Вакансии

What you will own. Take product ideas from problem definition through design, implementation, rollout, and iteration, including experiments that may grow into standalone products.

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Location: Washington State; California; Colorado; Texas Workplace: Remote The AI orchestration of your wildest imagination. n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact. Since our founding in 2019, we’ve grown into a diverse team of over 260 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve: - Cultivated a community of more than 650,000 active developers and builders - Earned 190K+ GitHub stars, making us one of the world’s Top 40 most popular projects - Backed by top investors, from Sequoia’s first German seed to our SAP's recent strategic investment - bringing us to a $5.2bn valuation That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register http://app.n8n.cloud/register. We’re in a defining moment of an incredible journey. Come and build with us. This is a remote role working West Coast hours, and we are looking to hire people based in one of the following states: Washington, California, Colorado, Texas. As a Customer Success Manager for our Guided segment, you will serve as the primary post-sales partner for a portfolio of approximately 30 enterprise accounts across the US West Coast region, guiding customers from onboarding through scaled adoption and long-term expansion. You’ll run a strong operating cadence across customer engagements — including kickoffs, success planning, executive business reviews, adoption reviews, and renewals — helping customers translate product usage into measurable business outcomes and clear ROI. You will proactively manage customer health, identify risks before they become blockers, and drive resolution across technical and business stakeholders. In addition, you’ll help design scalable playbooks and programs that improve customer outcomes across the broader customer base. Working closely with Support, Solutions Engineering, Product, and Sales, you’ll turn technical success into durable revenue growth by driving adoption, renewals, and expansion opportunities that contribute to strong enterprise net revenue retention.     WHAT YOU’LL BE DOING - Own a portfolio of n8n enterprise customers, acting as the primary post-sales partner across onboarding, adoption, and renewal - Lead customer kickoffs and success planning, aligning stakeholders on goals, timelines, responsibilities, and measurable outcomes - Drive onboarding and enablement across technical and business audiences, accelerating time-to-value and unblocking implementation challenges - Establish a strong operating cadence (health checks, executive syncs, QBRs), using customer data and adoption insights to guide priorities and decisions - Monitor customer health and product usage signals to proactively identify risks, manage escalations, and maintain stakeholder alignment - Quantify and communicate business value throughout the customer lifecycle, building ROI narratives tied to adoption, efficiency gains, and business impact - Identify and progress expansion opportunities (upsell/cross-sell), partnering with Account Executives on account strategies that drive customer growth - Partner closely with Support, Solutions Engineering, and Product teams to resolve blockers quickly and deliver a seamless customer experience - Provide structured, actionable feedback to Product and Engineering, representing customer needs and helping shape roadmap priorities     REQUIREMENTS 🤝 ENTERPRISE CUSTOMER SUCCESS EXPERIENCE You’ve managed a portfolio of enterprise SaaS customers and can confidently run kickoffs, onboardings, stakeholder alignment, and QBRs end-to-end. 💻 TECHNICAL FLUENCY You can engage credibly with IT and engineering stakeholders across topics like APIs, integrations, authentication, environments, and automation architecture — and know when to escalate. 💼 COMMERCIAL ACUMEN You’ve supported renewals and expansion opportunities (upsell/cross-sell), with a track record of driving retention and growth outcomes. 📊 VALUE & OUTCOMES MINDSET You’re comfortable translating product usage into measurable business outcomes, ROI, and executive-ready narratives. 🧭 OPERATIONAL RIGOR You run a structured operating cadence, manage competing priorities effectively, and keep stakeholders aligned with strong follow-through. 🗣 CLEAR, HIGH-TRUST COMMUNICATION You communicate clearly with both technical builders and executive stakeholders, and you’re known for building durable customer relationships. 🤝 CROSS-FUNCTIONAL LEADERSHIP You partner effectively with Sales, Support, Solutions Engineering, and Product to unblock customers and improve the customer journey. 🌱 BUILDER MINDSET IN AMBIGUITY You thrive in fast-moving environments, take ownership, and enjoy building processes as the company scales.     NICE-TO-HAVES 🤖 AUTOMATION + AI CURIOSITY You’ve used automation, AI tools, or workflow platforms before and can bring ideas that improve customer value realization. 🚀 STARTUP/SCALE-UP EXPERIENCE You’ve operated in high-growth environments and enjoy “building the plane while flying it.” 🌎 MULTI-REGION COLLABORATION EXPERIENCE You’ve worked with distributed teams and enterprise stakeholders across multiple US time zones or globally. 🎓 TECHNICAL OR STEM EDUCATION Degree or equivalent experience in a technical field such as Computer Science, Engineering, or similar. 🧩 FAMILIARITY WITH N8N OR SIMILAR PLATFORMS Experience with workflow automation, integration, or iPaaS platforms will help you ramp quickly. n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status. We can sponsor visas to Germany; for any other country, you need to have existing right to work. Our company language is English. You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n https://www.notion.so/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35?pvs=21 (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35). Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. BENEFITS - Competitive compensation 💸 – We offer fair and attractive pay. - Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity. - Work/life balance 🏖️ – We work hard but ensure you have time to recharge: - Europe: 30 days of vacation, plus public holidays wherever you are. - US: 20 vacation days, 8 sick days, plus public holidays wherever you are. - Health & wellness 🩺 – - Europe: We provide benefits according to local country norms.* - US: Multiple low-premium, low-deductible medical plans with coverage for individuals and families—plus a no-cost premium HDHP option with a pre-seeded HSA—along with dental and vision coverage. - Future planning 💰 – - Europe: We provide pension contributions according to local country norms.* - US: 401(k) retirement plan with a 4% employer match. - Financial security 🛡️ – - Europe: We provide benefits according to local country norms.* - US: Company-paid short-term and long-term disability insurance, plus life insurance to support you and your loved ones. - Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills. - A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it! - Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description. - Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about. - Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang. *Country and/or State specific details provided in your employment agreement.

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What you will do Build new strategic partnerships with travel companies, agency networks, airlines, OTAs, travel platforms, loyalty programs, fintech companies, travel-tech players, and other distribution channels. Build a specific partnership hypothesis for each account rather than sending a generic company presentation.

2 000 – 2 000 €

Design, implement, test, and operate production services and APIs. Lead projects or meaningful components of projects from problem definition through deployment and iteration.

145 500 – 235 400 $

-Design, implement and test full stack applications, using AI coding agents to accelerate development while taking ownership of code quality, security and maintainability. -Work with (and travel as needed) international partners to onboard and port solutions to Sui.

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Location: Singapore Workplace: Hybrid At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 25,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America and Europe, and now expanding across Asia Pacific. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. Over the past few years, Linear has experienced incredible organic growth and has become the default tool of choice for many of the world’s best product teams. We are now layering a product-led sales motion on top of our existing self-serve business to further accelerate our ambitions and bring the magic of Linear to even more and larger companies. You’ll play an instrumental role in defining our enterprise sales motion, contribute to the future of our product, and help high-impact companies build better software. Location & work mode While Linear is a remote-first company across the US and Europe, this role in APAC is office based 2–3 days per week, as this role will be closely connected to in-person collaboration with our growing sales presence in the region. What you'll do - Become a product expert and help customers use Linear effectively; assist prospects through the trial and evaluation phase - Generate a strong pipeline and exceed quarterly targets - Stay up to date with our product offering, industry trends, competitive landscape, and market trends to continuously adapt sales strategies and approaches for maximum impact - Build relationships with key stakeholders within accounts; understand client needs deeply, align Linear’s solutions to business objectives + shape decision criteria. Effectively communicate and align our value proposition to decision-makers - Be the voice of the customer; advocate for customers by surfacing product or adoption blockers to our product team - Help build the foundation and define our enterprise sales process Requirements - 3+ years selling to the enterprise, and 7+ years in a quota-carrying sales role - Experience selling a technical product to both engineering and product leadership; bonus if you have experience selling collaboration or project management software - SaaS and startup experience; comfortable working and adapting in a fast-paced and flexible environment - Ability to understand complex client needs, craft tailored discovery, and drive sales through consultative approaches. - Strong written and verbal communication, presentation, and product demonstration skills - Highly autonomous with a bias for action. Owner’s mindset to quickly come up to speed on product, market, ICP, and unique differentiators. What we offer We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect: - Competitive salary and equity - Employee-friendly equity terms - Daily meal and coffee stipend on every workday - Health coverage (based on country requirements) - 5 weeks paid vacation, plus local statutory holidays - 4 months paid parental leave - Paid month off after 4 years & every 2 years thereafter - Regular team events and off-sites Learn how we think and work - A story about our mission: Read Me https://linear.app/readme - How we work: Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear - Our CEO and co-founder, Karri at 20VC: How to Grow Capital Efficiently in a World of BS Growth https://www.youtube.com/watch?v=4vqDYkuzbSM - Make an Org Chart You Want to Ship — Advice from Linear on How Heirloom Tomatoes Should Inspire Team Design https://review.firstround.com/make-an-org-chart-you-want-to-ship-advice-from-linear-on-how-heirloom-tomatoes-should-inspire-team-design/ - Building our teams: Why and how we do work trials at Linear https://linear.app/blog/why-and-how-we-do-work-trials-at-linear - A video series: Conversations on Quality https://linear.app/quality - Read about our recent Series C Fundraise https://linear.app/now/building-our-way and Giving our team liquidity https://linear.app/now/giving-our-team-liquidity-through-linear-s-first-tender-offer Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.

Location: Singapore Workplace: Hybrid At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 25,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America and Europe, and now expanding across Asia Pacific. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. Over the past few years, Linear has experienced incredible organic growth and has become the default tool of choice for many of the world’s best product teams. We are now layering a product-led sales motion on top of our existing self-serve business to further accelerate our ambitions and bring the magic of Linear to even more and larger companies. As an Account Executive at Linear, you’ll contribute to the future of our product and help high-impact companies build better software. Location & work mode While Linear is a remote-first company across the US and Europe, this role in APAC is office based 2–3 days per week, as this role will be closely connected to in-person collaboration with our growing sales presence in the region. What you'll do - Become a product expert and help customers use Linear effectively; assist prospects through the trial and evaluation phase - Generate a strong pipeline and exceed quarterly and annual targets - Build relationships with key stakeholders within accounts - Stay up to date with our product offering, industry trends, competitive landscape, and market trends to continuously adapt sales strategies and approaches for maximum impact - Be the voice of the customer; advocate for customers by surfacing product or adoption blockers to our product team What we're looking for - 5+ years in a quota-carrying sales role - Experience selling to a technical audience; bonus if you have previous experience working with a collaboration or developer tool - SaaS and startup experience; comfortable working and adapting in a fast-paced and flexible environment - Strong written and verbal communication, presentation, and product demonstration skills - Highly autonomous with a bias for action. Owner’s mindset to quickly come up to speed on product, market, ICP, and unique differentiators What we offer We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect: - Competitive salary and equity - Employee-friendly equity terms - Daily meal and coffee stipend on every workday - Health coverage (based on country requirements) - 5 weeks paid vacation, plus local statutory holidays - 4 months paid parental leave - Paid month off after 4 years & every 2 years thereafter - Regular team events and off-sites Learn how we think and work - A story about our mission: Read Me https://linear.app/readme - How we work: Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear - Our CEO and co-founder, Karri at 20VC: How to Grow Capital Efficiently in a World of BS Growth https://www.youtube.com/watch?v=4vqDYkuzbSM - Make an Org Chart You Want to Ship — Advice from Linear on How Heirloom Tomatoes Should Inspire Team Design https://review.firstround.com/make-an-org-chart-you-want-to-ship-advice-from-linear-on-how-heirloom-tomatoes-should-inspire-team-design/ - Building our teams: Why and how we do work trials at Linear https://linear.app/blog/why-and-how-we-do-work-trials-at-linear - A video series: Conversations on Quality https://linear.app/quality - Read about our recent Series C Fundraise https://linear.app/now/building-our-way and Giving our team liquidity https://linear.app/now/giving-our-team-liquidity-through-linear-s-first-tender-offer Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.

Location: San Francisco; Toronto; New York; Montreal; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We're looking for distributed systems engineers and product-minded generalists to build the distributed runtime that powers large-scale LLM inference on Baseten. Our inference platform empowers customers to deploy and operate cutting-edge models with industry-leading performance, scalability, and reliability. It also powers Model APIs, our hosted endpoints for the latest open-source models. You'll work across the stack, from the developer experience customers use to deploy models, through the libraries behind features like tool calling and reasoning, down to the systems that orchestrate deployments on Kubernetes and route traffic efficiently. Your job is to make sure every model on our platform is fast, reliable, and cost-efficient. You'll join a small, high-impact team at the intersection of distributed systems, model performance, infrastructure, and product, helping define how developers use AI models at scale. This role is ideal for engineers who enjoy owning systems in production, solving hard integration problems, and making complex infrastructure simple and reliable for users.   EXAMPLE INITIATIVES You'll get to work on these types of projects on our Inference Platform: - The Baseten Inference Stack at NVIDIA Dynamo Day https://www.baseten.co/blog/nvidia-dynamo-day-baseten-inference-stack/ - 2x faster inference with KV cache-aware routing https://www.baseten.co/blog/how-baseten-achieved-2x-faster-inference-with-nvidia-dynamo/ - How Baseten multi-cloud capacity management (MCM) unifies deployments https://www.baseten.co/blog/how-baseten-multi-cloud-capacity-management-mcm-powers-cloud-self-hosted-and-hybr/#comparing-deployment-options-cloud-vs-self-hosted-vs-hybrid RESPONSIBILITIES - Build the infrastructure and orchestration systems that deploy and run large-scale distributed LLM inference, including routing, autoscaling, scheduling, and runtime management. - Design, build, and operate Model APIs, with a focus on advanced inference capabilities: structured outputs (JSON mode, grammar-constrained generation), tool/function calling, and multimodal serving. - Implement platform fundamentals such as API versioning, validation, usage metering, quotas, and authentication. - Instrument deep observability (metrics, traces, logs) and build repeatable benchmarks for speed, reliability, and quality. Help set best practices for testing, release automation, and operational excellence. - Debug and harden complex production systems spanning Kubernetes, distributed runtimes, networking, and GPU workloads to improve reliability and scalability. - Partner with Inference Performance engineers and other teams to make new optimizations broadly available to customers and easy to configure. - Own projects end to end, from architecture through deployment, monitoring, and iteration on customer feedback. Along the way, make thoughtful tradeoffs between performance, reliability, operational simplicity, and developer experience.   REQUIREMENTS - Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or a related field, or equivalent practical experience. - 3+ years building and operating distributed systems, backend infrastructure, or large-scale APIs where reliability, latency, and scale are first-class concerns. - A proven track record of owning low-latency, reliable backend services, including rate limiting, auth, quotas, metering, and migrations. - Infrastructure instincts with a feel for performance: profiling, tracing, capacity planning, and SLO management. - Comfort debugging performance and reliability issues across multiple layers of the stack, from application behavior down to runtime and infrastructure internals. - A strong sense of developer experience. You think about how systems are used, not just how they work. - Eagerness to learn new languages, frameworks, and systems, and a real interest in inference engineering. Prior ML or LLM experience isn't required, though experience with model serving or inference systems is a plus. - Excellent written communication and collaboration skills, including writing clear design docs and working across functions.   NICE TO HAVE - Experience with or contributions to LLM inference engines and frameworks such as vLLM, SGLang, TensorRT-LLM, TGI, or Dynamo. - Deep Kubernetes experience, including operators and custom resources, plus familiarity with service meshes or API gateways. - Experience with distributed scheduling, autoscaling, or service orchestration. - Experience operating GPU workloads in production. - A background in developer-facing infrastructure or APIs, or contributions to open-source infrastructure or ML systems. - Familiarity with observability tooling, CI/CD systems, or release automation. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: San Francisco; Toronto; New York; Montreal; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We're looking for inference performance engineers who want to make the world's most demanding AI workloads run faster and more efficiently. You'll work across the stack, from the inference engine and runtime through scheduling, serving, and routing. Along the way you'll apply techniques like prefill/decode disaggregation, speculative decoding, and KV-cache management. You'll reason from first principles about where time and memory go, find what's holding performance back, and close the gap. Your work directly impacts how fast our customers' models run and how efficiently we serve them. This role is ideal for someone who thrives in a fast-paced startup environment and is eager to make significant contributions to the exciting field of LLM inference.   EXAMPLE INITIATIVES You'll get to work on these types of projects as an Inference Performance engineer: - Agentic Kernels in Production https://www.baseten.co/blog/agentic-kernels-in-production/ - How we built the new fastest API for GLM-5.2 https://www.baseten.co/blog/how-we-built-the-new-fastest-api-for-glm-52/ - Live draft model training for speculative decoding https://www.baseten.co/blog/live-draft-model-training-for-speculative-decoding/#eliminating-traditional-bottlenecks - Making Kimi K3 Tokenization 18x faster https://www.baseten.co/blog/making-kimi-k3-tokenization-18x-faster-for-million-token-agentic-workloads/ - The Baseten Inference Stack https://www.baseten.co/resources/guide/the-baseten-inference-stack/ - Driving model performance optimization https://www.baseten.co/blog/driving-model-performance-optimization-2024-highlights/ RESPONSIBILITIES - Implement and productionize cutting-edge inference techniques, working deep in runtime internals. That includes quantization, speculative decoding, KV-cache reuse, chunked prefill, LoRA, guided generation for structured outputs, and custom scheduling and routing algorithms. - Profile and optimize inference end to end, from kernel launch overhead and memory layout up to request scheduling, prefill/decode disaggregation, and cache-aware routing. Run cross-layer investigations, such as tracing a tail-latency regression from request timing through routing and batching down to a kernel. - Turn performance into cost savings. Improve tokens per GPU-hour, raise utilization, and give customers and internal teams clear latency/throughput/cost tradeoffs. - Bring up and tune new model architectures on new hardware quickly, often in the same week they're released. - Build benchmarking frameworks that measure real-world performance across model architectures, batch sizes, sequence lengths, and hardware configurations. - Contribute upstream to open-source inference engines (vLLM, SGLang, TensorRT-LLM), and partner closely with model, infrastructure, and customer-facing teams to ship wins.   REQUIREMENTS - Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field. - Experience with one or more general-purpose programming languages, such as Python or C++. - Familiarity with LLM optimization techniques (e.g., quantization, speculative decoding, continuous batching). - Strong familiarity with ML libraries, especially PyTorch, TensorRT, or TensorRT-LLM. - Demonstrated interest and experience in LLMs. - Deep understanding of GPU architecture.   NICE TO HAVE - Proficiency in enhancing the performance of software systems, particularly in the context of large language models (LLMs) - Contributed to vLLM, SGLang, TensorRT-LLM, or another inference engine. - Worked on large-scale distributed serving: autoscaling, load balancing, multi-region or multi-cloud capacity. - Written or optimized GPU kernels (CUDA, Triton, CUTLASS, or similar) - Worked on quantization (FP8/FP4, AWQ, GPTQ) or speculative decoding in production. - Deep understanding of software engineering principles and a proven track record of developing and deploying AI/ML inference solutions. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: San Francisco Bay Area, CA Workplace: Hybrid About Teleport Don't wait for the future of infrastructure. Be part of it. Teleport is the AI Infrastructure Identity Company. We're solving one of the hardest problems in security: giving every human, machine, workload, and AI agent a cryptographically secured identity, improving engineering velocity while maintaining security. We make trusted computing simple. This gives you the freedom, power, and autonomy to build and innovate with confidence. Remote-first and globally distributed, we work with companies like Nasdaq, DoorDash, and Elastic to secure infrastructure for an AI world. ABOUT THE ROLE Reporting to the COO, the VP of Finance will serve as the senior financial executive responsible for the full spectrum of corporate finance, including FP&A, accounting, strategic planning, board reporting, and IPO-readiness. You will manage a high-performing finance team, build the systems and processes that support a scaling infrastructure as a service business, and act as a trusted advisor to leaders across the organization. This is a high-ownership role for a builder who is equally comfortable in the boardroom and in the details. A successful hire will be able to turn complex business data into clear strategic guidance and scale a lean finance function without losing rigor by leveraging the latest technology available. There is not currently a CFO in place, so there is also potential room for growth into that role for high performers. WHAT YOU'LL DO Financial Planning & Strategy - Serve as a strategic thought partner to the COO and CEO — bringing a financial lens to company-level decisions on market positioning, competitive strategy, pricing, geographic expansion, and capital allocation - Co-own the company’s long-range strategic plan alongside executive leadership, shaping not just the financial expression of strategy but the strategy itself - Identify the financial and operational levers that drive sustainable growth, and advocate for resource allocation decisions that reflect Teleport’s most important strategic bets - Own the annual planning and quarterly forecasting cycles, delivering accurate, driver-based financial models across revenue, cost, and headcount - Lead scenario analysis and sensitivity modeling to pressure-test strategic options and support key investment decisions - Translate financial data into clear, actionable insights for the COO, CEO, and Board of Directors by connecting day-to-day performance to long-term strategic goals Accounting & Controls - Oversee all accounting operations including monthly close, revenue recognition (ASC 606), and financial statement preparation - Maintain and strengthen internal controls, ensuring compliance with US GAAP and audit readiness - Manage relationships with external auditors and tax advisors Board & Investor Reporting - Prepare board-level financial packages, investor updates, and management reporting with clarity and precision - Support fundraising, debt financing, and M&A diligence processes as needed - Develop the financial narrative for investors and analysts, underpinned by robust SaaS metrics Business Partnering - Partner closely with Sales, Product, Engineering, and People leaders to drive financial accountability across the business - Own financial metrics and provide regular performance analyses - Support revenue operations, pricing strategy, and go-to-market financial planning Team & Systems Leadership - Lead, mentor, and scale a high-performing finance team including FP&A, accounting, and revenue operations - Drive the selection, implementation, and optimization of financial systems and tools (ERP, FP&A platforms, billing infrastructure) - Build scalable, automated financial processes that support rapid growth and eventual public-company readiness - Champion and model the use of AI and modern technology tools — actively embedding automation, AI-assisted analysis, and intelligent workflows into finance operations to move faster, reduce manual work, and raise the quality of output - Set the standard for technology fluency on the finance team: encourage experimentation with tools like Claude and other AI systems for modeling, reporting, and documentation, and create space for the team to share what works WORKING AT TELEPORT IN THE AGE OF MODERN TECHNOLOGY At Teleport, using the best available tools and systems isn’t a nice-to-have — it’s part of how we work. We expect every Teleporter to actively adopt modern technology to do their job better: move faster, think harder, and produce work they’re proud of. That means embracing automation, better documentation systems, analytics, and tools like Claude regularly, bringing technology into your problem-solving, and sharing what works with your team. WHAT WE'RE LOOKING FOR - 18+ years of progressive financial leadership experience, with significant time as VP of Finance, CFO, or equivalent senior finance executive - Proven record of success at a high-growth B2B Cybersecurity, SaaS or infrastructure technology company in Series D/E/F stages with over $200mln in ARR - Strong command of GAAP accounting, SaaS financial metrics, financial controls, and audit processes - Demonstrated experience supporting a company through key inflection points — Series C+, late-stage private, or IPO preparation - Outstanding communication skills — able to present complex financial matters to executive teams, boards, and investors with confidence and clarity - Proven ability to build and lead high-performing, geographically distributed finance teams - Hands-on experience evaluating, selecting, and scaling financial systems (NetSuite, Workday, Adaptive Insights, or comparable platforms) - Collaborative, data-driven decision-maker who thrives in a fast-moving, distributed environment - Ability to be in-person in our HQ in Oakland, CA, a few times a week for in-person collaboration with the executive team. NICE TO HAVE - CPA, CFA, or MBA from a leading program - Experience taking a company through late stage private funding stages and IPO - Open-source or developer-tools experience. Why Teleport You're joining a company where the problem is real, the team is small, and your work shows up directly in the product. We're not a big company, you won't get lost in a crowd. You'll have the freedom and autonomy to do what you're great at, alongside teammates who care about doing it right and want to see you succeed. The work is collaborative, there's real room to grow, and the mission is one worth showing up for. Remote-first and globally distributed, we're genuinely passionate about what we're building. The Benefits At Teleport, we believe your career is more important than a list of perks. That's why we focus on making your day-to-day the best it can be — giving you the autonomy, access, and support to do the best work of your career. - Extensive health coverage - Annual expense budget - Rest and recovery policies that maximize your ability to recharge - Investment in your future with retirement savings plans - Professional development opportunities Teleport is an equal opportunity employer and does not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classifications protected by federal, state, or local law. Candidate Privacy Notice: For information about our collection and processing of job applicant personal data for this position, please see our Job Applicant Privacy Policy and Notice of Collection at goteleport.com/legal/apply/job-applicant/ http://goteleport.com/legal/apply/job-applicant/

Location: Remote About the Team: Netlify’s Data team helps the company understand and improve the full product-led growth journey, from activation and engagement through conversion, retention, and monetization. We partner closely with Product, Engineering, and Growth to uncover opportunities, evaluate investments, and understand what drives customer and business outcomes. We’re hiring a Senior Staff Data Scientist to deepen how data shapes our product and growth strategy. You’ll develop an end-to-end understanding of the PLG journey, proactively identify opportunities, and turn complex data into hypotheses, experiments, and recommendations that influence where we invest and what we build. This is a highly autonomous role for someone who can move from identifying an important question to shaping the approach, defining success, and driving toward an answer. What You'll Do: Own the analytical understanding of Netlify’s PLG performance across activation, engagement, conversion, monetization, and retention, identifying opportunities before they become requests Partner with Product and Engineering leadership to turn behavioral insights into product bets, defining what to test, how to measure it, and what the results mean Lead experimentation from hypothesis through decision, including study design, methodology, success metrics, guardrails, analysis, and recommendations Apply statistical rigor where it matters while recognizing when there is enough signal to make a decision and move forward, and help teams develop that same judgment Build scalable analytical systems like semantic models, trusted metrics, proactive monitoring, and AI-powered agents  that surface opportunities without waiting to be asked Use AI to investigate faster, automate recurring analytical work, and test more hypotheses without sacrificing the judgment that makes the output useful Identify gaps in measurement, event instrumentation, and metric definitions, and partner with Data and Product Engineering to close them Serve as a trusted analytical partner to PLG leadership, using evidence and product judgment to influence investment decisions and roadmap priorities Influence product strategy through evidence, product instincts, and a clear point of view, without relying on formal authority to do it What You'll Bring: 8+ years of experience in product analytics, growth analytics, or data science, with a track record of high ownership and measurable impact on PLG or consumer product outcomes Deep understanding of product and growth dynamics across activation, engagement, conversion, monetization, and retention Demonstrated ability to turn behavioral data into product hypotheses and carry them from insight through experimentation and measured outcomes Deep experimentation expertise: study design, statistical reasoning, causal inference, and the judgment to know when an experiment has told you what you need to know Experience building analytical systems such as metrics layers, monitoring frameworks, or semantic models that teams can rely on over time An AI-native approach to analysis: you use AI tools actively to accelerate investigation, automate repetitive work, and surface patterns faster A track record of influencing senior stakeholders and product direction through analytical reasoning, clear recommendations, and sound judgment Comfort operating with significant autonomy in ambiguous problem spaces, including determining which questions are most important to answer Strong written and verbal communication skills in distributed environments, with the ability to make complex findings clear and recommendations actionable This Role is a Great Fit If: You're energized by finding the opportunity before anyone thought to ask - proactive discovery is how you naturally work, not a mode you shift into You think like a product person who happens to be exceptionally rigorous with data, not a data person who occasionally weighs in on product You thrive when the problem isn't handed to you - you'd rather define the question worth asking than answer the one that landed in your queue You get excited about building systems that keep working after you've moved on to the next problem You're comfortable making a call with imperfect information and can articulate clearly why you made it You enjoy being a thought partner to senior leaders - shaping how they think about investment and opportunity, not just supporting decisions already made You work well in a remote-first, async environment where written clarity and self-direction matter more than proximity You're drawn to roles where the measure of success is outcomes, decisions made, bets tested, metrics moved, not volume of output produced Applying Not sure you meet 100% of our qualifications? Please apply anyway! When applying please include: A resume or short listing of your job history & skills (link to a LinkedIn profile would be fine). We appreciate a cover letter explaining why you would enjoy working in this role at Netlify to get to know you a bit better, though this is not required and will not impact your application. Our mission is to “build a better web” and that cannot be done without a diversity of skill sets, backgrounds and thoughts. Of everything we've ever built at Netlify, we are most proud of our team. Netlify is an Equal Opportunity Employer. We are devoted to building a team of people with diverse backgrounds and lifestyles. Driving equality empowers our team, enables us to innovate, and helps us maintain a more inclusive environment. We don’t discriminate against employees or applicants based on gender identity or expression, sexual orientation, religion, age, race, military/veteran status, citizenship, pregnancy status, or any other differences. If we can do anything to provide a better interview, i.e. accommodate a disability, then please let us know by emailing accommodations@netlify.com . About Netlify Netlify is the most popular way to build, deploy, and scale modern web applications, empowering everyone from fast moving solo developers to enterprise teams. Millions of developers and organizations rely on Netlify as their platform of choice for composing web applications that are production ready, performant, and flexible. Now, as we embrace the next era of software development, we are embedding the same fluid, intuitive experience into the Agent Experience (AX), making it just as simple for intelligent agents to understand, interact with, and act on our platform as it is for developers. Whether your user is human or machine, Netlify ensures the path from idea to URL is seamless, fast, and deeply reliable. We are a Series D company that has raised over $200M from investors such as Andreessen Horowitz, Kleiner Perkins, EQT, Bessemer, BOND, and Menlo Ventures. As a fully distributed company, we aim to create a company culture where the best idea can come from anywhere and strive to be thoughtful, compassionate, and collaborative in our work. If this sounds like something you’d like to be part of, we’re excited to connect with you! At Netlify, we are committed to a compensation philosophy that prioritizes fairness and equity, positions our employee compensation competitively in the market, recognizes and rewards performance, and takes a comprehensive approach to our rewards package. We anchor our compensation philosophy on a market-based approach, therefore salary ranges may differ depending on the labor cost in a particular location. The salary provided is in addition to robust benefits and participation in Netlify’s equity plan. Our hiring range for this role is targeted at $204,000 - $275,000 for most US-based locations.  Candidates outside the US or in premium markets should consult with their Talent Acquisition partner regarding location-based ranges, as they may be higher or lower than the average US range listed. The starting pay will be determined based on multiple factors, including expertise and skills, market demands, experience, internal equity, and applicable geographic location. These compensation packages and ranges are subject to change and may be modified in the future.

Location: Canada; United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ The Products Team at Docker is looking for a Principal Product Manager to lead components of Docker Sandboxes. You will own and drive this strategic product area from high-level concept design through delivery, adoption, and operation. You will help shape how developers and AI agents use fast, secure, isolated environments across local and cloud workflows. You will work closely with developers inside and outside of Docker, our customers, and our partners to expand our open ecosystem offering and provide value. As the company and ecosystem grow, you will help foster teams eager to continuously build, measure, and learn. To thrive in this role, you will need experience working with developers, deep technical fluency in systems and developer infrastructure, and prior experience as a software engineer. You will need to understand containers, sandboxes/microVMs, virtualization technologies, hypervisors, the software development lifecycle, and how untrusted or agent-generated code can be safely executed and orchestrated. You will need a relentless drive to try new things and an eye for detail. Your long-term success will depend on your ability to own the product roadmap, earn the trust of the developer community, and scale reliable services. Most importantly, you will need to be comfortable taking ownership of big objectives with big goals, working with a cross-functional team, and maintaining a bias for action. RESPONSIBILITIES - You own Docker Sandboxes, its long-term vision, roadmap, revenue, adoption, and results. - You believe in and can succinctly articulate our customers, their workflows, and their pain points. You empathize with the world they live in and the security, performance, compatibility, and cost constraints they work through. - You will engage deeply with developers building AI agents, coding environments, CI and testing systems, and other workloads that require secure, isolated execution, finding solutions for today while optimizing for tomorrow's vision. - You enjoy building infrastructure products that are easy to adopt and use. You will turn complex tradeoffs across isolation, startup time, performance, density, networking, storage, and cost into simple product experiences. - You are comfortable with ambiguity and will guide product definition, feature prioritization, and scope in concert with engineering, design, security, operations, and go-to-market teams. - You are a fan of iterative development, working with customers and cross-functional teams to hypothesize, measure adoption and impact, learn from releases, and continually improve the roadmap. QUALIFICATIONS - You have deep empathy for the needs of developers and are obsessed with talking to your users. - You have prior professional experience as a software engineer, ideally in systems, infrastructure, platform engineering, developer tools, or cloud. - You have strong technical familiarity with sandboxes/microVMs, containers, virtualization technologies, and hypervisors, including the isolation and security boundaries each provides. - You understand the building blocks of modern developer infrastructure, including Linux, container runtimes, orchestration, networking, storage, APIs, and cloud services. - You have experience designing, building, or operating systems that execute customer-provided, untrusted, or agent-generated code at scale. - You are comfortable interacting with a command-line interface and discussing APIs, SDKs, and technical architecture with engineers and developers. - You have experience building B2B or SaaS products, or a background in public cloud and developer infrastructure. - You understand software supply chain and software security concerns, including multi-tenant isolation, identity, secrets management, observability, and reliability. - You can break down complex technical problems into small, releasable, user-valuable features. - You can explain complex ideas simply and communicate effectively in writing, verbally, and visually across diverse stakeholders. - You can analyze qualitative and quantitative data to inform decisions, define success metrics, and prioritize investments. - You have a collaborative approach, experience running products from greenfield to scale, and the ability to work with fast-moving, distributed, cross-functional teams. You are a doer as well as a strategist; we are small and need all hands on deck. WHAT TO EXPECT FIRST 30 DAYS - Get to know Docker: our vision, mission, and values. - Understand the Docker Sandboxes team's mission, product strategy, and technical architecture. - Meet the team along with peers across the business unit and company. - Work closely with designers, researchers, engineers, security partners, and customers to understand user needs and current pain points. - Work with your manager and team to review and create quarterly goals. - Understand the product roadmap, key technical and business tradeoffs, and the data available to make data-driven decisions. FIRST 90 DAYS - Understand the company's and business unit's product vision and how Docker Sandboxes contributes to it. - Provide clarity on product vision, target users, priority use cases, and how the team contributes to the overall success of Docker. - Develop a deep understanding of our developers and customers, how they use isolated environments, and why they choose Docker. - Shape the team roadmap and product strategy in close collaboration with design, engineering, security, and go-to-market peers. - Lead the definition of team OKRs and success metrics for the quarter, and provide clear progress reports. ONE YEAR OUTLOOK - Lead product initiatives across cross-functional teams that make secure, isolated execution simple and valuable for developers and AI agents. - Drive the long-term direction of Docker Sandboxes, including improvements to adoption, ecosystem integration, reliability, scale, unit economics, and ARR. Docker does not offer visa sponsorship for this role. Compensation & Equity Canada CA$255,500 - CA$365,000 + equity United States: $280,000 – $300,000 + equity ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

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 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. THE WORK: - 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. WHAT WE’RE LOOKING FOR: - Strong Linux systems knowledge, particularly processes, virtual memory, filesystems, system calls, scheduling, namespaces, cgroups, and signals. - Experience building or debugging container runtimes, sandboxes, Linux kernel, or similarly low-level infrastructure. - Strong programming ability in Rust, Go, or another systems language, with an interest in becoming productive in both Rust and Go. - Experience profiling and improving systems where memory movement, I/O, synchronization, or kernel interactions dominate performance. - Comfort debugging across abstraction boundaries, from application behavior down through runtimes, drivers, and the kernel. - An ability to turn loosely defined production problems into well-designed, reliable systems. - A desire to own important infrastructure and work closely with both internal teams and customers. RELEVANT EXPERIENCE: 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.

We're looking for a manager to own the performance of our Document Processing team and lead the Processing Supervisors who run it day to day. If you think in systems, lead through others, and measure what matters, this role is for you.

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You'll lead cross-functional delivery teams of 4-5 engineers, reporting to our Head of Engineering. Your job is to make sure your team ships reliably, grows professionally, and doesn't become a bottleneck as LawnStarter scales into new service verticals.

120 000 – 140 000 $