Find Your Dream Career

Hims & Hers is the leading health and wellness platform, on a mission to help the world feel great through the power of better health. We are redefining healthcare by putting the customer first and delivering access to care that is affordable, accessible, and personal, from diagnosis to treatment to delivery. No two people are the same, so we provide access to personalized care designed for results. By normalizing health & wellness challenges and innovating on their solutions, we're making better health outcomes easier to achieve. Hims & Hers is a public company, traded on the NYSE under the ticker symbol "HIMS." To learn more about the brand and offerings, you can visit hims.com/about and hims.com/how-it-works . For information on the company's outstanding benefits, culture, and its talent-first flexible/remote work approach, see below and visit www.hims.com/careers-professionals . About the Role: How do we make advanced AI/ML not just powerful but trustworthy enough to run in a regulated healthcare environment? We're looking for a Senior Staff engineer who can own that question end to end: the data pipelines that feed our models and evaluations, and the evaluation infrastructure — judges, scorers, statistical regression gates, red-team testing — that decides whether AI models are effective and safe to ship to patients. This is a leadership role for someone who works comfortably across disciplines. You'll set technical direction for how we build, version, and trust the data and judgments that our AI products are evaluated against. Your scope will expand from raw data ingestion and feature/dataset pipelines, through evaluation methodology and statistical rigor, to the reporting surfaces that let clinical and product teams act on what we learn. You'll spend most of your time on problems that don't have an existing playbook: ambiguous, cross-team, and genuinely hard to reason about. The job is to bring clarity to that ambiguity, chart a path the rest of the team and organization can follow, and see it through from idea to production, building the relationships and buy-in along the way to make it stick. You Will: Own the evaluation as a whole, not just a slice of it Set the technical direction for our evaluation systems; metric, judge and scorer design, the statistical methodology behind regression decisions, and the infrastructure that tracks and categorizes failures over time. Design and scale the data pipelines — ingestion, transformation, dataset versioning, labeling and calibration workflows — that both evaluation and downstream data science work depend on. Proactively address challenges in scaling and complexity AI evaluation. Lead projects that span teams and quarters Define how we evaluate any new AI service from scratch. Drive multi-team initiatives like replacing manual, inconsistent review processes with statistically sound, automated gates. Own our approach to adversarial and red-team evaluation as a risk-reduction program, designing the test suites and failure taxonomies that catch safety and edge-case issues before they reach patients. Work through complex, cross-team technical disagreements and drive alignment across engineering, product and AI leaders. Turn hard, ambiguous problems into solutions other teams can build on Originate new approaches and methodology that becomes a reusable standard rather than a one-off fix. Take vague, cross-team pain points ("we do this manually and it's inconsistent") all the way from a rough idea to a fully-specified, shipped system, without needing to hand off any part of the journey. Lead major platform improvements; re-architecting core systems, removing brittle logic, modernizing how things run with impact that's felt org-wide, not just on your own team. Grow the people and the network around you Build real working relationships across ML engineering, data science, platform engineering, clinical, legal, and product, the kind of trust that gets you looped in early, before decisions are locked in. Become a go-to voice on evaluation methodology and data pipeline design: share what you've learned in internal talks, write things up so other teams can use them, and expect your ideas to shape how others approach similar problems. Mentor other engineers, including experienced ones, and help raise the technical and statistical bar of the teams you work with. You Have: 10+ years of experience in ML infrastructure, data engineering, or evaluation/testing systems, with a track record of impact that reaches beyond a single team or project. Hands-on depth in evaluation systems: designing and calibrating LLM judges/scorers, building statistically sound regression-testing methodology (e.g., paired significance testing with proper correction for multiple comparisons), measuring agreement against human labels, and designing adversarial/red-team evaluation approaches. Hands-on depth in data pipeline engineering: dataset versioning, feature and benchmark pipelines, labeling and calibration workflows, and high-throughput ingestion and transformation systems. A history of building things that became the standard approach for others — not just solving your own problem, but changing how a broader group of people tackle a category of problem. Experience leading multi-team projects to completion, including navigating and resolving genuine technical disagreement along the way. A track record of mentoring other engineers, including senior ones, and visibly raising the bar for the teams around you. Excellent communication — comfortable adapting the same idea for different audiences, and confident building support for it well before launch. Strong Python, and enough statistical fluency to design and defend a testing framework that real production decisions ride on. Nice to Have: Experience with Databricks, MLflow, Unity Catalog, or similar data/eval platforms. Experience building reporting tools for people without direct engineering access (e.g., automated Slack digests, spreadsheet reports for non-technical teams). Prior experience in a regulated industry (healthcare, fintech, life sciences). A track record of company-wide talks or write-ups that changed how other teams approached a problem. Our Benefits (there are more but here are some highlights): Competitive salary & equity compensation for full-time roles Unlimited PTO, company holidays, and quarterly mental health days Comprehensive health benefits including medical, dental & vision, and parental leave Employee Stock Purchase Program (ESPP) 401k benefits with employer matching contribution Offsite team retreats We are committed to building a workforce that reflects diverse perspectives and prioritizes ethics, wellness, and a strong sense of belonging. If you're excited about this role, we encourage you to apply—even if you're not sure if your background or experience is a perfect match. Hims considers all qualified applicants for employment, including applicants with arrest or conviction records, in accordance with the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance, the California Fair Chance Act, and any similar state or local fair chance laws. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Hims & Hers is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at accommodations@forhims.com and describe the needed accommodation. Your privacy is important to us, and any information you share will only be used for the legitimate purpose of considering your request for accommodation. Hims & Hers gives consideration to all qualified applicants without regard to any protected status, including disability. Please do not send resumes to this email address. To learn more about how we collect, use, retain, and disclose Personal Information, please visit our Global Candidate Privacy Statement .

Company Description Givebutter is the most-loved nonprofit fundraising and CRM platform, empowering millions of changemakers to raise more, pay less, and give better. Nonprofits use Givebutter to replace multiple tools so they can launch fundraisers and events, use donation forms and donor management (CRM), send emails and text blasts—all in one place. Use of the Givebutter platform is completely free with a 100% transparent tip-or-fee model. Givebutter has been certified as a Great Place to Work® every year since 2021, and is the #1 rated nonprofit software company on G2 across multiple categories. Our mission is to empower the changemaker in all of us. We believe giving should be fun, so you'll want to do it again, and we also believe that work should be fun, so that you'll have the greatest impact. We are excited to hear from talented people who want to work with other talented people in making the world a butter place—and have fun along the way. Role Description Givebutter is hiring an Engineering Manager to lead our Treasury pod. You'll be directly responsible for delivering world-class financial infrastructure to our nonprofit users, maturing our engineering practices, and growing a team of skilled engineers. Engineering Managers at Givebutter are hands-on. You'll ship code, review PRs, make architectural decisions from a place of actual context, and stay close to production - monitoring systems, jumping into incidents, and understanding how your team's work actually behaves in the wild. We don't expect you to carry IC load like a senior engineer, but we do expect you to be in the editor regularly, pair when it helps the team, and prototype your way through ambiguity. If you've been fully out of the code for years and want to stay there, this probably isn't the right fit. The managers who thrive here earn trust on both the people side and the technical side. You'll report directly to our VP of Engineering and carry out our product vision while building a scalable engineering culture that breeds innovation. You'll make sure we ship excellent user experiences on time without compromising on security, design, or performance. You'll cultivate a team of high performers by removing roadblocks, building processes that incentivize excellence, and bringing real expertise in fintech and financial systems. We've already built a strong foundation, powering hundreds of millions of donations to over 40k organizations, and you'll take that impact much further. Why join Givebutter's Engineering team? Code Democracy – Every engineer has a voice. We value diverse perspectives and foster an environment for open discussion on architecture and technical ideas. Autonomy & Focus – Our engineers enjoy flexibility with minimal meetings and uninterrupted time to dive deep into problem-solving. Seamless CI/CD – Our deployment pipelines are fully automated, enabling engineers to focus on creating impactful code rather than managing deployments. Mission-Driven Work – You'll be part of a team that supports nonprofits, charities, and organizations making a real difference around the world. What You'll Bring to the Team An execution mindset with a strong bias toward delivering and iterating A product-oriented approach with a keen eye for consistency and user impact A passion for leadership and the ability to scale engineering practices in a high-growth environment Experience building financial products and a deep understanding of money movement, compliance, and financial infrastructure Responsibilities Collaborate with the VP of Engineering to develop and execute the Treasury engineering strategy Lead, manage, and mentor a talented team of full-stack engineers building Givebutter Wallet features, payment tools, and financial dashboards Own the Treasury engineering function, setting technical direction and ensuring alignment with company objectives Drive the development of same-day ACH transfer tools, card issuing systems, and QuickBooks integration that help nonprofits move money faster Build and maintain financial infrastructure that enables nonprofits to earn rewards on their funds and put money to work faster Bring technical expertise to the evolution of Givebutter's financial systems; ensure architecture and stack are optimized for security, reliability, and growth Improve internal engineering workflows, continually refining best practices Champion code quality across the team and uphold a high standard for maintainable and scalable solutions Evaluate and apply AI and machine learning tools to drive innovation in financial product development Requirements 7+ years of experience in full-stack development with expertise in modern web technologies (e.g., React, JavaScript, TypeScript, PHP/Laravel) Hands-on experience designing and building scalable financial or fintech systems, ideally including payment processing, ACH, card issuing, or accounting integrations At least 2+ years of experience managing a team of 5+ engineers Strong understanding of financial compliance, security requirements, and data integrity in regulated environments Proven experience in people management, mentorship, and clear communication Demonstrated success in hiring and developing remote engineering teams Experience in a product-led growth environment is a strong plus More about Givebutter Benefits Remote Work: Work remotely from one of our 10 hubs (Austin, Denver, Indianapolis, Los Angeles, San Francisco, New York, Salt Lake City, Minneapolis, Seattle, and Nashville). Health Insurance: We offer Medical, Dental, and Vision insurance covered 100% for employees as well as HSA and FSA accounts. Dependent Care Coverage: We offer coverage for dependents, with 50% of Medical, Dental, and Vision premiums covered for all eligible dependents. Mental Health: Givebutter health insurance plans come with access to a TalkSpace membership. 401k: We offer a 3% 401k match for all eligible employee's. Vacation and Holidays: Givebutter offers a Flexible PTO policy with uncapped vacation days and company-recognized holidays. Wellness Week: Givebutter closes for one week each summer to prioritize rest and recharge for the entire team. Parental Leave: We offer 12 weeks of paid leave for all parents and comprehensive leave planning management through Aidora. Family Care Support: Access a company-paid UrbanSitter membership plus care credits to book trusted, background-checked caregivers for childcare, senior care, pet care, and household support when you need it most. Home Office Stipend: Upgrade your home office with company-sponsored expenses, including high-quality laptops, monitors, and modern technology. Coworking Stipend: Enjoy a monthly stipend that gives you the freedom to work from coworking spaces or cafés whenever you need connection, community, or a change of scenery. Charitable Giving: Employees are encouraged to donate up to $50/month to any verified nonprofit they wish to support on Givebutter. Professional Development: We offer learning and development reimbursement opportunities. Love What You Do: We are a mission-driven company serving the charitable sector. Feel good about the work you're doing and the company you work for. Interview Process Below is a high-level outline of our standard interview process Recruiter Screen: A 30-minute conversation to learn more about your background, walk through the role, and ensure mutual alignment on expectations, values, and logistics. Hiring Manager Interview: A deeper dive into your relevant experience, skillset, and working style. This is your first opportunity to connect directly with the person who may be your future manager. Assessment (technical or non-technical): This stage will vary based on the role. It could involve a live coding session, case study, or take-home project. Some roles may include two parts to this stage to evaluate both practical skills and problem-solving approaches Values Interview: A conversation with team members focused on how you align with our core values and leadership principles. References: We connect with a few folks you've worked closely with to get a better picture of your working style and impact. Offer: If all goes well, we'll move to the offer stage! Please note, we will have an AI note-taking tool join most of our interviews. Hi potential new butterslice! A recent study from LinkedIn showed that most women apply to jobs only when they meet 100% of the requirements, whereas men will hit the apply button if they hit 60%. Givebutter is committed to building a diverse and inclusive team. So to the women and nonbinary folks out there feeling unsure if you're a perfect fit, we strongly encourage you to apply!

About Upstart At Upstart, we're united by a mission that matters: to radically reduce the cost and complexity of borrowing for all Americans. Every day, we bring creativity, experimentation, and advanced AI to reshape access to credit, helping millions move forward financially with clarity and confidence. As the leading AI lending marketplace, we partner with banks and credit unions to expand access to affordable credit through technology that's both radically intelligent and deeply human. Our platform runs over one million predictions per borrower using more than 3,000 signals, powering smarter, fairer decisions for millions of customers. But the numbers only hint at the impact. Every idea, every voice, and every contribution moves us closer to a world where credit never stands between people and their financial progress. We're proudly digital-first, giving most Upstarters the flexibility to do their best work from wherever they thrive, alongside teammates across 80+ cities in the US and Canada. Digital-first doesn't mean distant. We're intentional about in-person connection through team onsites, planning sessions, and moments that spark creativity and trust. And whether you choose to work primarily from home or collaborate in-person from one of our offices in Columbus, Austin, the Bay Area, or New York City, you'll have the support to work in the way that works best for you. If you're energized by tackling meaningful problems, excited to innovate with purpose, and motivated by work that truly matters, we'd love to hear from you. The Team: Upstart Bank is a purpose-built, technology-enabled bank that combines innovative lending with disciplined balance sheet and risk management. The Treasury team supports sustainable growth by managing the Bank's funding, liquidity, capital, investment portfolio, and interest rate risk across changing market conditions and economic cycles. As the ALM Manager, you will own the Bank's first-line asset and liability management and interest rate risk management framework. Reporting to the Bank Treasurer, you will lead implementation and ongoing operation of the Bank's ALM platform, develop and govern key behavioral assumptions, analyze net interest income and economic value sensitivity, and translate model results into balance sheet and risk-management recommendations. You will partner closely with Finance, Risk, Lending, Deposit Product, Accounting, Data, Engineering, and Regulatory Reporting to support a resilient and well-managed balance sheet. How you'll make an impact Own the Bank's asset and liability management and interest rate risk measurement framework, including net interest income simulation, economic value of equity sensitivity, repricing gap analysis, and other measures used to assess earnings and capital exposure across changing rate environments. Lead implementation, configuration, and ongoing administration of the Bank's ALM platform, including data mapping and staging, source-to-model reconciliations, model controls, change management, vendor coordination, and issue resolution. Develop, document, and regularly evaluate behavioral and market assumptions, including deposit betas and decay, loan prepayments and curtailments, repricing characteristics, funding rollover behavior, yield curves, and product optionality; perform sensitivity analysis, backtesting, and outcomes analysis. Design and evaluate parallel and non-parallel rate shocks, ramps, curve twists, and business-plan scenarios; identify key drivers of risk, monitor limits and early warning indicators, and explain period-over-period changes in the Bank's interest rate risk profile. Recommend balance sheet, product pricing, funding, investment, and hedging actions to manage interest rate risk within approved appetite and limits, and partner with business leaders to assess the ALM implications of new products and changes in balance sheet strategy. Prepare clear, decision-useful ALM and IRR reporting for the Asset and Liability Committee, executive management, the Board, Internal Audit, and regulators, while supporting policy administration, model risk management, independent validation, examinations, audits, and continuous improvement of Treasury reporting. Minimum Qualifications Bachelor's degree in Finance, Accounting, Economics, Business, Mathematics, Statistics, or a related field, or equivalent practical experience. 10+ years of experience in bank treasury, asset and liability management, interest rate risk management, balance sheet management, or a closely related discipline. Experience working within a commercial bank, community bank, or bank holding company and applying bank ALM and interest rate risk concepts in a regulated environment. Hands-on experience operating an ALM platform and producing net interest income and economic value sensitivity analyses under multiple rate and balance sheet scenarios. Experience developing and governing model assumptions, reconciling source data to model inputs, analyzing model results, monitoring policy limits, and preparing ALM or IRR reporting for senior management or an Asset and Liability Committee. Preferred Qualifications Experience presenting ALM and interest rate risk analyses to an Asset and Liability Committee, executive management, a Board or Board committee, auditors, and bank regulators. Knowledge of applicable bank regulatory guidance for interest rate risk and model risk management, including OCC, Federal Reserve, and FDIC supervisory expectations. Experience with fixed-rate consumer lending, retail and wholesale deposits, investment securities, derivatives, and the balance sheet dynamics of a de novo or rapidly growing bank. Advanced spreadsheet and financial modeling skills; proficiency with SQL or similar data tools; and familiarity with ALM platforms such as Empyrean, QRM, BancWare, Moody's Analytics, or similar systems. Experience supporting independent model validation, assumption backtesting, model change governance, hedging analysis, or funds transfer pricing; CFA, FRM, or another relevant professional credential is a plus. Position location This role is available in the following locations: Remote Travel requirements As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S but are encouraged to to still spend high quality time in-person collaborating via regular onsites. The in-person sessions' cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time. #LI-REMOTE #LI-MidSenior At Upstart, your base pay is one part of your total compensation package. The anticipated base salary for this position is expected to be within the below range. Your actual base pay will depend on your geographic location–with our "digital first" philosophy, Upstart uses compensation regions that vary depending on location. Individual pay is also determined by job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. In addition, Upstart provides employees with target bonuses, equity compensation, and generous benefits packages (including medical, dental, vision, and 401k). United States | Remote - Anticipated Base Salary Range $159,500—$220,700 USD What you'll love At Upstart, our benefits for full-time employees are designed to support your health, financial well-being, family, and personal growth. Here's what you can expect: Competitive compensation, including base pay, bonus opportunities, and annual equity grants that vest quarterly Retirement benefits to help you plan for the future, including a 401(k) or Group Retirement Savings Plan with a company match of $2 for every $1 contributed, up to $15,000 annually (USD in the US, CAD in Canada) Employee Stock Purchase Plan (ESPP) with discounted stock purchase options for eligible employees (US only) Comprehensive health coverage designed to support you and your family, including medical, dental, vision, and wellness resources for US and supplemental health coverage for Canada. Health Savings Account contributions from Upstart for eligible plans (US only) Income protection benefits, including life insurance and disability coverage for added financial security Paid time off, sick leave, and company holidays, in line with local requirements Paid family and parental leave to support caregiving and major life moments (duration varies by country) Family-centered benefits to support fertility, parenthood, and caregiving needs Employee Assistance Program (EAP) offering mental health support and life-centered resources Financial wellness resources, including access to financial planning tools and a financial concierge service (US Only) Annual wellness allowance to support your physical and emotional well-being and personal development, based on what matters most to you Annual productivity allowance to invest in relevant tools and resources you need to do your best work, no matter where you work from Connection and community through team events, all-company updates, and employee resource groups (ERGs) Onsite perks, including catered lunches and fully stocked micro-kitchens when working from one of our offices in the Bay Area, Austin, Columbus, and New York City For roles based in Canada, please note that we are not currently able to hire in Quebec. Upstart is a proud Equal Opportunity Employer. Just as we are dedicated to improving access to affordable credit for all, we are committed to inclusive and fair hiring practices. If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email candidate_accommodations@upstart.com https://www.upstart.com/candidate_privacy_policy

About Upstart At Upstart, we're united by a mission that matters: to radically reduce the cost and complexity of borrowing for all Americans. Every day, we bring creativity, experimentation, and advanced AI to reshape access to credit, helping millions move forward financially with clarity and confidence. As the leading AI lending marketplace, we partner with banks and credit unions to expand access to affordable credit through technology that's both radically intelligent and deeply human. Our platform runs over one million predictions per borrower using more than 3,000 signals, powering smarter, fairer decisions for millions of customers. But the numbers only hint at the impact. Every idea, every voice, and every contribution moves us closer to a world where credit never stands between people and their financial progress. We're proudly digital-first, giving most Upstarters the flexibility to do their best work from wherever they thrive, alongside teammates across 80+ cities in the US and Canada. Digital-first doesn't mean distant. We're intentional about in-person connection through team onsites, planning sessions, and moments that spark creativity and trust. And whether you choose to work primarily from home or collaborate in-person from one of our offices in Columbus, Austin, the Bay Area, or New York City, you'll have the support to work in the way that works best for you. If you're energized by tackling meaningful problems, excited to innovate with purpose, and motivated by work that truly matters, we'd love to hear from you. The Role As an Applied Scientist Intern, you will become a specialist in our models, products, business and/or codebase. You will identify potential problems or opportunities for improvement, communicate these to the team and suggest solutions. This involves self-directed investigation, offline analyses using creative thinking as well as presentation to the ML team. You will receive mentorship from experienced ML practitioners and collaborate closely with the team to improve our products and models. How you'll make an impact Research machine learning and statistical approaches to discover improvements to the predictive performance and/or business value of a model. Design, implement, and evaluate model, product, or technical enhancements using rigorous experimentation and validation methods. Translate research findings into clear recommendations, documented methodologies, and production-ready solutions. Work with your mentor to align stakeholders, and drive next steps. Minimum Qualifications Bachelor. Masters or PHD degree in mathematics, statistics, physics, econometrics, computer science, or a related quantitative field. On track to graduate by 2028. Strong fundamentals in statistical, probability, and machine learning theory. Ability to perform data analysis and evaluate machine learning or statistical models using Python, as well as basic SQL foundations. Intellectual curiosity, humility, drive and teamwork. Strong communication skills. Ability to use modern agentic tooling (Claude Code, Codex, …) efficiently. Preferred Qualifications Phd in mathematics, statistics, physics, econometrics, computer science, or a related quantitative field. On track to graduate by the summer of 2028. Experience in supervised learning, model evaluation, and feature engineering techniques. Advanced statistical (frequentist, bayesian, causal) theory/econometrics knowledge. Strong coding skills in Python. Position location This role is Fully Remote Travel requirements As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S but are encouraged to to still spend high quality time in-person collaborating via regular onsites. To this end, over the course of the internship, you will meet to collaborate once or twice, for 2-4 consecutive days at a time. What you'll love At Upstart, our intern benefits are designed to support your health, financial well-being, and everyday needs while you're here. Here's what you can expect: Comprehensive medical, dental and vision coverage Health Savings Account (HSA), including $800 in employer funding for employee-only coverage or $1,600 when covering dependents A $150 monthly medical opt-out credit if you choose to waive Upstart's health plan Income protection benefits, including life insurance and disability coverage for added financial security Access to Flex Spending Accounts to manage eligible health and caregiving expenses with pre-tax dollars Pre-tax commuter program to help with eligible transportation expenses #LI-REMOTE #LI-Internship At Upstart, your base pay is one part of your total compensation package. The anticipated base salary for this position is expected to be within the below range. Your actual base pay will depend on your geographic location–with our "digital first" philosophy, Upstart uses compensation regions that vary depending on location. Individual pay is also determined by job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. In addition, Upstart provides employees with target bonuses, equity compensation, and generous benefits packages (including medical, dental, vision, and 401k). United States | Remote - Anticipated Base Salary Range $141,000—$150,000 USD What you'll love At Upstart, our benefits for full-time employees are designed to support your health, financial well-being, family, and personal growth. Here's what you can expect: Competitive compensation, including base pay, bonus opportunities, and annual equity grants that vest quarterly Retirement benefits to help you plan for the future, including a 401(k) or Group Retirement Savings Plan with a company match of $2 for every $1 contributed, up to $15,000 annually (USD in the US, CAD in Canada) Employee Stock Purchase Plan (ESPP) with discounted stock purchase options for eligible employees (US only) Comprehensive health coverage designed to support you and your family, including medical, dental, vision, and wellness resources for US and supplemental health coverage for Canada. Health Savings Account contributions from Upstart for eligible plans (US only) Income protection benefits, including life insurance and disability coverage for added financial security Paid time off, sick leave, and company holidays, in line with local requirements Paid family and parental leave to support caregiving and major life moments (duration varies by country) Family-centered benefits to support fertility, parenthood, and caregiving needs Employee Assistance Program (EAP) offering mental health support and life-centered resources Financial wellness resources, including access to financial planning tools and a financial concierge service (US Only) Annual wellness allowance to support your physical and emotional well-being and personal development, based on what matters most to you Annual productivity allowance to invest in relevant tools and resources you need to do your best work, no matter where you work from Connection and community through team events, all-company updates, and employee resource groups (ERGs) Onsite perks, including catered lunches and fully stocked micro-kitchens when working from one of our offices in the Bay Area, Austin, Columbus, and New York City For roles based in Canada, please note that we are not currently able to hire in Quebec. Upstart is a proud Equal Opportunity Employer. Just as we are dedicated to improving access to affordable credit for all, we are committed to inclusive and fair hiring practices. If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email candidate_accommodations@upstart.com https://www.upstart.com/candidate_privacy_policy

About Karbon Karbon is the global leader in AI-powered practice management software for accounting firms. We provide an award-winning cloud platform that helps tens of thousands of accounting professionals work more efficiently and collaboratively every day. With customers in 40 countries, we have grown into a globally distributed team across the US, Australia, New Zealand, Canada, the United Kingdom, and the Philippines. We are well-funded, ranked #1 on G2, growing rapidly, and have a people-first culture that is recognized with Great Place To Work® certification and on Fortune magazine's Best Small Workplaces™ List. Karbon is further ahead on AI adoption than most companies our size. Every department is running AI daily. Hundreds of skills and workflows have been built by our own team. Fourteen department champions drive adoption and share knowledge across the business. The foundation is real and it works. The next phase is scale. We need one person whose entire job is extending what we have built, measuring what it returns, and adding the next layer of capability. Not a strategy deck. A working system, the governance that makes it trustworthy, and the numbers that prove it. You will report into the CEO and work across every department. You will have the access and sponsorship to make changes stick. About the Role Build the Tooling Ship internal automations and agents that remove repeated manual work across Sales, CS, Implementation, Support, and Operations. Connect AI to the systems we already run, through APIs and MCP servers. The first build is the data gateway. Karbon runs its own MCP server. You extend it into a routing proxy that sits between Claude and every internal data source teams need. Authentication via Okta. RBAC enforcement by department. Request logging for spend attribution and audit. Once the gateway is approved by Security, new connectors plug into a config entry instead of triggering a full review each time. That is your first thirty days. After that: CS gets a renewal risk signal. Sales gets a proposal draft automation. Implementation gets a SOW generator with scope-creep flags. Support gets a ticket triage router. Prototype fast. Harden what people use. Delete what they ignore. Hand every tool to an owner in the team that uses it. You build it. They run it. Own Governance and Visibility Manage the Claude access and provisioning workflow — seat requests, model and tool access, connector approvals — and the Slack workflows that support it. Run the connector security review pipeline in partnership with Security. Own the spend dashboard across all AI tools, not just Claude. Cursor, Codex, Linear AI, and anything else the org is running sit alongside Claude in one view. Department leaders see their own number weekly without asking you to pull it. Bad trends surface before they become invoice surprises. Extend that visibility into an ROI framework: adoption rate, hours saved, cost per seat, project-level impact. Partner with Finance on budget accountability. Run the AI champions program. Fourteen department champions, organized into pods, own peer enablement and skill submissions within their teams. You run the cadences, maintain the hub pages, and hold champions accountable for engagement. When people leave Karbon, their projects and skills do not leave with them. You own the offboarding flow that captures and reassigns that work. Build and maintain the AI wiki — per-department documentation of tools, active use cases, and skills in use. Keep it current as tools evolve. Train Teams and Set the Standard Work with each department lead to agree how their team uses AI, then hold that standard. Run practical training. Short, specific, and repeatable. Teach people the efficient way to get the same answer. Most cost problems are habit problems. After month one, you know what each team's workflows look like because you built them. That makes you a better trainer than anyone who has not. Build and maintain a shared library of prompts, skills, and patterns so knowledge stays when a person leaves. Own the pipeline that moves skills from intake through review to the shared library — and automate the parts of it that should not require a human. Measure and Report the Return Define the small set of metrics that show whether AI is working: cost, adoption, delivery, and quality. Build the data pipelines behind those metrics. Expect the source data to be messy. Publish a regular report to the executive team. Same format every time. Bad news included. Delete any metric that has not changed a decision in a quarter. About You! You shipped production software in the last two years, as the person writing the code. Python or TypeScript, SQL, and REST APIs. You built something real on top of a large language model. Not a demo. Something with users, error handling, and a cost you had to control. You worked directly with non-technical teams as the technical person in the room. Forward deployed engineer, solutions engineer, GTM engineer, internal tools engineer, or similar. You know what a CS renewal motion looks like and what implementation scoping feels like. You do not need to have worked in those roles. You need to have built something those teams actually used. You can build a number out of messy data and defend it to a CFO. You have run a cross-functional program where the participants did not report to you — a champion network, an ambassador program, an adoption initiative. You know how to create accountability without authority. You write clearly, and you can say no to work that will not pay off. Bonus Points: Accounting, professional services, or B2B software market experience. Familiarity with MCP server development, Claude API, or agent frameworks. Experience with Okta or similar identity providers. What Success Looks Like! By month six: Three automations run in production, each owned by the team that uses it. Every department leader can see their own AI usage and cost, including spend outside Claude. The spend dashboard is live and trusted. Your first report to the executive team is argued with, not just acknowledged. The gateway has Security sign-off and every new connector goes through it. By month twelve: Cost per unit of work delivered is moving in the right direction, and everyone agrees on how it is calculated. Three departments extend and run their own tools without you. New starters learn our way of working with AI as part of onboarding. Champion pods are submitting and reviewing skills without you in the loop. The AI wiki is maintained by department owners, not by you. Why Work at Karbon? Gain global experience across Australia, New Zealand, UK, and Canada Strong benefits package including: Flexible Time Off with an encouraged 4 weeks use per year Company paid medical for you and eligible spouse/partner and dependents Paid dental and vision and eligible spouse/partner and dependents 401(k) with company matching Flexible Spending Account Up to 8 weeks paid parental leave Work-from-home stipend Work with (and learn from) an experienced, high-performing team A collaborative, team-oriented culture that embraces diversity, invests in development and provides consistent feedback Be part of a fast-growing company that firmly believes in promoting high performers from within As we hire across various locations within the USA we are required by law to include a reasonable estimate of the compensation range for this role. The range provided is broad and takes into consideration a wide range of factors that are reviewed when making a hiring decision, such as physical location/cost of living in that location, years of experience, skills, and other business needs. It is not typical for a candidate to be hired at or near the top of the pay range and each compensation decision is dependent on each individual case. The base salary is one component of the total compensation package, which for some roles may include a target bonus, for some roles very competitive equity grant, and very generous benefits. While we believe competitive compensation is a critical aspect of you deciding to join us, we do hope you also spend time considering why our mission, purpose and values are right for you. We are creating something transformational here, and we hope you are as excited about the future as we are! The estimated base salary range for this role is: $180,000—$190,000 USD Please be aware that Karbon will only contact you via email from our domain, karbonhq.com. If you receive an email from any other domain, please do not click any of those links. Karbon embraces diversity and inclusion, aligning with our values as a business. Research has shown that women and underrepresented groups are less likely to apply to jobs unless they meet every single criteria. If you've made it this far in the job description but your past experience doesn't perfectly align, we do encourage you to still apply. You could still be the right person for the role! We recruit and reward people based on capability and performance. We don't discriminate based on race, gender, sexual orientation, gender identity or expression, lifestyle, age, educational background, national origin, religion, physical or cognitive ability, and other diversity dimensions that may hinder inclusion in the organization. Generally, if you are a good person, we want to talk to you. If there are any adjustments or accommodations that we can make to assist you during the recruitment process, and your journey at Karbon, contact us at people.support@karbonhq.com for a confidential discussion. At this time, we request that agency referrals are not submitted for this position. We appreciate your understanding and encourage direct applications from interested candidates. Thank you!

About Upstart At Upstart, we're united by a mission that matters: to radically reduce the cost and complexity of borrowing for all Americans. Every day, we bring creativity, experimentation, and advanced AI to reshape access to credit, helping millions move forward financially with clarity and confidence. As the leading AI lending marketplace, we partner with banks and credit unions to expand access to affordable credit through technology that's both radically intelligent and deeply human. Our platform runs over one million predictions per borrower using more than 3,000 signals, powering smarter, fairer decisions for millions of customers. But the numbers only hint at the impact. Every idea, every voice, and every contribution moves us closer to a world where credit never stands between people and their financial progress. We're proudly digital-first, giving most Upstarters the flexibility to do their best work from wherever they thrive, alongside teammates across 80+ cities in the US and Canada. Digital-first doesn't mean distant. We're intentional about in-person connection through team onsites, planning sessions, and moments that spark creativity and trust. And whether you choose to work primarily from home or collaborate in-person from one of our offices in Columbus, Austin, the Bay Area, or New York City, you'll have the support to work in the way that works best for you. If you're energized by tackling meaningful problems, excited to innovate with purpose, and motivated by work that truly matters, we'd love to hear from you. The Team: Upstart's Machine Learning Growth team develops models that help optimize borrower acquisition across marketing channels. The Direct Mail team focuses on causal machine learning models that predict incremental conversion and help prioritize prospects, and its scope is expanding beyond Personal Loans into Home Equity Line of Credit (HELOC), email marketing, digital, and other marketing use cases. The Role: As an Applied Scientist at Upstart, you will improve existing models and develop new approaches that expand the team's impact across marketing channels. You will work across business-oriented analysis, machine learning research, experimentation, and production-ready modeling, partnering primarily within Machine Learning and with Growth and Marketing Platform Engineering stakeholders. How you'll make an impact: Analyze historical model and campaign performance to identify opportunities to improve model effectiveness and marketing outcomes. Develop and evaluate machine learning models, including researching new features and model architectures, to improve prospect selection and support new marketing use cases. Design statistically rigorous experiments and model evaluations to measure causal impact, optimize campaign outcomes, and inform decisions. Navigate complex, messy datasets and build reusable data pipelines, metrics, and analytical approaches that enable efficient model development and analysis. Partner with Machine Learning, Growth, and Marketing Platform Engineering teams to translate business problems into research agendas, intermediate milestones, and production-ready solutions. Expand machine learning capabilities beyond direct mail into lifecycle, email, digital, and other emerging marketing channels. Minimum Qualifications: Master's Degree in Mathematics, Statistics, Economics, Operations Research or a related field Experience applying statistical and machine learning methods to modeling or data science problems. Experience using Python for data analysis, data preparation, and machine learning model development. Experience with causal inference and experimental design, including statistically rigorous evaluation of model or experiment performance Preferred Qualifications: PhD in Mathematics, Statistics, Economics, Operations Research or a related field (or its equivalent) Knowledge of causal machine learning methods and modeling approaches. Ability to translate broadly scoped business problems into structured research questions, analyses, and modeling approaches. Experience working across exploratory data analysis, machine learning research, experimentation, and production model development and scaling. Ability to interpret complex experimental or modeling results and translate findings into actionable recommendations. Experience applying machine learning to marketing, customer acquisition, lifecycle, or other growth use cases. Travel requirements As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S or Canada (outside of Quebec) but are expected to spend high quality time in-person collaborating via regular onsites and in-person meetings. The onsite cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time. At Upstart, your base pay is one part of your total compensation package. The anticipated base salary for this position is expected to be within the below range. Your actual base pay will depend on your geographic location–with our "digital first" philosophy, Upstart uses compensation regions that vary depending on location. Individual pay is also determined by job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. In addition, Upstart provides employees with target bonuses, equity compensation, and generous benefits packages (including medical, dental, vision, and 401k). United States | Remote - Anticipated Base Salary Range $141,500—$196,000 USD At Upstart, your base pay is one part of your total compensation package. The anticipated base salary for this position is expected to be within the below range. Your actual base pay will depend on your geographic location–with our "digital first" philosophy, Upstart uses compensation regions that vary depending on location. Individual pay is also determined by job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. In addition, Upstart provides employees with target bonuses, equity compensation, and generous benefits packages (including medical, dental, vision, and 401k). Canada | Remote - Anticipated Base Salary Range $130,900—$160,000 CAD What you'll love At Upstart, our benefits for full-time employees are designed to support your health, financial well-being, family, and personal growth. Here's what you can expect: Competitive compensation, including base pay, bonus opportunities, and annual equity grants that vest quarterly Retirement benefits to help you plan for the future, including a 401(k) or Group Retirement Savings Plan with a company match of $2 for every $1 contributed, up to $15,000 annually (USD in the US, CAD in Canada) Employee Stock Purchase Plan (ESPP) with discounted stock purchase options for eligible employees (US only) Comprehensive health coverage designed to support you and your family, including medical, dental, vision, and wellness resources for US and supplemental health coverage for Canada. Health Savings Account contributions from Upstart for eligible plans (US only) Income protection benefits, including life insurance and disability coverage for added financial security Paid time off, sick leave, and company holidays, in line with local requirements Paid family and parental leave to support caregiving and major life moments (duration varies by country) Family-centered benefits to support fertility, parenthood, and caregiving needs Employee Assistance Program (EAP) offering mental health support and life-centered resources Financial wellness resources, including access to financial planning tools and a financial concierge service (US Only) Annual wellness allowance to support your physical and emotional well-being and personal development, based on what matters most to you Annual productivity allowance to invest in relevant tools and resources you need to do your best work, no matter where you work from Connection and community through team events, all-company updates, and employee resource groups (ERGs) Onsite perks, including catered lunches and fully stocked micro-kitchens when working from one of our offices in the Bay Area, Austin, Columbus, and New York City For roles based in Canada, please note that we are not currently able to hire in Quebec. Upstart is a proud Equal Opportunity Employer. Just as we are dedicated to improving access to affordable credit for all, we are committed to inclusive and fair hiring practices. If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email candidate_accommodations@upstart.com https://www.upstart.com/candidate_privacy_policy

Please note: Our Talent team at Jobber will be offline for Jobber Impact - our flagship event of the year, bringing Jobberinos together to connect, learn, and celebrate what we're building - starting October 6th and extending until October 9th. We'll be back to go through applications and reach out with an update on your candidacy once we return next week! This will be updated automatically on all job posts above our What you can expect from Jobber headline. The automated email to candidates will have the same message as above. Do you think differently about risk? Are you excited by the idea of building credit risk management from the ground up, AI-native, rather than bolting AI onto an old playbook? Then Jobber might be the place for you. We're looking for a Manager, Credit Risk to join our Fintech department. Jobber exists to help people in small businesses be successful. We work with small home service businesses, like your local plumbers, painters, and landscapers, to transform the way service is delivered through technology. With Jobber they can quote, schedule, invoice, and collect payments from their customers while providing an easy and professional customer experience. Running a small business today isn't like it used to be—the way we consume and deliver service is changing rapidly, technology is evolving, and customers expect more. That's why we put the power and flexibility in their hands to run their businesses how, where, and when they want! Our culture of transparency, inclusivity, collaboration, and innovation has been recognized by Great Place to Work, Canada's Most Admired Corporate Cultures, and more. Jobber has also been named on the Globe and Mail's Canada's Top Growing Companies list, and Deloitte Canada's Technology Fast 50™, Enterprise Fast 15, and Technology Fast 500™ lists. With an Executive team that has over thirty years of industry experience of leading the way, we've come a long way from our first customer in 2011—but we've just scratched the surface of what we want to accomplish for our customers . The Team: Fintech is one of the fastest-growing parts of Jobber, and a core strategic priority for us as a company. We're investing in this area because we believe embedding financial tools within our product deepens our ability to help small businesses be successful—whether that's helping them get paid through Jobber Payments, or, in the near future, offering them access to capital through a growing lending business. Our Risk team is a critical part of the broader Fintech team, and core to Jobber's success. Credit Risk is responsible for the frameworks, models, and operational discipline that let us extend payments and lending products responsibly, protecting both our customers and Jobber from undue credit exposure. The Role: The Manager, Credit Risk will lead and grow a team of Credit Risk Analysts, owning the day-to-day operations of the credit risk function while helping build it into something more ambitious: an AI-native credit risk practice, built for Jobber Payments today and ready to scale into a growing lending business. This is a role for a builder, not a doer—someone who looks at a manual process or an ad hoc decision and asks how it should be automated, modeled, or systematized, rather than simply executed by hand. You'll work closely with Data Science and Risk Analytics to design and strengthen credit risk models, policies, and monitoring, and you'll partner cross-functionally across Fintech, Product, and Customer Support to make sure credit risk decisions are embedded seamlessly into the products our customers use every day. The Manager, Credit Risk will: Lead, coach, and grow a team of Credit Risk Analysts, setting the standard for how the team investigates, decisions, and communicates credit risk. Own credit risk operations end-to-end: underwriting and exposure decisions, portfolio monitoring, loss forecasting, and reporting on credit risk performance and trends. Partner closely with Data Science and Risk Analytics to build, validate, and improve credit risk models and decisioning logic, including scorecards, statistical models, and machine learning approaches where they add value. Champion an AI-native approach to credit risk management—using AI and automation to build novel solutions to novel problems, not just to speed up existing workflows. Build and strengthen the credit risk function for Jobber's payments business today, and lay the groundwork for credit risk management of a growing lending business. Work cross-functionally with Fintech, Product, and Customer Support teams to embed credit risk policy and controls into product and operational workflows. Develop a credit risk provisioning process and reserving practices building from IFRS9 or equivalent GAAP standards, partnering with Finance and Accounting as needed. Identify opportunities to automate manual credit risk processes and drive them from idea through to implementation. Report on credit risk exposure, portfolio health, and emerging trends to Fintech and Risk leadership. Support broader Fintech and Risk initiatives on credit-risk-relevant topics, including vendor evaluations and new product launches. To be successful, you should have: Demonstrated experience in credit risk, in financial services, fintech, payments, or lending, including people leadership or mentorship of an analyst team. A builder's mindset: a track record of solving problems through automation and tooling, not just process, and genuine enthusiasm for using AI to build new approaches to credit risk rather than only applying existing ones. A deeply data-centric approach to decision-making, with comfort working directly in the data rather than relying solely on others to produce it for you. Proficiency in SQL and Python (or a similar language), enough to independently pull, analyze, and interrogate data and to collaborate credibly with Data Science and Analytics. Working familiarity with statistical and machine learning approaches used in credit risk management (e.g., logistic regression, decision trees, gradient boosting)—you don't need to be a data scientist, but you should understand what these approaches do, how they work at a conceptual level, and when it's appropriate to apply them. Familiarity with IFRS9 or equivalent GAAP standards (e.g., CECL) for credit loss provisioning, or a strong ability to learn and apply this quickly. Strong written and verbal communication skills, with the ability to translate technical or quantitative findings into decisions that product, operations, and leadership stakeholders can act on. A genuine passion for fintech, and curiosity about how payments and lending products should manage risk differently than legacy financial institutions. The ability to embrace ambiguity and change—we don't know what we don't know, so you should be comfortable coming in and improving the process rather than waiting for one to be handed to you. The ability to work autonomously with strong time management skills. We are a mix of fully remote and hybrid distributed across the country. While you'll be part of a team, you'll need to be a self-starter who can find direction and guidance proactively. It would be really great (but not a deal-breaker) if you had: Familiarity with credit scorecards, including scorecard development, calibration, or monitoring. Experience building or overseeing credit risk models or policies for a lending product (installment loans, lines of credit, merchant cash advances, or similar). Experience with modern payments or lending infrastructure (e.g., Stripe, Adyen, Plaid, or similar). Experience working with or evaluating AI/ML tooling or vendors for risk decisioning. Familiarity with Slack, Salesforce, Asana, Confluence, or other collaboration tools. For extended remote roles: We believe great collaboration is intentional, and that means coming together in person to build, brainstorm, and connect from time to time. This role is open to candidates anywhere in Canada. Employees who live in one of our hub cities—Edmonton, Toronto, Vancouver, or Kitchener-Waterloo—will participate in their department's in-office schedule, while employees outside our hub cities will work remotely. Compensation: At Jobber, we believe that compensation should be transparent, fair, and reflective of your experience and growth. This role has a minimum annual salary of $121,000, a midpoint of $142,200, and a maximum salary of $163,600, designed to show the progression from learning the ropes to truly excelling. We design our compensation to reflect each new hire's skills, experience against the complexity of the role, ensuring a fair and competitive salary. Our range is intentionally broad to support growth and long-term impact, with fully established hires typically starting around the midpoint. The higher end of the range is reserved for those who have demonstrated deep expertise and lasting contributions, while offers below the midpoint reflect strong potential with room to develop. This approach ensures that compensation aligns with both an individual's current capabilities and their opportunity for future growth. Base salary is just one part of a total compensation package that will include equity rewards, annual stipends for health and wellness, retirement savings matching, and an extended health package with fully paid premiums for body and mind. Your professional growth matters to us too! You'll have access to a dedicated talent development program that includes career coaching and opportunities for career development. We believe in transparency and open conversations about compensation. If you have any questions about our approach, we're happy to discuss them throughout the hiring process! What you can expect from Jobber: A total compensation package that includes an extended health benefits package with fully paid premiums for both body and mind, matching in RRSP, TFSA or FHSA, and stock options. A dedicated Talent Development team and access to coaching, learning, and leadership programs to help you grow your career, reach your goals, and unlock your full potential. A unique opportunity to build, grow, and leave your impact on a $400-billion industry that has no dominant player...yet. To work with a group of people who are humble, supportive, and give a sh*t about our customers. We believe that diverse teams perform better and that fostering an inclusive work environment is a key part of growing a successful team. We welcome people of diverse backgrounds, experiences, and perspectives. We are an equal opportunity employer, and we are committed to working with applicants requesting accommodation at any stage of the hiring process. A bit more about us: Job by job, we're transforming the way service is delivered. Your lawn care provider, home cleaning service, plumber or painter could use Jobber to better connect with their customers, save time in the office, invoice faster, and get paid! We're bringing tens of thousands of people together with technology to deliver billions of dollars a year in services to happy customers. Jobber exists to help make these small businesses successful, and when they're successful we all win!

Please note: Our Talent team at Jobber will be offline for Jobber Impact - our flagship event of the year, bringing Jobberinos together to connect, learn, and celebrate what we're building - starting October 6th and extending until October 9th. We'll be back to go through applications and reach out with an update on your candidacy once we return next week! This will be updated automatically on all job posts above our What you can expect from Jobber headline. The automated email to candidates will have the same message as above. Does working with Data motivate and excite you? Do you want to make a difference cross functionally? Then Jobber might be the place for you! We're looking for a new Staff Data Engineer to join our Data Platform Team. Jobber exists to help people in small businesses be successful. We work with small home service businesses, like your local plumbers, painters, and landscapers, to transform the way service is delivered through technology. With Jobber they can quote, schedule, invoice, and collect payments from their customers, while providing an easy and professional customer experience. Running a small business today isn't like it used to be—the way we consume and deliver service is changing rapidly, technology is evolving, and customers expect more. That's why we put the power and flexibility in their hands to run their businesses how, where, and when they want! Our culture of transparency, inclusivity, collaboration, and innovation has been recognized by Great Place to Work, Canada's Most Admired Corporate Cultures, and more. Jobber has also been named on the Globe and Mail's Canada's Top Growing Companies list, and Deloitte Canada's Technology Fast 50™, Enterprise Fast 15, and Technology Fast 500™ lists. With an Executive team that has over thirty years of industry experience of leading the way, we've come a long way from our first customer in 2011—but we've just scratched the surface of what we want to accomplish for our customers . We help employees grow professionally; we have a ton of onboarding resources, tutorials, hackathons and buddies to support learnings and provide opportunities to innovate. We have a range of experience levels on teams which allows for mentor/mentee opportunities. Leaders at Jobber work with empathy and support employees to build healthy work-life harmony. Bring your dedication and passion to this job to fulfill your goals. The team: The Data Integration team's mission is to empower teams across Jobber with the right data, at the right time, in the right place, so they can deliver business value better and faster. Key responsibilities include: data ingestion and Change Data Capture (CDC), including materializing CDC streams into tables in Snowflake; data activation (egress); managing the systems involved in the movement and transformation of data; self-serve tooling; and data integrity and governance. The role: As a Staff Data Engineer, you will play a critical role in shaping the future of data integration at Jobber. As a technical champion and force multiplier, you'll lead and mentor a team of exceptional data engineers while solving complex technical challenges. Your expertise will span architecture, technical leadership, design, and hands-on coding, enabling you to significantly influence the direction of data at Jobber. Beyond day-to-day delivery, you will dedicate time to work acceleration, cross-team initiatives, exploration of emerging technologies, addressing technical debt, and investing in the future of engineering at Jobber. This is a highly strategic and hands-on position where you'll combine deep technical expertise with leadership to design resilient systems, empower teams across the organization to self-serve with confidence, and ensure our data remains a trusted asset that accelerates business growth. As a Staff Data Engineer, you will: Shape Foundational Data Components: Design, build, and maintain scalable batch and real-time data pipelines, while also looking across systems and ahead to anticipate future needs. Demonstrate Technical Mastery: Deliver high-quality solutions through deep expertise in modern data tools and technologies. Champion technical excellence within the team by setting best practices, raising the bar for engineering quality, and mentoring team members at all levels to support their growth and career development. Drive Reliability & Resilience: Establish testing and reliability standards, SLAs (uptime, RTO, RPO), and disaster recovery playbooks. Lead major reliability initiatives to minimize downtime and protect critical business data. Advance Observability & Governance: Build frameworks for monitoring, logging, lineage, and auditing to ensure visibility, compliance, and trust in data. Define governance policies that enforce data integrity, availability, and reliability across the platform. Accelerate and Empower Data Access: Develop self-service tools, frameworks, and automation that reduce manual effort, improve efficiency, and enable teams across engineering, analytics, and data science to work effectively with data while minimizing dependency on the Data Platform team. Contribute to Strategic Planning: Partner with Technical Program Managers to define and refine strategic roadmaps, ensuring that data engineering priorities align with business objectives. Drive Cross-Team Collaboration: Collaborate with Staff Engineers and technical leaders across domains to identify friction points, and work collectively to design solutions that improve system reliability, consistency, and scalability. Accelerate Business Growth: Work closely with data analysts, scientists, and product teams to enable fast, seamless exploration, analysis, modeling, and reporting. Build automation and infrastructure that reduce friction and accelerate decision-making. Safeguard Data Integrity: Own the integrity and reliability of data, ensuring stakeholders across the organization maintain trust in the insights and decisions driven by it. On-Call Rotation: Members of the Data Platform team participate in an on-call rotation, covering one week at a time. When an incident occurs outside of regular working hours, we provide time off in lieu to support healthy balance and recovery. From time to time, major maintenance work may require team members to serve as primary or secondary on-call support over a weekend. Jobber is committed to maintaining a fair, transparent, and humane on-call experience. Your interview team will be happy to walk you through how we manage on-call responsibilities in practice. To be successful, you should have: Core Data Engineering Expertise: Hands-on experience with batch and real-time data processing frameworks, lakehouse/warehouse management, large-scale data transformation, data serialization, workflow orchestration and dimensional modeling (star/snow-flake schemas) Scalable Systems Development: Proven ability to design and deliver highly scalable, maintainable, and high-performance solutions across multiple layers of the technology stack, leveraging containerization, CI/CD, and API development. AWS Cloud Proficiency: Strong understanding of AWS services relevant to the data domain, with hands-on experience leveraging them to design and implement data solutions. Technical Leadership & Engineering Excellence: Demonstrated success guiding teams through complex, high-impact projects while providing architectural direction and serving as a trusted technical lead. Exceptional proficiency in software design, system architecture, and coding, with a focus on long-term maintainability, performance, and resilience. Reliability & DevOps Practices: Strong background in infrastructure-as-code (Terraform, CloudFormation), observability (logging, monitoring, tracing), and system reliability. Collaboration & Adaptability: Exceptional communication skills, self-motivation, and resourcefulness, with the ability to navigate ambiguity, prioritize effectively, and deliver results in fast-paced environments. It would be really great (but not a deal-breaker) if you had: Machine Learning Platform Experience: Exposure to ML platforms and distributed compute frameworks (e.g., Ray, TensorFlow, PyTorch). Experience collaborating with Data Scientists to operationalize models, implement drift detection, or scale ML workloads. Cross-Domain Engineering Experience: Hands-on exposure to non–data engineering codebases, such as web application frameworks (Ruby on Rails) and modern front-end stacks (TypeScript/React). API & Integration Knowledge: Familiarity with GraphQL, API layer design, and performance optimization. Platform Building Experience: Prior work on developer tooling or shared platforms that supported multiple engineering domains. Governance & Compliance Awareness: Knowledge of data privacy, security, and compliance in cloud-based data environments. Knowledge of data privacy, security, and compliance considerations in a cloud-based data environment. Compensation: At Jobber, we also believe that compensation should be transparent, fair, and supportive of your experience and growth. This role has a minimum annual salary of $169,200 CAD, a midpoint of $199,100 CAD and a maximum salary of $228,900 CAD , designed to reflect the progression from learning the ropes to truly excelling. We design our compensation to reflect each new hire's skills, experience, and the complexity of the role, ensuring a fair and competitive salary. Our range is intentionally broad to support growth and long-term impact, with fully established hires typically starting around the midpoint. The higher end of the range is reserved for those who have demonstrated deep expertise and lasting contributions, while offers below the midpoint reflect strong potential with room to develop. This approach ensures that compensation aligns with both an individual's current capabilities and their opportunity for future growth. Base salary is just one part of a total compensation package that will include equity rewards, annual stipends for health and wellness, retirement savings matching, and an extended health package with fully paid premiums for body and mind. Your professional growth matters to us too! You'll have access to a dedicated talent development program that includes career coaching and opportunities for career development. We believe in transparency and open conversations about compensation. If you have any questions about our approach, we're happy to discuss them throughout the hiring process! What you can expect from Jobber: A total compensation package that includes an extended health benefits package with fully paid premiums for both body and mind, matching in RRSP, TFSA or FHSA, and stock options. A dedicated Talent Development team and access to coaching, learning, and leadership programs to help you grow your career, reach your goals, and unlock your full potential. A unique opportunity to build, grow, and leave your impact on a $400-billion industry that has no dominant player...yet. To work with a group of people who are humble, supportive, and give a sh*t about our customers. We believe that diverse teams perform better and that fostering an inclusive work environment is a key part of growing a successful team. We welcome people of diverse backgrounds, experiences, and perspectives. We are an equal opportunity employer, and we are committed to working with applicants requesting accommodation at any stage of the hiring process. A bit more about us: Job by job, we're transforming the way service is delivered. Your lawn care provider, home cleaning service, plumber or painter could use Jobber to better connect with their customers, save time in the office, invoice faster, and get paid! We're bringing tens of thousands of people together with technology to deliver billions of dollars a year in services to happy customers. Jobber exists to help make these small businesses successful, and when they're successful we all win!

Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. Cresta's unified AI platform combines conversational AI agents, real-time human agent augmentation, and comprehensive conversation intelligence to drive revenue and efficiency gains across every channel. The world's leading companies, including United Airlines, Cox Communications, and Marriott, use Cresta to power world-class customer experiences every day. Born from the Stanford AI Lab, Cresta has raised more than $270 million from the world's leading investors, including a16z, Greylock, and Sequoia. Cresta's leadership includes some of the leading minds in AI today. Our CEO, Ping Wu , founded and led Google's Contact Center AI and Vertex AI platforms before joining Cresta to build the future of AI-driven customer experiences. Over the next few years, AI is going to redefine how people all over the world interact with businesses every day. Come build that future at Cresta. We're seeking a sharp, business-minded Accountant to join our growing accounting team. This is a unique opportunity to shape the revenue to cash processes in a high-growth, cutting-edge AI company. You will work closely with Sales, Finance, and HR to support and scale our accounting function. Responsibilities: Execute period-end close activities, including the preparation of journal entries, reconciliations and other relevant working papers Manage vendor bills to ensure they are accounted, reviewed and paid for in accordance with relevant policies Manage Accounts Receivable and collections effort, partnering with our Sales team Manage and review expense reports for our employees Assist payroll processing for the company and overseas subsidiaries Support cross-functional teams to optimize operating activities and facilitate strong information flow Qualifications: Bachelor's degree in accounting, finance or business 1 year or less of relevant work experience in accounting or auditing Strong knowledge of Excel and other Microsoft Office applications Working knowledge of general accounting principles Ability to communicate clearly and effectively with internal and external stakeholders Ability to be an effective individual contributor by planning, executing and delivering projects in a timely manner Perks & Benefits: We offer a comprehensive and people-first benefits package to support you at work and in life: Comprehensive medical, dental, and vision coverage with plans to fit you and your family Flexible PTO to take the time you need, when you need it Paid parental leave for all new parents welcoming a new child Retirement savings plan to help you plan for the future Remote work setup budget to help you create a productive home office Monthly wellness and communication stipend to keep you connected and balanced In-office meal program and commuter benefits provided for onsite employees Compensation at Cresta: Cresta's approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table. Compensation for this position includes a Base salary + Equity. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable. Your recruiter can provide further details. In addition, total compensation includes a comprehensive benefits package for you and your family. Our use of AI in recruiting: We may use AI tools in our recruiting process, which require human review and oversight. If you have questions about our use of AI or wish to opt out, please contact recruiting@cresta.ai (if you are opting out, please use the subject 'Opt-Out' in your email). Recording & AI transcription: We do not authorize candidates to record or use AI transcription of any interview by phone, notetaker app, AI glasses, or other device. Candidates may request an exception or accommodation for review during the interview process as needed. Recruiting impersonation scams: We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta .ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.

About the Team An instrumental part of GOAT Group , the Marketing team oversees a wide range of activities, which aim to build awareness, consideration and loyalty for our brands. As a member of this team, you will work to execute thoughtful, data-driven marketing campaigns that drive meaningful growth for the company. Role Overview GOAT Group is seeking a Sr. Performance Marketing Specialist to run our paid social and video acquisition strategy. You will own and operate Meta, TikTok, and YouTube Ads. You will also develop the creative testing roadmap and leverage incrementality to measure performance. This role reports to the AVP of Growth. We expect AI fluency in practice. As targeting, bidding, and placement have moved inside the platforms' models, creative has become the main lever you control. Leveraging AI tools for strategic research and automating operations will be key to success. Much of our process is being automated through internal AI workflows, so this role will have more emphasis on workflow oversight. In this role, you will: Run day-to-day paid social and video across Meta, TikTok, and YouTube: campaign build, budget pacing, audience and placement setup, and optimization against incrementality KPIs. Plan and execute the creative testing roadmap — write briefs, launch tests, experiment readouts. Leverage AI tools (Claude, Gemini, internal workflows) for strategic research and operations. You'll partner closely with the AVP of Growth to continually develop and improve AI workflows. Build and maintain the weekly and monthly creative performance marketing reports. Partner with Brand and Creative on asset needs, turning performance reads into specific, useful creative direction. Run structured tests — holdouts, geo splits, incrementality reads — supporting the AVP of Growth, and interpret the results honestly against platform-reported numbers. Flag new formats, placements, and platform features worth testing, and make the case for trying them. How Success Is Measured Incrementality. To truly understand the performance of our efforts, we rely on incrementality methods, such as geolift. We then leverage platform metrics as multipliers based on the measurement outcomes for daily operational KPIs. Creative performance. Leverage platform metrics to build creative narratives to explain how they performed and what we should do next. Operational reliability. Campaigns should launch accurately and on time. With AI automated more operations, this person must be have final oversight before campaigns launch. We are looking for: 3+ years of hands-on performance marketing experience with Meta Ads, TikTok Ads, and/or YouTube Ads. Experience with incrementality and/or MMM to measure true lift or causal performance. Comfort working in performance data — pivot tables, dashboards, and enough rigor to catch a number that looks wrong before it reaches a deck. AI fluency in practice. You use LLMs and AI tooling in your daily workflow for briefs, copy variants, creative iteration, and reporting, and you can tell us specifically what it changed about your output and what you had to watch for. Strong written and verbal communication. You can explain a result, including a disappointing one, to people who do not live in the ad platforms. Preferred Qualifications: Experience in a marketplace, resale, ecommerce, or DTC business. Familiarity with creative automation tooling such as Motion, Pencil, Smartly, or AdCreative. SQL, or experience pulling your own data from a warehouse such as Snowflake or BigQuery. Exposure to affiliate networks, creator-commerce platforms, or TikTok Shop. Mobile app install campaign experience, including MMPs such as AppsFlyer or Branch. Interest in or knowledge of sneakers, streetwear, and resale marketplaces. GOAT Group uses geographic pay tiers based on the employee's home state to align compensation with market differences across the U.S. Hiring Range: Tier 1 (Includes states such as California, New York (including New York City), Washington, Illinois and other higher-cost markets) $88,800 - $111,000 USD Tier 2 - (Includes mid-cost markets across the U.S.) $80,000 - $100,000 USD Tier 3 - (All other U.S. locations) $75,600 - $94,400 USD The hiring range for this position is below, plus benefits (401K, paid time off, dental, medical, vision, disability, life insurance options). To determine starting pay within the hiring range, we carefully consider a variety of factors, including primary work location, role/level, a candidate's skills, experience, market demands, and internal parity. You may reach out to a recruiter for additional information. Hiring Range: $75,520—$111,000 USD GOAT Group represents the leading platforms for authentic sneakers, apparel and accessories. Operating four distinct brands–GOAT, Flight Club, Grailed and alias–GOAT Group has a global community of more than 60 million members across 170 countries. GOAT is the global platform for the greatest products from the past, present and future. Since its founding in 2015, GOAT has become one of the leading and most trusted sneaker platforms in the world, and has expanded to offer apparel and accessories from select emerging, contemporary and iconic brands. Through its unique positioning between the primary and resale markets, the company offers styles across various time periods on its digital platforms and in its retail locations, while delivering products to over 60 million members across 170 countries. Established in New York City over 15 years ago, Flight Club revolutionized sneaker retail as the original consignment store for rare shoes. Carrying the rarest exclusives and collectible sneakers, Flight Club has evolved from a one-stop sneaker destination, to a cultural hub for sneaker enthusiasts and novices alike. With three brick-and-mortar locations in New York City, Los Angeles and Miami, Flight Club remains the premier source for authentic, rare sneakers. Founded in 2013, Grailed is the leading community-driven marketplace for rare luxury, streetwear and vintage fashion. The marketplace was built for enthusiasts, by enthusiasts, and features products from brands including Supreme, Raf Simons, Gucci, Saint Laurent, Balenciaga, Prada and more. With a highly curated selection of resale pieces including inventory exclusive to the platform, Grailed makes fashion accessible. The company is backed by strategic investor Foot Locker, Inc. as well as some of the leading names in venture capital including Park West Asset Management, T. Rowe Price Associates, Inc., Franklin Templeton, Adage Capital Management, Ulysses Management, D1 Capital Partners, Accel, Andreessen Horowitz, Index Ventures, Matrix Partners, Upfront Ventures, Webb Investment Network and Y Combinator. GOAT Group will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, if applicable. By applying, you authorize GOAT Group to send you text messages regarding your job application, interview and/or onboarding process, and other job opportunities at GOAT Group. If you are a California resident, please review our California Privacy Rights Notice for Job Applicants . If you are an EU or UK resident, please review our EU / UK Candidate & Employee Privacy Notice.

About Halter At Halter, we're on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices. Imagine watching 500 cattle stand up and walk calmly towards their next break? No quad bikes, no dogs, no fences. Just a group of cattle walking at their own pace. People say it looks like magic. Our customers are revolutionizing grazing with Halter. It's changing lives and transforming an industry. People join Halter to do meaningful work. By joining us you'll be solving challenging problems within a talented team and a culture built for high performance. Our team out-think, out-work and out-care. We're committed to delivering real change in the world - this isn't easy, and in truth, we love that it's hard. We're backed to deliver on a mission that matters by Tier 1 investors including Founders Fund , Bessemer Venture Partners , BOND, DCVC , Blackbird , Promus Ventures , Rocket Lab's Peter Beck and Icehouse ventures . To find out more, visit our LinkedIn & Instagram . About the role Ever dream about being in tech but aren't quite ready to trade in your cowboy boots? Look no further than Halter! As the leading provider of virtual fencing technology, Halter is on a mission to enable 50% of the world's landmass to be more productive and sustainable. This role is paramount for our growth aspirations and will enable us to continue making an impact on ranches across the US. As a Territory Manager at Halter, you will play a critical role in driving new business growth and ensuring customer success within your designated territory. You will be responsible for executing sales strategies, building strong customer relationships, and meeting ambitious growth targets, all while acting as Halter's on-the-ground representative. This role requires a proactive and hands-on approach, with a focus on both expansion and long-term customer satisfaction. In this role, you will prioritize daily efforts that optimize performance and drive value for your customers. Working closely with cross-functional teams, including Product, Support, and Customer Onboarding, you'll share field insights to ensure Halter's technology continues to meet the needs of US farmers. Your day-to-day could include being on horseback, helping customers gather their cattle, on a side-by-side traversing their pastures, talking about how Halter could benefit their pastures, or attending industry events like CattleCon or your local Livestock Association meetups. This role covers the Black Hills region in South Dakota. Frequent travel is required as apart of this role. What your day could look like Prospecting New Business: You're driving up driveways, attending local cattle auctions, meeting with your local Livestock, Cattlemans, Stockmans associations, building your new business pipeline through outbound lead generation efforts. You're fielding inbound leads in a timely manner, prioritizing administrative tasks with your in-field activities. In-Field Sales: You don't mind getting your hands and boots dirty. Halter is best discussed over a coffee at a kitchen table, in the horse saddle, or on a side-by-side in a pasture. You're out on the ranch helping potential customers before diving into the value of Halter. You're dropping off coffee during calving season. You value the magic moments that make all the difference to our customers. Expanding Existing Opportunities: You're always looking for new opportunities, and that includes expanding your existing customers with Halter. You find value in expanding relationships and finding new ways to increase value over time. Not every rancher will collar all of their cows, so you see this as a unique opportunity to meet your goals. Hitting Sales Targets: High-growth sales targets don't scare you; you step up to a challenge and like shooting high. You're an expert pipeline manager and don't second-guess unqualifying a lead. You're able to manage today's deals while keeping next month in your sights. Customer Account Management: Building relationships is more than just making the sale to you. After the sale, you aim to maintain close relationships with your customers to ensure their ongoing satisfaction, provide support, and address any challenges they face with Halter's products. You'll also ensure a smooth handoff from sales to customer onboarding and deployment of Halter, helping customers get the most value from Halter's solutions. Territory Ownership: You have a high level of ownership and take pride in what you build. Owning an entire territory means giving treatment to every corner and leaving no stone unturned. You value being the face of your territory, meeting with high-level stakeholders from various local, state, and federal agencies to build lasting relationships with regional agricultural groups. Customer Onboarding: Your high level of ownership doesn't stop after the sale. You dive in to make sure your customers have the very best onboarding experience possible. You actively own the end-to-end customer experience during onboarding and deployment of Halter's product, ensuring a smooth transition from sales to implementation even when you've handed off the customer to different teams across Halter. Field Learnings & Feedback: Feedback is not only paramount to the companies you want to work for, but it's also ingrained in how you would own your territory. Serving as the primary point of contact for gathering customer feedback in your territory, you work tirelessly to advocate for what your customers need. Collaborating with Support Teams: You're a natural collaborator, seeking out partners across Halter to resolve any issues your customers encounter, and quickly. You escalate problems as needed and ensure that customers in your territory feel fully supported. Attending Industry Events: You leverage opportunities at relevant industry and Halter events to generate leads and deepen relationships with existing customers. You'll participate in demonstrations and network to expand Halter's influence in the market. Contributing to the US Sales Strategy: You strongly believe that a team can only be stronger when they work together. You strive to work with the broader team to optimize and evolve the sales process, ensuring it fits the US market. As we scale, your input will help drive greater efficiencies. You'll be great if you exhibit Driven Attitude & Communication skills: Results-driven, motivated, and adaptable, you excel in high-stakes environments. You're well-prepared and skilled at communicating with customers and internal teams alike. You are proactive and do not wait to act. Ranching / Cattle Experience: You know the ropes (and the reins) of ranching or cattle operations, understanding the unique challenges of the industry. This experience allows you to connect meaningfully with customers about what matters most. Sales & Customer Success Expertise: You have a strong history of creating new business opportunities, negotiating a value-based sales conversation, and have a background in building lasting customer relationships. You build relationships versus transactional sales, aiming for the long-term success stories and can expand existing relationships through upsell opportunities. Territory Management experience: Experience managing a large territory with a balanced focus on sales and customer success, ideally within agriculture or technology. Problem Solving & Collaboration ability: Resourceful and quick-thinking, you work well with cross-functional teams to address challenges and drive solutions. Willingness to Travel: Frequent travel within your territory to engage with customers and prospects. Bonus things you could bring along to the role Familiarity with precision agriculture or virtual fencing technologies. Background in customer-facing roles within agriculture technology. Background in selling software (SaaS) solutions in a B2B environment. Our Benefits Our personal growth is important. Halter offers an annual USD$750 self-development budget to be used for anything that fuels personal growth. Health Benefits - We offer best-in-class insurance for our employees, so they can care for themselves and their families. 16 weeks of paid parental leave for primary and 8 weeks for secondary caregivers plus many other parental benefits that support you and your family. Our time to recharge is valued, we're offered wellness leave and unlimited paid annual leave. We're proud to offer 401k and make an employer match. We offer a 100% match on the first 3% you contribute, and a 50% match on the next 2%. Importantly, we offer an inclusive and attractive remuneration package made up of salary, benefits and an employee stock ownership plan. Join our team Halter is committed to promoting a diverse and inclusive workplace — a place where we can each be ourselves and do the best work of our lives. Research shows that while men apply to jobs when they meet an average of 60% of the requirements, women and under-represented groups of candidates tend to only apply when they meet every requirement. If you think you have what it takes but don't necessarily tick every requirement on this job description, please still get in touch and apply to Halter. We'd love to chat to see if you'll be an epic fit! If this opportunity sounds like you, please apply below by sending through your cover letter explaining why you're excited about this role and working at Halter, along with your CV, and we'll be in touch! Please also feel free to check out the careers page for more information on working at Halter and don't forget to follow us on LinkedIn & Instagram . Why our team loves working at Halter: Work that genuinely matters. Every now and again a company comes along that transforms an entire industry and leaves the world in a better place. Our team gets to be part of something truly meaningful, helping farmers improve their livelihoods, spend more time with their families, and build more sustainable operations. Spectacular people solving hard problems. Our culture is designed for talented people to do work that changes lives. The team is filled with diverse, kind, and driven people who push each other to do their best work. You'll be thrown into the deep end, tackling complex challenges and building something tangible that solves real problems. You'll grow here. Autonomy, mastery, and learning define how we work. You'll have the freedom to work on interesting problems, master new skills, and continuously develop yourself, both through your role and our $1,000 personal growth fund. This isn't easy, and we love that it's hard. Working at Halter will be the most rewarding and the most challenging work of your life. We move fast, take bold bets, and work hard to reshape an entire industry. As one team member put it: "Joining Halter is a bit like strapping yourself to a rocket ship, but it's an epic journey to be a part of!"

1Password is growing. We've surpassed $400M in ARR and we're continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we're building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world's most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. We are hiring a Principal Engineer to help define the technical direction for core product experiences at 1Password. This is a senior individual contributor role for an engineer who can translate ambitious product strategy into systems that scale technically and operationally. You will drive architecture, engineering standards, and technical direction across the product ecosystem, working across client applications, distributed services, data platforms, and shared infrastructure to build experiences that are secure, reliable, performant, and maintainable.This is not a role scoped to a single team or subsystem. The expectation is organization-level technical leadership: shaping how Product Engineering approaches complex cross-cutting problems, guiding long-term architectural investments, and establishing the technical patterns and operational standards other teams build against. You will operate across the full lifecycle of product engineering work, from architecture and system design through production operations and long-term evolution. Success in this role requires balancing product velocity with engineering durability, making pragmatic technical tradeoffs, and driving alignment across teams with different priorities and constraints. You will help evolve the next generation of 1Password's product architecture, including the responsible integration of AI capabilities into core product experiences. Security and privacy by default, cross-platform consistency, operational resilience, and enterprise-scale reliability are foundational requirements that must be reflected in every architectural decision. If you want to build systems used daily by millions of individuals and hundreds of thousands of businesses, and solve engineering problems where distributed systems, reliability, usability, security, and intelligent automation all matter simultaneously, this is that role. How we're using AI today Our Engineering, Product, and Design teams are thoughtfully integrating AI across the full software and product development lifecycle to move faster without sacrificing quality or security. In practice, that looks like engineers using AI-assisted coding tools to accelerate reviews and catch bugs earlier, product managers synthesizing user research at scale, and designers rapidly prototyping and iterating with AI-generated mockups. We approach AI the same way we approach security: with clear principles, human accountability at every consequential decision point, and rigorous evaluation before anything ships to customers. This is a remote opportunity within Canada and the US. What we're looking for: You have designed and operated large-scale distributed systems where reliability, scalability, maintainability, and operational excellence matter. You have deep experience driving architecture and technical direction across multiple teams, organizations, or product domains. You have strong systems-thinking instincts and can reason effectively about platform boundaries, distributed systems constraints, developer ergonomics, and long-term technical sustainability. You have experience building customer-facing product systems across clients, APIs, distributed services, cloud infrastructure, and data platforms. You have experience building or scaling event-driven systems, microservices architectures, or shared platform infrastructure in production environments. You have practical experience integrating AI or ML capabilities into production applications and understand the engineering tradeoffs involved in introducing AI into trust-sensitive product experiences. You have strong instincts for privacy-preserving and security-conscious system design, including thoughtful handling of telemetry, user data, permissions, and auditability. You are effective at driving alignment across teams with different incentives, priorities, and technical perspectives. You communicate clearly with engineers, executives, and cross-functional partners, and can explain complex technical tradeoffs in practical terms. You are comfortable operating in ambiguity and helping organizations make durable technical decisions before every variable is known. Bonus points for: Experience in identity, authentication, authorization, secrets management, enterprise security, or trust-oriented product domains. Experience building large-scale event-driven or multi-region distributed systems in cloud environments. Experience building cross-platform applications or shared platform architectures at scale. Experience with developer platforms, internal engineering frameworks, CI/CD systems, or large-scale infrastructure modernization initiatives. Experience integrating LLMs or AI-assisted workflows into customer-facing SaaS applications. Experience with endpoint trust, browser or extension security, enterprise administration workflows, or device posture systems. Experience mentoring engineers and raising the engineering bar across organizations through technical leadership and operational excellence. What you can expect: Define architecture and technical direction for core product capabilities spanning clients, distributed services, data platforms, and shared infrastructure. Establish engineering standards and reusable architectural patterns for scalable, maintainable, and resilient product systems across Product Engineering. Drive long-term technical strategy across critical product areas, balancing immediate delivery needs with scalability, operational excellence, and platform sustainability. Partner closely with Product, Design, Security, Privacy, Infrastructure, and Data teams to ensure technical decisions support both customer outcomes and long-term operational durability. Guide how AI-powered capabilities are integrated into customer-facing product experiences, ensuring systems are reliable, observable, operationally safe, and aligned with customer trust expectations. Define engineering expectations for AI-enabled product systems, including evaluation frameworks, rollout safety, telemetry, fallback behavior, auditability, and operational controls. Establish shared platform capabilities and infrastructure patterns that allow teams to build product features consistently across clients, services, APIs, and AI-assisted workflows. Influence and drive key architectural decisions around distributed systems design, event-driven architectures, synchronization models, scalability, performance, reliability, extensibility, and platform interoperability. Help teams navigate difficult technical tradeoffs, unblock large cross-functional initiatives, and reduce systemic engineering complexity across the organization. Raise the operational bar for production systems through stronger reliability practices, observability standards, incident readiness, performance analysis, and engineering discipline. Mentor and influence engineers across the organization through technical leadership, architecture reviews, design guidance, and hands-on problem solving. What success looks like: Success in this role means Product Engineering can scale product development without sacrificing reliability, maintainability, security, or customer trust. That includes: Durable architectural patterns that enable teams to move faster with less duplication and lower operational overhead. Product systems that scale reliably across platforms, enterprise environments, and growing customer complexity. Engineering teams making more consistent technical decisions with clearer standards and stronger shared foundations. AI-powered product experiences that are useful, measurable, trustworthy, and operationally safe. Reduced systemic friction across development, delivery, observability, and cross-team coordination. Stronger operational resilience, including improved reliability, debuggability, rollout safety, and incident response readiness. Technical investments that improve long-term engineering velocity instead of creating organizational drag or platform fragmentation. USA-based roles only: The annual base salary for this role is between $246,000 USD and $369,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $228,000 CAD and $342,000 CAD, plus immediate participation in 1Password's generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You'll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone . Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We're looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing Maternity and parental leave top-up programs Competitive health benefits Generous PTO policy Growth and future RSU program for most employees Retirement matching program Free 1Password account Community Paid volunteer days Peer-to-peer recognition through Bonusly Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we'll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form . For additional information see our Candidate Privacy Notice .