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Why Join Sales at Ashby Sales at Ashby is a unique opportunity to sell a product customers genuinely love during an AI-fueled market expansion. Over 5,000 companies rely on Ashby including Shopify, Snowflake, OpenAI, Bolt, and Notion, and our business is durably growing faster than 100% year-over-year. We're well funded , and on a path to profitability. That's exceptionally rare for a company at our scale, and puts us in the top 10% of benchmarks. We have, in just a few years, replaced incumbents Greenhouse and Lever more than 500 times each, clear evidence of strong product-market fit and a meaningful opportunity to help modern teams move beyond legacy recruiting software. Ashby replaces 3-5 tools in a consolidation & efficiency play that's equally loved by recruiters and CFOs. We're known as a clear AI-leader in the recruiting space. And the market opportunity is growing. We are rapidly extending from a best-in-class recruiting product toward a multi-product platform, expanding upmarket, into new industries, and internationally. For sales reps, that means a large market full of legacy tools, and a product portfolio that creates room for both new business and expansion. This is a chance to participate in how a category-defining company wins in its next phase of growth. We are equally intentional about how we build the business. We have established a remote-first, high-performing sales organization that rewards learning and accountability. We use data to set achievable quotas , and reward sustained impact with competitive compensation and meaningful upside. We prioritize coaching and career development, with AEs advancing to Enterprise & Leadership roles in just a few years — 38% of the team who have been here more than a year have been promoted or taken on a new role! You will work with people who care about craft, customer outcomes, and winning together—without sacrificing the trust, autonomy, and balance required to do your best work over the long term. Don't just take my word for it, see what the team has to say about working here. About this Role You will help us win Enterprise accounts in Pacific and Mountain time zones by managing the full sales cycle from pipeline generation through to won. You can expect to own a curated list of excellent fit, high propensity accounts as well as a geographic territory with significant market opportunity. In this role, you'll primarily focus on new logo acquisition via a healthy mix of inbound and outbound, while also covering a small number of customer accounts for expansion and upsell. Our emphasis is on your ability to excel in the areas listed below and your appetite for continuous growth & improvement. Role Requirements: You have a multi-year track record of exceeding $1M+ quotas, selling complex SaaS technologies to large organizations You have closed many $100K+ ARR sales which require consensus building and executive engagement. You have a demonstrated ability to win highly competitive opportunities by identifying pain and business impacts and connecting those to strategic initiatives of the leadership team You are a hunter at heart and are comfortable self-sourcing a majority of your own pipeline You have a growth mindset and are excited to tackle the challenges of a high growth startup You could be a great fit if: You demonstrate mastery of clear communication. You ask questions with precision and can explain complex concepts in simple terms. You eschew business jargon. ️ You skillfully guide prospects through their entire buying process—engaging the right stakeholders at the right time to create consensus for a strategic technology decision. You become both a product and industry expert. You create 'Ah ha!' moments in collaboration with your Solutions Engineer to build momentum & solve customer-specific challenges. Your peers describe you as detail oriented. You send timely & crisp follow-up emails. You take pride in internal operations, like real-time CRM updates. You have strong business acumen. You help customers connect the dots between technical problems and their business impact. You craft compelling cases for change. You're excited to land the biggest deals we've ever done. You are diligent and gritty and have demonstrated perseverance to win long, competitive sales cycles. ⚙️ You're a creative problem solver and comfortable with some healthy ambiguity. You'll help us refine our Enterprise go-to-market motion to maximize the segment's results over time. ✈️ You're willing to travel for company events, customer meet ups and on-sites. You may not be a great fit if: You dislike prospecting. Enterprise reps at Ashby are responsible for sourcing half or more of their pipeline to complement our robust inbound lead flow. You prefer to leave demos "to the experts." While you can expect Solutions Engineering support, our most successful AEs are those with strong curiosity and deep product acumen. You're more of a relationship builder who focuses on selling into the install base. This is primarily a new business oriented role. You're a lone wolf. You prefer to go it alone in your pursuit of new business. We believe in a team-selling sales model. Bonus: Familiarity with Talent Acquisition and HR tools and workflows A network that includes Heads of Talent whom you can tap into Interview Process Our interview process is thorough — we assess if you are the right fit for Ashby and we will provide ample information for you to determine if Ashby is the right place for you. The process for this role is as follows: Intro Call (30 min) - You'll meet with a Recruiter to discuss your fit for the role and address questions about our market and solution. Written Exercise - You'll complete a short take home assignment to showcase your outbound muscle. Experience Deep Dive (60 min) - You'll walk the Hiring Manager through your career journey in some detail to highlight your experience, achievements, and points of learning to understand how you've developed into the professional you are today. Challenge Interview (90 min) - This will be made up of two parts: Discovery and Demo Role Play (60 min) Deal Strategy Discussion (30 min) Benefits Unlimited PTO with four weeks recommended per year Generous equipment, software, and office furniture budget. Get what you need to be happy and productive! 10-year exercise window for stock options . You shouldn't feel pressure to purchase stock options if you leave Ashby —do it when you feel financially comfortable. $100/month education budget with more expensive items (like conferences) covered with manager approval. If you're in the US, top-notch health insurance for you and your dependents with 100% of all premiums covered by us, Flexible Spending Accounts and 401K match. We also offer up to 12 weeks of fully paid family/parental leave for all caregivers. We're in the talent acquisition software business. We run the end-to-end hiring process through our own platform, and ensure a level playing field for all candidates. Reaching out to hiring managers or recruiters directly won't improve your odds of success. Please focus your energy on the quality of your application. Ashby provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities. Ashby is committed to a fair and transparent hiring process. We confirm that this advertisement is for an active, existing vacancy within our organization. Please be advised that we may use artificial intelligence-driven tools to assist our recruitment team in screening, assessing, and selecting candidates for this position.

Thumbtack helps millions of people confidently care for their homes. Thumbtack is the one app you need to take care of and improve your home — from personalized guidance to AI tools and a best-in-class hiring experience. Every day in every county of the U.S., people turn to Thumbtack to complete urgent repairs, seasonal maintenance and bigger improvements. We help homeowners know which projects to do, when to do them and who to hire from our growing community of 300,000 local service businesses. If making an impact inspires you, join us. Imagine what we'll build together. About the Applied Science Team We're looking for applied scientists with deep expertise in machine learning, optimization, building data products, and/or statistical models. As part of a small product team you will have full ownership over your domain, so you should be a person who dreams big, then executes well. At Thumbtack, the Applied Science team is responsible for a wide variety of problems spanning AI, machine learning, statistics, and computer science: Improve customer and service provider matching. Matching and optimization algorithms are fundamental to Thumbtack's product: we now service millions of matches per week. Identifying better matches between customers and service providers has an incredible impact on the experience of customers and professionals transacting on our platform. Model complex relationships in the presence of many confounding factors. Predictive modeling problems are everywhere across our product. Our team works to scope, design and implement machine learning models to support Thumbtack's product and marketing. Characterize marketplace dynamics. Thumbtack's marketplaces consist of thousands of active markets across our service categories and U.S. cities. Via exploratory data analysis and experimental design, our team works to understand trends and behaviors within these markets. Build AI features. Use state-of-the-art approaches such as large language models (LLMs), reinforcement learning and agentic workflows to enhance customer / pro experience, increase acquisition and marketplace efficiency, and to automate and enhance internal processes. Build a healthy marketplace. We evolve and manage the monetization mechanics of our marketplace, including defining the parameters that affect the prices we charge. The challenge Thumbtack constantly works to balance supply and demand across thousands of local markets and hundreds of service categories. The Pro Growth pod is responsible for the science behind acquiring and activating the right pros, at the right time, in the right markets, to keep the marketplace healthy and growing. As an Applied Scientist on Pro Growth, you'll build models and experiments that shape who joins Thumbtack, how they get activated, how we forecast supply needs by market and trade, and how we accelerate time-to-value for new pros. We leverage machine learning, causal inference, and optimization to strategically grow and shape our pro supply base. Our work directly contributes to meeting demand projections, unlocking strategic partnerships, and ultimately enhancing customer experience and platform growth by ensuring a robust and high-quality supply of pros. You'll work shoulder-to-shoulder with engineers, product managers, and other applied scientists on a portfolio that ranges from incrementality and market forecasting to LLM-powered onboarding agents. You'll own end-to-end: from problem framing, through experiment design, through deploying models to production, through measuring business impact. What you'll do Initiate and drive applied science projects to completion, with a focus on the business impact of those projects on pro acquisition, activation, retention, and supply health. Develop, deploy, and optimize machine learning models for supply-side problems, including: lead scoring and pro acquisition targeting, market-level supply forecasting, pro onboarding and activation, retention and churn prediction, and agentic onboarding workflows. Design and execute well-powered marketplace experiments to measure model and product impact on supply and business metrics. Analyze structured and unstructured data such as marketplace interactions, pro profiles, external supply signals, to identify trends, opportunities, and risks related to supply health. Collaborate closely with engineering, product management, business development, and marketing teams to define problems, develop end-to-end solutions, and ensure successful implementation and monitoring of ML systems in production. Maintain the right balance between speed of execution and scientific rigor when designing solutions for a fast-paced marketplace environment. Contribute to evolving the team's agentic-first ways of working, including LLM-powered tooling, eval coverage, and the use of AI agents in day-to-day applied science. In order to be successful, you must bring Master's degree in a quantitative field (Computer Science, Machine Learning, Statistics, Operations Research, Economics, or related), or equivalent industry experience. 3+ years of industry experience as an applied scientist, data scientist, or ML engineer with ownership of production ML models. Experience in applied science within a marketplace, supply chain, or growth domain. Solid knowledge of machine learning techniques such as classification, regression, embedding-based approaches, and causal inference. Familiarity with modern LLMs (OpenAI, Anthropic Claude, Gemini, AWS Bedrock) and experience with agentic AI development practices and tools. Good knowledge of probability, statistics, and econometric methods, including experimental design, causal inference, and optimization. Experience with large-scale distributed systems (Spark, Databricks, or similar). Ability to effectively read, write, and debug code in programming languages such as Python and SQL. Ability to break down complex problems rigorously and understand the tradeoffs necessary to deliver impactful projects. Ability to communicate clearly and effectively to cross-functional partners of various technical levels. Demonstrated ability to drive seamless execution end-to-end on at least one production ML project. Expected salary ranges For candidates living in Ontario and British Columbia, the expected salary range for the role is currently $161,500 - $209,000 Actual offered salaries will vary and will be based on various factors, such as calibrated job level, qualifications, skills, competencies, and proficiency for the role. Note: Thumbtack uses AI tools to support our resume screening process. However, our Recruiting team's expertise and judgment guide hiring decisions. Actual offered salaries will vary and will be based on various factors, such as calibrated job level, qualifications, skills, competencies, and proficiency for the role. Thumbtack embraces diversity. We are proud to be an equal opportunity workplace and do not discriminate on the basis of sex, race, color, age, pregnancy, sexual orientation, gender identity or expression, religion, national origin, ancestry, citizenship, marital status, military or veteran status, genetic information, disability status, or any other characteristic protected by federal, provincial, state, or local law. We also will consider for employment qualified applicants with arrest and conviction records, consistent with applicable law. Thumbtack is committed to working with and providing reasonable accommodation to individuals with disabilities. If you would like to request a reasonable accommodation for a medical condition or disability during any part of the application process, please contact: recruitingops@thumbtack.com . For information about how Thumbtack collects, uses, and shares personal information about job applicants, please see our Job Applicant Privacy Policy . We put as much craftsmanship into candidate safety as we do into the hiring experience itself. While scammers may try to impersonate our team, we'll never ask you for money, banking info, or SSNs during hiring. Check out our blueprint on how to spot the fakes.

Senior Integration Engineer Remote, Mexico JOB OVERVIEW Are you passionate about building large-scale applications leveraging public cloud services and integration design patterns? As an Integration Engineer, you will work on developing and maintaining Integration & Automation Solutions for Legion WFM customers. RESPONSIBILITIES AND DUTIES Integration Engineers provide leadership, facilitate analysis and design tasks, and support multiple Legion teams in developing an enterprise's solution architecture. Job responsibilities are grouped across four key areas: Technical Integrations, Customer-Centric Consulting, Legion Product Expertise, and a Commitment to One Another. Please note this role involves participation in on-call rotation. Technical Integrations Design and implement scalable integration architectures connecting Legion with HR, POS, Payroll, and other enterprise systems. Design, Build, and Test integrations using Workato Develop secure and efficient REST APIs within Legion's API-driven ecosystem. Ensure high-performance, reliable integrations using modern cloud platforms. Engage with architects and engineers for design collaboration and code reviews. Improve development practices and stay ahead of agile software engineering trends. Legion Product Expertise Gain and maintain deep knowledge of Legion's product and integration ecosystem. Identify, report, and prioritize product bugs and enhancements. Work with core engineering and production engineering teams to improve backend reliability and troubleshoot production issues Stay updated on new releases and enhancements to drive product adoption. Write secure, enterprise-grade integration code using leading platforms and technologies. Write well-designed, testable, efficient code Contribute to all phases of the development lifecycle Conduct peer code reviews to ensure code quality and maintainability. Team Collaboration & Mentorship Share expertise and mentor junior engineers, fostering a culture of knowledge-sharing. Contribute to best practices for integration and internal technical documentation. Support process improvements and advocate for scalable, sustainable integrations. Commit to high-quality work, setting personal and team objectives aligned with organizational goals. Standard shift working hours: 0900-1800 This role involves participation in on-call rotation. This role may require work outside of normal business hours. REQUIRED SKILLS AND QUALIFICATIONS 7+ years of business/information/solution/technical architecture experience Graduate of a university with a Bachelor's or Master's degree in a relevant STEM field, including Information Systems, Engineering, Computer Science, or another relevant degree Must be able to work as a team player, yet can work independently. Analytical, results-driven, and have a solution-oriented approach Possess exceptional interpersonal and English communication skills, including verbal, written presentation, and listening. 3+ years of experience with event-driven Architecture and Microservices Demonstrated deep technical expertise in Integration technologies and protocols such as HTTP, HTTPS, FTP, SFTP, SOAP, REST, JMS, JDBC Experience using Linux/Unix environments Demonstrate proficiency with Core Java. Experience with Relational Databases, SQL and JDBC (one of Oracle, PostgreSQL, SQL Server, etc.) 2+ years of experience using AWS technologies such as AWS CDK, Cloud formation, S3, ECS, EKS, and EC2 Demonstrate experience with test-driven development. Strong experience with Java/RESTful web services Exposure to agile software development leveraging toolsets (e.g., Jira, GitHub, Jenkins) Demonstrate knowledge and experience with CI/CD processes and tools. Proven track record of using problem-solving / root-cause analysis PREFERRED QUALIFICATIONS AND ATTRIBUTES The ideal candidate has workforce management integration experience Preferred experience in the design and implementation of scalable integration solutions with integration platforms such as Workato, SAP BTP Integration Suite, Dell Boomi, Jitterbit, SnapLogic Proactive and able to command respect through intelligence, hard work, and persistence Technical consulting experience. Experience of working with Docker and other isolation technologies. Experience working with external applications integrations end-to-end such as Workday, SAP, etc. COMPENSATION & BENEFITS At Legion, we offer competitive compensation and benefits packages to all employees. As a fully remote employer, pay for positions is determined using local, national, and industry-specific survey data. We strive to make competitive offers allowing employees room for future growth. Salaries will be based on the applicant's location, level of experience, education, and specialized knowledge and skills. Additionally, we consider the external market rate, the amount we have budgeted internally, and internal equity within the company for the same position. Benefits include, but are not limited to: Health Benefits Paid Time Off and Paid Holidays Parental Leave Equity Monthly Wellness Reimbursement Monthly Lunch on Legion ABOUT LEGION Join Legion's mission to turn hourly jobs into good jobs. We're a remote, mission-driven team seeking exceptional talent to propel this vision. Embrace a culture that's collaborative, fast-paced, and entrepreneurial. With us, you'll grow your skills, work closely with experienced executives, and contribute significantly to our mission. Legion Technologies delivers the industry's most innovative workforce management platform. It enables businesses to maximize labor efficiency and employee engagement simultaneously. The award-winning, AI-driven Legion WFM platform is intelligent, automated, and employee-centric. It's proven to deliver 13x ROI through schedule optimization, reduced attrition, increased productivity, and increased operational efficiency. Legion delivers cutting-edge technology in an easy-to-use platform and mobile app that employees love. If you're ready to make an impact and grow your career, Legion is where you belong. Join us in making hourly work rewarding and fulfilling. BACKGROUND AND OPPORTUNITY There are almost 75 million hourly workers in the United States, representing more than half of the entire workforce. Historically, managing hourly employees has been difficult due to high attrition (average of 60%) and high replacement costs (average of $3,200 per employee in retail). The ongoing labor shortage and competition from the gig economy make it more difficult to attract and retain hourly employees. The top reasons hourly employees leave their jobs are a lack of schedule empowerment, poor communication with employers, and an inability to get paid early. Gen Z and the millennial workforce demand gig-like flexibility, modern technology, and compelling work options. Legion's mission is to turn hourly jobs into good jobs, serving the hourly workers who make up the majority of the US workforce. We believe in empowering employees and helping employers be efficient and innovative by enabling intelligent automation powered by Legion's Workforce Management platform to optimize labor efficiency and enhance the employee experience simultaneously. Legion WFM was built for the cloud with AI at the core and designed to handle the complexity of modern businesses and meet the needs of today's hourly employees. Our team is comprised of dedicated individuals from all backgrounds and experiences, globally distributed across all time zones. For more information, visit https://legion.co EQUAL EMPLOYMENT OPPORTUNITY Legion Technologies is proud to be an equal-opportunity employer and is committed to maintaining a diverse and inclusive work environment. All qualified applicants will be considered for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, genetic information, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws. DISABILITY ACCOMMODATION For individuals with disabilities who need additional assistance at any point in the application and interview process, please email recruiting@legion.co 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 Legion recruiting email communications will always come from the @ legion.co domain. Any outreach claiming to be from Legion via other sources should be ignored. If you are uncertain whether you have been contacted by an official Legion employee, reach out to recruiting@legion.co Legion is an equal opportunity employer. All applicants will be considered for employment without attention to race, religion, color, sex, sexual orientation, gender identity, age, national origin, veteran, disability status, or any other basis covered by appropriate law. How We Determine What We Pay As a global employer, Legion determines pay for positions using local, national, and industry-specific survey data. We evaluate external equity and the cost of labor/prevailing wage index in the relative marketplace for jobs directly comparable to jobs within our company. Our posted salary range is based on national data and may be refined for a candidate's region/town/cost of living. For new hires, we strive to make competitive offers allowing the new employee room for future growth. Salaries will be based on the applicant's location, level of experience, education, and specialized knowledge and skills. Additionally, we consider the external market rate, the amount we have budgeted internally, and internal equity within the company for the same position. An employee/candidate with a stronger skill set will receive higher pay. Job Applicant Privacy Policy This Job Applicant Privacy Policy (" Policy ") describes how Legion Technologies, Inc. (" Legion ", " we ", " us " and " our ") collects, uses, and discloses "personal information" as defined under California law from and about job applicants who are residents of California. This Policy does not apply to our handling of data gathered about you in your role as a user of our consumer-facing services. When you interact with us as in that role, the Legion Privacy Policy applies. Types of Personal Information We Handle We collect, store, and use various types of personal information through the application and recruitment process. We collect such information either directly from you or (where applicable) from another person or entity, such as an employment agency or consultancy, background check provider, or other referral sources. This information includes: Identification and contact information, and related identifiers such as full name, date and place of birth, citizenship and permanent residence, home and business addresses, telephone numbers, email addresses, and such information about your beneficiaries or emergency contacts. Professional or employment-related information, including: Recruitment, employment, or engagement information such as application forms and information included in a resume, cover letter, or otherwise provided through any application or engagement process; and copies of identification documents, such as driver's licenses, passports, and visas; and background screening results and references. Career information such as job titles; work history; work dates and work locations; information about skills, qualifications, experience, publications, speaking engagements, and preferences; and professional memberships Education Information such as institutions attended, degrees, certifications, training courses, publications, and transcript information. Legally protected classification information such as race, sex/gender, religious/ philosophical beliefs, gender identity/expression, sexual orientation, marital status, military service, nationality, ethnicity, request for family care leave, political opinions, and criminal history. Other information such as any information you voluntarily choose to provide in connection with your job application. How We Use Personal Information We collect, use, share, and store personal information from job applicants for our and our service providers' business and operational purposes in the recruitment process such as: processing your application, tracking your application through the recruitment process, contacting references with your authorization, conducting background checks you authorize, and making hiring decisions. We will also use job applicant information for internal analysis purposes to understand the applicants who apply and to improve our recruitment process. We may sometimes need to use applicant information for legal purposes, such as in connection with any challenges made to our hiring decisions. With Whom We Share Personal Information We will disclose job applicant personal information to the following types of entities or in the following circumstances (where applicable): Internally : to other Legion personnel involved in the recruiting and hiring process. Vendors : such as technology service providers, travel management providers, human resources suppliers, background check companies, and employment agencies or recruiters, where applicable. Legal Compliance : when required to do so by law, regulation, or court order or in response to a request for assistance by the police or other law enforcement agency. L itigation Purposes : to seek legal advice from our external lawyers or in connection with litigation with a third party. Business Transaction Purposes : in connection with the sale, purchase, or merger. How to Contact Us About this Policy – If you have any questions about this Policy, please contact privacy@legion.co .

Flex is building the AI-native private bank for business owners . We're re-architecting the entire financial system for entrepreneurs—from the first dollar a business earns to how that value compounds, moves, and is ultimately spent in real life. Banking, credit, payments, personal finance, and financial operations—rebuilt from the ground up as a single, intelligent system. Flex is the full financial home for ambitious owners. Since launching publicly in September 2023 , Flex has scaled from zero to nine-figure annualized revenue , with a clear path to profitability by late 2026 . We move fast, ship relentlessly, and operate with extreme ownership. Our customers are affluent business owners ($3–$200M in revenue) —the backbone of the economy and one of the most underserved segments in finance. They're stuck with outdated banks and fragmented tools. We're replacing all of it. The opportunity is massive: a ~$1T+ revenue market hiding in plain sight. Our ambition is to build a $100B+ company by delivering a product that is fundamentally better—not incrementally improved. Flex has raised $100M+ in equity and $300M+ in debt. - Mission-critical problems : We build software that directly controls how money moves at scale. - High bar, low ego : Small teams, exceptional people, real ownership. - Speed over comfort : We prioritize execution, quality, clarity, and results. - Enduring impact : What we're building will define how a generation of owners runs their businesses. Team & Locations We hire exceptional people who want to build hard things and see their work matter immediately. Roles are available in: San Francisco, Miami, New York, and fully remote. Flex Fuels Ambition. About the Role This is a new program and the chance to be part of the founding team of the Office of the CEO. We're creating a small team of high-caliber operators working directly for our Founder & CEO on whatever the company's highest-priorities are. It is not a rotational program or a fixed analyst lane — scope is set by what the company needs solved, not by a job description. You will be the one to help identify what these opportunities are. What You'll Do Take on the CEO's highest-priority problems directly — strategic projects, market research and competitive work, financial analysis, and cross-functional execution, often with no existing playbook Identify problems, develop solutions, and execute them; often working on multiple initiatives Build and own the models and analyses that inform major company decisions Collaborate with and move fluidly across various departments as business priorities shift As the early stages of this team grows, you will help recruit, ramp, and manage the associates who join after you Requirements 3–5 years in top-tier investment banking (TMT/fintech coverage), private equity, management consulting, late-stage venture capital, or a fast-growing startup A track record of outperformance — clear signals you were trusted with more scope, faster, than your peers Strong quantitative and analytical skills: advanced Excel, working knowledge of SQL, and comfort dissecting messy data and building models from scratch Extreme rigor and comfort operating in ambiguity at speed — priorities here change faster than the plan does Demonstrated ability to sustain a high-intensity pace: this role will regularly require ~12-hour days, 5–6 days a week, especially in year one This role is based in Miami or NYC but will involve travel Nice to Haves Ideal background in math, physics, or another highly quantitative field Understanding of fintech, banking, or financial infrastructure Compensation The starting base salary for this role is $200k+ equity. This is a full-time role with benefits. Final compensation is commensurate with candidate experience, work location, and interview performance. Additional Information Why Join Us Build something generational — Capture the full lifecycle of money for ambitious business owners. Work on real money, real risk — Payments, credit, and banking at serious scale. Solve hard problems — AI, underwriting, compliance, and global finance from first principles. True ownership — Small teams, high trust, real accountability. Founder-level exposure — Direct access to leadership, customers, and investors. High bar, high taste — Move fast without cutting corners. Elite peers — People here are builders, not tourists. Real upside — Meaningful equity if you help build something big.

What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That's why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 5M endpoints and 16M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Reports to: Manager, Security Operations Center Location: Remote Ireland Compensation Range: €70,000 to €90,000 base plus bonus and equity What You'll Do: Huntress is looking for a Security Operations Center Analyst to add to our growing team. In this role, you will get to triage, investigate, respond, and remediate a variety of intrusions on a daily basis. You'll be surrounded by passionate individuals who are mission-driven to help protect companies around the world from cyber-attacks and will have daily opportunities to progress your analyst skillset and accelerate your career growth. The Huntress Security Operations Center is an elite team of individuals who wake up every day to combat threat actors. You will have daily opportunities to progress your analysis skills while being at the forefront of what's happening in the wild. If you're looking to accelerate your career and skills, this is the team for you! Responsibilities: Triage, investigate, and respond to alerts from the Huntress platform Perform tactical review of EDR telemetry, log sources, and forensic artifacts to determine the root cause of attacks where possible and provide remediations needed to remove the threat Perform tactical malware analysis as part of investigating and triaging alerts Investigate suspicious Microsoft M365 activity and provide remediations Assist in escalations from the Product Support team for threat-related and SOC-relevant questions Contribute to detection engineering creation and tuning efforts Contribute to projects focused on driving better outcomes for our analysts and partners Contribute to our collaboratively mentored team (we're all here to make each other better!) What You Bring To The Team: 2+ years experience in a SOC or Digital Forensics (DFIR) role Demonstrated experience with Windows, Linux, and MacOS as an attack surface Demonstrated experience with basic Threat Actor tools and techniques: (MITRE ATT&CK Framework, PowerShell & Command Prompt Terminals, WMIC, Scheduled Tasks, SCM, Windows Domain and host Enumeration Techniques, Basic Lateral Movement Techniques, Basic Persistence Mechanisms, Basic Defense Evasion Techniques, other offensive/Red Team TTPs) Demonstrated experience with static and dynamic malware analysis concepts Working knowledge of Windows Administration or Enterprise Domain Administration Active Directory, Group Policy, Domain Trusts, etc. Working knowledge of core networking concepts Common ports/protocols, NAT, Public/Private IPs, VLANs, etc. Working knowledge of web technologies and concepts Web servers/applications, OWASP top 10, etc. Effective communication skills, with the ability to explain complex events to less technical audiences, enabling effective cross-functional collaboration within the SOC and across departments Dedicated to prioritizing and addressing customer needs and concerns in all decision-making processes A strong sense of curiosity and a genuine excitement for learning Preferred Qualifications: Previous experience in an MSP/MSSP/MDR role Linux and MacOS investigative experience Experience with scripting languages (such as PowerShell, Python, Bash, PHP, JavaScript, or Ruby) Demonstrated experience on platforms such as HackTheBox, TryHackMe, Blue Team Labs Online, etc. Demonstrated experience with Cloud-based investigations such as M365, Azure, AWS, GCP, etc. Participation in cybersecurity competitions such as Capture the Flags, the Collegiate Cyber Defense Competition, etc. Familiarity with MSP tools such as RMMs What We Offer: 100% remote work environment - since our founding in 2015 New starter home office set up reimbursement (£398) Generous personal leave entitlements Digital monthly reimbursement (£92) Travel to the US 1-2 times/year for various company events Pension Access to the BetterUp platform for coaching, personal, and professional growth Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit businesses of all sizes. Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com . Please note that non-accommodation requests to this inbox will not receive a response. Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights. #BI-Remote

Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there's one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games. Discord empowers people to create spaces where they can find a sense of belonging in their lives. Millions of people trust Discord to keep their communications secure, private, and out of the hands of evildoers, so security and privacy are necessary to Discord's success. We are looking for a Senior Software Engineer to join our Application Security team and protect Discord's users where it matters most, their accounts. If you are an engineer with a wealth of experience making the secure way the easy way, a deep sense of curiosity, and an endless desire to improve Discord, read on! What you'll do Join an engineering team designing and implementing full-stack, user-facing security solutions that protect hundreds of millions of Discord users. Lead full-stack work to strengthen session security and authentication for Discord's users. Improve, operate, and maintain security-critical authentication services, owning their correctness and security. Partner with Product teams to drive adoption of stronger authentication and to ship user-facing account security tools. Identify and design solutions for emerging threats to user account security. Research and implement new security capabilities for the Discord platform, staying current on the authentication and session security landscape. Build security controls and tools that emphasize self-service, automation, and performance to help identify and mitigate account security flaws. Who you are You have 5+ years of experience securing production applications. You have 3+ years of experience programming in at least one general-purpose programming language (e.g., Python, Go, Java, or Rust). You have hands-on experience building and shipping production software, including security features, controls, frameworks, or guardrails. You have hands-on experience with authentication and account security, such as WebAuthn, passkeys, FIDO2, MFA, and session management. You are comfortable reasoning about the security of complex systems, even if they contain components you aren't familiar with, and can give engineers clear, sound guidance on secure design and implementation. You have experience leading security projects with a cross-functional group. You have experience building or hardening client applications, such as desktop or native mobile apps. You have experience operating in cloud-based environments (we use Google Cloud, but experience with other platforms is okay too). Bonus points Experience programming in at least one systems programming language (e.g. C, C++). Experience developing, operating, and debugging production systems. Familiarity with common application vulnerabilities on the platforms Discord ships on (that's all of them). This position is West Coast (U.S.) based and can be remote but if you live in the Bay Area, you're welcome to work from our beautiful SF office. The US base salary range for this full-time position is $196,000 to $245,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits. Why Discord? Discord plays a uniquely important role in the future of gaming. We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests, and helps developers build and grow their businesses. We believe games give us a way to have fun with our favorite people, whether listening to music together or grinding in competitive matches for diamond rank. Join us in our mission! Your future is just a click away! Discord is committed to inclusion and providing reasonable accommodations during the interview process. We want you to feel set up for success, so if you are in need of reasonable accommodations, please let your recruiter know. Please see our Applicant and Candidate Privacy Policy for details regarding Discord's collection and usage of personal information relating to the application and recruitment process by clicking HERE.

Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there's one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games. Discord seeks a seasoned Data Engineer, focusing on our advertising product data. In this role, you will drive technical vision and strategy for ads data engineering in support of our ML initiatives while building and maintaining sophisticated data pipelines, datasets, and analytical tools. You will lead cross-functional initiatives to transform our advertising products through data-driven insights and mentor fellow engineers to deliver exceptional results. This role works heavily with Data Science, Machine Learning, and product. If leading technical innovation, architecting scalable solutions, and empowering teams through data excites you, we encourage you to make a move! What You'll Be Doing Design and own core ads data models : fact/dim tables, canonical datasets, and aggregation layers that power delivery, measurement, targeting, attribution, and ML use cases. Build and maintain the ML data that enables ads ranking, delivery, and targeting - including feature development, label generation workflows, intra-day training, and ML input observability to catch data quality issues before they degrade model performance. Build conversion measurement pipelines and integrate third-party attribution data - including Conversion Attribution and Mobile Measurement Partner (MMP) integrations (Adjust, AppsFlyer, Singular) - ensuring attribution accuracy and data parity across measurement surfaces. Build batch and near real-time pipeline infrastructure across the ads ecosystem - pushing toward lower-latency data for ML and reporting use cases on our BigQuery + dbt + Dagster stack. Partnering with Data Platform on launch and success of new data processing engines to support low latency requirements.. Develop data quality frameworks, monitoring systems, automated anomaly detection, and SLA infrastructure for critical ads pipelines at massive scale. Proactively identify foundational data infrastructure gaps - including those with broad implications across ML, measurement, and reporting - and design scalable, canonical solutions that multiple teams can depend on. Build systems from scratch in a rapidly evolving, greenfield advertising data environment - making sound architectural decisions with incomplete information and balancing short-term delivery with long-term infrastructure investment. Drive alignment across Data Science, ML Engineering, Ads Product, and GTM teams through clear narratives that connect data infrastructure decisions to business outcomes and revenue impact. Mentor engineers through technical challenges, code and design reviews, and ownership of complex projects - contributing to the culture and engineering standards of the Data Engineering team team. What you should have 5+ years of hands-on experience writing production code and architecting data pipelines with high-volume consumer data in advertising technology domains (ad delivery, ranking, targeting, identity, conversion measurement). Deep expertise in digital advertising data engineering - specifically in ads delivery, conversion measurement, attribution pipelines, or ML feature data infrastructure. Experience with Conversion Data and APIs, MMP integrations, or identity graph infrastructure is strongly valued. Demonstrated experience building data models in a greenfield or 0-to-1 environment where requirements change frequently, documentation is sparse, and architectural decisions are made with incomplete information. Expert-level SQL and Python . Strong ability to design performant, maintainable data models and write production-quality pipeline code. Proven hands-on experience with data quality audits, monitoring systems, and automated anomaly detection for massive-scale datasets (billions+ rows) - including quality frameworks designed for ML inputs. Strong technical communication skills with the ability to drive alignment, influence prioritization, and earn adoption from technical stakeholders. Collaborative mindset and strong cross-functional instincts with experience building trusted working relationships with Data Science, ML Engineering, and Product teams. Bonus Points Passion for Discord or gaming communities Experience with data visualization and dashboarding technologies (Looker, Tableau, or similar) Experience with designing data architecture to power a variety of use cases, including reporting (internal and external), adhoc analysis, experimentation. Working with Data AI tools to establish greater self service utility for your customers. Experience building near real-time or streaming pipeline infrastructure (e.g., Kafka, Spark Streaming, or equivalent) in addition to batch processing is preferred. The US base salary range for this full-time position is $220,500 to $245,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits. Why Discord? Discord plays a uniquely important role in the future of gaming. We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests, and helps developers build and grow their businesses. We believe games give us a way to have fun with our favorite people, whether listening to music together or grinding in competitive matches for diamond rank. Join us in our mission! Your future is just a click away! Discord is committed to inclusion and providing reasonable accommodations during the interview process. We want you to feel set up for success, so if you are in need of reasonable accommodations, please let your recruiter know. Please see our Applicant and Candidate Privacy Policy for details regarding Discord's collection and usage of personal information relating to the application and recruitment process by clicking HERE.

Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack - empowering organizations to run AI across multi-vendor environments with centralized governance. The world's leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog , LinkedIn , X , and YouTube . The Platforms Infrastructure team is seeking a driven individual to join us in addressing our evolving infrastructure challenges. At Dataiku, our mission is to architect, deploy, and maintain robust data platforms centered around our core product. We also provide industrialization and production configurations for mission-critical web services. As domain experts, we proactively develop and disseminate reference infrastructure, best practices, knowledge, and tooling across all technical teams at Dataiku. This role encompasses a broad spectrum of responsibilities, from leveraging high-level managed services at hyperscalers to performing in-depth, low-level Linux debugging. As a key contributor to the deployment of our core product, the team actively participates in development initiatives related to infrastructure and Linux system interactions. We foster a collaborative environment and seek a like-minded individual to engage in highly collaborative projects. Effective communication skills are essential for interacting with diverse teams throughout the company. This position is based in Paris and may be considered for remote work. Your responsibilities: Design, deploy, and manage our core product based internal data platforms. Design, deploy, and configure production environments for multiple web services. Collaborate with teams to architect technical solutions, and subsequently deploy and manage those solutions. Develop core product features around cloud services and Linux integration. Guarantee optimal service capacity and robust security for all running workloads and services. The role might be a good fit if you have: Proficiency in infrastructure automation using tools such as Terraform. Expertise in container technologies and managed Kubernetes clusters. Advanced scripting skills in Python. Field experience with Linux operating systems and low-level system troubleshooting Practical experience in networking and compute within a major cloud provider (AWS, Azure, or GCP). Demonstrated resilience in resolving complex technical challenges, with a relentless pursuit of root cause analysis. Bonus point for any of these: Experience in implementing authentication and authorization systems, including LDAP, SAML, and OAuth2. Experience with configuration management tools as Ansible, Puppet or Chef. Knowledge of additional programming languages, particularly Go, considered a strong asset. Experience in networking and compute across multiple cloud providers (AWS, Azure, or GCP). What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you'd like to learn even more about working here, you can visit our Dataiku LinkedIn page . Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

Zone & Company Software Consulting LLC ("Zone") is the ERP-native AI platform for financial operations, purpose-built for organizations running on Oracle NetSuite. We are redefining how finance teams operate by delivering an AI-powered system that automates, connects, and scales financial workflows directly within the ERP. As the AI operating system for finance teams in NetSuite, Zone enables more than 4,500 customers worldwide to run smarter, faster, and with greater accuracy. Our platform spans the full financial lifecycle, including Quote-to-Cash, Procure-to-Pay, Treasury, Payroll Management, and Record-to-Report, eliminating manual processes and unlocking real-time financial intelligence. By embedding intelligence directly into NetSuite, Zone helps finance teams move beyond reactive work to proactive, strategic impact. Learn more at www.zoneandco.com or follow us on LinkedIn: linkedin.com/company/zoneandco . About the Job Lead Zone & Co .'s GTM Engineering function and become the driving force behind AI adoption across our go-to-market organization. You'll own the systems, data, integrations, and automation that power scalable pipeline generation—and build the team's ability to continuously improve and operate those systems themselves. Zone & Co. builds finance software that runs natively inside NetSuite. We're looking for a GTM Engineering leader who can architect the infrastructure behind our go-to-market engine, including our data and enrichment layer, integrations across the GTM tech stack, and automation supporting core inbound and outbound motions. You'll bring AI natively into GTM workflows, turn ideas into governed, production-ready solutions, and run structured experiments tied to measurable outcomes like pipeline, conversion, and efficiency. You'll also lead the evolution of the team from manual prospecting toward a more technical, systems-oriented model—including developing BDRs into GTM engineers who can build, maintain, and improve the systems they rely on. The ideal candidate thinks in systems, not isolated touchpoints. You'll design with data quality, deliverability, compliance, reliability, and cost control in mind from the start, while creating an environment where experimentation can happen quickly and safely. What You'll Do: Data and integrations Connect enrichment providers, internal data sources, and AI to keep account and contact data accurate and usable. Design data flows using proper field mapping and data contracts rather than one-off scripts. Integrate systems across CRM, sequencing, marketing automation, and the data warehouse. Evaluate new tools and prevent redundancy in the GTM stack. Automation Build inbound lead scoring, routing, and response workflows. Build outbound list building, enrichment, sequencing, and conversion tracking workflows. Translate opportunities identified by sellers, marketers, and CS team members into production-ready solutions. Take ambiguous problems from reps, AEs, or marketers and turn them into working systems. AI and experimentation Design agentic workflows for enrichment, personalization, scoring, and rep productivity, using sound prompt engineering and agent design. Run structured experiments across channels and workflows, measure against pipeline and conversion metrics, and retire what doesn't work. Report on system performance using BI tools such as Tableau or Looker. Team enablement Guide BDR team as it transitions into GTM engineering. Teach workflow design and Clay proficiency as the team's work shifts from manual prospecting to building and maintaining systems. Support people across GTM who are building their own agents and automations, helping make their work governed and production-ready. Governance, quality, and compliance Design safeguards up front for deliverability, data quality, and compliance with regulations such as GDPR and CAN-SPAM. Scope, document, and test everything before release. Apply guardrails on cost, performance, and sustainability so no system runs unmonitored. What You'll Need: 4+ years of hands-on experience building GTM automation and integrations personally, not solely directing others. Deep expertise in Clay or a comparable enrichment or workflow platform. Strong Salesforce experience, including data governance. Working proficiency in SQL, Python, or JavaScript sufficient to build and fix workflows independently of engineering. Experience with a BI tool such as Tableau or Looker. Proven experience applying LLMs and agentic tooling to real revenue workflows. Understanding of sales qualification frameworks (e.g., BANT, MEDDIC) and multi-touch attribution. Strong understanding of deliverability, data quality, and compliance requirements (GDPR, CAN-SPAM). Experience managing or mentoring a team. Ability to translate ambiguous business problems into working systems. Preferred Prior BDR or SDR experience. Benefits At Zone, we provide the platform; you provide the grit. We operate as a high-velocity, fully remote, global team where autonomy isn't just a perk, it's the standard. We're looking for self-driven professionals eager to navigate the complexities of a unique SaaS environment and take full command of their professional evolution. We ditch micro-management for high-trust flexibility, ensuring you have the space to innovate and scale. Our benefits are built to fuel this lifestyle, supporting your life beyond the screen so you can focus on making a global impact. Explore our offerings at https://www.zoneandco.com/careers Join Our Global Mission Zone & Co is an Equal Opportunity Employer committed to building a diverse, equitable, and inclusive workplace. We thrive on unique perspectives and strongly encourage candidates of all backgrounds to apply. Here, your identity is valued, and your talent is the only limit to your growth. All qualified applicants will receive consideration regardless of race, color, religion, sex, orientation, age, disability, or any other protected factor. Employment Terms United States Employment with Zone is "At-Will" , meaning either party may terminate the relationship at any time, with or without cause or notice, in accordance with applicable law. This job description does not constitute an employment contract or guarantee of continued employment. Duties and responsibilities may evolve as the company grows and may change at any time with or without notice. Non-US Jurisdictions This position is offered as a Fixed-Term or Permanent Contract based on your country of residence. Employment is subject to a written contract which outlines specific notice periods, probationary terms, and statutory entitlements. Privacy Statement and Applicant Privacy Notice . #LI-Remote

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. About the Role: As an AI Strategist, you are the embedded AI leader for our customers. You connect what customers are saying in their conversations, what their business needs most, and what Cresta's AI can do, then turn that into a prioritized plan and measurable results. You identify where automation and augmentation will deliver the most value, build the roadmap, and make sure the work ships and pays off. You will not be building AI Agents from scratch. Our Forward Deployed Engineers and Forward Deployed Product Managers create and deploy them. Your focus is on making deployed AI better: finding the next opportunity, optimizing what is already live, piloting new Cresta capabilities, and proving the business impact. You are analytical, commercially minded, and credible with senior stakeholders in CX, Operations, Product, Sales, and IT. You are technical enough to work closely with FDEs and FDPMs and to give product and engineering a tight feedback loop. What You'll Do: AI Strategy and Roadmap Identify automation and augmentation opportunities across the customer's contact center and wider customer experience operation. Prioritize initiatives by expected ROI and build a business case for each one. Build and maintain the customer's enterprise AI roadmap, and keep it current as priorities and Cresta capabilities change. Align stakeholders across CX, Operations, Product, Sales, and IT on priorities, sequencing, and success criteria. Conversation Intelligence and Business Insights Use conversation data to surface customer friction and emerging trends before they show up in other metrics. Identify operational inefficiencies and the changes that would reduce them. Share Voice of Customer insights with customer leadership and with Cresta product teams. Measure business impact and report it in terms executives care about, such as containment, handle time, conversion, CSAT, and cost to serve. AI Innovation and Execution Stay current on new Cresta features and bring the relevant ones to customers early. Pilot emerging AI capabilities, define how success will be judged, and decide with the customer whether to scale them. Optimize live AI Agents by analyzing performance, reviewing conversations, and recommending changes to prompts, workflows, and configurations. Coordinate deployments with FDEs, FDPMs, and customer teams, including milestones, timelines, and dependencies. Measure realized value after launch and report it back against the original business case. What We're Looking For: Experience: 5+ years in technology consulting, strategy, product, analytics, implementation, or customer success roles, ideally with AI or LLM-first products. Strategic and commercial skills: A track record of building roadmaps, prioritizing by ROI, and writing business cases that senior stakeholders approve. Analytical approach: Strong data skills. You are comfortable analyzing conversation or operational data, designing experiments such as A/B tests, and monitoring performance to refine solutions. Technical understanding: Working knowledge of how LLM-based AI agents function, including prompts, tools or function calling, and retrieval-augmented generation. Hands-on experience with an agent project, even a personal one, is a plus. You do not need to write production code, but you can read and reason about system behavior and discuss tradeoffs with engineers. Stakeholder leadership: Experience leading cross-functional work and influencing senior customer stakeholders across CX, Operations, Product, Sales, and IT. Communication: Excellent written, verbal, and presentation skills. You can explain a complex finding to an executive in plain language. Execution: Strong project management skills and a bias for action. You turn ambiguity into a plan and follow it through to results. Mindset: Curious, self-driven, and comfortable learning quickly in a fast-moving startup environment. You are passionate about AI, automation, and the future of customer experience. Education: Bachelor's degree in Business, Computer Science, Engineering, or a related field, or equivalent experience. Bonus Points: Familiarity with customer support and contact center operations, including metrics such as AHT, FCR, containment, and QA Experience with conversation intelligence, speech analytics, or voice-of-customer programs Background in management consulting, product management, or forward deployed roles Experience in a startup or high-growth SaaS environment Comfort with SQL or a BI tool for self-serve analysis 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. The posted compensation range represents what we expect to pay for this role in a given location. Final offers are shaped by factors like experience, skills, education, and geography. In addition to base pay, total compensation includes equity and a comprehensive benefits package for you and your family. OTE Range: $150,000 to $200,000 + Offers Equity 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.

Build a Safer World. TRM Labs provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime. TRM's platforms enable investigators to trace illicit activity, build cases, and construct operating pictures of threat networks. Leading agencies and businesses worldwide rely on TRM to make the world safer and more secure. Marketing Operations owns the systems the marketing organization runs on: the MarTech stack, the data that describes our funnel, and increasingly the AI agents that do the work. The Marketing Technology Engineer owns the automation and AI layer of that stack — building the agents and automations that remove manual work from the team, and making sure they keep running and keep producing output we can trust. This is a technical role inside a marketing function, and the marketing half is not optional. The impact you'll have here: Own the operating layer for marketing's agent fleet end to end — provisioning, output verification, monitoring, alerting, and incident response. Nothing counts as shipped until it has run for real and its output has been checked. Design and build agentic processes, skills, and automations that remove manual work from the team, and decide — with marketing judgment — which are worth building at all. Instrument what we build so usage, output, and value are visible to leadership, and so agents improve from feedback rather than staying frozen at launch. Consolidate how core marketing concepts are defined across tools and agents — territory, lead scoring stages, MQL and MQA, pipeline stages, targets — so automations and dashboards cannot quietly disagree, including across two product lines. Own the MarTech stack — configuration, administration, and integration — and build in a way the campaign execution team can extend without engineering support for routine work. What we're looking for: Prior marketing or marketing operations experience — required, not preferred. You already understand funnel and attribution logic, lead scoring, send-cadence and deliverability norms, and list hygiene and consent rules. This role has no downstream reviewer for marketing correctness. You have personally operated something unattended. A pipeline, integration, or agent that ran on its own, broke without telling you, and taught you to verify output rather than trust a green status. Scale matters less than the scar tissue. A track record of building production automation inside a GTM function — Clay, Zapier, Workato, n8n, or similar — where what you built was depended on by other people and you were the one who owned it. Evidence you have moved from no-code stitching into code and repository practice: version control, code review, CI, testing, and deploying into a shared repo rather than a personal account. Technical baseline: working proficiency in SQL and Python, solid REST API fundamentals, familiarity with secrets management for credentials and API keys, enough data-warehouse fluency (for example BigQuery) to query and reason about data models, and hands-on administration of HubSpot and Salesforce. Nice to have: Direct experience with Claude, or with n8n. Experience building multi-step enrichment waterfalls in Clay or similar that others depend on. Exposure to observability or data-quality practices — monitoring, alerting, freshness and anomaly checks — in any prior role. Experience supporting more than one product line, where the same metric has to be correct in two motions at once. About the Team: Marketing Operations is a distributed, not distant team that owns the systems the marketing organization runs on. The work is intellectually difficult because the same metric has to stay correct across two product lines and multiple tools and agents at once. Ownership is high: this role makes consequential marketing decisions without a downstream reviewer. The following represents the expected range of compensation for this role: Individual pay is determined by skills, qualifications, experience, and location. The compensation details listed in this posting reflect the US base salary only. The estimated base salary range for this role is $150,000–$190,000 USD. Additionally, this role may be eligible to participate in TRM's equity plan. Please note – we factor in the different costs for geographies outside the United States Application Instructions If you're interested in joining TRM, we encourage you to apply directly. Every application is reviewed by our Talent team. Before applying, review the job description carefully and highlight the experience and impact that best demonstrate the required qualifications. Please also provide thoughtful and accurate answers to the application questions, as these will be used to evaluate your skills and qualifications for the role. If you send your resume directly to someone at TRM, we can't guarantee it will reach the appropriate hiring team. Applying directly is the best way to ensure your application will be considered. Interviewing with TRM Our process is designed to understand how you think, solve problems, and deliver impact, while allowing you to evaluate TRM. Most interview processes include a case study, an AI skills assessment, and a Leadership Principles interview. Recruiter Intro: Qualifications, motivations, and alignment with the role. Hiring Manager: Deep dive into your relevant experience, skills, and impact. First Round: 1–2 interviews focused on the skills most critical to the role. Final Round: Hands-on case study. This is usually a panel-style session where we go deeper into your craft, problem-solving, and alignment with TRM. References: Former colleagues who can provide insight into your work and impact. Offer: Congrats! Your recruiter will present the offer and compensation details. Welcome to TRM: We're excited to build a safer world with you! Your recruiter will share your specific interview plan and preparation guidance along the way. AI Fluency at TRM AI fluency is a baseline expectation at TRM. We believe AI meaningfully changes how top performers operate. We expect every team member to use AI to accelerate and reimagine their craft, not just automate surface tasks. At TRM, AI fluency means you are among the top 10 percent of operators in your function in how you apply AI to: Accelerate repeatable workflows Structure and solve problems Improve output quality Increase speed and leverage You will be evaluated on applied AI fluency during the interview process. Life at TRM We are building a safer world. That promise shows up in how we work every day. TRM moves FAST. We are a high-velocity, high-ownership team that expects clarity, follow-through, and impact. People who thrive here are energized by hard problems, experimentation, and continuous feedback. If something takes months elsewhere, it will ship here in days. Our work sits at the intersection of AI, national security, and fighting crime. The problems are complex, the stakes are real, and the environment evolves quickly. The pace and intensity of the work reflect the importance of the mission. As a result, the way we operate requires a high level of ownership, adaptability, collaboration, and creative problem-solving. At TRM, you should expect: Priorities and targets to change quickly Operating with a high degree of ambiguity A high level of personal ownership and accountability Close collaboration across teams and functions Frequent, high-touch communication Creative problem-solving and out-of-the-box thinking A pace that rewards urgency, adaptability, and outcomes This environment is energizing for people who enjoy building, solving hard problems, and making progress in situations that are not always fully defined. It also requires thriving in ambiguity, adjusting course as new information emerges, and maintaining focus and positivity in a fast-moving and intense environment. We also recognize that this style of operating is not for everyone. If you are primarily optimizing for predictability or a consistently balanced workload, we encourage you to use the interview process to pressure-test whether this environment is truly the right fit. We want teammates who thrive here, not just survive here. If you are excited by meaningful problems, motivated by ambitious goals, and energized by working alongside mission-driven colleagues, there is a good chance you will find TRM to be an exceptional place to grow and contribute. Leadership Principles We hire and grow against three leadership principles. They're the standards for how we operate, treat each other, and make decisions. Impact-Oriented Trailblazer: We put customers first and move with speed, focus, and adaptability. We treat every plan like an experiment – test, ship, measure, and iterate quickly. Master Craftsperson: We care deeply about our craft. We balance speed with high standards, own outcomes end‑to‑end, and invest in getting better everyday. Inspiring Colleague: We add clarity and energy, not noise. We bring humility, candor, and a one‑team mindset — giving and receiving feedback to make the team stronger. Join our Mission At TRM, we care deeply about our craft. We are looking for individuals who want their work to matter, who experiment with speed and rigor, and who take pride in building a safer world for billions of people. If you're excited by TRM's mission but don't check every box, we encourage you to apply — we hire for slope, judgment, and the will to learn fast. TRM is a Series C company with $220M in total funding, backed by Goldman Sachs, Bessemer, Y Combinator, Thoma Bravo, and others. Headquartered in San Francisco, TRM operates as a distributed-first company with hubs in Los Angeles, San Francisco, New York, Washington D.C., London, and Singapore. 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To notify TRM Labs that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. The use of AI tools of any kind (including but not limited to notetakers, interview assistants, and real-time coaching tools such as Otter.ai, Fireflies, Fathom, Cluey, or similar) during TRM interviews is not permitted without prior approval from TRM. TRM uses its own internal tools for note-taking to ensure a consistent and confidential experience for all candidates. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this form . Recruitment agencies TRM Labs does not accept unsolicited agency resumes. Please do not forward resumes to TRM employees. TRM Labs is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company without a signed agreement.

WHO ARE WE? Launch Potato is the discovery and conversion company. We reach tens of millions of people every month through our brands, including FinanceBuzz , All About Cookies , and OnlyInYourState . We turn that attention into real outcomes for our partners, some of the world's leading companies. Our mission: create predictable, high-value customer acquisition at scale by connecting discovery, intent, and performance across category-leading consumer brands in finance, travel, and entertainment. We run profitable and bootstrapped, with a South Florida HQ and a remote-first team across 18 countries. WHY JOIN US? You own outcomes here, not tasks. We measure work by impact, not activity. The pace is real, and change is constant, so the people who do best turn change into opportunity instead of waiting for it to settle. Feedback runs direct and lands with respect. Ordinary people make themselves extraordinary at Launch Potato . BASE SALARY: $120,000 to $150,000 per year, paid semi-monthly MUST HAVE: Expert SQL & Comfortable with Unstructured Complex Data : Extracts accurate insights from raw, unstructured data without relying on clean models Reporting Ownership & Data Literacy : Builds, standardizes, drives adoption, and leaves teams more data-literate Performance Marketing Optimization : Connects data directly to levers that move the business, i.e. campaign performance, conversion rates, or revenue per session Advanced LookML Development (or equivalent in Power BI / Tableau) : Architects complex models with full understanding of downstream impacts Curiosity & Business Depth : Asks questions first; driven to grow business knowledge to become a trusted analytical partner, not just a builder EXPERIENCE: Minimum 7 years in business intelligence or analytics with direct exposure to performance or affiliate marketing. The strongest candidates have owned reporting end-to-end, from pipeline to dashboard, worked with messy, complex, third-party data, and partnered closely with business teams to uncover meaningful trends, conduct retrospective analyses, and connect data work to decisions that actually moved the business. YOUR ROLE Launch Potato is looking for a Lead BI Developer to own the reporting infrastructure that powers decision-making across our Credit Cards, Make Money/Manage Money, Banking, and Marketplace verticals with a clear growth path into becoming a proactive analytical partner who helps the team see around corners. You'll be embedded with the business from day one, partnering closely with our Yield, Paid Media, and Account Management teams to uncover meaningful trends, conduct retrospective analyses across experiments, creatives, offers, seasonality, and CAC performance, and challenge the team with insights they aren't currently seeing. This is NOT a role for someone who wants to build dashboards and hand them off, it's for someone who cares deeply about whether the work they build gets used, understood, and acted on. Outcomes (Performance Expectations) 30 Days in: Actively engaged with stakeholders to audit what reporting the team is consuming and why, i.e. identifying discrepancies, redundancies, and inconsistencies across existing dashboards and beginning to develop a roadmap to standardize reporting across your verticals. 60 Days in: Bridging business context and data understanding by being able to articulate how assigned verticals make money and what the key performance levers are. Actively improving dashboard standardization while executing on ad hoc requests with accuracy and business context. 90 Days in: Dashboard standardization is in execution and a clear roadmap exists for how trusted data sources will be developed to improve the efficiency of data consumption. LookML structure is understood well enough to begin making changes with full awareness of downstream impacts. Working relationships with Yield, Paid Media, and Account Management are established. 6 Months in: Trust is built with the business team through education, best practices, and a standardized reporting suite that enables confident self-service analytics. Proactive retrospective analyses are being delivered across experiments, creatives, offers, seasonality, and CAC performance. Strong understanding of the full funnel metrics that support each team. Year 1: Trusted technical owner for assigned verticals end-to-end, from raw data ingestion through final dashboard. Reporting standardization is complete, retrospective analysis is a consistent output, and the business team views you as a go-to analytical partner who recommends action, not just reports findings. Competencies Analytical Rigor: Asks the hard questions and traces discrepancies to the source before drawing conclusions. Reporting Ownership: Engages stakeholders to understand how reporting is used before building, i.e. creates dashboards that are adopted, not just delivered. Business Acumen: Invests in understanding the business by asking the right questions before pulling the data. Communication: Asks enough upfront to make sure the answer lands with the right context for the right audience. Proactive Ownership: Surfaces problems early, engages before being asked, and drives work forward with a clear point of view. Collaboration: Builds trust by asking genuine questions and showing they care about what stakeholders need, not just what they asked for. Curiosity & Growth: Asks more than most and is driven to grow from technical executor into analytical partner over time. TOTAL COMPENSATION Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato's Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments. Want to accelerate your career? Apply now! Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.