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Location: Bangalore, India 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 Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. ​ During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Our mission is to empower data practitioners to create and disseminate organizational knowledge. dbt Core is the open-source engine at the heart of this mission, used by tens of thousands of analysts and engineers to transform data with the rigor of software engineering. We are looking for a systems-oriented engineer to join the small, expert team that builds and maintains this foundational piece of the modern data stack. This is an opportunity to work on deeply technical, high-leverage problems where your contributions will improve the daily workflow of a massive and passionate open-source community. About The Team The dbt Core team are the stewards of the open-source engine that powers the modern data stack for tens of thousands of practitioners. This small, high-trust group of systems engineers tackles the most fundamental challenges in dbt: ensuring the performance, reliability, and architectural integrity of dbt itself. They not only own the core execution engine but also architect the crucial adapter framework that connects dbt to a growing ecosystem of databases and data platforms. As a Staff Software Engineer on the Core & Adapters team, you will be a steward of the performance, reliability, and architectural integrity of dbt. You will tackle ambiguous, open-ended problems and take ownership of critical systems. What You’ll Do Dive deep into the dbt-core execution engine, using your systems expertise to identify, debug, and eliminate performance bottlenecks in our Python codebase. Architect and implement improvements to our adapter interface, the crucial layer that connects dbt to a growing ecosystem of databases and data platforms, enabling the community to build more powerful and efficient integrations. Debug complex, system-level issues that span from Linux process management and concurrency models to database query planning and network protocols. Lead technical design discussions and contribute to the long-term architectural roadmap for dbt Core, making key decisions about what, how, and when we build to ensure its scalability and reliability for years to come. Mentor other engineers and review contributions from our vibrant open-source community, upholding our high standards for code quality, testing, and design while fostering a collaborative and inclusive environment. Take strong ownership of our distributed systems, troubleshoot complex production issues, and participate in an on-call rotation to maintain high availability and deliver a resilient platform experience. Skills We’re Looking For We are looking for an engineer with a strong performance and debugging mindset, excellent mental models for complex systems, and a deep curiosity for infrastructure and open-source software. Required Qualifications: 6+ years of professional software development experience, with a focus on building and operating backend systems in a production environment. Deep backend engineering experience and proficiency in Python. A systematic, first-principles approach to problem-solving, with comfort navigating and debugging in Linux environments (e.g., understanding process scheduling, memory management, file systems). Solid grasp of database internals, such as query execution engines, storage layers, indexing strategies, and transaction management. Excellent communication skills and a sense of ownership, with the ability to balance technical depth with fast, iterative delivery. Preferred Qualifications: A background in data warehousing, data engineering, or analytics engineering. Professional experience writing production code in Go or Rust. Experience contributing to or maintaining a popular open-source project. Experience building compilers, interpreters, or developer tooling. Familiarity with performance analysis tools like perf or strace . The Team & Our Culture You will join a small, high-trust team of senior and staff-level engineers who are passionate about building robust, well-crafted, and reliable software. We operate in a remote-first, asynchronous-friendly environment that values deep work, clear written communication, and a high degree of autonomy. We are deeply connected to our users and the open-source community, and we believe that the best solutions come from a rigorous, collaborative, and empathetic engineering process. #LI-REMOTE #LI-SA1 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.

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Location: New York City Workplace: Hybrid About Pinecone Pinecone is the trusted AI knowledge company. Its trusted AI knowledge platform—including its Database, Nexus, and Marketplace products—power accurate, fast, and cost-effective AI applications for more than 10,000 customers and 1M developers worldwide. Pinecone's mission is to make AI knowledgeable. For more information, visit pinecone.io http://pinecone.io. About the Team and Role: We are hiring a senior/staff software engineer to help design and build core components of our next-generation knowledge retrieval system built for the AI era – search and retrieval infrastructure that powers high-quality, scalable, and enterprise-grade agentic systems. You’ll build the framework that allows our customers to connect knowledge–synthesized from structured and unstructured data–to modern LLM-powered applications, leveraging the world’s best-in-class vector DB supporting semantic search and hybrid retrieval. This role is ideal for someone who loves backend system architecture, distributed systems, and applied AI infrastructure. It is a high impact role with significant ownership across architecture, performance, and system reliability. Responsibilities: - Design and build scalable platform components leveraging advanced retrieval via query planning, semantic and hybrid search, metadata-aware search, and LLM generation - Design and build optimized indexing pipelines for structured and unstructured data - Build backend services for semantic and hybrid retrieval, knowledge graph construction, and retrieval orchestration - Improve retrieval quality through evaluation and observability frameworks - Design APIs for internal and external user and agentic consumers - Optimize latency, throughput and cost across large-scale inference and retrieval workloads - Drive technical direction for reliability and security What You’ll Bring to the Table: To thrive in this role, you don't need to check every single box, but you should be deeply passionate about how to turn data into knowledge. Systems Expertise - Architectural Depth: You have a proven track record (typically 6+ years) of shipping production-grade backends for large-scale systems. You don’t just write code; you design for high throughput, low latency, and long-term maintainability. - Data Engineering Savvy: You’re comfortable building high-throughput indexing pipelines that handle both the messy world of unstructured data and the rigid world of structured schemas. AI & Retrieval - Retrieval Intuition: You understand that "search" is more than just a keyword match. You have direct experience (or deep theoretical knowledge) in semantic search, vector databases, hybrid retrieval strategies, or with traditional search engines like Elastic or OpenSearch. - RAG & Orchestration: You understand the nuances of Retrieval-Augmented Generation (RAG) patterns, from embedding pipelines and hybrid search techniques to how query planning and metadata filtering can make or break an LLM's performance. Technical - Language Fluency: You are an expert in at least one major language like Go, Rust, C++, Java, or Python. - Infrastructure: Familiarity and experience with modern infrastructure tools, such as Kubernetes, cloud-native architectures, and observability frameworks, as well as infrastructure-as-code tools like Terraform or Pulumi. Ownership & Impact - Product Thinking: You don't just build to spec; you build for the user. You can design clean, intuitive APIs that both human developers and autonomous agents will love. - Ambiguity Navigator: You’re comfortable in a high-growth environment. You prefer "owning a problem" over "executing a ticket." Bonus Points - Experience building multi-tenant SaaS platforms. - Experience with retrieval evaluation frameworks—knowing how to actually measure "good" search results. - Experience with query planning or agentic reasoning loops (e.g., teaching a system how to break down a complex prompt into multiple specific steps). Perks & Benefits: - Comprehensive health coverage including medical, dental, vision, and mental health resources - 401(k) Plan - Equity award - Flexible time off - Paid parental leave - Annual Company Retreat - WFH Equipment Stipend All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.

Location: US Remote Workplace: Remote About Pinecone Pinecone is the trusted AI knowledge company. Its trusted AI knowledge platform—including its Database, Nexus, and Marketplace products—power accurate, fast, and cost-effective AI applications for more than 10,000 customers and 1M developers worldwide. Pinecone's mission is to make AI knowledgeable. For more information, visit pinecone.io http://pinecone.io. About the Team and Role: We are hiring a senior/staff software engineer to help design and build core components of our next-generation knowledge retrieval system built for the AI era – search and retrieval infrastructure that powers high-quality, scalable, and enterprise-grade agentic systems. You’ll build the framework that allows our customers to connect knowledge–synthesized from structured and unstructured data–to modern LLM-powered applications, leveraging the world’s best-in-class vector DB supporting semantic search and hybrid retrieval. This role is ideal for someone who loves backend system architecture, distributed systems, and applied AI infrastructure. It is a high impact role with significant ownership across architecture, performance, and system reliability. Responsibilities: - Design and build scalable platform components leveraging advanced retrieval via query planning, semantic and hybrid search, metadata-aware search, and LLM generation - Design and build optimized indexing pipelines for structured and unstructured data - Build backend services for semantic and hybrid retrieval, knowledge graph construction, and retrieval orchestration - Improve retrieval quality through evaluation and observability frameworks - Design APIs for internal and external user and agentic consumers - Optimize latency, throughput and cost across large-scale inference and retrieval workloads - Drive technical direction for reliability and security What You’ll Bring to the Table: To thrive in this role, you don't need to check every single box, but you should be deeply passionate about how to turn data into knowledge. Systems Expertise - Architectural Depth: You have a proven track record (typically 6+ years) of shipping production-grade backends for large-scale systems. You don’t just write code; you design for high throughput, low latency, and long-term maintainability. - Data Engineering Savvy: You’re comfortable building high-throughput indexing pipelines that handle both the messy world of unstructured data and the rigid world of structured schemas. AI & Retrieval - Retrieval Intuition: You understand that "search" is more than just a keyword match. You have direct experience (or deep theoretical knowledge) in semantic search, vector databases, hybrid retrieval strategies, or with traditional search engines like Elastic or OpenSearch. - RAG & Orchestration: You understand the nuances of Retrieval-Augmented Generation (RAG) patterns, from embedding pipelines and hybrid search techniques to how query planning and metadata filtering can make or break an LLM's performance. Technical - Language Fluency: You are an expert in at least one major language like Go, Rust, C++, Java, or Python. - Infrastructure: Familiarity and experience with modern infrastructure tools, such as Kubernetes, cloud-native architectures, and observability frameworks, as well as infrastructure-as-code tools like Terraform or Pulumi. Ownership & Impact - Product Thinking: You don't just build to spec; you build for the user. You can design clean, intuitive APIs that both human developers and autonomous agents will love. - Ambiguity Navigator: You’re comfortable in a high-growth environment. You prefer "owning a problem" over "executing a ticket." Bonus Points - Experience building multi-tenant SaaS platforms. - Experience with retrieval evaluation frameworks—knowing how to actually measure "good" search results. - Experience with query planning or agentic reasoning loops (e.g., teaching a system how to break down a complex prompt into multiple specific steps). Perks & Benefits: - Comprehensive health coverage including medical, dental, vision, and mental health resources - 401(k) Plan - Equity award - Flexible time off - Paid parental leave - Annual Company Retreat - WFH Equipment Stipend All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.

Location: Remote, Global ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. ABOUT THE ROLE We're looking for a Senior Data Analyst, Marketing to join our Data Intelligence team and build the measurement foundation that tells us what's actually working across paid and PLG channels. You'll work closely with Marketing, Growth, and channel owners, helping us move past platform-reported metrics and vanity numbers into causal, trusted answers about what drives pipeline and revenue. This role is ideal for someone who thrives in async, fast-paced environments, is AI-forward in how they work, and is excited about building a measurement function from the ground up. WHAT YOU'LL BE RESPONSIBLE FOR Marketing Measurement Strategy - Own the end-to-end marketing measurement strategy across experimentation, media mix modeling, and attribution for paid and PLG channels - Establish and evolve the attribution framework: how platform data, multi-touch attribution, MMM, and experiments work together to inform decisions - Translate complex measurement outputs into clear recommendations on where to invest, what to cut, and how to hit pipeline, revenue, and efficiency targets (CAC, payback, LTV to CAC) - Serve as the subject matter expert for marketing measurement, educating stakeholders on causality, model uncertainty, and the limitations of platform-reported metrics Incrementality and Experimentation - Design and run always-on incrementality tests, user-level and geo-level, to quantify the causal impact of key channels, campaigns, and tactics - Calculate incremental lift, incrementality percent, and incremental ROAS/CPA, and use these to guide budget reallocation - Build repeatable analysis templates and playbooks for experiment design, analysis, and readouts so results are consistent across teams - Partner with channel owners (paid search, paid social, lifecycle, website/SEO) to build and prioritize a experimentation roadmap, embedding it into campaign planning, creative testing, and audience strategy Media Mix Modeling and Forecasting - Build and maintain media mix models using historical data to estimate channel contribution, marginal returns, and optimal budget allocation - Incorporate seasonality, adstock, and saturation effects, and continuously validate model performance through backtesting and reconciliation with experiment results - Turn MMM insights into budget scenarios and forecasts across channels and regions, communicated in a way non-technical stakeholders can act on Context, Tooling, and Data Integrity - Own and build the context and skills that let marketing teams run accurate self-serve analytics: metric definitions, model documentation, and reusable analysis patterns, not just dashboards - Use AI tools as a core part of daily work to accelerate analysis and go deeper than a traditional analyst workflow allows, and help establish AI-forward practices across the marketing org - Identify gaps and inconsistencies in marketing data (tracking, spend, platform exports) and work cross-functionally to fix them at the root rather than patching around them downstream You Might Be a Good Fit If You - Have 6+ years in marketing analytics, data science, or a related role, with a focus on performance marketing and/or PLG growth - Deeply understand marketing attribution, incrementality testing, and media mix modeling, and how they complement each other rather than compete - Are advanced in SQL and at least one statistical programming language (Python or R) for experiment analysis and modeling - Have hands-on experience designing, running, and interpreting experiments across digital marketing channels: search, social, display, email, in-product - Have built or worked closely with MMM and/or advanced attribution models, ideally in a consumption or BaaS environment - Have strong business acumen and fluency in growth metrics: CAC, LTV, payback period, conversion rates, funnel performance - Think in terms of self-service and scale: your instinct is to build tools and frameworks that make marketing teams independently capable, not to become the bottleneck for every "did this work" question - Can hold technical and strategic context at once: you're as comfortable in a model's residuals as you are in a conversation about budget tradeoffs - Are AI-forward in how you work: you use LLMs and AI tooling habitually and have a clear point of view on how it changes what an analyst can do - Communicate clearly to non-technical stakeholders and know how to make causal nuance land in a business conversation - Thrive in async, autonomous environments and are energized by building a measurement function from the ground up Nice to Haves - Experience in BaaS, DevRel or open source dev tool companies, connecting marketing spend to pipeline and revenue outcomes - Experience with applied econometrics, time-series modeling, or Bayesian methods for MMM and experimentation - Familiarity with common marketing and analytics tools (Google Ads, Meta, LinkedIn, web analytics, CDPs, BI/visualization tools) WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: 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 Senior Product & Commercial Counsel will report to Docker's Head of Legal. This is a hybrid role at the intersection of product counseling and commercial negotiation. You will serve as the primary legal partner to Docker's Product Management and Engineering teams across the full product lifecycle, from concept and design through launch, monetization, and end of life, while also assisting with negotiating the commercial provisions that bring those products to market. Your subject matter depth in open source software licensing and cloud services will directly impact how Docker builds, licenses, and delivers its products to millions of developers and thousands of enterprise customers worldwide. Your work will be instrumental in helping the Company reach its growth objectives while protecting its intellectual property and managing product and licensing risk. This position will be a core member of the extended Legal team, working cross-functionally with Product, Engineering, GRC, Sales, and Deal Desk, with exposure to Docker's senior executives and the opportunity to grow beyond the initial responsibilities and role based on expanding company needs. RESPONSIBILITIES: - Primary function will be to serve as embedded product counsel to Docker's Product Managers and Engineering teams, providing pragmatic, business-oriented advice on new products, features, pricing and packaging changes, Early Access and beta programs, and end-of-life decisions. - Advise on open source software matters, including license analysis and compatibility (Apache, MIT, BSD, GPL, LGPL, AGPL, and source-available licenses), inbound and outbound OSS usage, contribution and CLA policies, and compliance obligations across Docker's products and distribution channels. - Secondary function as needed, draft and maintain Docker's product-facing legal terms, including service-specific terms, subscription and licensing agreements, Early Access and beta terms, fair use and acceptable use policies, and documentation supporting new monetization models. - Structure and negotiate commercial provisions in customer and partner agreements relating to product licensing, cloud services, hybrid on-premise and SaaS deployments, IP ownership, indemnification, warranties, and support commitments, in partnership with Sales and Deal Desk. - Counsel on AI-enabled product features, including training data provenance, output ownership, third-party model licensing, and evolving AI regulatory requirements. - Collaborate with GRC on the intersection of product design and regulatory obligations, including software supply chain security expectations and emerging regimes such as the EU Cyber Resilience Act. - Support IP strategy, including trademark usage guidelines, brand protection in product and marketing contexts, and coordination with outside counsel on IP matters. - Monitor and analyze legal and regulatory developments affecting developer tools, open source, cloud services, and AI, advising the organization on necessary updates and adjustments. - Help build scalable playbooks, templates, and self-service resources that allow Product and GTM teams to move quickly within well-defined guardrails. QUALIFICATIONS: - J.D. from an accredited law school and active membership in good standing in at least one U.S. state bar. - 6+ years of relevant legal experience, with a meaningful portion in-house at a software, cloud, or developer tools company; a combination of law firm and in-house experience is ideal. - Deep familiarity with open source software licensing, including copyleft and permissive license regimes, license compatibility analysis, and OSS program governance. - Hands-on experience drafting and negotiating SaaS, software licensing, and cloud services agreements, including enterprise customer negotiations of IP, indemnity, and liability provisions. - Working technical fluency with developer software concepts such as virtual containers, registries, CI/CD, APIs, and software supply chain security; direct familiarity with Docker's products or comparable developer platforms is a strong plus. - Understanding of AI and LLM legal issues, including model licensing, training data, and applicable regulatory frameworks such as the EU AI Act. - AI-Native work capability. - Excellent written and verbal communication skills, with the ability to translate complex legal concepts into clear, actionable guidance for Product Managers and Engineers. - Sound, risk-calibrated judgment and a bias toward practical solutions that enable the business. - Proven ability to work effectively in a fast-paced, deadline-driven environment and to manage competing priorities independently. - Ability to collaborate with diverse teams and build strong working relationships. WHAT TO EXPECT FIRST 30 DAYS - Meet with the Head of Legal to understand Docker's product, licensing, and IP vision. - Read Docker's product terms, subscription agreements, and OSS policies. - Read Docker's Legal, Products, and security-related Notion pages. - Become familiar with Docker's product portfolio, licensing models, and distribution channels. - Forge relationships with Docker's Product Management, Engineering, GRC, Deal Desk, and Sales teams. - Begin reviewing product feature launches and customer requests for product-related commercial terms. FIRST 90 DAYS - Take ownership of the legal review process for new product and feature launches. - Establish a formalized intake and review cadence with Product Management for roadmap items with legal implications. - Deliver a fact and data driven assessment of Docker's product terms and OSS compliance posture with a 6 month and 12 month improvement roadmap. - Lead the negotiation of product and licensing provisions in active customer and partner deals as assigned by the Head of Legal. - Collaborate with Docker counsel on customer contractual requests relating to licensing, IP, and cloud services and provide feedback. - Become familiar with Docker's Compliance program and controls. FIRST YEAR - You have maintained an appropriate meeting cadence with Docker's Product Management, Engineering, GRC, Deal Desk, and Sales teams. - You have provided a monthly update report to the Head of Legal for eStaff updates. - You have built and deployed playbooks and templates that streamline product legal review and commercial negotiations to meet the demands of domestic and international growth. - You have built the brand of the product legal function as a trusted partner, industry leader, and facilitator of Docker's growth and customer satisfaction. Docker does not offer visa sponsorship for this role.   Compensation & Equity United States: $178,500– $255,000 + 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

Задачи: - самостоятельно дорабатывать функционал платформы на Java (21); - тестировать новый функционал; - анализировать ТЗ и согласовывать планы выполнения работ для текущих задач; - локализовывать дефекты, расследовать инциденты и повышать качество программного продукта. Требования: - опыт работы бэкенд-разработчиком - от 3-х лет; - опыт работы с системами управления версиями GIT; - опыт коммерческой разработки; - опыт разработки решений в монолитной и микросервисных архитектурах; - опыт работы с реляционными БД и SQL; - опыт работы с REST/API и Kafka; - опыт работы с OAuth; - базовые знания и опыт работы с CI/CD на уровне понимания и небольшой донастройки пайплайнов; - проактивность при выполнении рабочих обязанностей; - развитые коммуникационные навыки. Желательные требования: - базовые навыки работы в Linux; - умение работать с системами логирования и мониторинга, Distributed tracing; - опыт работы с Gitlab.

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Location: Americas Remote Hi, I'm Paul, VP of Engineering at Customer.io . We're always looking for thoughtful, driven Engineering Managers to add to our org. Some of our teams are building customer-facing product and workflows; others keep our distributed systems reliable, observable, and ready to scale. Whichever kind of problem energizes you, if you lead people well, hold a high technical bar, and drive work to completion without waiting to be handed a plan, we want to hear from you. About Customer.io Over 9,000 companies—from scrappy startups to global brands—use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. Customer.io powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data—what people do or don't do inside a web or mobile app. Under the hood: Go, React, and AI help us ship fast and scale with confidence. What we value Ownership. You set direction and see initiatives through. You create clarity when things are murky and set the path forward rather than waiting for one to be defined, and you're motivated by impact—not just intention. You hold yourself and your team accountable to shipping, not just staying busy. Leaders who can do both. You operate at the strategic level and stay close to the technical work. You can align stakeholders on a plan and earn your engineers' respect in the same day—you don't choose between vision and execution, you hold both. A drive to execute through resistance. Competing priorities, skeptical stakeholders, tired teams—you've moved work forward anyway. You name the resistance, make the call, and own the milestones and the misses. An AI-first mindset. AI is central to how you build and how you lead your team to build. You have a real, concrete point of view on AI-native development, you use agentic tooling yourself, and you bring it into how your squad operates. A healthy skepticism for "the way things are done." You bring rigor and pragmatism. Best practices matter—but never more than forward motion. You know when to build, when to buy, and when to wait—and you're comfortable making the call with incomplete information, then adjusting as you learn. What you'll do Care deeply about our customers and their outcomes Lead your squad to deliver real customer value by owning projects end to end—from planning through delivery, quality, and follow-through Drive execution: set milestones, keep work moving through ambiguity and competing priorities, and ship in small, observable increments rather than waiting for a release window Make confident decisions when the path isn't obvious, and lead your team through them Set the operating rhythm that helps your team move fastest, rather than defaulting to ceremony for its own sake Ensure your squad's solutions are scalable, architecturally sound, flexible, and secure, with strong peer-review, QA, documentation, deployment, logging, and monitoring practices Stay close to the work—jump into design reviews, architecture calls, and incidents rather than watching from a distance Provide direct, timely, and specific coaching, and create meaningful development opportunities for your direct reports Participate in an on-call rotation as required, supporting the reliability of the systems you build Hire, onboard, and manage performance so the right people are in place to hit your squad's goals Bring an AI-native perspective—use AI tools to accelerate the team's velocity and help everyone prototype faster and ship smarter Partner across engineering and other departments to align efforts with customer success, and reach higher when our customers are having a bad day What we're looking for 3+ years managing engineers at a SaaS company (B2B or B2C), ideally early-to-mid-stage A track record of driving execution—concrete delivery outcomes with milestones, dates, and "I drove" ownership, especially in complex or fast-moving environments A strong technical background—you can hold your own in architecture conversations and design reviews, represent your squad's technical choices across the company, and you've shipped real work recently enough to stay credible Comfort operating with high autonomy and little prescribed structure—you create your own clarity and make difficult tradeoffs between competing priorities Demonstrated AI-native leadership—not just personal fluency, but bringing AI-first practices into how your team builds Experience building high-performing, inclusive, and collaborative teams Clear, concise, and direct communication, both verbal and written Compensation & Benefits We believe in transparency. Starting salary for this role is $185,000-$215,000 USD (or equivalent in local currency) depending on experience and subject to market rate adjustment. In addition to base salary, this role includes an equity grant in the form of stock options, so you share in the success you help build. We know our people are what make us great, and we're committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family . We also offer 16 weeks paid parental leave , unlimited PTO , stipends for remote work and wellness, a professional development budget, and more. See full benefits here → Our Process No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision. Application - We review everyone with care. Recruiter Call (30 mins) - Let's chat about what you're looking for, your leadership style, and how we work. Hiring Manager Interview (60 mins) - Deep dive into your experience leading teams, your technical philosophy, and how you think about building organizations. People Partner Interview (30 mins) - Explore your leadership style, management philosophy, and approach to supporting high-performing teams with our engineering people partner. Technical Interview (60 mins) - Engage in a collaborative system design conversation focused on scaling challenges. Take-Home Assignment - Submit a short written retrospective on a project you’ve led as an Engineering Manager. Retrospective Review Call (60 mins) - We’ll use your written submission as the foundation for a deeper conversation. All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process.

Location: Home based - EMEA Canonical has re-imagined hiring. We have created a Talent Science team that has a mission to ensure that we follow objective, scientifically rigorous and efficient processes to select the very best new colleagues regardless of location, culture or background. We are not recruiters, but our work connects hiring strategy to performance outcomes. We work closely with our key stakeholders to ensure that decisions are being made in the right way and that our hiring model supports the selection of world class talent. We lead an effective hiring ecosystem to deliver talent acquisition excellence. We leverage data to enable evidence-based decisions, weaving behavioural science throughout our selection process, working closely with our Hiring Leadership team who drive hiring at Canonical. Due to the growth of the business we are seeking a set of new leaders to drive delivery excellence. You will work directly with the Global Head of Talent Science to plan and drive work within the team against our strategic objectives. With overall accountability for project delivery relating to hiring outcomes you will drive efficiencies and create new processes whilst coaching and developing team members to grow their careers. You will bring an analytical and objective approach to work and be seasoned in making data driven decisions relating to talent outcomes. Your experience will include being able to plan and lead project roadmaps, experience interacting with senior leadership on talent related topics leveraging your thought leadership experience and the ability to influence and steer talent agendas internally. You will be capable of stepping up to lead the function when required. Location: This role will be based remotely in the EMEA region. The role entails Leading and delivering the strategic Talent Science project roadmap using exceptional project management capability and influencing skills to manage multiple projects at any given time. Leveraging expertise from your career to date to design and implement solutions to complex problems that ultimately ensure we hire exceptional talent. Ensuring all talent selection initiatives map to high performance outcomes and career frameworks. Designing professional processes and frameworks, allowing efficient delivery of our agenda. Coaching and mentoring team members to grow and develop skill sets specifically around analytical capabilities and thought leadership, developing training materials and documentation to support team members. Driving and representing the team in the absence of the Head of, acting as a credible and trusted adviser and an inspiring leader. Working closely with company leaders to understand, appreciate and communicate our vision for talent at Canonical. What we are looking for in you Exceptional academic track record from both high school and university, with an undergraduate degree in a psychology or people based subject. A track record of team leadership in a talent function from the technology or consulting industry, with exceptional project management, to lead roadmap execution and delivery. Deep understanding of talent selection, with a technological mindset to create automation's and products to drive hiring efficiencies. Advanced analytical ability to dissect and analyse data, using either SQL, Python and/or statistical analysis. Exceptional written and spoken English with strong presentation skills for a senior audience. Ability to travel internationally 2-4 times a year for company events. Nice-to-have skills Advanced psychometric assessments with an excellent understanding of the marketplace and vendors A deep understanding of human behaviour and what drives intrinsic motivation Experience of using Superset and advanced dashboarding What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. Canonical is an equal opportunity employer. We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

We are a global algorithmic trading firm with an advanced technology stack, driving the full trading cycle — from market research and strategy design to algorithm development and software engineering. Our strength lies in deep market expertise and the continuous evolution of our infrastructure to stay ahead of the industry. Responsibilities: — Work through high-level business and technical requirements with the product, trading, and engineering teams, then build the resulting platform features. — Design, build, and maintain core platform components in Rust: exchange and broker gateways, data pipelines, monitoring tools, and algo trading infrastructure. — Optimize latency, throughput, and stability based on measurements and load testing. Low latency, reliability, and determinism are hard requirements. — Add observability to new components (metrics, logs, tracing, alerts, dashboards) so execution issues get caught early. — Diagnose incidents in the trading loop, find the root cause, write up the analysis, and fix the problem so it does not recur. — Ensure quality through automated (unit, integration, performance) and manual testing with QA, and maintain the test harnesses and integration suites that validate scenarios before production. — Document modules, service contracts, integration rules, and operational runbooks. — Help design and decompose features and epics, taking the product and trading side and operational risk into account. Qualifications: — 5+ years of relevant experience building low-latency, high-reliability systems. — Extensive experience in Rust. — Good understanding of computer systems and software architecture: Linux, networking, data structures and algorithms, concurrent and parallel programming, distributed computing, and performance optimization. — Strong engineering fundamentals and a preference for readable, maintainable code and sensible testing. — Takes ownership of tasks through to production and works to clear blockers, including pushing peers when needed. — Higher technical education or equivalent professional experience. Nice to have: — Familiarity with a trading domain: market data, trading protocols, operational risk. What we offer: — Remote-first: work from anywhere. — Tech-driven environment: no bureaucracy, legacy systems, or tech debt. — Growth & development: work with top talent in a fast-paced, innovation-driven culture. — Perks: medical insurance, sports benefits, home office setup, and educational support.

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Location: North America Workplace: Remote 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 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. Quality is our competitive advantage. Every member of our fully remote team is a maker at heart, caring deeply about the quality and feel of our work. While the industry optimizes for speed and metrics alone, we believe that craft and quality have lasting value. Quality creates gravity — it pulls people toward our team and product rather than requiring us to push. This philosophy drives everything we do, from product decisions to hiring choices. For this role, we expect robust design skills, sharp product thinking, and the ability to engage in technical discussions. We work in small, autonomous project teams, where engineers are paired tightly with designers to explore ideas, build prototypes, deploy internal builds, and ultimately ship to customers. You will be a key element of projects from beginning to end. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in North America. You can work from anywhere within this region. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you'll do - Own the experience of our iOS and Android mobile apps, including guiding the adaptation of desktop features to mobile - Pair closely with mobile engineers and product leads to initiate and complete mobile-specific projects, no hand-offs - Take opportunities to redesign or refine key screens and flows, as well as smaller quality issues and “paper cuts” as you use Linear - Create mockups, prototypes, and high-fidelity visuals to communicate ideas and describe their execution - Guide and inspire fellow designers through collaborative critique of work-in-progress across both mobile and desktop platforms - Use and improve our lightweight design system components - Help with hiring new teammates that can elevate our team and product What we’re looking for - 5+ years experience designing software, with mobile-specific emphasis - Courage to ask questions, experiment, and advocate for what you feel is right - Humility to accept feedback, adapt your thinking, and iterate toward the best solution - Experience with prototyping directly in code, or with tools like Figma, Origami, etc - Ability to distill problems and feedback, then design clear, focused solutions - Effective written and verbal communication skills — much of our work is async 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 including early exercise in the US and extended exercise windows - Daily meal and coffee stipend on every workday - Paid co-working space or desk - 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 - Remote-first with no required commute Learn how we think and work - Part I https://linear.app/blog/a-design-reset and Part II https://linear.app/blog/how-we-redesigned-the-linear-ui of how we redesigned the Linear UI - Our hiring process: How we hire at Linear https://linear.app/now/how-we-hire-at-linear - Read me https://linear.app/readme a story about our mission - Why and how we do work trials https://linear.app/blog/why-and-how-we-do-work-trials-at-linear Linear blog post - How we use AI in design https://designerfund.substack.com/p/ai-design-linear feature of Linear's design team - Crafting quality that endures https://www.youtube.com/watch?v=pCil7YNhNCU Config keynote by our Co-founder & CEO, Karri Saarinen - Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear 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. A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app http://linear.app email address, and all open roles are listed at linear.app/careers http://linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to security@linear.app.

Location: Remote Who we are Our mission is to bring clarity and control to the world's most complex codebases. AI is accelerating code creation, but the infrastructure to understand, oversee, and evolve that code hasn't kept pace. Sourcegraph gives engineering organizations full visibility across their systems, precise context for their agents, and the ability to execute coordinated code changes at scale. As agentic development becomes the dominant engineering paradigm, we provide the context layer teams need to take control of their codebase. With Code Search, Deep Search, MCP, and Agentic Batch Changes, we deliver on that mission today - giving engineering teams and their AI tools the cross-repo context to navigate massive codebases with confidence, and the ability to make changes across hundreds of repositories at once. Companies like Stripe, Reddit, and Leidos rely on Sourcegraph to ship faster and with higher quality. We're backed by a16z, Sequoia, and Redpoint, and proud to operate as a globally distributed team that values high agency, direct communication, and customer love. If you want to build the infrastructure that lets every engineering team - and every agent they deploy - operate on their codebase with confidence, join us. Hours & location 🌎 While we hire almost anywhere in the world, we have a preference for someone to reside in the US for this role. However, if you feel qualified, we welcome you to apply regardless of location. No matter what, working hours must overlap with PST for at least 20 hours/week. Preferred locations: USA Why this job is exciting We are looking for a deeply technical, pragmatic Product Manager to help shape and deliver products for developers and the AI agents working alongside them. This will initially be the primary Product Manager supporting a small, fast-moving engineering organization. Rather than being embedded within a single team, you will work across several engineering teams to identify priorities, organize customer and product feedback, define requirements, guide products through the experimental, beta, and general availability lifecycle, and enable our Marketing and Go-To-Market teams to bring it to the world . You will spend significant time working directly with customers, engineering leaders, and developers to understand their needs and translate them into clear product decisions. You will need enough technical depth to discuss implementation tradeoffs, evaluate developer workflows, and represent the product when an engineer is not in the room. You will also need the ability to crisply communicate with non-developers, internal and external, about the value that Sourcegraph delivers. This is an opportunity to have an outsized impact within a small organization operating much like a startup, while benefiting from Sourcegraph’s enterprise distribution and access to customers with some of the largest and most complex codebases in the world. 📅 Within one month, you will… Ramp up on Sourcegraph’s products, customers, technical architecture, go-to-market pitch, and product strategy. Build strong working relationships with engineering leaders and the teams you will support. Join customer conversations and develop an understanding of their workflows, pain points, and priorities. Review and begin organizing existing customer feedback, product ideas, and active experiments. 📅 Within three months, you will… Establish a clear process for gathering, organizing, and prioritizing product feedback across teams. Translate customer problems into clear product requirements, specifications, and success criteria. Help teams make pragmatic prioritization decisions across customer requests, product investments, and technical work including market research and competitive analysis. Support the product lifecycle of experimental and beta features, including customer discovery, iteration, launch planning, and measurement. Provide greater clarity beyond engineering on what we are building, why it matters, and how we will determine whether it is successful. 📅 Within six months, you will… Own product prioritization and planning across the engineering teams, and act as the glue between EPD, revenue, and marketing. Guide key products from early experimentation through beta and general availability. Develop a strong understanding of Sourcegraph’s customers and become a trusted representative of their needs. Establish scalable systems for product discovery, feedback management, specification, launch, pricing and packaging, and iteration. Help define the broader product strategy for how developers and AI agents make changes across large and complex codebases, and represent that vision in public. Improve the organization’s ability to make focused, evidence-based product decisions without introducing unnecessary processes. Represent Product and Engineering across the company, supporting sales enablement and product marketing functions. About you You are a deeply technical Product Manager who is comfortable operating across several teams and product areas at once. You can move between customer discovery, strategy, product specifications, prioritization, and launch execution based on what the organization needs most. You are energized by startup environments where roles are broad, context changes quickly, and progress depends on people taking ownership beyond narrowly defined responsibilities. You do not need a large product organization, extensive research support, or a mature operating process to make effective decisions. You are comfortable creating structure where it is useful while avoiding process for its own sake. You are pragmatic. You know that the best product decision is not always the most ambitious or technically sophisticated one. You consider customer value, engineering effort, product quality, strategic importance, and speed when helping teams determine what to build. You have meaningful experience with software development, whether through a previous engineering role or sustained hands-on coding experience. You understand how developers work and can discuss technical constraints and tradeoffs credibly. You can explain and defend product decisions with customers, executives, and engineers, even when the engineering team is not present. You are comfortable spending significant time with customers. You ask thoughtful questions, identify the underlying problems behind feature requests, and distinguish between an individual request and a broader market need. You can turn fragmented feedback into actionable insights and clear product direction. You are also an excellent communicator. You tell the story behind why a product or initiative matters, creating alignment across engineering and the broader organization. You bring clarity to ambiguous problems without pretending to have certainty where it does not exist. Because this role will work closely with leaders in Eastern Time and with customers primarily located in North America, you must have substantial working-hour overlap with the Eastern Time zone. 5+ years of experience working in product management, including experience within an early-stage company, startup, or similarly small and fast-moving organization. Previous professional software engineering experience or substantial hands-on coding experience. Experience building technical products for developers, engineering teams, or other highly technical users. Experience working directly with customers throughout product discovery, development, beta testing, and launch. Experience translating customer problems and technical concepts into clear product requirements and specifications. Experience prioritizing work across multiple teams, stakeholders, and competing customer needs. Ability to operate as the primary Product Manager across several engineering teams rather than within one narrowly defined product area. Strong understanding of software development workflows, Git, source control, and modern developer tooling. Excellent written and verbal communication skills, including the ability to communicate credibly with both engineers and customers. Demonstrated ability to use qualitative feedback, product data, and strategic context to make pragmatic product decisions. Ability to work effectively with significant Eastern Time zone overlap. Nice-to-haves: Experience building products involving AI agents, coding assistants, code generation, or large language models, and a strong stance on how AI will change the way software is being built. Experience with developer tools, code search, code intelligence, compilers, IDEs, or large-scale code transformation. Experience working with enterprise customers and complex software development organizations. You enjoy writing code and are comfortable exploring or contributing to a production codebase. Level 📊 This job is an IC4. You can read more about our job leveling philosophy in our Handbook. Compensation 💸 We pay above-market salaries because we want to hire exceptional people who can focus on building great products, not worrying about paying bills. As an open and transparent company, our compensation philosophy and pay bands are visible to every Sourcegraph teammate, and we strive to make our approach equitable, explainable, and competitive. Your base salary is determined by the IC4 pay band for your location zone (1-4). Our pay bands are informed by market data and designed to ensure competitive compensation wherever you live. During the recruiting process, we'll discuss the range applicable to you based on job level, relevant skills, experience, qualifications, and location zone. 💰The starting salary for the IC4 pay band in each zone is: Zone 1: $230,450 Zone 2: $184,360 📈 In addition to competitive cash compensation, we offer meaningful equity (because when Sourcegraph succeeds, we want you to succeed, too) and generous perks & benefits . Interview process Below is the interview process you can expect for this role (you can read more about the types of interviews in our Handbook). It may look like a lot of steps, but rest assured that we move quickly and the steps are designed to help you get the information needed to determine if we’re the right fit for you… Interviewing is a two-way street, after all! We expect the interview process to take 5.25 hours in total. 👋 Introduction Stage - we have initial conversations to get to know you better… [30m] Recruiter Screen [45m] Hiring Manager Screen 🧑‍💻 Team Interview Stage - we then delve into your experience in more depth and introduce you to members of the team, including cross-functional partners… [60m] Async writing project [30m] Review of proposal [45m] Product Manager overview of past projects [45m] Resume Deep Dive 🎉 Final Interview Stage - we move you to our final round, where you gain a better understanding of our business and values holistically… [30m] Values [30m] Leadership We check references and conduct your background check Please note - you are welcome to request additional conversations with anyone you would like to meet, but didn’t get to meet during the interview process. Learn more about us You can learn more about what it is like to work at Sourcegraph by reading our handbook . We are an ambitious team who are collectively working hard to build the most influential company in the world. You can read more about our culture , competitive compensation and benefits here. Sourcegraph is an equal opportunity workplace; we welcome people from all backgrounds. Sourcegraph participates in E-Verify for U.S. Employees.

Location: Berlin Office; Bosnia; Romania; Norway; Estonia; Latvia; Slovenia; Netherlands; Hungary; Portugal; Poland; Serbia; Germany; Austria; Finland; Albania; Lithuania; Slovakia; Ireland; Bulgaria; Denmark; Belgium; Czech Republic; United Kingdom; Croatia; Spain; Greece 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.   Your main goal will be to make n8n's Core Platform ready for the company's next stage of growth: more scalable, reliable, secure, and flexible as customer usage and technical complexity increase. You'll own the foundations that everything else, including our AI and agent capabilities, is built on.   To do so, here are your responsibilities:   OWN THE CORE PLATFORM STRATEGY & ROADMAP - Define and communicate the product strategy and roadmap for the Core Platform in partnership with Engineering and Product leadership. - Prioritize foundational investments based on customer impact, enterprise needs, technical risk, and engineering effort, and make trade-offs between near-term customer needs, technical debt, and long-term architecture explicit. - Lead product discovery for technically complex problems, engaging directly with enterprise customers and internal customer-facing teams.   SCALABILITY, RELIABILITY & EXECUTION ENGINE - Drive work on the scalability and reliability of n8n's execution engine, including areas like worker pools and distributed execution. - Improve the reliability of triggers and execution behaviour across complex deployment setups, from multi-main Cloud environments to self-hosted enterprise installations. - Shape a more secure and flexible approach to executing code within n8n.   MAJOR RELEASES & CROSS-ORG ALIGNMENT - Drive the planning and release of major or breaking platform versions, including migration strategy, stakeholder communication, and risk management. - Establish clear success measures and keep the squad accountable for outcomes, not only delivery. - Act as the bridge between the Core team and the wider org: Product, Sales, Solutions Engineering, Customer Success, and Support, making platform trade-offs legible without oversimplifying them. - Treat internal product teams as customers of the platform: proactively mine their roadmaps for implicit platform requirements and turn cross-cutting needs into explicit Core Platform work before they become blockers.   REQUIREMENTS   Must-haves - Platform product experience: You have 5+ years in Product, with at least 2 to 3 years on platform, infrastructure, developer-facing, or backend/API products. - Technical depth: You're credible with senior engineers. You can reason about distributed systems, execution models, and reliability/scalability trade-offs, and hold your own in an architecture discussion. You're at home with non-functional requirements, where the details are the product. - Complex delivery track record: You've led cross-team technical initiatives with real delivery risk, ideally including a migration or breaking change. - Prioritization under ambiguity: You make trade-offs explicit and connect foundational or technical-debt work to customer and commercial outcomes. - Ownership and autonomy: You grab problems without being asked, fix what you see broken, and drive outcomes without waiting for direction. - Exceptional communication: You make complex platform topics understandable for technical and non-technical audiences alike. - Enterprise platform reality: You understand what running software in customer-controlled environments means, including self-hosted, air-gapped, and restricted deployments   Nice-to-haves - Hands-on ability: You can read code or prototype, even if you're not shipping it. - Enterprise exposure: You've worked with B2B SaaS requirements like security, compliance, or deployment complexity. - Security partnership: You're comfortable working with security teams on code execution, isolation, or compliance topics. - Domain familiarity: You know workflow automation, orchestration, or open-source / developer-community products. - Writing culture: You default to writing things down to create clarity and alignment. 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.

Who we are: Action1 is an autonomous endpoint management platform trusted by thousands of organizations, including many Fortune 500 companies. Cloud-native, infinitely scalable, highly secure, and configurable in 5 minutes—it just works and is always free for the first 200 endpoints, with no functional limits. By pioneering autonomous OS and third-party patching with peer-to-peer patch distribution and real-time vulnerability assessment without needing a VPN, it eliminates routine labor, preempts ransomware and security risks, and protects the digital employee experience. In 2025, Action1 was recognized by Inc. 5000 as the fastest-growing private software company in America. The company is founder-led by Alex Vovk and Mike Walters, American entrepreneurs who previously founded Netwrix, a multi-billion-dollar cybersecurity company. Introduction: Action1 is transforming endpoint security for modern IT teams. As we continue our evolution from SMB to enterprise, we are hiring a high-performing Account Executive to drive complex, multi-stakeholder sales cycles across mid-market and enterprise organizations in the United States. This is a quota-carrying, full-cycle role focused on landing and expanding mid-market and enterprise accounts. You will engage directly with IT Directors, Security Leaders, Infrastructure teams, and executive stakeholders to position Action1’s patch management and endpoint security platform as a strategic solution. We’re looking for someone who understands how enterprise cybersecurity buying works — longer sales cycles, multiple decision-makers, technical validation, procurement navigation — and who thrives in a high-growth, remote-first SaaS environment. If you’ve successfully sold cybersecurity or adjacent IT solutions into enterprise accounts and enjoy building pipelines as much as closing, this role is for you. What you'll do Drive Mid-Market to Low-End Enterprise Revenue Growth: Own a defined territory and meet or exceed enterprise quota targets through disciplined pipeline generation and deal execution. Manage the Full Sales Cycle: Lead opportunities from prospecting through close — including discovery, stakeholder mapping, value alignment, proof-of-concept coordination, negotiation, and contract execution. Sell to IT & Security Leaders: Engage IT Managers, Directors of Infrastructure, CISOs, and technical buying committees with credibility and consultative expertise. Build & Maintain Strong Pipeline Coverage: Generate pipeline through outbound prospecting, partner collaboration, and strategic account planning. Maintain disciplined forecasting and opportunity hygiene in Salesforce. Navigate Complex Buying Processes: Manage multi-threaded sales cycles, security reviews, procurement workflows, and competitive displacement strategies. Partner with Solutions Engineers: Collaborate closely with pre-sales/technical resources to ensure strong technical validation and alignment with customer requirements. Execute Account Expansion Strategy: Identify upsell and cross-sell opportunities within enterprise customers to drive expansion revenue and long-term retention. Stay Market-Aware: Maintain strong knowledge of cybersecurity trends, endpoint management landscape, and competitive positioning. Operate with Ownership: Work independently in a remote-first environment while collaborating cross-functionally with Marketing, Channel, Customer Success, and Product teams. Collaborate cross-functionally: Partner closely with marketing, product, and sales leadership to provide feedback from the field and refine messaging. Requirements 3–7+ years of quota-carrying B2B sales experience in SaaS, cybersecurity, or IT infrastructure solutions Proven success in consistently owning deals with a minimum average of $30k value Proven success selling into mid-market or enterprise organizations Experience engaging IT buyers (IT Directors, SysAdmins, Security Leaders, Infrastructure teams) Demonstrated ability to generate pipeline and close complex deals Strong forecasting discipline and Salesforce hygiene Experience navigating longer, multi-stakeholder enterprise sales cycles Excellent discovery and consultative selling skills Comfortable in a high-growth, fast-paced startup environment We are seeking candidates who can start as soon as possible due to business needs. Bonus: SLED experience Benefits A collaborative environment encouraging you to own your domain and implement best practices Stable income, benefits, flexible working hours, and opportunities for promotion. Friendly and professional peers, eager to help and help you grow. A multitude of interesting challenges and opportunities.

Location: Remote, AMER Workplace: Remote Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. We are seeking Support Engineers to provide world-class developer support for anyone experiencing issues or seeking guidance when using Supabase. The support team is globally distributed with a strong focus on minimizing time to fix, and works closely with the product engineering and growth teams. You will: - Provide initial and timely responses to all support cases for a variety of topics, from billing or pre-sales requests to optimization or implementation questions. - Triage support cases including directing users to previous answers, code examples, documentation, or escalating to specific technical or business team members. - Monitor multiple feedback channels, e.g. Github Issues & Discussions (check them here: https://github.com/supabase/supabase/issues). - Identify where internal tooling might be developed or obtained to improve support efficiency. - Reproduce issues, create test cases and improve test coverage, if you have experience with testing. You are: - Experienced in customer support, with 3+ years of experience providing developer support to technical customers. - Proficient in SQL (ideally PostgreSQL). You feel comfortable with complex SQL queries. If you have a database administration experience, it’s a plus. - Excellent communication skills and fluency in English. - Skilled in using Linux/Unix operating systems and the command line. - Experienced working with GitHub Issues and Discussions. - Bonus points if you're familiar with popular JavaScript frameworks like React, Vue, and Svelte and have some experience with Node.js. - Having a degree in Computer Science is a plus too. TIMEZONES & LOGISTICS - It’s a full-time position with 4 10-hour shifts, permanently covering weekends during NASA hours: 16:00-02:00 UTC - We are primarily looking for someone in North or South America timezones for this shift. - This position covers Friday → Monday based on the above UTC times, so this may vary slightly for your specific timezone. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: Remote Who we are Our mission is to bring clarity and control to the world's most complex codebases. AI is accelerating code creation, but the infrastructure to understand, oversee, and evolve that code hasn't kept pace. Sourcegraph gives engineering organizations full visibility across their systems, precise context for their agents, and the ability to execute coordinated code changes at scale. As agentic development becomes the dominant engineering paradigm, we provide the context layer teams need to take control of their codebase. With Code Search, Deep Search, MCP, and Agentic Batch Changes, we deliver on that mission today - giving engineering teams and their AI tools the cross-repo context to navigate massive codebases with confidence, and the ability to make changes across hundreds of repositories at once. Companies like Stripe, Reddit, and Leidos rely on Sourcegraph to ship faster and with higher quality. We're backed by a16z, Sequoia, and Redpoint, and proud to operate as a globally distributed team that values high agency, direct communication, and customer love. If you want to build the infrastructure that lets every engineering team - and every agent they deploy - operate on their codebase with confidence, join us. Hours & location 🌎 While we hire almost anywhere in the world, we have a preference for someone to reside in the following locations for this role. However, if you feel qualified, we welcome you to apply regardless of location. No matter what, working hours must overlap with Pacific Time for at least 25 hours/week. Preferred locations: USA - West Why this job is exciting We are hiring a Sr. Product Marketing Manager to help us tell the Sourcegraph story and scale the go-to-market for one of the most critical pieces of engineering infrastructure for the largest enterprises building the future. In this role, you will report to our Head of Marketing, and sit at the intersection of our go-to-market and technical teams to drive thought leadership, product leadership, and market leadership. Our customers are developers and engineering leaders at the largest and most successful companies in the world who rely on us to help them write better code, understand their codebases, secure their products, and adopt the newest and most impactful technology. You will translate deep technical capability into clear market narratives, turn product direction into launches that land, and ensure go-to-market is aligned, credible, and effective. Sourcegraph is a $50m ARR business and growing fast. We are doubling down on our core Search technology, including Deep Search, Code Search, Sourcegraph MCP and APIs for agents, and critical code migration and workflow engines, like Agentic Batch Changes for large-scale changes at scale. You will be responsible for the technical product marketing that will bring that story to life in the market, as well as ensuring alignment with and results from our Demand Gen and DevRel teams. We move fast and hold ourselves to an extremely high bar for product quality and Developer authenticity. If you’ve made a mark in product marketing for developers, talk to us. 📅 Within one month, you will… Ramp up quickly on the product, our audience, and the market landscape Build trust with the GTM and EPD teams Identify clear product marketing gaps and quick wins 📅 Within three months, you will… Establish clearly defined messaging frameworks Take the lead on product releases and launches Create and deliver sales enablement assets Establish strong operating rhythm with GTM and EPD teams 📅 Within six months, you will… Make product launches and releases repeatable and predictable Drive high-impact initiatives that directly influence pipe generation and deal velocity Partner closely with Demand Generation and DevRel on high-impact campaigns 📅 Within one year, you will… Clearly attribute activities to revenue impact Shape GTM strategy Raise the bar for PMM across the organization About you You have a track record of success in driving and owning product marketing initiatives end-to-end. You’re equally comfortable shaping narratives that connect with our technical enterprise audience, enabling sales, and shipping launches that move the business forward. You understand the software development lifecycle and are excited about how AI is reshaping developer tools and workflows. Must-haves: 5+ years of work experience in product marketing, developer marketing, product management, or related technical marketing roles in a B2B enterprise setting. Strong familiarity with developer tools and modern developer workflows, with a deep interest in AI-driven software development. Proven ownership of end-to-end technical product launches, spanning positioning, field enablement, and launch execution. Demonstrated ability to partner closely with technical teams to define what sets Sourcegraph apart and translate that differentiation into clear, credible, and memorable stories across channels. Experience supporting enterprise sales motions and navigating complex buying cycles. Strong sales enablement muscle, building and maintaining high-impact collateral and assets that scale and move enterprise deals forward. Experience delivering integrated campaigns in partnership with Demand Generation, Field Marketing, and DevRel across webinars, videos, web content, and events. Customer-first mindset, translating real customer feedback into messaging, positioning, and product direction. Strong technical aptitude, with a deep understanding of how modern software is built, shipped, and adopted. Bias toward action, moving quickly and putting bold ideas into motion. Excellent written, verbal, and presentation skills. Nice-to-haves: Background in software engineering or software development. Experience with account-based marketing (ABM) in enterprise or strategic account motions. Level 📊 This job is an IC4. You can read more about our job leveling philosophy in our Handbook. Compensation 💸 We pay you an above-average salary because we want to hire the best people who are fully focused on helping Sourcegraph succeed, not worried about paying bills. As an open and transparent company that values competitive compensation , our compensation ranges are visible to every single Sourcegraph teammate. Your salary is determined by your pay band for the IC4 job level. For determining pay bands, we use a number of market and data-driven salary sources, along with your location zone, and target the high-end of the range to ensure we’re always paying above market regardless of where you live in the world. Both U.S. and international locations are divided into one of four zones, determined by the cost of labor index for each area. The salary for a successful candidate will be based on level, job-related skills, experience, qualifications, and location zone. Please note that the salaries below may be adjusted in the future. 💰 The target compensation for this role is based on the IC4 pay band for your zone. The start of the IC4 pay band for each zone is listed below: Zone 1: $180,000 Zone 2: $144,000 📈 In addition to our cash compensation, we offer equity (because when we succeed as a company, we want you to succeed, too) and generous perks & benefits . Interview process Below is the interview process you can expect for this role (you can read more about the types of interviews in our Handbook). It may look like a lot of steps, but rest assured that we move quickly and the steps are designed to help you get the information needed to determine if we’re the right fit for you… Interviewing is a two-way street, after all! We expect the interview process to take 4.75 hours in total. 👋 Introduction Stage - we have initial conversations to get to know you better… [30m] Recruiter Screen [45m] Hiring Manager Screen 🧑‍💻 Team Interview Stage - we then delve into your experience in more depth and introduce you to members of the team, including cross-functional partners… [45m] Cross-functional Collaboration Interview [60m] Working Session [45m] Resume Deep Dive 🎉 Final Interview Stage - we move you to our final round, where you gain a better understanding of our business and values holistically… [30m] Values [15m] Leadership We check references and conduct your background check Please note - you are welcome to request additional conversations with anyone you would like to meet, but didn’t get to meet during the interview process. Learn more about us You can learn more about what it is like to work at Sourcegraph by reading our handbook . We are an ambitious team who are collectively working hard to build the most influential company in the world. You can read more about our culture , competitive compensation and benefits here. Sourcegraph is an equal opportunity workplace; we welcome people from all backgrounds. Sourcegraph participates in E-Verify for U.S. Employees.

Location: Remote, Global Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. We are seeking Support Engineers to provide world-class developer support for anyone experiencing issues or seeking guidance when using Supabase. The support team is globally distributed with a strong focus on minimizing time to fix, and works closely with the product engineering and growth teams. You will: - Provide initial and timely responses to all support cases for a variety of topics, from billing or pre-sales requests to optimization or implementation questions. - Triage support cases including directing users to previous answers, code examples, documentation, or escalating to specific technical or business team members. - Monitor multiple feedback channels, e.g. Github Issues & Discussions (check them here: https://github.com/supabase/supabase/issues). - Identify where internal tooling might be developed or obtained to improve support efficiency. - Reproduce issues, create test cases and improve test coverage, if you have experience with testing. You are: - Experienced in customer support, with 3+ years of experience providing developer support to technical customers. - Proficient in SQL (ideally PostgreSQL). You feel comfortable with complex SQL queries. If you have a database administration experience, it’s a plus. - Excellent communication skills and fluency in English. - Skilled in using Linux/Unix operating systems and the command line. - Experienced working with GitHub Issues and Discussions. - Bonus points if you're familiar with popular JavaScript frameworks like React, Vue, and Svelte and have some experience with Node.js. - Having a degree in Computer Science is a plus too. TIMEZONES & LOGISTICS - It’s a full-time position with 4 10-hour shifts, permanently covering weekends during EMEA Hours: 08:00-18:00 UTC - We are primarily looking for someone in Europe, Africa, or Middle Eastern timezones for this shift. - This position covers Friday → Monday based on the above UTC times, so this may vary slightly for your specific timezone. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

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

Location: Remote - United States What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023! If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases . Who We Are We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers. How We Work We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote Little more about the team: AI agents at Honeycomb investigate, reason, and act on real observability data. They live in Canvas: the agentic workspace where engineers go to understand their systems. The Agentic Intelligence team has shipped Canvas, the Honeycomb MCP server, and the Canvas Agent and Canvas Skills surfaces. What we're looking for today is someone who brings deep agent expertise and uses it to expand what the team can build: new agents, new surface area in Canvas, memory, spatial awareness, improved performance on our Bedrock loop. Honeycomb's data store is fast and accepts high cardinality data; that's what makes agents built on top of it different from anything built on a conventional observability backend. This role is about taking advantage of that building agents that can do things no other observability product can do because the underlying data makes it possible. Some of this work will start as a prototype. The expectation is that the code makes it through the full arc, from the rough first version through to something that holds up in production. What you'll do Design and deliver production-grade agents. Build agents that investigate, reason, and act on live observability data inside Canvas. These agents must be trustworthy to engineers in high pressure situations, including mid-incident. Take one from rough first version to something that holds up under production traffic. Own the agent work; support the whole product. Scope, build, ship, and maintain the agents including the evals that tell you whether they got better or are just different. This role is agent-focused and also includes some fullstack development. Build agents only Honeycomb can build. Use a data store that returns high-cardinality queries in seconds to reason over signal a conventional backend can't serve at this fidelity correlating across services, drilling into a single trace, comparing before and after a deploy. Extend the surface, and decide what's next. Ship new capability into Canvas, the MCP server, and Canvas Skills memory, spatial awareness, a faster Bedrock loop and make the case for what comes after with working code. Distinguish hype from signal in a field with plenty of both. Define what "good" means for agents here. Set the bar: measurable against real evals, maintainable, and honest about their limits. Example projects Multiple agents collaborating on one shared Canvas investigation each claiming a hypothesis, publishing findings, and narrowing the search space for the others so it resolves faster (blog). Auto-investigation the moment an SLO burn alert fires the agent forms hypotheses and prepares visualizations before a human looks, cutting mean-time-to-insight for on-call (o11ycon 2026). Skills that encode a team's domain expertise e.g. Kubernetes thresholds so agents and human colleagues can lean on them (o11ycon 2026). What you'll bring: AI and agent engineering experience. You've shipped LLM-based systems people relied on in production not demos, not fine-tuned models in a research context. You know where agent systems break and how to design around it. End-to-end ownership. On a small team there's no handoff queue. You can take something from rough prototype to production-grade without needing someone behind you to do the durable engineering. Current judgment, not just past experience. You have informed opinions about what's shifted in agent design in the last six to twelve months that would change how you'd build today. Agent architecture depth. You understand how a fast, high-cardinality data store changes what an agent can reason about, and how to design for that. Product judgment. You can look at what the agent layer does today and see what it should do next and make that case with a prototype, not a deck. Even better Observability or developer-tools background. Engineers are your users; you'll ramp faster with fluency in that world, and the work is better. Familiarity with eval frameworks, agent tooling, RAG, and prompt engineering. Base Salary based on level of experience $183,340 — $206,000 USD What you'll get when you join the Hive: A stake in our success - generous equity with employee-friendly stock program It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience Time to recharge with unlimited PTO A distributed-first mindset and culture (really!) Home office, co-working, and internet stipend Full benefits coverage for employees, with additional coverage available for dependents Up to 16 weeks of paid parental leave, regardless of path to parenthood Annual development allowance And much more... Please note we cannot currently sponsor or support visa transfers at this time. Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work. Phishing and Recruitment Scam Warning: We take your security seriously. 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