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Location: Cyprus; Bulgaria; Poland; Russia; Dubai, United Arab Emirates; Georgia Job Description (JD) Job Title Head of Analytics – Global Multi-Product Broker Location Limassol, Cyprus (Hybrid) or Remote (UTC−1 to UTC+4) Reporting To Chief Marketing Officer (CMO) About the Role We are seeking an experienced Head of Analytics to establish and lead our analytics function from the ground up. This is a unique opportunity to define the company's data strategy, build the analytics architecture, and create the foundations for data-driven decision-making across a rapidly growing multi-product brokerage business. Operating across CFDs, cryptocurrency, proprietary trading, and prediction markets, the business has reached significant scale without a centralized analytics function. As the first Head of Analytics, you will have full ownership of building the data ecosystem, defining business metrics, implementing attribution models, and establishing analytics best practices that will shape the organization for years to come. Key Responsibilities Analytics Strategy & Leadership Build and lead the company's first centralized analytics function. Define the long-term analytics vision, roadmap, and operating model. Establish data governance standards, metric definitions, and reporting frameworks. Partner with executive leadership to enable data-driven strategic decisions. Direct and mentor embedded analysts across multiple business functions. Data Infrastructure & Architecture Design and implement the end-to-end analytics technology stack. Select and deploy data warehousing, transformation, visualization, and reporting solutions. Build scalable analytics infrastructure to support multiple financial products. Develop a canonical data model across the organization. Ensure data quality, consistency, accessibility, and governance. Marketing & Attribution Analytics Design and implement multi-touch attribution across: Paid Search Paid Social Affiliate Marketing Mobile Acquisition Partner Programs Build unified customer journey tracking from first interaction through trading activity. Deliver accurate ROI and customer acquisition insights across all marketing channels. Establish standardized marketing performance metrics. Business Intelligence & Performance Reporting Develop real-time executive dashboards and KPI reporting. Create a single source of truth for business-critical metrics. Build reporting frameworks across CFDs, Crypto, Prop Trading, and Prediction Markets. Translate complex analytical findings into actionable business recommendations. Experimentation & Decision Science Establish a company-wide hypothesis testing and experimentation framework. Design and evaluate A/B tests and controlled experiments. Ensure business decisions are supported by statistically sound analysis. Champion a culture of evidence-based decision making. Stakeholder Management Collaborate closely with Marketing, Product, Technology, Operations, and Commercial teams. Resolve cross-functional alignment on data definitions and reporting standards. Present analytical insights to senior leadership and executive stakeholders. Team Building Lead, coach, and develop embedded analysts. Design the future analytics team structure. Recruit and onboard analytics talent aligned with company culture and business goals. Key Deliverables (First 12 Months) Months 1–6 Build the analytics infrastructure and technology stack. Implement event tracking across all customer touchpoints. Deploy centralized data warehouse and transformation pipelines. Launch UUID-based attribution across all marketing channels. Establish data governance framework and documentation. Months 6–9 Develop and implement the organization's canonical data model. Standardize definitions for key business entities and KPIs. Align stakeholders around consistent business metrics. Months 9–12 Deliver real-time KPI dashboards across all business lines. Launch experimentation and hypothesis testing framework. Enable marketing and product teams to make data-driven decisions. Begin scaling the analytics organization through strategic hiring. Requirements Required Qualifications Bachelor's degree in Analytics, Data Science, Computer Science, Mathematics, Statistics, Economics, Engineering, or a related field. Master's degree is advantageous. Experience Required Significant experience in Analytics, Business Intelligence, or Data Leadership roles. Experience building an analytics function from the ground up. Strong background in financial services, brokerage, fintech, cryptocurrency, trading platforms, or similar digital businesses. Demonstrated experience implementing multi-touch attribution models. Proven success designing analytics architecture and selecting technology stacks. Experience leading cross-functional analytics initiatives. Experience managing or mentoring analytics professionals. Technical Skills Data Warehousing ETL/ELT Architecture SQL Python or R Business Intelligence tools (Power BI, Tableau, Looker, etc.) Marketing Attribution Platforms Event Tracking Frameworks Data Modeling Dashboard Development Statistical Analysis Experiment Design (A/B Testing) Data Governance Core Competencies Strategic Thinking Analytical Problem Solving Leadership & Team Development Stakeholder Management Business Acumen Communication & Influencing Skills Decision Making Change Management Project Ownership Innovation Mindset Success Profile The ideal candidate has: Built multi-touch attribution across paid, organic, and partner marketing channels. Designed analytics architecture from a greenfield environment. Experience within CFD, crypto, brokerage, fintech, or adjacent financial services. Successfully aligned stakeholders around standardized data definitions. Driven experimentation and evidence-based decision-making. Demonstrated confidence in challenging assumptions with data. A builder mindset who views the absence of existing infrastructure as an opportunity. Benefits Why Join Us Build the analytics function from the ground up with full ownership. Define the company's data architecture, governance, and reporting standards. Shape the future of analytics across multiple global trading products. Influence executive decision-making at the highest level. Build and lead a high-performing analytics team. Opportunity to make a lasting impact on a fast-growing global organization.

Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. Sierra’s Applied Research team advances the quality, speed, and cost efficiency of the models powering our agents across a wide range of tasks. Our work spans post-training open-weight models for specialized capabilities and pioneering new approaches to voice AI, turning research breakthroughs into reliable production systems. WHAT YOU’LL DO - Tackle unsolved applied AI and ML problems. Pushing the boundaries of post-training, voice AI, and long-horizon task execution, building agents that can reason, adapt, and reliably carry out complex tasks for customers. - Determine when to build specialized models and when to use externally provided frontier intelligence, balancing quality, speed, and cost to deliver customer value. - Turn ambiguous product and customer problems into well-framed machine learning problems. - Develop, fine-tune, evaluate, and deploy models that improve Sierra’s customer-facing AI agents. - Advance our post-training work, from supervised fine-tuning toward reinforcement learning and long-horizon optimization. - Build rigorous evaluations that connect model performance to real-world agent quality. - Work with large-scale, proprietary datasets spanning text and audio interactions. - Collaborate across Sierra while taking ideas from experimentation through production deployment and customer impact. WHAT YOU’LL BRING - Strong experience building and deploying production machine learning and AI systems. We welcome backgrounds across applied ML, including search, ranking, recommendations, advertising, language, and speech. - Excellent judgment in framing product problems as ML tasks and selecting the simplest & most effective approach. - Experience working deeply with data, experimentation, evaluation, and model iteration. - A practical, evidence-driven approach to ML, with strong judgement around when a problem calls for modeling and when a simpler solution will deliver the best outcome. - The ability to operate with high agency and work across the stack when needed to deliver an outcome. - Alignment with Sierra’s values, including Craftsmanship, Customer Obsession, and Competitive Intensity. - A degree in computer science, machine learning, or a related field, or equivalent professional experience. EVEN BETTER… - Experience with supervised fine-tuning or reinforcement learning. - Experience in search, ranking, recommendations, or advertising systems. - Experience training and deploying language, speech, or multimodal models. - Experience designing model evaluations tied to real-world product outcomes. - Experience working with large-scale consumer datasets or high-volume ML products. - Contributions to applied ML research or benchmarks. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. ABOUT THE ROLE Sierra’s AI agents depend on foundation models to reason and act in real time. The Inference team builds the systems that make those models fast, reliable, and efficient at scale. As a Software Engineer on Inference, you’ll help define Sierra’s inference architecture across both self-hosted models and third-party inference providers. You’ll work on the systems responsible for serving and routing inference, managing capacity and quota, and optimizing for latency, reliability, and cost. This is a systems-first role at the intersection of distributed infrastructure and AI. You don’t need to be an ML researcher—we’re looking for engineers who love complex systems problems and are excited to apply that expertise to one of the fastest-moving areas of AI infrastructure. WHAT YOU'LL DO - Partner with frontier labs and providers. At our scale, we rely on frontier labs, and inference providers to supply capacity, training and inference infrastructure. - Shape Sierra’s inference architecture. Design how inference traffic flows across models, infrastructure, and providers, including new serving and proxy layers as Sierra scales. - Build for low latency and high reliability. Develop systems for routing, failover, capacity management, and quota that keep inference performant and available across large-scale production workloads. - Build and operate self-hosted inference. Run models on GPU infrastructure, from building containers and operating inference engines to managing the underlying compute capacity. - Optimize inference performance. Work with the Applied Research team on techniques such as speculative decoding and serving-engine optimizations that improve latency, throughput, and cost. - Build across a hybrid inference stack. Work with both Sierra-managed infrastructure and leading inference platforms, making architectural decisions about where and how workloads should run. - Push the serving stack forward. Work closely with inference providers to tune engines and infrastructure for Sierra’s workloads. - Support the broader model lifecycle. Contribute to infrastructure that enables post-training while partnering closely with our Models and Agent Runtime teams. WHAT YOU'LL BRING - Deep systems thinking and strong distributed systems fundamentals. - Experience designing, building, and operating large-scale production systems. - Strong judgment around tradeoffs involving latency, reliability, capacity, and cost. - Experience taking ownership of complex infrastructure from architecture through production operation. - Excitement about applying systems expertise to AI infrastructure and learning quickly as the underlying technology evolves. EVEN BETTER - Experience with ML infrastructure, MLOps, or production inference systems. - Experience serving LLMs or other large models at scale. - Experience operating self-hosted inference and GPU infrastructure. - Familiarity with inference frameworks such as vLLM or SGLang. - Experience with post-training infrastructure or inference-performance optimization. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: Remote Canada; Toronto, Ontario Workplace: Remote Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. THE ADVENTURE AHEAD This is a partner marketing role built for pipeline. You'll turn a small number of high-potential partnerships (think AWS, Deloitte, and Carahsoft) into real, measurable revenue channels. You'll also be our enterprise marketing lead for regulated industries, specifically life sciences and government, where trust, compliance, and the right partner relationships decide who wins. The objective is clear, but the playbook is yours to define. Some weeks you'll build an account plan with an AWS demand gen partner. Other weeks you'll plan a field event for healthcare or federal buyers, or work with sales on a named account list. The goal is to leverage partner channels to generate Enterprise, public sector and life sciences pipeline. 🗓️ THE DAY-TO-DAY Partner Marketing That Generates Pipeline (the core of the job) - Run joint programs with a small number of select partners (AWS, Deloitte, Carahsoft, and others as we prove what works) that move Enterprise and Gov pipeline. - Make AWS work harder. Partner with our AWS demand gen resource by supplying what's been missing: target account selection, strong assets, account intelligence, seller engagement, tracking, and a packaged pitch AWS sellers can use. - Use partner relationships to open doors at named ABM accounts, through formal partner workflows and one-off introductions, and build a repeatable process around both. - Work closely with the Partnerships team on joint planning, co-funded activity, and accountability on timelines and lead commitments. - Own partner-sourced and partner-influenced attribution with RevOps so we know what's working and where to invest. Field Events - Plan and run field events that put us in front of enterprise buyers, including Supper Clubs and partner co-hosted dinners, roundtables, and executive gatherings. - Work with partners to co-fund and co-host events, with registrant targets and clear roles agreed up front. - Partner with AEs, BDRs, and partner managers before and after every event so meetings, follow-up, and pipeline actually happen. - Support our presence at industry events (for example, HR Tech, Unleash, DevLearn, and GovLoop) and turn them into pipeline. Regulated Industries: Healthcare and Government - Own the enterprise marketing approach for healthcare and public-sector buyers, where long cycles, compliance requirements, and buying committees shape everything. - Build account-based programs for healthcare systems and government agencies using intent data and buying signals. - Support federal campaigns alongside product marketing and the gov sales team: content syndication, event execution, targeted account lists, and partner-led plays (such as Carahsoft). - Develop messaging and programs that speak to the real concerns of regulated buyers, like security, compliance, procurement paths, and contract vehicles. Account-Based Execution and Sales Partnership - Build account-based programs that reach full buying committees, including expansion into new teams inside existing accounts. - Partner with enterprise AMs, AEs, and BDRs through structured cadences on targeting, messaging, and pipeline reviews. Measurement & Iteration - Use AI to scale what works. - Measure everything: pipeline created, influenced, and accelerated, with clear attribution across new business, expansion, and partner-sourced. - If something isn't working, whether a channel, an event, or a partner, you say so and change course. No sunk-cost loyalty. 💪 YOUR SUPERPOWERS - Pipeline-obsessed marketer: 4–6 years of B2B SaaS marketing experience, with at least 1–2 years targeting enterprise buyers (5,000+ employees). You've driven measurable pipeline and revenue, not just lead volume. - Partner builder: You've made partnerships produce pipeline, not just co-branded content. You know how to get a partner's sellers to care about your accounts. - Field event operator: You've planned and executed events that turned into meetings and opportunities, and you know how to get sales and partners in the room. - Buying-committee thinker: You're fluent in intent data, buying signals, and account engagement, and you use them to decide where to focus. - Sales trust-builder: You win as a team with sales, through in-the-weeds collaboration and shared accountability. - Ruthless about scope: You orient around what gets results and can stay focused on a few partners and programs without losing sight of the goal. - "I can figure this out" mindset toward tools: UserGems, Influ2, ReachDesk, HubSpot, Salesforce, Outreach, Claude. Bonus points if you've used some, but curiosity matters more than a checklist. - Active AI practitioner: You're already applying AI anywhere and everywhere. 🎁 BONUS POINTS - Experience marketing to healthcare, government, or other regulated or public-sector buyers. - Experience with hyperscalers (AWS, Google Cloud, Azure), co-sell, or global systems-integrator partnerships (Deloitte-style) where you made the relationship produce pipeline. - Experience with government channel partners or reseller/contract vehicle models (Carahsoft-style). - Familiarity with compliance and procurement considerations in healthcare or federal sales. - Experience in learning, HR tech, or skills-focused technology. OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing. OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul. OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long. ABOUT DOCEBO 💙 At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world. Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law. As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities. Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.

Location: Remote Canada Workplace: Remote Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. Docebo is a hybrid workplace, with employees expected to work 3 days per week from our offices. However, due to the niche skill set required for this role, we are opening this position to remote candidates as an exception to our standard workplace policy. 🌟 THE ADVENTURE AHEAD At Docebo, we win in the enterprise segment by knowing our customers and running programs that generate real pipeline — full stop. This role exists for one reason: more enterprise pipeline, by any means possible. Not "this channel." Not "the approved playbook." Just whatever moves Enterprise accounts closer to a deal. You’ll deploy strategic campaigns and activations to ensure our existing accounts expand. If you find yourself protecting a channel instead of the outcome, you're doing it wrong. The objective is clear; however, the playbook to get there is yours to define. You'll run upsell and cross-sell programs, you'll make an underperforming enterprise partner a revenue generating channel, and you'll support some Enterprise federal focused activities. Every week or day will look a little bit different, but the goal and focus areas remain the same. 🗓️ THE DAY-TO-DAY PIPELINE GENERATION (THE CORE OF THE JOB) - Drive net-new enterprise pipeline through multi-channel programs — partner marketing, ABM, digital, field events, direct mail, coordinated outbound, or whatever works. The channel is secondary. The pipeline is the point. - Build account-based programs using intent data and buying signals to prioritize in-market accounts and reach full buying committees, not just ad hoc contacts. - Partner with enterprise AMs, AEs and BDRs through structured cadences on targeting, messaging, and pipeline reviews. You build trust and collaboration with the sales team. ENTERPRISE EXPANSION — CROSS-SELL / UPSELL (YOU OWN THIS) - Own the enterprise cross-sell and upsell motion: identify new buying groups inside existing accounts, get in front of the teams not yet using Docebo, and help accelerate in-flight expansion opportunities. FEDERAL / GOVERNMENT SUPPORT - Support enterprise federal campaigns. This includes content syndication, event execution, targeted account lists, and campaign support alongside product marketing and the broader gov motion. This is a support function within your book of work, not a standalone track. ENTERPRISE PARTNER MARKETING - Run partner campaigns with a small number of select partners that move ENT/Gov pipeline (think Deloitte, AWS, Carahsoft) — joint programs and co-hosted events. If it generates measurable, Enterprise pipeline, it’s in scope. MEASUREMENT & ITERATION - Using AI to scale what works. - Measure everything — pipeline created, influenced, and accelerated, with clear attribution across new business, expansion, and partner-sourced. - If something isn't working, you say so and change course. No sunk-cost loyalty to a channel or a partner. 💪 YOUR SUPERPOWERS - Pipeline-obsessed generalist: 3–4 years of B2B SaaS marketing experience, at least 1 year with enterprise buyers (5,000+ employees). You've driven measurable pipeline and revenue across new business, expansion, and cross-sell — not just lead volume. - Buying-committee thinker: Fluency in intent data, buying signals, and account engagement scoring informs how you prioritize and what you build. - Sales trust-builder: You understand you win as a team with sales — in-the-weeds collaboration, pipeline reviews, and shared accountability, not just campaign reporting. - Ruthless about scope: You orient around what gets results, full-stop. You can hold a lever without losing sight of the end goal. - "I can figure this out" mindset toward tools: UserGems, UserLed, Influ2, ReachDesk, HubSpot, Salesforce, Claude, Outreach — bonus points if you've used some of them, but curiosity and aptitude matters more than a checklist match. - Active AI practitioner: you're already applying AI anywhere and everywhere. 🎁 BONUS POINTS - Experience running or collaborating on field events as part of an enterprise GTM motion. - Experience targeting government or public-sector accounts. - Exposure to AWS Marketplace or systems-integrator partnerships (Deloitte-style relationships) — specifically where you've made the partnership produce pipeline, not just co-branded content. OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing. OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul. OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long. ABOUT DOCEBO 💙 At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world. Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law. As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities. Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the team Secure Frameworks is the team in Anthropic's Security Engineering org that builds shared security libraries and frameworks the rest of the company builds on. We collaborate closely with teams and leaders across Anthropic to own critical security foundations, including workload identity and authorization, cryptographic frameworks, and the centralized access proxy that  secures traffic to internal applications. Our mission is to make the secure thing easy and the easy thing secure by helping Anthropic engineers get secure behaviour by default and preventing entire classes of vulnerabilities through careful design. We own what we ship, help customers adopt better security practices and at times we work embedded directly in research, infrastructure or product teams. About the role You will design, build and run security foundations used across Anthropic's fleet, from threat model through production, on-call and adoption. Much of the work is greenfield: our infrastructure is growing quickly and the timelines are compressed, so you will help define the architecture rather than inherit it. Depending on your strengths you will focus on one or two of the areas below and contribute across the rest. Build critical security foundations including cryptographic frameworks, mTLS infrastructure, secure serialization, and authorization systems, designed to prevent entire classes of vulnerabilities Partner with product, research, infrastructure, and other security teams to ensure frameworks integrate smoothly with lower-layer security controls Scope, design and build security services and libraries end-to-end, maintain them in production, and drive through ambiguous technical problems with minimal oversight Build and operate the zero-trust access gateway that fronts Anthropic's internal services Design and roll out authorization frameworks so services enforce least privilege consistently instead of each inventing its own access controls Own cryptographic frameworks and libraries Mentor engineers, contribute to hiring, and grow security engineering culture across Anthropic Minimum qualifications 8+ years of software engineering experience building security-relevant systems in production, including leading complex initiatives independently Strong programming skills in Go, Rust or Python Deep understanding of authentication and authorization systems: OAuth 2.0 / OIDC, JWTs, service-to-service auth, policy-based access control Hands-on experience with PKI, X.509, mTLS and workload identity Working knowledge of applied cryptography: choosing and composing primitives correctly, key management, and the ways libraries fail in practice Experience shipping and operating high-reliability services on Kubernetes across cloud and on-prem environments, including being on call for them A track record of bringing clarity and ownership to ambiguous technical problems and driving them to resolution across teams A strong sense of developer experience Clear communication across all levels of the organization Passion for AI safety and the role security engineering plays in building trustworthy AI systems Preferred qualifications Built security frameworks or libraries adopted across an engineering organization, and done the work to drive that adoption Built or operated a zero-trust / BeyondCorp-style access gateway or identity-aware proxy Migrated a fleet to mTLS at scale, including certificate issuance and staged enforcement Maintained or contributed to open-source cryptographic libraries Designed authorization systems using policy languages or relationship-based models Familiarity with ML infrastructure (training, inference serving) The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $32,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United Kingdom Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We're looking for a Finance Data Scientist to join our central Data team as the first dedicated analytics partner to Finance. You'll turn billing, revenue and forecasting data into audit-ready numbers, and the analysis that shapes pricing and planning decisions as we scale towards IPO. - Own finance-facing analysis: revenue and ARR reconciliation, cohort and retention economics, pricing and packaging experiments. - Partner with Analytics Engineering on the certified finance KPI layer (ARR, billing, revenue), and be the first to catch when a number is quietly wrong. - Build forecasting and scenario models that FP&A uses directly in planning and board reporting. - Translate ambiguous finance questions from FP&A, RevOps and leadership into clear, reusable analysis. REQUIREMENTS Demonstrated experience as a data scientist or analyst embedded with a Finance / FP&A function, ideally at a growth-stage or pre-IPO company. - Strong SQL and Python, with comfort reconciling data across Stripe, Salesforce and a dbt-modelled warehouse. - Finance fluency: ARR, billing, revenue recognition, cohort economics — you can speak FP&A's language. - Rigour around data quality: you reconcile by default and can explain a variance, not just report it. - Strong stakeholder management with Finance leadership, and the ability to push back on ambiguous asks. BONUS - Experience preparing finance data for audit, SOX or IPO readiness. - Experience with pricing / packaging experimentation or revenue forecasting at a subscription or usage-based business. - Experience with dbt or a modern warehouse (BigQuery), partnering directly with analytics engineers. GROWTH POTENTIAL We believe in hiring the best talent in the world to make an impact in the right role at the right time. At ElevenLabs, strong performance creates opportunities for growth. Here are some of the career paths you can expect after excelling in this role: - Grow into a Lead Finance Data Scientist role as the central Data team scales. - Expand scope into broader strategic finance or RevOps analytics. - Path into a Head of FP&A Analytics or data leadership track. LOCATION This role is remote-first, so it can be executed from anywhere in Europe or the US East Coast, with the ability to operate in CET / ET timezones required. If you prefer, you can work from our offices in London, Warsaw, Dublin or New York. #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: United States Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. We’re looking for a Senior Technical SEO Analyst to improve the technical foundations that help 1Password.com http://1Password.com attract qualified audiences, support conversion, and build category authority across consumer, product-led growth (PLG), and enterprise experiences. This is a hands-on individual contributor role for someone who moves beyond audits to diagnose root causes, recommend practical solutions, implement changes, and partner with Web Engineering when improvements require code or platform development. Reporting to the Senior Manager, SEO and GEO. On the Marketing team, we’re growing our AI capability together and redesigning how work gets done. We’ve built agents to improve workflows focused on competitive intelligence, content creation, and campaign planning, helping us stay sharp, reduce context-switching, and surface the right information at the right time. AI helps us coordinate, execute, and uncover insights fasterso we can spend more time on what’s most important: performance, judgement, and driving the future of 1Password. This is a remote opportunity the US. What we're looking for: • 4+ years of hands-on technical SEO experience on a complex software as a service (SaaS), enterprise, international, or multi-audience website. • Strong knowledge of crawling, indexing, rendering, canonicals, redirects, sitemaps, robots directives, structured data, JavaScript SEO, Core Web Vitals, internal linking, and international SEO. • Experience moving from technical diagnosis to implementation through content management system (CMS) changes, engineering requirements, release quality assurance (QA), and measurement. • Experience with an enterprise or headless CMS, including content models, publishing workflows, governance, and data quality. • Experience supporting a domain, CMS, platform, or acquired-site migration. • Strong analytical judgment and working knowledge of Hypertext Markup Language (HTML), Cascading Style Sheets (CSS), JavaScript, crawl tools, Google Search Console, web analytics, and monitoring systems. • Clear communication and cross-functional project leadership, including the judgment to make day-to-day decisions independently and bring forward recommendations on broader decisions. Experience with Contentful, Vercel, Next.js, GitHub, GitLab, server-log analysis, observability, automated testing, workflow automation, cybersecurity, developer products, or a global website serving both business and consumer audiences is a plus. What you can expect: • Monitor and improve crawlability, indexation, rendering, site performance, structured data, internal linking, and international SEO. • Diagnose complex technical issues and recommend priorities based on impact, effort, risk, dependencies, and business goals. • Implement changes in the CMS and partner with Web Engineering on technical SEO requirements, acceptance criteria, and release QA. • Lead defined technical SEO workstreams for migrations and major site changes, including redirect planning, launch monitoring, and post-launch remediation. • Maintain agreed taxonomy, structured-content, internal-linking, and data-quality systems that support scalable content discovery. • Build monitoring, dashboards, alerts, and repeatable processes using crawl, search, analytics, log, and CMS data. • Use artificial intelligence (AI), scripts, application programming interfaces (APIs), and automation to scale technical analysis, quality assurance, and repeatable fixes with appropriate human oversight. USA-based roles only: The annual base salary for this role is between $88,000 USD and $123,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: London, United Kingdom; Zurich, Switzerland; Paris, France Workplace: Hybrid About Ledger We’re a team of experts pushing the limits of what’s possible, united by our common goal to unlock true freedom through digital ownership, making technology accessible for all. We believe in a world where users, creators and enterprises manage their value with ownership and freedom. Our curiosity drives us to innovate, empowering individuals on a global scale. We believe change is constant and our team moves forward as one, with a culture of problem-solving where every employee is empowered and supported to challenge tradition and create solutions. Our mission is simple: to make self-custody accessible and give people the keys to their own financial futures. If you want to make a true impact, we want you to join us at Ledger. At Ledger, we’re proud to be the global platform for digital assets and Web3, with over 20% of the world’s crypto assets secured through our Ledger devices. With our headquarters in Paris, and offices in Vierzon, Grenoble, Montpellier, London, Portland, Geneva, Zurich and Central Singapore, we have a team of around 600 professionals developing a variety of products and services to enable individuals and companies to securely buy, store, swap, grow and manage crypto assets – including the Ledger hardware wallets line with more than 7.5 millions units already sold in 200 countries. The team: Ledger has secured digital assets for millions of people. Ledger Enterprise brings the same security to institutions. Banks, exchanges, custodians and stablecoin issuers use our platform to hold, move and govern digital assets on infrastructure they control: Vault for self-custody, HSM On-Premises for institutions that need keys inside their own perimeter, TradeLink for off-exchange settlement, and Multisig for on-chain governance. You’ll work closely with Business Development, Solutions Engineering, Product, Legal and Support, covering clients across Europe, the Middle East and Africa. Join a young, international, driven team in one of Ledger’s fastest-growing areas. What you’ll be doing: You will own a portfolio of institutional clients from signature onward. That covers onboarding, integration, adoption, renewal and expansion. You will be their trusted advisor inside Ledger and their voice in our product roadmap. - Own client relationships end to end. Be the primary contact for a portfolio of exchanges, banks, custodians and fintechs, and build relationships from operations teams up to C-level. - Drive integration and adoption. Explain product features clearly, run workshops, and guide clients through technical integration together with our Solutions Engineers. - Grow accounts. Identify and close upsell and cross-sell opportunities such as new products, additional users, assets or entities. Own your expansion and retention targets. - Negotiate renewals and contracts. Lead commercial discussions on renewals, amendments and pricing, working with Legal on terms. - Shape the product. Turn client feedback into clear, prioritised input for Product and influence what we build next. - Run the account rhythm. Lead QBRs, maintain account plans, keep the CRM accurate, and flag risks early. - Represent Ledger. Meet clients on-site and at industry events across EMEA, with occasional travel. What we’re looking for: - 4+ years in a similar account management or customer success role, ideally in B2B SaaS or enterprise infrastructure software. - Proven experience managing financial institution clients such as banks, asset managers, custodians or payment providers. - A track record of upselling and expanding accounts against targets. - Experience negotiating contracts and renewals with enterprise clients. - Comfort with technical conversations: you can explain APIs, integration flows and security concepts without needing an engineer in every meeting. - Hands-on experience with digital assets, or a clear and demonstrable interest in the space. - Excellent written and verbal communication in English. You can adapt your message for a CISO, a head of operations or a CFO. - A structured, self-driven way of working. You manage a portfolio without being chased. Nice to have: - Understanding of regulatory frameworks relevant to EMEA clients, such as MiCAR, DORA, the Travel Rule, the Basel crypto-asset standards, FINMA requirements, or Middle East regimes like VARA (Dubai) and ADGM. - Familiarity with custody and key management concepts like MPC, HSMs and cold/warm/hot wallet setups. - Additional languages, especially German, French or Arabic. - Experience at a crypto-native firm, a bank’s digital asset desk or a custody provider. At Ledger, we are dedicated to continually investing in our employees which is why we offer more than just salaries; we provide comprehensive compensation packages that include a wide range of benefits. Here are some of the benefits you can look forward to: - Flexible work options - Our hybrid policy allows employees to work from home up to 3 times per week - Health & Wellness support - Health and Life Insurance. - Financial growth opportunities - Employees can become shareholders in Ledger as well as other financial benefits depending on your country of work. - Commuter allowance - Ledger offers a commuter allowance to contribute to your preferred means of transportation. - Learning & Development - A comprehensive suite of training solutions providing a personalised learning experience for every employee. For regionally specific benefits, your Talent Acquisition contact will be able to provide you with more information. We’re committed to building an inclusive hiring process. If you need any adjustments or accommodations, just let us know, we’ll do our best to support you.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the team Anthropic's Security Governance, Risk, and Compliance (GRC) team is the connective tissue that holds the company accountable to its security commitments. We translate regulatory, customer, and voluntary obligations into controls that teams act on, and give leadership a bird's-eye view of how well we're meeting them. We're building toward a fundamentally different kind of GRC: one that directs Claude, with the right humans in the loop, to challenge and evidence the performance of controls continuously rather than through periodic audits. Responsibilities: Serve as the security policy partner for AI agent governance, authoring the policies and standards for how agents are built, deployed, operated Define review and approval criteria when an agent may interact with sensitive or regulated data, and which actions require human approval as it relates to compliance frameworks Serve as the GRC reviewer within existing engineering approval workflows Define data governance requirements for agents, including least-privilege access, access reviews, and handling of regulated and sensitive data Monitor agent behavior over time and adapt governance requirements in partnership with cross-functional security, research and engineering teams Map agent security and data controls to AI governance frameworks (e.g., ISO 27001, ISO 42001, EU AI Act), strengthening Anthropic's certification efforts ensuring agent security is auditable Assess and document agent-related security and compliance risks, driving them to resolution with engineering owners Own the policy for agent-related risk acceptances and exceptions, including approval authority, duration and re-review You may be a good fit if you: Have 8+ years in security governance, risk, and compliance, including ownership of security policies and control standards at a technology company Have owned or meaningfully supported efforts to compartmentalize sensitive data, PII, or intellectual property, and understand how identity and access mechanisms implement or undermine protection boundaries Think about non-human identities as a distinct risk and control category, and can design least-privilege access and accountability controls for systems acting on a person's behalf Can reason from a threat model to a control and explain the tradeoff to both an engineer and an auditor Have defined risk-based review or approval criteria within engineering workflows and kept them effective under high change velocity Deliver clear, precise written work for both technical and non-technical audiences Thrive in ambiguous environments with no settled industry playbook, where you're expected to propose the standard rather than wait for one Are energized by being the security and risk authority who educates and influences outcomes rather than only advises Strong candidates may also: Understand the security properties of LLM agents, whether from an AI, developer-platform, or agent-tooling company, or through comparable experience Bring familiarity with AI governance frameworks alongside traditional security frameworks Have adapted controls from regulated or highly sensitive environments to an open, high-trust engineering culture Possess relevant certifications (CISSP, CISM, CRISC, CISA, CCSP, ISO 27001 or ISO 42001 Lead Implementer/Auditor) Candidates need not have: Done everything on this list before. Very few people have governed AI agents at scale — we care more about how you reason about access, accountability, and blast radius than about a prior title. Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $255,000 — $345,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. ABOUT THE ROLE We're looking for a Security Engineer with deep incident response experience to help defend Replit, a fast-moving, cloud-native AI vibe-coding platform. You'll be the person who takes charge when something goes wrong. You'll lead investigations from first signal to root cause, coordinate containment across Security, SRE, and Engineering, and keep stakeholders informed while the incident is moving fast. This isn't a pure responder role. We want a well-rounded security engineer who has run real incidents and wants to make the next one faster. You'll write the scripts, automations, and tooling that take manual work out of triage, evidence collection, and containment. You'll also turn lessons from each incident into better detections, playbooks, and platform hardening.   RESPONSIBILITIES Incident Response - Serve as incident commander or technical lead for security incidents, from detection and triage through containment, eradication, recovery, and post-incident review. - Coordinate response across Security, SRE, Engineering, Legal, and leadership. Drive decisions under pressure and keep a clear record of actions taken. - Communicate incident status, impact, and risk clearly to technical and executive audiences. - Participate in and help shape the security on-call rotation. Investigation & Forensics - Investigate suspicious activity across cloud infrastructure, containers, identity systems, and application layers using SIEM, Cloud Logging, telemetry, and host and container artifacts. - Determine scope, root cause, attacker behavior, and blast radius for confirmed incidents. - Quickly assess whether emerging threats (0-days, active exploitation campaigns, bug bounty findings, customer reports) apply to Replit, and whether we're already affected. IR Automation & Tooling - Build scripts, automations, and tools (Python, Go, Bash, or directly on Replit) that speed up response, such as automated enrichment, evidence collection, credential and session revocation, workload isolation, and alert triage. - Develop and maintain response playbooks and runbooks, and automate them where possible. - Integrate response workflows with SIEM, SOAR, ticketing, and chat tooling to cut time-to-contain. Detection & Continuous Improvement - Turn incident findings into new or improved detections, logging coverage, and visibility. - Lead blameless post-incident reviews and drive remediation items to completion. - Run tabletop exercises and simulations to test readiness and find gaps.   REQUIRED SKILLS & EXPERIENCE - Proven experience leading or serving as technical lead on security incidents in a cloud or SaaS environment. - Strong hands-on investigation skills with SIEM, cloud audit logs, and log-based analysis. Comfortable working through large datasets under time pressure. - Proficiency writing production-quality scripts or tools in Python, Go, or Bash for investigation and automation. - Solid knowledge of cloud architecture and security, especially Google Cloud Platform (IAM, audit logging, GKE, networking). - Working knowledge of Kubernetes and containers, including how to investigate and contain compromised workloads. - Understanding of identity systems, SaaS architectures, and common cloud attack paths (credential theft, privilege escalation, supply chain, token abuse). - Familiarity with software engineering fundamentals, CI/CD pipelines, and package ecosystems, so you can work effectively with Engineering on code-level fixes. - Understanding of IR frameworks and lifecycle (for example NIST 800-61), plus the vulnerability lifecycle and exploitability analysis.   PREFERRED QUALIFICATIONS - Experience building or operating SOAR or other response automation platforms. - Digital forensics experience with cloud, Linux hosts, or containers. - Experience with threat intelligence, threat hunting, or security research. - Experience with bug bounty programs or coordinated vulnerability disclosure. - Familiarity with detection-as-code practices and writing detection rules. - Experience in fast-paced, cloud-native, or AI/ML-driven environments. - Relevant certifications (such as GCIH, GCFA, GCFR), or equivalent hands-on experience. WHAT WE VALUE - Curiosity & initiative: Strong desire to understand attacker behaviors, emerging threats, and how they apply to real-world systems. - Speed & analytical rigor: Ability to quickly assess high-risk vulnerabilities with clear, evidence-based reasoning. - Collaboration: Comfort working across cross-functional teams spanning Security, SRE, Engineering, and Infrastructure. - Clear communication: Ability to explain findings, risks, and mitigation strategies to stakeholders at all levels. - Ownership mindset: Takes initiative to drive investigations, improvements, and remediations to completion. - Continuous learning: Passion for staying up to date on new vulnerabilities, exploit trends, and cloud-native security best practices. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As an AV Engineer focused on Platform & Automation, you'll build and own the software layer of Anthropic's collaboration systems — the tools, integrations, and engineering practices that let a small AV team support a fast-growing global office portfolio. Our rooms, event spaces, and broadcast systems are increasingly managed through APIs and code: device management platforms, DSP and control systems, conferencing administration, ticketing, and paging. Your job is to turn that surface into reliable, team-owned tooling, and to bring software engineering discipline to how we build and maintain it. You can expect a lot of your time writing, shipping, and operating code — fleet health monitoring, automated room testing and ticketing, integrations between our AV platforms and IT systems, and the internal tools that AV Engineering, AV Operations, and Events rely on every day. You'll also help own the administration of the software platforms we already run, and set the standards for how the team version-controls, reviews, tests, releases, and maintains everything from DSP designs to firmware to internal services. Responsibilities Design, build, and ship internal tools and integrations that monitor, test, and manage AV and collaboration systems across every office Develop fleet health monitoring and automated room testing that catch failures before users report them and open actionable tickets automatically Build integrations across device and platform APIs — Q-SYS (including plugins and Lua control scripts), Logitech Sync, Google Meet hardware, digital signage; and IT systems such as Jira, Slack, PagerDuty, and Google Workspace Automate repetitive operational work: provisioning, configuration baselines, drift detection, certificate renewal, and asset data — with code others can read, test, and maintain Own administration and lifecycle of the software platforms behind the AV estate, including firmware and software release management with staged rollouts and rollback plans Operate internal tools as production services, with monitoring, alerting, service metrics, and runbooks, on team-owned repositories and service identities so nothing depends on one person Establish the team's engineering practices: source control, code review, testing, CI/CD, and release — and bring AV configuration under version control, with standards set for integrator deliverables and acceptance verified before changes land Enable AV Engineers, Operations Specialists, and Production staff to contribute safely through templates, guardrails, and review paths built for non-developers Partner with Security, IT Engineering, and Network on least-privilege API access, secrets management, and integration with enterprise standards Gather requirements from AV Operations, Events, and AV Engineering, prioritize the tooling roadmap by operational impact, and decide where to build, buy, or push a vendor to close a gap You May Be a Good Fit If You: Have 10+ years of experience across AV, collaboration, or IT systems engineering, including 4+ years writing, shipping, and maintaining production code that other people depend on Are fluent in at least one general-purpose language: Python, Lua, Go, TypeScript, or similar — and comfortable with shell scripting Practice engineering fundamentals by default: Git-based workflows, code review, automated testing, CI/CD, logging, and observability Understand how AV and collaboration systems work: DSP and control, conferencing platforms, room devices, signal flow, AV-over-IP — well enough to build reliable tools on top of them Have built integrations against REST APIs, webhooks, and vendor SDKs, and know how to handle auth, rate limits, pagination, retries, and partial failure Have owned a tool or service in production over time, not just written it, including fixing it when it broke and handing it off cleanly Have defined engineering practices for a team, especially one where most contributors aren't developers Turn operational pain into well-scoped tooling, and can say no to work that shouldn't be built Thrive in a fast-moving environment where standards are being written rather than inherited Strong Candidates May Also Have Experience With: Q-SYS Lua scripting and plugin development Logitech Sync and CollabOS, and Google Meet hardware administration through the Google Admin console and Admin SDK Google Workspace APIs, GCP (Cloud Run, Cloud Scheduler, Pub/Sub, Secret Manager), and Terraform or other infrastructure-as-code Jira, Slack, and PagerDuty APIs and automation Crestron, Extron, or other control system programming Dante, AES67, NDI, and network fundamentals for AV-over-IP, including multicast, VLANs, and QoS Building with LLMs — agentic automation, LLM-assisted internal tools, or MCP integrations Monitoring and alerting stacks such as Prometheus and Grafana, and containerized deployment Q-SYS Level 2, CTS, or equivalent demonstrated capability Role Specific Location Policy: This role will be based in our San Francisco or New York City office This role is expected to be in office 50% of the time Up to 4 weeks of domestic and international travel annually for platform rollouts, new-office readiness, and on-site testing Business-hours escalation coverage for the tools and platforms this role owns Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 — $325,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Ontario, Canada From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About the Role We’re looking for a hands-on Senior Engineering Manager to lead the Core team behind dbt V2, dbt’s next-generation engine. This is a backfill role for an engineering leader who can combine strong software-engineering judgment with people leadership, product partnership, and the ability to navigate a highly cross-functional technical area. The Core team is responsible for building, maintaining, and evolving the Rust-based engine that powers dbt Fusion. The team primarily works on the dbt V2 runtime itself, SQL language features powered by Static Analysis, and new ELT primitives. The role sits at the center of several parts of the dbt product: the engine and orchestration, the IDE and developer experience, adapters and data warehouses, and our new compute offering, LakeCompute. You’ll help the team make sound technical and product decisions while keeping a stable GA product moving forward. About the Team The Core team is part of a broader organization that includes adapters, growth, the VS Code extension, compute, and other closely connected teams. It partners frequently with Product and with the teams responsible for orchestration, IDE experiences, adapters, and LakeCompute. In this role, you can expect to: Lead, coach, and develop a fluid team of approximately 8 engineers working on a critical part of the dbt product. Establish clarity across a technically demanding roadmap with multiple product and engineering stakeholders. Partner closely with Product to translate ambiguous requirements into realistic engineering scope, sequencing, and estimates. Help the team balance new feature development, engine maintenance, framework modernization, documentation, and the stability of a GA product. Guide end-to-end technical design across the engine and its integration points with orchestration, the IDE, adapters, warehouses, and late compute. Support engineers in making sound tradeoffs across product value, technical quality, performance, compatibility, and delivery risk. Actively contribute to technical design and implementation alongside the team. Work with peer engineering leaders to coordinate initiatives that span multiple teams and systems. Build an environment where engineers can do high-quality work, grow their scope, and take ownership of meaningful technical problems. Help shape the next phase of dbt Fusion as a language-aware transformation engine used by the broader data community. Mandatory skills Experience leading teams through multiple concurrent priorities and diverse integration points. Strong software-engineering fundamentals and prior experience as a senior/staff engineer, technical lead, or equivalent hands-on technical leader. Ability to lead or facilitate system design from problem definition through implementation and delivery. Ability to translate complex or ambiguous product requirements into credible engineering estimates, milestones, and tradeoffs. Demonstrated judgment in balancing roadmap delivery with reliability, maintainability, technical debt, and product quality. A hands-on technical orientation, including a willingness and ability to stay close to code and engineering details. You are a good fit if you have: Led a software team through the full development lifecycle: discovery, design, implementation, testing, release, operation, and iteration. Worked on products with substantial technical complexity, integration surfaces, or platform dependencies. Successfully partnered with Product and other engineering teams to create a stable roadmap and make difficult prioritization decisions. Experience in data transformation, orchestration, query engines, databases, developer tools, compilers, language tooling, or a closely related area. Direct dbt experience is helpful but not required. The ability to explain complex technical systems clearly to engineers, product partners, and candidates with different levels of technical depth. A track record of developing strong engineers while maintaining a high technical bar. Comfort operating in a fluid environment where team boundaries, priorities, and scope may evolve. You’ll have an edge if you have: Experience with Rust or another systems programming language, compilers, query planning, language servers, IDE tooling, or developer platforms. Experience building or operating data transformation, orchestration, warehouse, or execution systems. Contributions to open-source projects or experience working with open standards and open technical communities. Familiarity with ecosystems such as Apache Arrow, Apache Iceberg, DuckDB, ADBC, or related data and execution technologies. Experience with SQL semantics, query optimization, transpilation across dialects, data lineage, governance, or developer-facing language features. Experience working in a remote-first or distributed organization with strong written communication practices. Startup or scale-up experience and comfort wearing multiple hats while the organization evolves. The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Ontario Pay Range $206,699 — $232,536.50 CAD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Denver, Colorado, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About the Role We’re looking for a hands-on Senior Engineering Manager to lead the Core team behind dbt V2, dbt’s next-generation engine. This is a backfill role for an engineering leader who can combine strong software-engineering judgment with people leadership, product partnership, and the ability to navigate a highly cross-functional technical area. The Core team is responsible for building, maintaining, and evolving the Rust-based engine that powers dbt Fusion. The team primarily works on the dbt V2 runtime itself, SQL language features powered by Static Analysis, and new ELT primitives. The role sits at the center of several parts of the dbt product: the engine and orchestration, the IDE and developer experience, adapters and data warehouses, and our new compute offering, LakeCompute. You’ll help the team make sound technical and product decisions while keeping a stable GA product moving forward. About the Team The Core team is part of a broader organization that includes adapters, growth, the VS Code extension, compute, and other closely connected teams. It partners frequently with Product and with the teams responsible for orchestration, IDE experiences, adapters, and LakeCompute. In this role, you can expect to: Lead, coach, and develop a fluid team of approximately 8 engineers working on a critical part of the dbt product. Establish clarity across a technically demanding roadmap with multiple product and engineering stakeholders. Partner closely with Product to translate ambiguous requirements into realistic engineering scope, sequencing, and estimates. Help the team balance new feature development, engine maintenance, framework modernization, documentation, and the stability of a GA product. Guide end-to-end technical design across the engine and its integration points with orchestration, the IDE, adapters, warehouses, and late compute. Support engineers in making sound tradeoffs across product value, technical quality, performance, compatibility, and delivery risk. Actively contribute to technical design and implementation alongside the team. Work with peer engineering leaders to coordinate initiatives that span multiple teams and systems. Build an environment where engineers can do high-quality work, grow their scope, and take ownership of meaningful technical problems. Help shape the next phase of dbt Fusion as a language-aware transformation engine used by the broader data community. Mandatory skills Experience leading teams through multiple concurrent priorities and diverse integration points. Strong software-engineering fundamentals and prior experience as a senior/staff engineer, technical lead, or equivalent hands-on technical leader. Ability to lead or facilitate system design from problem definition through implementation and delivery. Ability to translate complex or ambiguous product requirements into credible engineering estimates, milestones, and tradeoffs. Demonstrated judgment in balancing roadmap delivery with reliability, maintainability, technical debt, and product quality. A hands-on technical orientation, including a willingness and ability to stay close to code and engineering details. You are a good fit if you have: Led a software team through the full development lifecycle: discovery, design, implementation, testing, release, operation, and iteration. Worked on products with substantial technical complexity, integration surfaces, or platform dependencies. Successfully partnered with Product and other engineering teams to create a stable roadmap and make difficult prioritization decisions. Experience in data transformation, orchestration, query engines, databases, developer tools, compilers, language tooling, or a closely related area. Direct dbt experience is helpful but not required. The ability to explain complex technical systems clearly to engineers, product partners, and candidates with different levels of technical depth. A track record of developing strong engineers while maintaining a high technical bar. Comfort operating in a fluid environment where team boundaries, priorities, and scope may evolve. You’ll have an edge if you have: Experience with Rust or another systems programming language, compilers, query planning, language servers, IDE tooling, or developer platforms. Experience building or operating data transformation, orchestration, warehouse, or execution systems. Contributions to open-source projects or experience working with open standards and open technical communities. Familiarity with ecosystems such as Apache Arrow, Apache Iceberg, DuckDB, ADBC, or related data and execution technologies. Experience with SQL semantics, query optimization, transpilation across dialects, data lineage, governance, or developer-facing language features. Experience working in a remote-first or distributed organization with strong written communication practices. Startup or scale-up experience and comfort wearing multiple hats while the organization evolves. The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Denver Pay Range $227,803.50 — $284,757.50 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Oakland, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About the Role We’re looking for a hands-on Senior Engineering Manager to lead the Core team behind dbt V2, dbt’s next-generation engine. This is a backfill role for an engineering leader who can combine strong software-engineering judgment with people leadership, product partnership, and the ability to navigate a highly cross-functional technical area. The Core team is responsible for building, maintaining, and evolving the Rust-based engine that powers dbt Fusion. The team primarily works on the dbt V2 runtime itself, SQL language features powered by Static Analysis, and new ELT primitives. The role sits at the center of several parts of the dbt product: the engine and orchestration, the IDE and developer experience, adapters and data warehouses, and our new compute offering, LakeCompute. You’ll help the team make sound technical and product decisions while keeping a stable GA product moving forward. About the Team The Core team is part of a broader organization that includes adapters, growth, the VS Code extension, compute, and other closely connected teams. It partners frequently with Product and with the teams responsible for orchestration, IDE experiences, adapters, and LakeCompute. In this role, you can expect to: Lead, coach, and develop a fluid team of approximately 8 engineers working on a critical part of the dbt product. Establish clarity across a technically demanding roadmap with multiple product and engineering stakeholders. Partner closely with Product to translate ambiguous requirements into realistic engineering scope, sequencing, and estimates. Help the team balance new feature development, engine maintenance, framework modernization, documentation, and the stability of a GA product. Guide end-to-end technical design across the engine and its integration points with orchestration, the IDE, adapters, warehouses, and late compute. Support engineers in making sound tradeoffs across product value, technical quality, performance, compatibility, and delivery risk. Actively contribute to technical design and implementation alongside the team. Work with peer engineering leaders to coordinate initiatives that span multiple teams and systems. Build an environment where engineers can do high-quality work, grow their scope, and take ownership of meaningful technical problems. Help shape the next phase of dbt Fusion as a language-aware transformation engine used by the broader data community. Mandatory skills Experience leading teams through multiple concurrent priorities and diverse integration points. Strong software-engineering fundamentals and prior experience as a senior/staff engineer, technical lead, or equivalent hands-on technical leader. Ability to lead or facilitate system design from problem definition through implementation and delivery. Ability to translate complex or ambiguous product requirements into credible engineering estimates, milestones, and tradeoffs. Demonstrated judgment in balancing roadmap delivery with reliability, maintainability, technical debt, and product quality. A hands-on technical orientation, including a willingness and ability to stay close to code and engineering details. You are a good fit if you have: Led a software team through the full development lifecycle: discovery, design, implementation, testing, release, operation, and iteration. Worked on products with substantial technical complexity, integration surfaces, or platform dependencies. Successfully partnered with Product and other engineering teams to create a stable roadmap and make difficult prioritization decisions. Experience in data transformation, orchestration, query engines, databases, developer tools, compilers, language tooling, or a closely related area. Direct dbt experience is helpful but not required. The ability to explain complex technical systems clearly to engineers, product partners, and candidates with different levels of technical depth. A track record of developing strong engineers while maintaining a high technical bar. Comfort operating in a fluid environment where team boundaries, priorities, and scope may evolve. You’ll have an edge if you have: Experience with Rust or another systems programming language, compilers, query planning, language servers, IDE tooling, or developer platforms. Experience building or operating data transformation, orchestration, warehouse, or execution systems. Contributions to open-source projects or experience working with open standards and open technical communities. Familiarity with ecosystems such as Apache Arrow, Apache Iceberg, DuckDB, ADBC, or related data and execution technologies. Experience with SQL semantics, query optimization, transpilation across dialects, data lineage, governance, or developer-facing language features. Experience working in a remote-first or distributed organization with strong written communication practices. Startup or scale-up experience and comfort wearing multiple hats while the organization evolves. The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $240,901 — $301,126.50 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! The Figma Research team is hiring an experienced researcher to support our core product, Figma Design, and actively shape and execute research to drive scale, tap new opportunities, and ensure Figma continues pushing innovation in design and production tooling. Partnering with Product, Design, and Engineering, you'll bring a deep passion for research and strategy, pushing the envelope with AI-led experiences and laddering key user needs to critical product decisions — tackling our highest impact problems and influencing company strategy for both the short- and long-term. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Help Figma grow and innovate by delivering strategic research and recommendations and materially influencing the vision and strategy for Figma Design Partner closely with product leaders to identify opportunities, generate strategy, and define success Break down complex business challenges into clear research plans; own the end to end research process and leverage strong storytelling skills to deliver meaningful impact to Figma's businesses Translate research insights into a compelling narrative that shapes product roadmap priorities Advocate for the role of Research as a strategic partner in the business process We'd love to hear from you if you have: 7+ years of experience in UX research or user insights at a high growth B2B SaaS company Expertise in utilizing a variety of research methodologies, including both qualitative and quantitative techniques, to address product challenges spanning from opportunity identification, concept testing, to feature iterations — including research on AI-powered features or products exploring AI applications Demonstrated success in identifying assumptions that underpin key challenges, prioritizing the most critical assumptions, and creating right sized research approaches to test those critical assumptions A proven track record of gaining buy in from executive stakeholders and cross disciplinary partners, transcending mere research mechanics and findings to articulate a larger user story, and the "so what" to inspire action Ability to balance speed, rigor, and competing inputs — pivoting direction, weighing user research, strategy, business insights, and team input in decision-making, and seeking solutions in creative ways While it's not required, it's an added plus if you also have: 2+ years in product design, user centric product management, product development, and/or front end engineering A familiarity and depth of experience using Figma's products At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $169,000 — $250,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: San Francisco Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: Modal’s Inference Runtime team owns the container runtime stack used to run inference and training workloads across our fleet. We work at the boundary of Linux, containers, filesystems, storage, GPU drivers, and distributed systems. Our goal is to make demanding ML workloads start quickly, run efficiently, and remain securely isolated, whether they use a single GPU, hundreds of gigabytes of memory, or multiple GPUs connected with RDMA. We’re looking for a systems engineer who enjoys working deep in the stack. You’ll build production runtime infrastructure in Rust and Go, diagnose difficult Linux and performance problems, and help determine the architecture of Modal’s container platform. You’ll also work closely with maintainers of gVisor and contribute to the runtime itself when the right fix belongs upstream. WHAT YOU'LL WORK ON: - Make container startup, checkpoint, and restore dramatically faster for large inference and training workloads - Build multi-GPU and accelerator-aware snapshotting, including efficient handling of GPU memory and RDMA-enabled workloads - Design zero-copy and low-copy data paths between container memory, filesystems, storage, and Modal’s runtime - Optimize large snapshot pipelines using techniques such as parallel uploads, direct I/O, incremental snapshots, and more efficient memory handling - Improve container image and filesystem performance across EROFS, FUSE, page caches, overlay filesystems, and remote storage - Extend our sandboxed runtime to support new GPUs, drivers, profiling tools, and device capabilities across NVIDIA and AMD hardware - Debug complex failures involving system calls, virtual memory, process lifecycle, kernel behavior, GPU drivers, and container isolation - Safely roll out runtime and kernel changes across a heterogeneous fleet using compatibility controls, scheduling constraints, feature flags, and observability - Work across the runtime, scheduler, storage, and GPU infrastructure, and take ambiguous production problems from investigation through deployment YOU MAY BE A FIT IF: - You have strong Linux systems knowledge, particularly processes, virtual memory, filesystems, system calls, scheduling, namespaces, cgroups, and signals - You’ve built or debugged container runtimes, sandboxes, the Linux kernel, or similarly low-level infrastructure - You have strong programming ability in Rust, Go, or another systems language, and an interest in becoming productive in both Rust and Go - You’ve profiled and improved systems where memory movement, I/O, synchronization, or kernel interactions dominate performance - You’re comfortable debugging across abstraction boundaries, from application behavior down through runtimes, drivers, and the kernel - You can turn loosely defined production problems into well-designed, reliable systems - You want to own important infrastructure and work closely with both internal teams and customers NICE-TO-HAVE: Any of the following would be helpful, but none is required: - gVisor, runsc, runc, OCI runtimes, seccomp, or checkpoint/restore systems - Linux kernel development, virtualization, sandboxing, kernel modules, or device proxying - CUDA, ROCm, GPU drivers, accelerator virtualization, or GPU profiling - RDMA and high-performance networking - FUSE, EROFS, direct I/O, mmap, page-cache behavior, or storage engines - Large-memory or multi-GPU inference and training systems - Contributions to open-source systems software Prior gVisor or machine-learning experience is not required. We care more about strong systems fundamentals, curiosity, and the ability to learn unfamiliar parts of the stack. WHY THIS ROLE: The container runtime is directly on the critical path for inference performance. Improvements here can substantially reduce cold starts, increase token throughput, unlock new accelerator types, and make previously impractical workloads possible. This is an opportunity to work on unusually deep systems problems with immediate production impact. You’ll have room to shape the architecture, contribute to open-source runtime technology, and take ownership of foundational infrastructure used by every inference and training workload on Modal.

Location: New York Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re looking for a Legal Operations Lead to join us as the first dedicated legal operations hire at Modal. You’ll own the systems, records, and workflows that let a small legal team keep pace with a high-growth tech company, and you’ll have an opportunity to build most of them from scratch. This is a great fit for a highly organized, systems-oriented operator who thrives in a fast-paced environment and wants to build operational foundations, not just maintain them. You’ll report to our General Counsel and collaborate closely with the Finance, BizOps, GTM, and People teams. WHAT YOU’LL WORK ON: - Build and maintain contract operations, including designing the contract lifecycle management workflows and approval logic, and continuing to iterate and improve those processes - Design a legal intake process to support and route legal requests from internal stakeholders - Make the legal function faster with AI, and build and configure tooling to make us more efficient - Manage corporate administration and record-keeping, including Board and stockholder matters, signature coordination, and building a knowledge management system and database - Be the point person for corporate compliance, including entity management, foreign and domestic qualifications and filings, and coordination with registered agents - Support stock administration and cap table hygiene - Manage outside counsel and legal spend YOU MAY BE A FIT IF: - You have 5+ years in legal operations, contract operations, or a corporate paralegal role, preferably at a high-growth technology company - You’ve built and documented processes from the ground up, not just executed existing ones - You have experience configuring workflows and templates within Ironclad or a similar CLM - You have experience with AI tools and good instincts about where they help and where they quietly introduce risk - You have sound judgment about what to handle and what to escalate NICE-TO-HAVE: - Exposure to corporate and equity administration - Familiarity with Carta or a similar equity administration platform