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Senior Analytics Engineer The Data Science & Analytics team at Asana is how the company turns data into decisions — defining the questions that matter, surfacing the answers, and making sure insight is at the center of every critical product and business call . As a Senior Analytical Engineer, you sit at the intersection of Data Engineering, Analytics, and Data Science, and you own the data foundations for a business domain end to end. Your mandate is to turn raw data into reliable, business-ready datasets that PMs, analysts, data scientists, and leaders actually trust and use — and to define the business logic and metric standards that make AI-powered self-serve trustworthy. You consume governed Silver tables and produce the Gold layer and semantic layer beneath Asana's most important metrics, dashboards, and Genie spaces.   This role is based in our Vancouver office with an office-centric hybrid schedule . The standard in-office days are Monday, Tuesday, and Thursday . Most Asanas have the option to work from home on Wednesdays . Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements .   What you'll achieve Own the Gold layer for a given business domain (e.g., PLG funnel, marketing attribution, revenue, NPI/AWM): Design and continuously improve the curated, dimensional data models that downstream dashboards, Genie spaces, and ELT reporting depend on. Implement the canonical business logic behind your domain's core KPIs: Translate KPIs into governed, versioned metric marts that resolve "this number doesn't match" disputes for good. Build and curate the semantic layer and Genie spaces that power self-serve in your domain: Author the metadata, documentation, and prompt/metric definitions that let stakeholders query governed data in plain language through Claude and Databricks Genie. Own the metric dictionary for your domain: a single source of truth for what each metric means, who owns it, and where to find it. Partner with peers across DS&A to keep KPI definitions consistent where domains overlap. Author data contracts and SLAs at the Silver→Gold boundary, partnering with Horizontal Data Engineering on the inputs you depend on, and owning data quality, freshness, and oncall for Gold/metric-mart failures in your domain. Build and maintain certified, board-ready dashboards on governed Gold data, partnering with Data Science to translate insight requirements into trusted, reusable products rather than one-off builds. Partner directly with Product & Business, Data Science, and Engineering to turn ambiguous, underspecified questions into scalable datasets — anticipating downstream reporting impacts before they become incidents, and raising the data-model quality bar across the domains you touch. About you Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making . 4+ years in analytics engineering, data engineering, or a closely related analytics role, with a track record of independently owning the data models a team relies on for decisions . Advanced SQL and strong data modeling fundamentals: dimensional modeling, star/snowflake schemas, slowly changing dimensions, and semantic layer design. Hands-on experience with a transformation framework (dbt or equivalent), orchestration tooling (e.g. Airflow), version control (Git), and modern warehouse/lakehouse platforms (Databricks experience preferred). Practical experience with data quality testing and observability, schema management and data contracts, and query/model performance and cost tuning. Demonstrated domain fluency in at least one business area (e.g. PLG funnels, SLG pipeline, marketing attribution, Product telemetry, revenue/ARR) and the judgment to translate "I don't trust this number" into a specific, durable model fix. Strong cross-functional partnership skills: requirement gathering, prioritization, documentation and enablement, driving alignment on metric definitions, and explaining technical tradeoffs to non-technical partners . Curiosity about AI-native a nalytics — NL2SQL, metadata/semantic layers for self-serve, and using tools like Claude and Genie to multiply your reach rather than replace rigor. Exposure to Unity Catalog, Looker/LookML, or reverse-ETL/activation (Salesforce, Marketo, Gainsight) is a plus   At A sana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission . If you're interested in this role and don't meet every listed requirement, we still encourage you to apply . What we'll offer Generous, transparent and fair compensation system (base salary and RSUs) Health insurance with dental  Breakfast and lunch catering on the da ys that you work from the office Home office setup budget Gym/Fitness card Fertility healthcare and family-forming support with Carrot Mental Health Support in Modern Health Group life insurance MacBo oks with all necessary accessories For this role, the estimated base salary range is between $106,000 - $120,000 CAD annually . The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process . The listed range above is a guideline, and the base salary range for this role may be modified . In addition to base salary, your compensation package may include additional components such as equity and sales incentive pay (for most sales roles), and benefits . If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role . #LI-Hybrid About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana's Talent Network  to stay up to date on job opportunities and life at Asana.

Who we are: Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks. Motive serves nearly 100,000 customers – from Fortune 500 enterprises to small businesses – across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector. Visit gomotive.com to learn more. About the Role: Business Operations at Motive is a highly cross-functional group that is responsible for developing our go-to-market strategy, improving go-to-market efficiency, and ensuring that we are hitting our growth targets. Our team is maniacal about and energized by the challenge of getting our hands dirty in any problem across Sales, Marketing, or Customer Success, and finding ways to help us scale more efficiently. We are a low-ego, highly-motivated group that collaborates with cross-functional stakeholders to drive alignment and execution. Examples of major strategic initiatives Business Operations takes on are optimizing the structure of our sales force, experimenting with new sales and marketing motions, and determining how we can leverage AI to improve operations. What You'll Do: Develop go-to-market strategies by analyzing market trends, customer segmentation, and Motive's competitive landscape. Collaborate with senior leaders to prioritize high-growth opportunities and drive strategic execution, ensuring alignment across all go-to-market functions. Lead cross-functional initiatives that connect the dots across different functions and stakeholders. You will be the driving force behind high-impact, high-visibility strategic initiatives that are critical to scaling our business by facilitating communication and collaboration between departments to ensure alignment and effective execution. Create robust analytical models and dashboards to provide actionable insights into go-to-market and product performance. You will take a hands-on approach to proactively identify trends, opportunities, and risks, translating data into clear recommendations for optimizing commercial results - leveraging AI throughout the process to drive scale and efficiency. Champion operational efficiency by continuously identifying and addressing process inefficiencies - you never stop asking "can we be doing this better?" Design and implement innovative solutions to streamline workflows, enhance productivity, and drive a culture of continuous improvement across the organization. What We're Looking For: 6+ years of relevant experience in consulting, banking, private equity, or Strategy & Operations, combined with in-house at a SaaS company Recent experience at a hypergrowth and rapidly scaling SaaS company Recent Bachelor's degree required; MBA is a plus Advanced communication, presentation, and organization skills Executive presence and comfort communicating with the C-suite Exceptional spreadsheet / data management skills, SQL proficiency preferred Expert with Google Sheets & Excel, with the ability to build data models Proficient in AI tools and comfortable leveraging AI to maximize effectiveness of daily work Intellectual curiosity supported by exceptional analytical skill Strong, demonstrated leadership capabilities Experience working on cross-functional projects with various stakeholders and a demonstrated expertise in managing such projects Able to work in ambiguous, fast paced, environments under tight and unpredictable timelines Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives. Please review our Candidate Privacy Notice here . UK Candidate Privacy Notice here . The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology. Regarding US-based roles, depending on your role and primary work location, Motive Technologies, Inc. ("Employer") discloses candidates may be required to execute a non-compete covenant with the Employer. This requirement does not apply to lawyers, interns, or employees working in CA, MN, MT, ND, OK, or where otherwise prohibited by law. Non-compete covenant terms in all other jurisdictions will be subject to the applicable statutory requirements, including but not limited to, procedures, industry related prohibitions, or salary and compensation thresholds. All job postings are for existing vacancies. Please note; some interviews or new-hire training sessions may be held in person at one of our global offices.

About Us Since 2013, we've been building a CRM that gets out of your way and helps your team sell more, faster. Now we're building AI into every part of it, so Close does the busywork and your team does the selling. No manual data entry, no 10-click workflows. Just communication-first, AI-powered sales software designed to help you succeed and scale. We're bootstrapped and profitable which means we answer to our customers and play by our rules. We're proud of our 120-person, 100% remote team, focused on building Close so that no small, scaling business fails because it can't figure out sales. About the Role Close is a CRM built around the communication tools sales teams use every day: email, calling, SMS, workflows, reporting, and AI. Underneath that product is a broad technical surface — Python services and a large application backend, a TypeScript and React frontend, public APIs, Docker and Kubernetes, AWS infrastructure, and integrations with providers that handle sensitive customer data. Security work happens across it all today, but the ownership is spread across Engineering, Infrastructure, and Security & Trust. We're hiring our first dedicated Product Security Engineer to make that work systematic. You'll report to the Backend Platform team manager within EPD (Engineering, Product, and Design), while working across the entire product and infrastructure surface. You'll find vulnerabilities, determine which findings matter most, and drive them through remediation. Often you'll fix the problem yourself. Other times you'll give the owning team a clear reproduction, a practical path forward, and enough context to prioritize correctly. You'll analyze code, build proof-of-concepts, test running applications, tune or replace noisy tools, and automate the repetitive parts of vulnerability management. This is not a role where you forward scanner alerts and call the queue managed. Product and application security will be your responsibility. You'll partner closely with our Infrastructure team on cloud security, access, and secrets, and with our Security & Trust Lead on GRC Engineering , compliance (SOC 2) goals, audits, and corporate security. This role is a new one at Close. You'll have significant room to decide where better tooling, clearer ownership, and a small amount of code can reduce the most risk. Our stack Our backend is primarily Python, with Flask and FastAPI services and TaskTiger and Temporal handling much of our asynchronous work. We expose REST and GraphQL APIs and store data in MongoDB, PostgreSQL, Elasticsearch, and Redis. Our frontend is a large single-page TypeScript application built primarily with React. We bundle with Vite, target modern browsers, and test with Vitest, React Testing Library, Playwright, and Chromatic. The product updates in near real time and uses technologies including WebSockets and WebRTC. Our mobile application is built with React Native. We build and test Docker images in CI/CD and continuously deploy them to Kubernetes on AWS. Our infrastructure uses managed services including EKS, MSK, and ElastiCache, alongside services running on EC2. Terraform and Ansible automate much of the underlying infrastructure, and our containerized local development environment lets engineers run the full system on their own machines. For this role, our stack extends beyond simply backend or frontend: browser behavior, frontend state, API authorization, asynchronous processing, data access, third-party integrations, containers, and cloud configuration can all be part of the same attack path. We love open sourcing our code and ideas on our GitHub and on The Making of Close , our behind-the-scenes Product & Engineering blog. Check out our open source projects like SocketShark , TaskTiger , LimitLion and ciso8601 . AI is both how we build and what we ship, and that's reshaped what engineering looks like. This is a transformation we're embracing and find deeply exciting. You are An application security engineer who writes code. You can move from reading an unfamiliar code path, to reproducing an exploit, to proposing or shipping a production-quality fix. Strong Python or TypeScript experience would be especially useful; fluency across both backend and frontend systems is even better. Skilled at finding vulnerabilities conventional scanners may miss. You use modern AI-assisted review pipelines, guided by expert judgment, to uncover subtle flaws in web apps and APIs—from authentication, authorization, and tenant isolation to injection, SSRF, unsafe data flows, and business logic. You can threat-model designs, white-box review code, and test running systems. Offensive-minded and operationally responsible. You know how to test like an attacker without being careless with customer data or production systems. You can turn a finding into a safe reproduction, assess exploitability and business impact, and retest the eventual fix. An automation builder. You have worked with some mix of SAST, DAST, software composition analysis, container scanning, secrets scanning, or cloud posture tooling. More importantly, you know how to tune tools, connect them to engineering workflows, and remove noise. AI-native and accountable. You use coding agents and LLMs to accelerate investigation, code review, and repetitive engineering work, but you verify their output. You think carefully about what happens when agents clone untrusted code, install dependencies, or receive access to credentials. Able to separate severity from priority. A score is an input, not a foregone conclusion. You consider reachability, existing controls, customer impact, and attack chains, then explain the risk in language that is legible to an engineer or business owner. Comfortable working across the business. You'll collaborate with product engineers, Site Reliability Engineers, Security & Trust Lead, auditors, and external researchers without confusing partnership for pass-off ownership. You will follow findings to closure even when another team is responsible for the fix. Self-directed in a remote environment. You can take an ambiguous surface (say, secret rotation or dependency remediation) and learn how it works across multiple systems then turn it into a practical plan with measurable progress. You do not need to arrive as the deepest expert in every part of this scope. You do need to be able to investigate an unfamiliar system, determine what matters, and bring the right people with you. You will The work spans hands-on application security, security automation, vulnerability management, and infrastructure partnership. Depending on where you find the greatest risk and leverage, projects could include: Build a recurring product security review program. Threat model new features, audit high-risk areas, review code, and build safe proof-of-concepts in isolated development environments. Work across our backend, frontend, APIs, and customer-facing integrations. Improve application security testing. Combine static analysis, dependency and secrets scanning, dynamic testing in development, and carefully scoped production testing. Use existing tools where they fit and build focused automation where they don't. Own vulnerability intake and remediation. Triage findings from HackerOne, scanners, penetration tests, audits, customers, and internal research. Reproduce issues, assess exploitability and impact, track remediation, and verify fixes. Serve as technical lead for our bug bounty program while contract and budget ownership remain elsewhere. Turn security alerts into useful engineering work. Verify scanner coverage and automate ingestion, deduplication, enrichment, prioritization, and routing—so teams spend less time interpreting alerts and more time fixing important issues. Make dependency remediation safer and less manual. Improve scanning across our Python and TypeScript codebases, then build workflows to assess upgrades, stage pull requests, run checks, and route work without exposing credentials to untrusted packages or build steps. Make secrets routinely rotatable. Partner with service owners and Infrastructure to inventory application secrets, add graceful rotation paths, document provider-specific runbooks, and automate rotation where the provider and risk justify it. Expand our use of Vault-backed dynamic credentials and reduce the number of rotations that require a coordinated fire drill. Strengthen AWS security with Infrastructure. Evaluate and improve automated detection of risky configuration across identity, networking, compute, storage, containers, and registries. Turn findings into secure defaults, just-in-time access patterns, infrastructure guardrails, and actionable remediation—not build a second Infrastructure team. Support audits and raising the security floor. Partner with Security & Trust on external assessments, provide technical context, and ensure findings are fixed rather than rediscovered. Along the way, create documentation, paved roads, and lightweight training that helps engineers make safer choices without waiting for a security review. Take a key technical role in security incident response. Partner with Engineering and Infrastructure to coordinate investigation, containment, and remediation. Contribute to root-cause analysis and follow-up improvements, translating lessons learned into stronger controls and reduced recurrence. Tech you'll touch: Python, TypeScript, React, Flask, FastAPI, GraphQL, Docker, Kubernetes, AWS, Vault, GitHub Actions, MongoDB, PostgreSQL, Redis, Kafka, Elasticsearch and the security tooling you help us choose. Benefits Compensation: Competitive pay plus an organization-wide goal-based bonus Paid Time Off: ~5 weeks of PTO to start. Plus a 1-week all-company Winter Holiday Break and paid US holidays. You'll earn 2 extra days for every year you're with Close. 80% Work Option: Work with your manager to choose between a standard 5-day week or a 4-day week at 80% pay Parental Leave: Paid leave for primary and secondary caregivers Sabbatical: A 1-month paid sabbatical every 5 years with the team Healthcare (US residents): Two medical plans with Close covering the majority of your premium, plus Dental, Vision, HSA, FSA, and company-paid Long-Term Disability 401k (US residents): We match your contributions up to 6%, vested immediately Our Values Build a house you want to live in - Examine long-term thinking and action No BS - Practice transparency and honesty, especially when it's hard Invest in each other - Build successful relationships with your coworkers and customers Discipline equals freedom - Keep your word to yourself and others Strive for greatness - Constantly challenge yourself and others Learn More Listen to our CEO and Founder, Steli Efti, tell the story of Close's journey in the $0-30m Blueprint . Watch our culture video from our 2023 team retreat in Milan. Every year our entire team gathers in person to build connection, foster cross-functional collaboration, and have fun. In 2027, we're headed to Dusseldorf, Germany! Explore our product. Check out a demo ! Our Hiring Process We ask a few role-specific questions as part of our application process. These questions are designed to help us learn more about you from the start, so please answer each one thoughtfully. We see this as an opportunity to get to know you beyond your resume. We use AI tools daily at Close and expect candidates to do the same. In evaluating your application, we aim to get a sense for you - the way you think, how you communicate, the work you've done. Applications that read as fully AI-generated will not be considered. Regardless of fit, you can expect to hear back from our team with an update on the status of your candidacy. If you progress to the interview process, you'll receive a full outline of the role-specific steps in your first touchpoint with us. We do our best to make the hiring process clear and human.

Our Vision & Products EverAI — Building the Future of AI Companionship One of the Top 15 Largest & Fastest-Growing AI Companies in the World 50 Million Users in 2 years — Help Us Reach 100M first, 500M next At EverAI , we're shaping what it means to connect with AI. With 50 million users and counting , we're not just building products — we're creating entirely new categories. Our flagship product is the world's largest AI companionship platform , redefining relationships for millions. It is governed by our proprietary moderation system, EverGuard — an internal AI designed to ensure everything we build is safe, ethical, and human-first . And we're only just getting started! Our Team We are an enthusiastic, passionate and hardworking team of ≈ 100 people. Our founding team has strong entrepreneurial experience building and scaling web products from 0 to IPO. Alexis Soulopoulos [CEO] • 10+ years in Tech Executive Leadership • Co-Founder Mad Paws Holdings (from 0 to IPO) • Forbes 30 under 30 + Deloitte TechFast50 '22 & '23 Michael Monin [Co-founder & CTO] • 10+ years as CTO / COO (web2/web3), 3 years in AI/LLM • Serial-entrepreneur: MTK Digital (exited / 0->$20m revenue) and Zipchat (AI Chatbot for E-commerce brands) Thomas Lacroix [Co-founder & CMO] • 8+ years in Customer Acquisition & E-commerce Growth • Serial-entrepreneur: Curatible (sold to Blackstone) and MTK Digital (exited / 0->$20m revenue) Maruša Fasano [CFO/Legal] • 25+ years in Finance, Strategy, M&A • Ex-CFO/M&A @Curatible (exited to Blackstone) • Ex-President of the Board @SotremoSA (exited) • Co-founder/CFO @SoftOne (exited) Your Role We are looking for a Trust & Safety Product Manager to own the product and technical delivery of our compliance and safety initiatives across our platforms. You will turn safety requirements into effective product features, moderation capabilities, third-party integrations, and measurable improvements. Working closely with Compliance, Engineering, AI/ML, Product, and Customer Support, you will help us identify risks earlier, build safeguards into new features, and continuously improve how our safety systems perform. This is a newly created role within our Product team, working directly with our CTO, Michael Monin and our Legal & Safety Lead, Maxwelle Sokol . You will have significant ownership from the outset and the opportunity to shape how the safety product function develops as the company continues to grow. Our platform serves adults and permits lawful adult content. We are looking for someone who can navigate sensitive, context-dependent issues thoughtfully, protecting users and enforcing clear boundaries without unnecessarily restricting legitimate expression. Here's what you can expect: Key Responsibilities Safety & legal product strategy and delivery. Translate safety policies, legal requirements (e.g., in online safety and AI-specific laws such as the EU AI Act), incident findings, and user feedback into clear product requirements, acceptance criteria, and engineering work. Drive initiatives from problem definition through implementation, testing, launch, and ongoing improvement. Internally developed moderation technologies . Own the product side of improvements to our in-house moderation systems, including our proprietary LLM technology EverGuard. Partner with Engineering and AI/ML teams on, e.g., detection capabilities, moderation rules and thresholds, and appropriate interventions across user inputs and AI-generated outputs. Third-party safety partnerships and integrations . Lead the technical and product lifecycle of third-party safety partnerships, from identifying needs and evaluating providers to implementation, testing, rollout, and ongoing performance management. Safety dashboards, monitoring, and quality assurance . Establish dashboards and a recurring QA that help us proactively identify emerging issues, prevent harmful content, and ensure that our T&S measures are working as intended. Red teaming and adversarial testing . Own our testing for how moderation systems and product safeguards respond to deliberate misuse and difficult edge cases. Track findings through remediation, retesting, and closure—not just delivery of a report. Trust and safety reviews for new features . Establish and run a dedicated T&S review for new features, with proportionate reviews for material changes to existing features, models, and integrations. Engage early in product design to identify foreseeable misuse, affected users, and appropriate safeguards. Incident follow-through and continuous improvement . Coordinate the product and engineering response to significant safety issues, working with colleagues responsible for incident management, policy, and user support. Learn more about our Trust & Safety infrastructure in our Trust & Safety Hub . Your Qualifications Data-driven product decisions that align with legal/ethical standards: You can name the metrics you want to influence, explain why it matters, and say whether your work actually moved them. You've run A/B tests, product experiments, data deep-dives, or lightweight user research and used the findings to shape what was built next. You can assess risks associated with user-generated content, transactions, and interactions, and translate these into policies that align with legal and ethical standards, trackers/dashboards, and strategic planning; Content moderation and AI guardrails : You understand how product realities and safety requirements interact on a tech platform; you explore strategies for efficient and scalable content moderation, including automation, machine learning, human review and user reporting. Legal/safety work experience : You have worked closely with trust and safety and compliance requirements and understand how to translate and implement these for a consumer-facing product; Collaborative mindset and communication : You work cross-functionally with engineering, legal, operations, and customer support teams — these are your partners and support system, not your adversaries or a box to be checked. You ask the right questions, challenge assumptions constructively, and are fully fluent and comfortable in English; AI fluency: You are completely comfortable working with and leveraging AI tools. You actively seek out and experiment with new tools and techniques without waiting for a project or manager to require them; You are point person for third-party partnerships: You proactively test and can autonomously handle discussions with third-party tools and integrations that affect our compliance and safety posture; You take ownership and move without waiting for certainty: Comfortable with ambiguity, you create clarity by investigating, building, testing, and learning rather than waiting for a complete brief. You balance execution against planning, address blockers early, and take responsibility for the outcome rather than waiting to be told what to do, caring more about reaching the right result than following a fixed process; You are comfortable with the product category: you are fully comfortable building products based on uncensored models and content; Bonus points You have previous legal/compliance education Professional experience or interest in AI Experience with consumer-facing features, particularly in the entertainment or gaming industry Soft Skills Strong communication & collaborative skills (perfectly fluent in English) Goal-oriented, ownership and commitment ⚡️ Doer mindset - we are moving fast and need people who can balance execution, planning, and strategy Humble - willing to learn, open to feedback #NSFW - Comfortable reviewing and discussing uncensored AI-generated content and NSFW material We believe strongly that information can be learned, but effort and motivation cannot. If this role appeals to you but you don't have hands-on experience in all the fields listed in this job description, apply anyway and tell us why you'd be a good fit! Why EverAI? Exponential Growth : From 50M users in 2 years, to 100M next — and 500M beyond Track Record of Category-Creating Innovation : We consistently launch world-first AI applications — setting the pace, not following it Global Impact : Top-tier user growth, real-world adoption, and cultural relevance Proven Leadership : A senior team that's launched, scaled, and exited & IPO'd multiple scale ups — now fully focused on reshaping AI companionship Elite Remote Team : 100% remote and built to win — world-class talent from Tier 1 tech companies , with a culture of ownership, velocity, and radical creativity ️ Ethical Core : Our AI ecosystem is governed by EverGuard, our proprietary AI moderation technology , ensuring responsible development at scale What We Offer ✍️ Contract Type: We prefer B2B, but we're flexible, what matters is long-term commitment and impact Work From Anywhere: Fully remote. Choose the environment where you do your best work ️ Paid Time Off: 4 weeks (20 working days) of PTO per year to recharge and reset ‍‍‍ Annual Gathering: A yearly in-person meetup to connect, brainstorm, and celebrate wins together ❤️‍ Health & Wellness Support: Monthly allowance of 100 USD for health insurance expenses & access to unlimited 1:1 sessions with psychologists and lifestyle experts through OpenUp (also available to up to three of your family members) Co-Working Space Budget: Work from a co-working space up to twice per month (35 EUR / 40 USD per visit) to stay inspired and connected Learning Budget: Dedicated funds to support your professional growth: courses, books, conferences, events, or certifications Company Laptop & Equipment: Laptop provided + monitor budget up to 250 USD + keyboard/mouse/mic/headphones budget up to 150 USD ⚡ AI Tools Access: Premium access to ChatGPT, Hugging Face, Claude Code, and any other tool needed to excel at your job, power your ideas and workflows * Compensation: Our salary ranges are set based on role level, scope, location, and market data, and applied consistently regardless of candidate background or negotiation history. The final offer within the published range reflects assessed experience and scope. Top Tier Talent Is Our Multiplier We're a fully remote group of A-players from Tier 1 tech , led by an exec team who've launched, scaled, and exited multiple companies . We move fast, and care deeply about what we build — and who we build it with. We're looking for exceptional talent ready to ship & distribute world-first AI products at scale, fast, and co-create with us this category-defining business. If that's you — reach out and apply!

Our Vision & Products EverAI — Building the Future of AI Companionship One of the Top 15 Largest & Fastest-Growing AI Companies in the World 50 Million Users in 2 years — Help Us Reach 100M first, 500M next At EverAI , we're shaping what it means to connect with AI. With 50 million users and counting , we're not just building products — we're creating entirely new categories. Our flagship product is the world's largest AI companionship platform , redefining relationships for millions. It is governed by our proprietary moderation system, EverGuard — an internal AI designed to ensure everything we build is safe, ethical, and human-first . And we're only just getting started! Our Team We are an enthusiastic, passionate and hardworking team of ≈ 100 people. Our founding team has strong entrepreneurial experience building and scaling web products from 0 to IPO. Alexis Soulopoulos [CEO] • 10+ years in Tech Executive Leadership • Co-Founder Mad Paws Holdings (from 0 to IPO) • Forbes 30 under 30 + Deloitte TechFast50 '22 & '23 Michael Monin [Co-founder & CTO] • 10+ years as CTO / COO (web2/web3), 3 years in AI/LLM • Serial-entrepreneur: MTK Digital (exited / 0->$20m revenue) and Zipchat (AI Chatbot for E-commerce brands) Thomas Lacroix [Co-founder & CMO] • 8+ years in Customer Acquisition & E-commerce Growth • Serial-entrepreneur: Curatible (sold to Blackstone) and MTK Digital (exited / 0->$20m revenue) Maruša Fasano [CFO/Legal] • 25+ years in Finance, Strategy, M&A • Ex-CFO/M&A @Curatible (exited to Blackstone) • Ex-President of the Board @SotremoSA (exited) • Co-founder/CFO @SoftOne (exited) Your Role We are looking for a Trust & Safety Product Manager to own the product and technical delivery of our compliance and safety initiatives across our platforms. You will turn safety requirements into effective product features, moderation capabilities, third-party integrations, and measurable improvements. Working closely with Compliance, Engineering, AI/ML, Product, and Customer Support, you will help us identify risks earlier, build safeguards into new features, and continuously improve how our safety systems perform. This is a newly created role within our Product team, working directly with our CTO, Michael Monin and our Legal & Safety Lead, Maxwelle Sokol . You will have significant ownership from the outset and the opportunity to shape how the safety product function develops as the company continues to grow. Our platform serves adults and permits lawful adult content. We are looking for someone who can navigate sensitive, context-dependent issues thoughtfully, protecting users and enforcing clear boundaries without unnecessarily restricting legitimate expression. Here's what you can expect: Key Responsibilities Safety & legal product strategy and delivery. Translate safety policies, legal requirements (e.g., in online safety and AI-specific laws such as the EU AI Act), incident findings, and user feedback into clear product requirements, acceptance criteria, and engineering work. Drive initiatives from problem definition through implementation, testing, launch, and ongoing improvement. Internally developed moderation technologies . Own the product side of improvements to our in-house moderation systems, including our proprietary LLM technology EverGuard. Partner with Engineering and AI/ML teams on, e.g., detection capabilities, moderation rules and thresholds, and appropriate interventions across user inputs and AI-generated outputs. Third-party safety partnerships and integrations . Lead the technical and product lifecycle of third-party safety partnerships, from identifying needs and evaluating providers to implementation, testing, rollout, and ongoing performance management. Safety dashboards, monitoring, and quality assurance . Establish dashboards and a recurring QA that help us proactively identify emerging issues, prevent harmful content, and ensure that our T&S measures are working as intended. Red teaming and adversarial testing . Own our testing for how moderation systems and product safeguards respond to deliberate misuse and difficult edge cases. Track findings through remediation, retesting, and closure—not just delivery of a report. Trust and safety reviews for new features . Establish and run a dedicated T&S review for new features, with proportionate reviews for material changes to existing features, models, and integrations. Engage early in product design to identify foreseeable misuse, affected users, and appropriate safeguards. Incident follow-through and continuous improvement . Coordinate the product and engineering response to significant safety issues, working with colleagues responsible for incident management, policy, and user support. Learn more about our Trust & Safety infrastructure in our Trust & Safety Hub . Your Qualifications Data-driven product decisions that align with legal/ethical standards: You can name the metrics you want to influence, explain why it matters, and say whether your work actually moved them. You've run A/B tests, product experiments, data deep-dives, or lightweight user research and used the findings to shape what was built next. You can assess risks associated with user-generated content, transactions, and interactions, and translate these into policies that align with legal and ethical standards, trackers/dashboards, and strategic planning; Content moderation and AI guardrails : You understand how product realities and safety requirements interact on a tech platform; you explore strategies for efficient and scalable content moderation, including automation, machine learning, human review and user reporting. Legal/safety work experience : You have worked closely with trust and safety and compliance requirements and understand how to translate and implement these for a consumer-facing product; Collaborative mindset and communication : You work cross-functionally with engineering, legal, operations, and customer support teams — these are your partners and support system, not your adversaries or a box to be checked. You ask the right questions, challenge assumptions constructively, and are fully fluent and comfortable in English; AI fluency: You are completely comfortable working with and leveraging AI tools. You actively seek out and experiment with new tools and techniques without waiting for a project or manager to require them; You are point person for third-party partnerships: You proactively test and can autonomously handle discussions with third-party tools and integrations that affect our compliance and safety posture; You take ownership and move without waiting for certainty: Comfortable with ambiguity, you create clarity by investigating, building, testing, and learning rather than waiting for a complete brief. You balance execution against planning, address blockers early, and take responsibility for the outcome rather than waiting to be told what to do, caring more about reaching the right result than following a fixed process; You are comfortable with the product category: you are fully comfortable building products based on uncensored models and content; Bonus points You have previous legal/compliance education Professional experience or interest in AI Experience with consumer-facing features, particularly in the entertainment or gaming industry Soft Skills Strong communication & collaborative skills (perfectly fluent in English) Goal-oriented, ownership and commitment ⚡️ Doer mindset - we are moving fast and need people who can balance execution, planning, and strategy Humble - willing to learn, open to feedback #NSFW - Comfortable reviewing and discussing uncensored AI-generated content and NSFW material We believe strongly that information can be learned, but effort and motivation cannot. If this role appeals to you but you don't have hands-on experience in all the fields listed in this job description, apply anyway and tell us why you'd be a good fit! Why EverAI? Exponential Growth : From 50M users in 2 years, to 100M next — and 500M beyond Track Record of Category-Creating Innovation : We consistently launch world-first AI applications — setting the pace, not following it Global Impact : Top-tier user growth, real-world adoption, and cultural relevance Proven Leadership : A senior team that's launched, scaled, and exited & IPO'd multiple scale ups — now fully focused on reshaping AI companionship Elite Remote Team : 100% remote and built to win — world-class talent from Tier 1 tech companies , with a culture of ownership, velocity, and radical creativity ️ Ethical Core : Our AI ecosystem is governed by EverGuard, our proprietary AI moderation technology , ensuring responsible development at scale What We Offer ✍️ Contract Type: We prefer B2B, but we're flexible, what matters is long-term commitment and impact Work From Anywhere: Fully remote. Choose the environment where you do your best work ️ Paid Time Off: 4 weeks (20 working days) of PTO per year to recharge and reset ‍‍‍ Annual Gathering: A yearly in-person meetup to connect, brainstorm, and celebrate wins together ❤️‍ Health & Wellness Support: Monthly allowance of 100 USD for health insurance expenses & access to unlimited 1:1 sessions with psychologists and lifestyle experts through OpenUp (also available to up to three of your family members) Co-Working Space Budget: Work from a co-working space up to twice per month (35 EUR / 40 USD per visit) to stay inspired and connected Learning Budget: Dedicated funds to support your professional growth: courses, books, conferences, events, or certifications Company Laptop & Equipment: Laptop provided + monitor budget up to 250 USD + keyboard/mouse/mic/headphones budget up to 150 USD ⚡ AI Tools Access: Premium access to ChatGPT, Hugging Face, Claude Code, and any other tool needed to excel at your job, power your ideas and workflows * Compensation: Our salary ranges are set based on role level, scope, location, and market data, and applied consistently regardless of candidate background or negotiation history. The final offer within the published range reflects assessed experience and scope. Top Tier Talent Is Our Multiplier We're a fully remote group of A-players from Tier 1 tech , led by an exec team who've launched, scaled, and exited multiple companies . We move fast, and care deeply about what we build — and who we build it with. We're looking for exceptional talent ready to ship & distribute world-first AI products at scale, fast, and co-create with us this category-defining business. If that's you — reach out and apply!

Senior Software Engineer About Tripadvisor The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world's most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork. Tripadvisor Experiences Engineering is the team that builds and supports the world's leading marketplace for travel experiences . We believe that making memories is what travel is all about. And with 400,000+ travel experiences to explore—everything from simple tours to extreme adventures (and everything in between) —making memories that will last a lifetime has never been easier. About the Role We are looking for a product-focused Senior Software Engineer to join our Experiences Engineering team. This is a full-stack role, leveraging Java, SQL, React, AWS and AI tools . It suits "T-shaped" engineers who thrive on autonomy and technical leadership. You'll build and maintain highly scalable distributed systems that power travel experiences for millions of users globally. We embrace flexibility in where and how work gets done and also value meaningful in-person moments to connect and collaborate. You can expect a remote-first working model with periodic in-person gatherings at your closest office for team connection, planning, or other key moments. This position is open to candidates based within a commutable distance (generally up to 1.5 hours) of one of our office hubs in London, Oxford, Krakow or Lisbon. What You'll Do Lead Technical Design: Own features end-to-end, leading the design and implementation of highly visible features while balancing security, privacy, and performance. Translate Strategy to Action: Work with Product and Data partners to turn high-level business goals into clear technical specifications, often serving as the technical lead for multi-quarter initiatives. Elevate the Team: Set the bar for code quality, lead the adoption of review standards, and mentor junior and mid-level engineers. Master Agentic AI: Use AI tools as a strategic partner to plan approaches, decompose ambiguous work, and establish new standards for monitoring and reliability. Architect for Resilience: Define the operational strategy and design highly fault-tolerant architectures, proactively identifying structural risks and setting the team-wide standards for automation, monitoring, and long-term stability. Optimize Systems: Actively look for opportunities to simplify, consolidate, or retire legacy code to reduce complexity and increase team velocity. Skills & Experience We typically look for 5+ years' experience, following a Bachelor's degree or above in Comp Science or a related field. Distributed Systems Expertise : Deep understanding of concurrent programming and experience building high-performance, scalable backend systems in cloud environments. Analytical Mindset: A habit of asking "how will we know this worked?" and using operational data or experiment results to validate every significant technical decision. Full-Stack Proficiency: Strong experience in at least one modern backend language (e.g., Java, C#, Go, Python) and familiarity with modern front-end frameworks. AI Coding: you are fluent coding with either Cursor or Codex/Claude/Open Code. Navigating Ambiguity: Comfortable making rational tradeoffs between non-functional requirements and delivery speed in an evolving environment. Collaborative Leadership: Proven ability to build relationships across disciplines and communicate technical trade-offs to non-technical partners. We'd love to see experience with NoSQL databases, GraphQL, Kafka, or containerization (Docker/Kubernetes). Experience building tools or abstractions that provide leverage to an entire engineering team is also a significant plus. We don't expect you to know everything on day one. More than any specific tool, we value curiosity and the ability to solve problems creatively. We value engineers from different technical backgrounds. You can complete our coding interview exercises in any language of your choice, but need to be open to working within the Java ecosystem when you join! What We Offer Competitive compensation packages , including base salary, annual bonus, and more. "Work your way" with flexibility to suit your lifestyle. We take a remote-friendly approach to collaboration, with the option to join on-site as often as you'd like in select locations. Flexible schedule . Work-life balance is ingrained in our culture by design. Trust and accountability make it work. Donation matching . Give back? Give more! We match qualifying charitable donations annually. Tuition assistance . Want to level up your career? We love to hear it! Receive annual support for qualified programs. Lifestyle benefit . An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. Travel perks . We believe that travel is employee development, so we provide discounts and more. Employee assistance program . We're here for you with resources and programs to help you through life's challenges. Health benefits . We offer great coverage and competitive premiums. Generous referral scheme. Help us grow and be rewarded with generous awards for referring successful candidates. Our Cultural Pillars: Traveller first: We exist to create value for our customer, the traveler. We enable our suppliers and partners to unlock this value. Their collective behaviors and insights are what drives us. Execution is our edge: We act fast, experiment, learn from failure, iterate, and improve the solutions of tomorrow across every aspect of our business. Our execution is agile, data-driven, prioritised, and built to scale. We assume no problem is someone else's problem and finish what can be done today, knowing tomorrow will bring fresh challenges. We succeed together: The best outcomes are driven by empathic, humble, and diverse subject matter experts working toward shared goals. We collaborate relentlessly, challenge assumptions, give actionable feedback, and set each other up for success through empowered teams with a clear charter. We transparently take ownership of our growth, individually and as a team. We celebrate the quality of our effort, our learnings, and our collective achievements. Discover more in our Tech Blog , for an inside look into some of our exciting and ground-breaking technical projects here at Tripadvisor Group. Tripadvisor Group champions the unique identities, abilities, and experiences of all our people – employees, customers, and partners. This stems from our belief in the transformative power of travel, dining, and experiences to connect us and open doors to worlds very different from our own. Our ED&I strategy shapes how we approach our people, culture, business, and reputation. Tripadvisor Group strives to embed inclusion and belonging across all our brands. We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at AccessibleRecruiting@tripadvisor.com . If you have any additional questions about careers at Tripadvisor you can email us at recruitment@tripadvisor.com . We have all the answers!

About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the Role We are hiring a AI Platform Engineer to build the execution layer for Supabase's internal AI systems. Supabase is building an AI-native internal operating system: a common way of working across the company where AI carries a meaningful share of the operational load rather than sitting alongside it as an assistant. We are standing up a new central team to build those systems, enable the teams, and embed AI operations throughout the organization. You are the engineer on that team. The execution layer is yours. You will build the platform that actually runs agents: an event-triggered queue, a headless model-agnostic runtime, durable state so work survives a restart, a human review gate, atomic rollback, and full logging of every prompt, tool call and decision so any run can be reconstructed. You will build the evaluation layer that makes any of it trustworthy, because an agent that cannot be measured cannot be trusted with anything beyond reading. And you will build the agents themselves, across everything from executive reporting down to a layer of agents that watch the platform and improve it. This is a governance-heavy environment by design, and that is the interesting part of the problem. Agents are risk-tiered from read-only internal data through to external-facing output, with review depth, evaluation requirements and human approval scaling by tier. Some capabilities are permanently off limits: an agent may read and report, it may carry a human-authored update into a system of record once a human consents, and it may initiate contact within a strict budget, but it may never autonomously write a commitment (an owner, a due date, a status) into a shared work system. Your job is to make that structurally impossible rather than merely forbidden. You will be the only engineer on this platform. You will close open architecture decisions yourself, own the infrastructure end to end, and instrument the system so it reports its own return. What You'll Be Responsible For In this role, you'll: Ship the agent platform to production. An event-triggered queue, a headless model-agnostic runtime (choosing the runtime is an open decision you will close), durable state that survives a failed run, a human review gate, atomic rollback, and complete run logging in the warehouse. Own the evaluation layer, and switch on the gate that depends on it. Golden suites with behavioral assertions rather than intuition, judge criteria with a written rubric, safety cases that must pass on every run, and a CI gate that blocks a regression from merging. This is the precondition for every agent that does anything beyond read internal data. Build and register the agent portfolio. Reporting, drafting, linting, triage and question-answering agents across the executive, team-lead and individual-contributor layers, plus a meta layer that observes the platform and improves it. Enforce governance in code. Risk tiers the pipeline actually enforces, least-privilege credentials per agent, tool-permission gates, a decision audit log, and autonomy classes where the dangerous class has no code path rather than a warning label. Nothing runs without a registered owner, tier, tool grant and human gate. Design how the system contacts people. A hard interruption budget per person, message bundling instead of a stream of pings, and a structure that gives something useful before it asks for anything. Adoption depends on this more than on any other single design choice. Own the platform tooling. The compiler and validator, inventory integrity, and the paths that distribute context and capabilities into the repositories and chat surfaces where work happens. Compute the operating measures from production data. A pipeline from raw system activity through to a computed maturity grade per team, defensible enough that a team can dispute the result and be answered with the query rather than an opinion. Instrument the platform's own return. A ledger that logs the work each agent absorbs and computes the monthly figure, so the value of the system is a measurement rather than a claim. How You'll Think Recursive Thinking You build the generator, not the artifact. When you need thirty agents, you do not write thirty agents; you build the inventory, the compiler and the distribution path that makes the thirty-first cost an afternoon, then a meta layer whose job is to watch the platform, find its drift and file the fix. The evaluation layer is the same move applied to trust. You are not checking whether one agent is correct today. You are building the machine that decides whether every future agent is allowed to ship, which means the suite has to be right in a way the agent does not, and the thing that grades has to be graded too. Inversion Thinking You start from the failure and work backward to the design. The rule is that an agent may never autonomously write a commitment into a shared work system. The weak implementation is an instruction in a prompt. The strong one is that the credential in the agent's tool grant physically cannot set an owner, a due date or a status, so no amount of clever input, prompt injection or model error produces the forbidden write. You reach for the second one first. Same for evaluation. Before writing a suite you enumerate how the agent can be wrong: an update that invents progress that did not happen, one that quotes a private channel into a public digest, one that is accurate and reads as an accusation, one that credits the wrong person. Then the suite is that list, each case caught before the agent ships rather than after it embarrasses someone. AI-Native Execution You use agentic tools on real work, in files and repositories, with the same rigor you apply to anything else you ship. You have a setup of your own and can describe it mechanically: what triggers it, what it is allowed to touch, where the human approves, what it logs, and how you found out the one time it went wrong. That experience is this job, generalized. You are building for async engineers across 40+ countries who will judge the platform by whether it saves them an hour or costs them one, so you are your own first user and your own harshest reviewer. You Might Be a Good Fit If You Must Have Have shipped production LLM agent systems that other people depended on. Not demos, not internal showcases. Systems with operational history, real users and at least one incident you can talk through. Prompt engineering on its own does not clear this bar. Design evaluations, not spot checks. You build golden sets, write behavioral assertions, define judge rubrics, set pass thresholds and gate CI on the result. You can explain why "we reviewed a bunch of outputs and they looked good" is not evaluation. Have done deep API work against the systems work actually lives in , and have authored MCP servers. You know the specific failure modes of those APIs, not just that they exist. Own infrastructure end to end in Python on GCP, with a cloud warehouse and infrastructure as code. You provision, deploy, monitor and roll back your own systems, and you close architecture decisions rather than routing them onward. Have taste about how software contacts humans. You treat every notification as spending a limited amount of trust. Strong Signal Public work in this space. An open-source agent framework, an MCP server, an evaluation harness, or writing on agent reliability that other practitioners cite. LLM observability and cost instrumentation. Tracing agent runs, attributing spend per run, and building the queries that turn raw logs into a report someone acts on. You have built an internal platform that non-engineers adopted voluntarily , and can describe what you changed after watching them use it. What Success Looks Like The platform is boring. Agents run on a schedule and on events, state survives restarts, failed runs roll back cleanly, and every run can be reconstructed from its log. Nothing ships unevaluated. Every registered agent has a real suite with safety cases, the gate blocks regressions, and when someone challenges an output the answer is a test case rather than an argument. The dangerous action is impossible, not discouraged. An audit of any agent's credentials shows it cannot perform the writes it is not allowed to perform, and the audit log makes every consequential decision traceable. Teams pull the platform instead of being pushed. Agents get adopted because the reports are useful and the contact is rare and well-timed, and each team ends up with at least one workflow that runs automatically. The platform reports its own value. The work absorbed is measured and published, so the case for expanding it is made with data rather than enthusiasm. What We Offer Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we're building together. Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family's health are important to us. Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It's a highlight of our year. Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. About the Team Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. ~400 team members 60+ countries 20+ languages spoken Over $1B raised (including our $500M Series F) 540,000+ community members We move fast, build in public, and use what we ship. If it's in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

What do we do? Paddle offers digital product companies a completely different approach to their payment infrastructure. Instead of assembling and maintaining a complex stack of payments-related apps and services, we're a Merchant of Record for our customers. That means we take away 100% of the pain of payment fragmentation. It's faster, safer, cheaper, and, above all, way better. We're backed by investors including KKR, FTV Capital, Kindred, Notion, and 83North and serve over 10,000 software sellers in 245 territories globally. The Role: We are seeking a Senior Analytics Engineer to drive significant business impact by shaping our data infrastructure, developing robust data models, and promoting best practices in analytics engineering (e.g., data quality, documentation, and scalable data architectures). You will collaborate closely with business stakeholders to identify and deliver high-value data solutions and provide informal mentorship to junior team members, fostering their growth and enhancing team capabilities. What you'll do: Create and maintain complex, scalable data models in Snowflake using dbt. Expose datasets effectively in BI tooling to enable robust self-service analytics. Perform simple data ingestion tasks using no-code tools and ensure streamlined data flows. Add comprehensive metadata to datasets, including documentation, data quality checks, and sensitive data masking. Activate data by pushing it from Snowflake into other operational tools. Proactively identify and raise data quality issues to the respective process owners for resolution. Lead training sessions and initiatives to drive adoption and effective use of BI tools across the organization. Mentor junior analytics engineers, fostering knowledge-sharing and professional growth. We'd love to hear from you if you: Extensive experience in analytics engineering or related data roles, with demonstrated expertise in advanced SQL, dbt, and Snowflake. Proficient in using BI tools (e.g. Tableau, Looker, PowerBI, Snowsight) to deliver clear, actionable insights for business stakeholders. Skilled in performing data ingestion and activation using no-code tools (e.g. Fivetran, Stitch), ensuring efficient data integration into operational systems. Knowledgeable in managing metadata, documentation, data quality checks, and sensitive data masking effectively. Effective at collaborating closely with diverse stakeholders, understanding their data needs, and delivering impactful solutions. Experienced in conducting training sessions and providing informal mentorship to junior analytics team members, fostering a collaborative and knowledge-sharing environment. Everyone is welcome at Paddle At Paddle, we're committed to removing invisible barriers, both for our customers and within our own teams. We recognise and celebrate that every Paddler is unique and we welcome every individual perspective. As an inclusive employer, we don't care if, or where, you studied, what you look like or where you're from. We're more interested in your craft, curiosity, passion for learning and what you'll add to our culture. We encourage you to apply even if you don't match every part of the job ad, especially if you're part of an underrepresented group. Please let us know if there's anything we can do to better support you through the application process and in the workplace. We will do everything we can to support any accommodations needed. We're committed to building a diverse team where everyone feels safe to be their authentic self. Let's grow together. Why you'll love working at Paddle We're a diverse, growing group of Paddlers who pride ourselves on our transparent, collaborative and respectful culture. We live and breathe our values, which are: Paddle Together - "None of us, is as smart as all of us" Paddle Simply - "Simple can be harder than complex: you have to get your thinking clean to make it simple" Paddle for others - "We can realise our wildest dreams, so long as we help enough other people to realise theirs" We offer a full suite of benefits, including attractive salaries, stock options, unlimited holidays, enhanced parental leave, retirement plans, private healthcare and well-being initiatives. We invest in learning and will help you with your personal development via constant exposure to new challenges, an annual learning fund, and regular internal and external training. Connecting at Paddle We're a 'digital-first' company , which means our Paddlers always have the freedom to choose where, when and how they work within our hub locations. We recognize that where our Paddlers do their best work is unique to them and we provide trust and autonomy for everyone to work in a way which fits them best. We also value the power of connection and have invested in global hubs which help local communities flourish and bring us together for focused collaboration. Our Paddle hubs: In Europe: UK (London headquarters), Portugal (Lisbon hub), Netherlands and Ireland (Dublin hub) In North America: Austin, TX (USA) and Toronto (Canada) Our hub philosophy creates an engaging experience for all Paddlers, wherever, whenever and however we choose to work. To support this, we focus hiring within our hubs and will always openly share the available locations for each open position on our job description.

Senior Data Scientist [Data] • [Vancouver, BC]   We're looking for a Senior Data Scientist to help define Asana's growth strategy as users increasingly discover and adopt software through LLM interfaces like ChatGPT, Claude, and Gemini. With millions of knowledge workers now starting their workday in conversational AI tools, we're at an inflection point in how productivity software reaches users. As part of the AI organization within Asana you'll leverage data to influence how we should build our agentic work management products.    Asana's Data Science team helps us fulfill our mission by informing strategy, defining success metrics, and identifying new ways to deliver user value. Data scientists are at the crux of deepening our understanding of the customers and driving more business outcomes by leveraging experimentation, causal inference, statistical and machine learning techniques, and data storytelling.   This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you'll achieve   Work closely with Product Managers, User Researchers (UXR), and Engineers to understand the needs of our agentic work management customers, employing data frameworks and methodologies to understand our user segments and identify levers for driving user engagement Act as the data lead for specific AI features at Asana with product and engineering Use data analysis and data storytelling to identify key product opportunities for the roadmap Design experiments that measure product progress, and own key performance metrics. Collaborate with fellow Data Scientists in the team to research, identify and disseminate best practices across teams Work in a high-performance, dynamic team with a strong focus on velocity and software quality and learn about the upcoming field of AI-Optimization and how LLMs can help boost Asana's value proposition. About you 4-6 years of data science experience, with majority in growth-focused roles at B2B SaaS companies 0→1 builder mentality. You've demonstrated the ability to thrive independently in ambiguous environments where you're inventing new playbooks rather than executing existing one Exceptional cross-functional leadership. You write crisply, tell clear stories, and can influence across product,engineering, design, partnerships, sales, and executive stakeholders. You bring clarity to ambiguity. Experience with AI/ML products, LLM APIs, or third-party platform integrations. Strong preference for candidates who've worked with conversational AI or built features integrating ChatGPT, Claude, or similar platforms. Strong analytical foundation with deep fluency in experimentation, A/B testing, pipeline management Strategic business acumen to balance user experience with revenue objectives while translating emerging technology trends into actionable product strategy. Genuine AI enthusiasm. You're curious, adaptable, and genuinely excited about how LLMs are transforming software discovery and adoption.  Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making Expert in relational data modeling and SQL and fluent in at least one modern language useful for data processing (e.g. R, Python, or Scala). Familiarity with statistical methods including experimental design, regression, causal inference   At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we'll offer   Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.   For this role, the estimated base salary range is between CAD 176,000-200,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.   In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.   We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:   Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.   #LI-Hybrid About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law.   About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana's Talent Network  to stay up to date on job opportunities and life at Asana.

Fastly helps people stay better connected with the things they love. Fastly's edge cloud platform enables customers to create great digital experiences quickly, securely, and reliably by processing, serving, and securing our customers' applications as close to their end-users as possible — at the edge of the Internet. The platform is designed to take advantage of the modern internet, to be programmable, and to support agile software development. Fastly's customers include many of the world's most prominent companies, including GitHub, Yelp, Paramount, and JetBlue. We're building a more trustworthy Internet. Come join us. Threat Detection Analyst - (Japanese speaking desirable) Fastly is seeking a Threat Detection Analyst to join our dedicated Customer Security Operations Centre. In this role, you will be a frontline defender for Fastly's global enterprise customers. You will leverage our edge cloud platform and an array of security products in monitoring traffic, detect sophisticated anomalies, and deploy real-time mitigations against DDoS, Bot, and Web Application attacks. This is a high-impact role where you act as a strategic partner for our Managed Security Service (MSS) clients, providing the expert visibility and rapid response necessary to address internet-scale threats. What you'll Do : Active Incident Response: Lead the identification and mitigation of high-impact security events. You will analyze sophisticated traffic patterns and implement precise countermeasures, including rate limiting and custom WAF & Security rules to neutralize threats in real-time. Managed Security Delivery: Serve as a primary security consultant for MSS Customers. This involves continuous tuning and refining of security policies to optimize detection accuracy and maintaining a hardened security posture tailored to each client's unique environment. Advanced Threat Hunting: Conduct data-driven investigations using log analysis to uncover potential threats and hardenings opportunities Security Intelligence & Reporting: Author comprehensive After Action Reports (AARs) and monthly security summaries. You will translate complex telemetry and attack data into high-level actionable insights for customer stakeholders. Strategic Communication: Act as the Subject Matter Expert (SME) during active security incidents. You will provide clear, calm, and professional guidance via real-time communication channels, ensuring customers are informed and confident in our defensive strategy. What we are looking for : Web Security Expertise : Comprehensive understanding of the OWASP Top 10 and advanced attack vectors (e.g., Credential Stuffing, API Abuse, and Layer 7 DDoS). You can interpret raw payloads to distinguish between malicious intent and legitimate traffic. Protocol Proficiency: Deep technical knowledge of the internet stack, specifically HTTP/S, TCP/IP, DNS, and TLS. You should be comfortable analyzing handshake processes, header structures, and status codes. Analytical Rigor : A methodical approach to digital forensics and incident response. You possess the ability to correlate disparate data points within JSON or CSV logs to reconstruct an attack narrative. Communication Excellence: The ability to distill complex technical findings into concise, professional, and empathetic communications for both technical and non-technical audiences. We'll be super impressed if you have experience in any of these: Proficiency in Python or Bash for log parsing and workflow automation. Experience with Infrastructure as Code/Security as Code(SaC) (Terraform) or edge-based configurations. Industry-standard certifications such as CompTIA CySA+, GCIH, or Security+. Work Hours: This position will require you to be available during core business hours. Tuesday to Saturday : 10 am to 6 PM AEST and 11 am to 7 pm AEDT  Work Location(s) & Travel Requirements This position is a remote position based out of (locality), with the possibility of becoming a hybrid position as Fastly expands its presence in the region. This position will require travel to the US and Internationally, as required by your role or requested by your manager. Benefits: We care about you. Fastly works hard to create a positive environment for our employees, and we think your life outside of work is important too. We support our teams with great benefits that start on the first day of your employment with Fastly. Curious about our offerings? We offer a comprehensive benefits package designed to meet your needs. Our offerings may vary depending on the country where you work and are subject to change.   Why Fastly? We have a huge impact.  Fastly is a small company with a big reach. Not only do  our customers  have a tremendous user base, but we also support a growing number of  open source projects and initiatives . Outside of code, employees are encouraged to share causes close to their heart with others so we can help lend a supportive hand. We value diversity.  Growing and maintaining our inclusive and diverse team matters to us. We are committed to being a company where our employees feel comfortable bringing their authentic selves to work and have the ability to be successful -- every day. We are passionate.  Fastly is chock full of passionate people and we're not 'one size fits all'. Fastly employs authors, pilots, skiers, parents (of humans and animals), makeup geeks, coffee connoisseurs, and more. We love employees for who they are and what they are passionate about. We're always looking for humble, sharp, and creative folks to join the Fastly team. If you think you might be a fit please apply! A fully completed application and resume or CV are required when applying. All job applications must be submitted through our official careers site at www.fastly.com/about/careers . We will never request sensitive information, such as your Social Security number, bank account or credit card information during the application process. All official communication will come from an @ fastly.com or @ recruiting.fastly.com email address. Fastly is committed to ensuring equal employment opportunity and to providing employees with a safe and welcoming work environment free of discrimination and harassment. Our employment decisions are based on business needs, job requirements and individual qualifications. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, family or parental status, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Consistent with the Americans with Disabilities Act (ADA) and federal or state disability laws, Fastly will provide reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact your Recruiter, or the Fastly Employee Relations team at candidateaccommodations@fastly.com or 501-287-4901.  Fastly collects and processes personal data submitted by job applicants in accordance with our  Privacy Policy . Please see our  privacy notice for job applicants .

Company: Project X Ltd. Location: Toronto, Ontario Employment Type: Full Time Location: (Hybrid working model) Salary Range: $96,000-125,000 CAD About Project X Ltd. Project X Ltd. builds high-performing teams of talented, client-focused problem solvers who thrive on complex data challenges. Guided by our values of Care, Bravery, Excellence, and Innovation, we value people who take ownership of their work, step up when needed, and get things done. Our team members are trusted advisors who collaborate closely, think creatively, and deliver practical, high-quality solutions for our clients. We look for individuals who are curious, accountable, eager to learn, and supportive of their teammates—because at Project X, our people are what make us great. Role Summary As a Consultant, Data Science at Project X Ltd., you will be providing our clients with your knowledge and experience of making sense of messy, unstructured data. Using your computer science, statistics and mathematics expertise, you will analyze, process and model data, then interpret the results to create actionable data driven solutions for our clients. Key Responsibilities Participate in the requirements gathering, analysis, project plans, and solutions design. Work with internal and external stakeholders to identify opportunities for leveraging company data to drive business solutions. Feature engineering, selection and optimization models with ML techniques. Improve data collection procedures and pipelines. Perform data profiling and exploration to ensure the integrity of data. Productionalize data models with feedback loop to automate the refinement process for deployed models over time. Participate in the development of project plans to establish appropriate workload expectations and schedules. Maintain up-to-date knowledge of, and adopt relevant market trends and practices. What We're Looking For – Required Qualifications 3-5 years of hands-on experience as a Data Scientist Proficiency in Python and SQL, with experience in data wrangling, statistical analysis, and model development Hands-on experience with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch Familiarity with LLMs, prompt engineering, and AI application development using APIs (e.g. OpenAI, Anthropic, or similar) Experience building and deploying data pipelines and ML workflows in cloud environments; Snowflake experience is a strong asset Exposure to Snowflake Cortex AI features (e.g. Cortex LLM functions, Cortex Search, or Cortex Analyst) is considered a plus Strong understanding of vector databases, embeddings, and retrieval-augmented generation (RAG) patterns Ability to translate complex model outputs into clear business insights for non-technical stakeholders Comfort working in agentic and multi-agent system design is considered an advantage Nice to Have Experience with testing automation is an asset. Use of Artificial Intelligence in Recruitment Project X may use automated or AI-enabled tools as part of the recruitment and selection process. These tools may support activities such as resume screening, candidate matching, or application management. All hiring decisions involve human review and judgment. Employment Equity, Accessibility & Accommodations Project X is committed to fostering an inclusive, accessible workplace. Accommodations are available upon request in accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code. Privacy Notice Personal information collected during

Why Work at Keller Construction Ltd.? At Keller, our people are our greatest strength. Joining us means being part of a company that values teamwork, innovation, and growth. We create a supportive environment where employees are empowered to excel and leave a lasting impact. Why Choose Keller? Grow With Us: We invest in your future through training, mentorship, and advancement opportunities. Pride in Excellence: Be part of a team where your work upholds a legacy of quality and integrity. Inclusive Culture: We embrace diversity and value every team member?s unique perspective. Work-Life Balance: Enjoy benefits and flexibility that support both your career and personal life. Safety Always: Your safety is our top priority, with the tools and resources to work confidently every day. At Keller, you?re not just building projects?you?re building a career. If you?re ready to be part of a team that values hard work, innovation, and teamwork, Keller is the place for you. Together, we build spaces, opportunities, and rewarding futures. The Project Manager is responsible for growing the revenue and profit of the organization via full cycle project management. Leading commercial projects from implementation to completion, ensuring that they are completed safely, on time, and within budget according to the contract, specifications, and scope of work. This role is a critical contributor to the success of the organization and works closely with the project team and stakeholders. The Project Manager ensures delivery and maintenance of excellent relations with clients and subcontractors. Responsibilities Responsible to complete projects on, or ahead of schedule and ensure project profitability Manage and organize daily operations, prepare construction schedules and monitor progress Develop and maintain project schedule Prepare detailed job cost and accurate forecasting reports Oversee subcontractors and suppliers Prepare and submit construction project budget estimates, contracts, change orders, RFI?s Process progress billings Oversee change management process Manage procurement process/buyouts Reconcile and ensure the final release of payments Procore management (i.e., project docs) Review plans and specifications for constructability and relate challenges Build and maintain excellent direct relationships with owners and associated trade contractors and suppliers Interpret and manage contractual obligations Lead meetings with trade subcontractors and superintendents to discuss progress, obstacles, and solutions and hold the parties accountable for results Establish and support deficiency review process Support superintendent to achieve occupancy permit Understand provincial legislation regarding liens and holdbacks Implement policies and procedures for quality control with a focus on continuous improvement Finalize project closeout Conduct post-project review with internal staff and stakeholders Monitor cash allowances and contingencies Experience and Qualifications: Minimum of 7 years of proven history of increasing scale Project Management experience in the commercial and multifamily construction industry with profitable, consistent results Proven, repeated, experience managing projects in the $2-20M range A desire to mentor and grow junior team members Demonstrable knowledge of safety procedures and ability to implement onsite Experience in reading and interpreting contract requirements Exceptional computer skills and strong experience with relevant scheduling, planning and cost control software Post-Secondary education in a relevant discipline About Keller Construction Ltd. For over 60 years, Keller Construction Ltd. has been a trusted leader in commercial construction across Western Canada. We?re known for delivering quality, innovation, and reliability, creating spaces that bring our clients? visions to life. From retail and office spaces to