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Responsibilities: — Own reliability for applications and AI agents by setting up logs, metrics, traces, and actionable alerts. — Lead incident diagnosis and conduct post-mortems. — Maintain runbooks and ensure automated rollback procedures are tested. — Automate operational tasks and utilize AI for log analysis and root-cause investigation. — Define clear Service Level Objectives (SLOs). Conditions: — Remote work is allowed but only within Europe; candidates outside Europe are not eligible. The role requires working with Terraform, CI/CD pipelines, Python, and Go technologies.

Location: Remote, Global Workplace: Remote 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 Product Manager, Spark Projects to join our Product Team and lead a new Supabase project type built for how agents use infrastructure. Agents are creating an unprecedented amount of software, and every app, prototype, preview, and experiment needs a backend from the moment it’s created. Spark projects provision in a second, scale down when idle, and are cheap to enough to use liberally, guilt-free. while keeping the Supabase interface agents already know. Some of these projects will be small and short-lived while others will grow and graduate to larger instances on Supabase. This role owns establishing Spark as the default starting point for agent-built software and how projects grow from an early experiments into production workloads on Supabase. WHAT YOU’LL BE RESPONSIBLE FOR - Own the product strategy and roadmap for Spark projects, from early MVP through general availability. - Make Spark effortless for agents and the platforms they run on, so a backend exists the moment an idea does. - Define the path from experiment to production, including how projects get claimed, upgraded, and grown into the full Supabase platform. - Shape packaging and pricing with Engineering, Growth, and Finance so Spark is economical at very large scale. - Partner closely with Supabase for Platforms customers to understand their needs and bring Spark to them first. - Define what success looks like, instrument it end to end, and let the data guide what gets built next. YOU MIGHT BE A GOOD FIT IF YOU - Have 5+ years of product management on developer tools or infrastructure, or are an ex-founder with strong product instincts. - Have a strong point of view on agent-driven development and how it changes what developers and platforms need from a backend. - Know your way around AI Evals, controlled experimentation, and data analysis. - Are biased toward speed and would rather ship, learn, and iterate than perfect a spec. - Build with what you own and form opinions through first-hand use. - Use AI tools to compress research, drafting, and feedback synthesis so you can focus on judgment calls. - Work async by default, making decisions in writing in a fully remote team. 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 Workplace: Remote 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 Product Manager, Administration & Governance to join our Product Team and make Supabase the default starting point for software built inside a company. Supabase already spreads from the bottom up: someone has an idea, creates a project, and builds something useful. Inside most companies, Supabase starts the same way: someone has an idea, creates a project, and builds something useful. The next step is making that momentum company-wide: one platform where anyone can start building, and where IT can see what’s running, who owns it, and what it costs. You’ll own how companies run Supabase as their internal development platform: approved by IT and easy for anyone in the company to use. You’ll make it possible for people and the agents they work with to start building without waiting on infrastructure, while giving platform, IT, and security teams the controls they need to say yes. The goal is to make the approved path the easiest path, from an early experiment to a production application, with the controls companies need built in. WHAT YOU’LL BE RESPONSIBLE FOR - Own the product strategy and roadmap for internal innovation, from a company’s first IT-approved rollout to adoption across teams and business units. - Make getting started self-service, whether someone creates a project in Supabase, through an internal developer portal, or with an agent. Give builders the access and infrastructure they need without a ticket for every project. - Steer scattered usage into a manageable company-wide platform. Give companies one view of everything they run on Supabase. Shape how ownership, delegated access, and boundaries work so teams can move independently as usage grows. - Partner closely with platform, IT, security, and finance teams to understand what it takes to approve Supabase and keep it approved. Translate their needs into practical identity, policy, audit, and spend controls that don’t slow builders down. - Define the path from experiment to production, including project ownership, access, and the guardrails that change as an application becomes important to the business. - Work with Engineering, Design, Sales, and Customer Success to turn early customer rollouts into a repeatable experience, rather than a new custom integration for every company. - Define what success looks like, instrument it end to end, and let the data guide what gets built next—from time to first project and self-service adoption to production usage and expansion across the company. YOU MIGHT BE A GOOD FIT IF YOU - Have 7+ years of product management on developer tools, infrastructure, or internal developer platforms. - Have built self-service products that developers love and platform or IT teams trust. You understand both the person trying to ship an app and the team responsible for how it runs. - Can reason about identity, permissions, organization boundaries, and usage attribution, and turn those systems into workflows people can actually understand. - Have a strong point of view on how agents change who can build software inside a company and what an internal development platform needs to make that possible. - Know your way around controlled experimentation and data analysis, and can connect easier adoption to sustained product use. - Are biased toward speed and would rather ship, learn, and iterate than perfect a spec. - Build with what you own and form opinions through first-hand use, from creating a project to configuring the policies around it. - Use AI tools to compress research, drafting, and feedback synthesis so you can focus on judgment calls. - Work async by default, making decisions in writing in a fully remote team. 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 Workplace: Remote 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 Software Engineer, AI Tooling Infrastructure to join our AI Tooling team and help build and run the backend services behind Supabase’s AI products. The Supabase MCP server is one example of what the team runs in production, alongside the services that support agent skills and the dashboard assistant. You’ll work closely with the Platform, SRE, Auth, Billing and Edge Functions teams, and with the engineers on the AI Tooling team who build the product surfaces. The AI Tooling team runs its own services in production and carries its own on-call. Traffic from AI clients and agents behaves differently from traffic from people: hundreds of calls a minute, retry loops, and no reading of deprecation warnings. This role makes sure the services they use are reliable, correctly authorized and observable. It is a systems and infrastructure role rather than a product AI role, and it is not an SRE role. You will build and operate these systems, not only advise on them. This role is ideal for someone who thrives in async, fast-paced environments, owns what they ship in production, and is excited about building developer tools that scale to millions. WHAT YOU’LL BE RESPONSIBLE FOR In this role, you’ll: - Build and operate the production backend services behind Supabase’s AI products, including the MCP server: deployment, scaling, configuration and release. - Take ownership of how those services are structured, including splitting or reshaping a service when that makes it safer to run and easier to change. - Define, measure and meet reliability targets for the services the team runs. Set SLOs with the SRE team, track error budgets, and use them to decide what to fix first. - Participate in the AI Tooling team on-call rotation, and be a first responder for incidents in those services. Investigate, fix, coordinate with other teams during incidents, and write the follow-ups and runbooks. - Work the AI Tooling team support queue alongside on-call, and turn recurring issues into fixes rather than repeated manual answers. - Own authentication and authorization for AI and agent clients: OAuth apps, scoped tokens, and permissions that make sense for agents as well as humans, including how we change or deprecate a permission without breaking existing integrations. - Own observability for the services the team runs: metrics, traces, logs, dashboards and alerts, so we find problems before customers do. - Handle capacity and abuse for agent traffic: rate limits, cost and safety controls, and behavior under load or when a dependency degrades. - Improve the architecture of the services the team owns as they grow, including splitting or reshaping a service when that makes it safer to run and easier to change. - Work with the Platform team on shared code, review ownership and release process, and with the SRE team on infrastructure, alerting and incident practice. - Contribute to the code of the AI Tooling team’s tools, such as the MCP server, where it affects reliability and security, in partnership with the engineers who own the product surface. YOU MIGHT BE A GOOD FIT IF YOU Must have: - Have 5+ years of experience building and running backend services in production, and have carried on-call for them. - Write strong TypeScript or Go, and are comfortable working in the other. - Have designed and operated APIs with real consumers: versioning, error handling, rate limiting, and backwards-compatible change. - Know OAuth, OIDC, JWT and API authorization well enough to debug them in production and to explain where implementations commonly deviate from the spec. - Have a good understanding of PostgreSQL and relational databases. - Are comfortable with CI/CD, Docker and containerized deployments, and with infrastructure as code. Any tool is fine. - Can debug across services: follow a slow or failing request through several systems using metrics, traces and logs. - Communicate clearly in writing, work with a wide range of stakeholders, and thrive in async, globally distributed teams. - Are comfortable navigating ambiguity and moving quickly. Pick your centre of gravity. We expect you to be deep in at least one of these, and to tell us which: - APIs and auth: You have designed permission models, token scopes or OAuth flows for third-party or machine clients, and you have migrated them without breaking users. - Operations: You have run production services yourself: carried the pager, written alerts and runbooks, used SLOs or similar to decide what to fix, and made shared systems less risky over time. - Gateways and distributed systems: You have built or run proxies or gateways, or debugged hard failures across services (retries, partial failures, upstream outages, fail-open vs fail-closed decisions), and you can reason about load and degradation. Nice to have: - Experience with agent tooling (MCP or similar), or serving traffic from AI agents and LLM clients. - Experience moving a service out of a larger codebase while keeping existing clients working. - Experience with Grafana, OpenTelemetry, Logflare or a similar observability stack, and real SLO work. - Open-source contributions, especially to Node.js, Go, TypeScript or API tooling. 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.

The Role We're looking for a Product Manager to own core parts of the Duvo platform – the durable, repeatable primitives that let AI agents execute end-to-end work for enterprises.

The AI Security Sales Executive is a quota-carrying sales role dedicated to Abnormal's AI Security suite: five products built to help customers govern AI, secure AI, and defend against rogue AI. Own AI Security in your region.

We are seeking an L4 Capacity Planning Lead to join Coinbase's Compliance Workforce Management team. This role is central to translating volume trends, staffing assumptions, and business inputs into actionable short- and medium-range capacity plans that help our compliance operation meet regulatory demand efficiently and cost-effectively.

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. As an Intermediate Backend Engineer on the GitLab Orbit team, you'll help build and operate a graph data service that supports GitLab Duo agents, analytics, and architecture-level features across GitLab.com, Dedicated, and Self-Managed deployments. You'll join a Rust-first team that values clear ownership, thoughtful system design, and rigorous thinking about data and reliability. The Knowledge Graph service is a Rust backend that builds a property graph from GitLab’s software development lifecycle (SDLC) and code data. It uses ClickHouse, NATS JetStream, and the Data Insights Platform. It exposes secure graph queries and MCP tools used by AI agents and product features. In this role, you’ll deliver features and improvements in well-scoped areas, learn the broader architecture, and contribute to reliability, observability, and operational readiness. In your first year, you’ll take clear ownership of specific components or features (for example, parts of the SDLC indexing pipeline or query paths). You’ll help reduce single points of failure with better tests and runbooks, and you’ll help the team ship analytical services that are easier to maintain and evolve over time. What you’ll do Implement and iterate on backend features in the Rust-based Knowledge Graph service, including changes to the query engine, SDLC and code indexing flows, and API endpoints (including MCP endpoints) under guidance from senior and staff engineers. Maintain integrations between Knowledge Graph and the rest of the GitLab platform, working in areas that touch GitLab Rails, the Data Insights Platform (Siphon, NATS, ClickHouse), and GitLab Duo Agent Platform. Contribute to system design discussions by proposing options, raising questions, and documenting decisions, with a focus on reliability, scalability, and maintainability for analytical graph workloads. Improve the operational maturity of the service by adding or enhancing metrics, logging, runbooks, alerts, and small readiness tasks, and by participating in on-call rotation as appropriate for your level and experience. Collaborate asynchronously with product, data, infrastructure, security, and AI counterparts to clarify requirements, align on scope, and ship features safely for customers and sustainably for the team. Use AI-assisted development workflows responsibly (for example, using Knowledge Graph-backed agents and internal Duo tooling), and share what works with the team while keeping a strong focus on code quality and correctness. Participate in code reviews, knowledge-sharing sessions, and pairing to both learn from others and help maintain consistent standards across the codebase. Contribute across the stack when needed, including occasional Ruby work for Rails integration and authorization paths, or small frontend changes related to Knowledge Graph features (for example, Software Architecture Map UI plumbing). Take part in on-call or operational support where your team’s ownership model requires it. What you’ll bring Professional experience building and maintaining backend systems in production, with an understanding of reliability, maintainability, and how to support services over time (for example, incident response and follow-ups). Proficiency in at least one modern backend language and strong interest in Rust, with either prior Rust experience or clear evidence you can ramp quickly and deliver in a Rust-first, performance-sensitive codebase. Some exposure to distributed data or analytics systems (for example, OLAP databases, Kafka- or NATS-style messaging, or change data capture (CDC) pipelines), or strong motivation to develop those skills in this role. Interest in graph data modeling and query patterns (property graphs, multi-step (n-hop) traversals, aggregations), and willingness to learn the tools and concepts used in Knowledge Graph over time. Practical experience (or strong interest) using AI tools in day-to-day development, along with a thoughtful approach to validating outputs and integrating AI into your workflow. A language-agnostic mindset and evidence that you can pick up new languages and frameworks as needed (for example, Ruby, Go, or TypeScript/Vue where the work touches adjacent systems). Solid fundamentals in system design for your level, including the ability to reason about trade-offs, ask good questions, and align your implementation work with documented architectural decisions. Comfort working in a low-process, high-ownership environment where you take responsibility for your work, refine problem statements with teammates, and communicate progress clearly in writing across time zones in an all-remote team. About the team GitLab Orbit sits within the Data Engineering organization. We work closely with partners across AI (Duo Agent Platform), analytics, infrastructure and delivery, and security because our work spans many parts of the platform. We collaborate asynchronously rather than following a feature factory model. A key challenge for us right now is scaling sustainably as usage grows and team members take time off. That includes hardening multi-tenant behavior. At the same time, we're bringing Knowledge Graph to The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $115,200 — $162,000 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. Sierra’s Applied Research team works to make the models behind our agents better, faster, and cheaper across many kinds of tasks. Our work covers post-training open-weight models for specialized capabilities, new approaches to voice AI, and the benchmarks the field uses to measure agents, including τ-bench. As an Applied Research Intern, you’ll join the team for a research project, working with a mentor, you’ll pick a problem that matters to how AI agents perform in the real world, run rigorous experiments, and potentially write up what you find for a top venue. If you want your research to reach both the research community and production agents used by millions of people, come do it at Sierra. WHAT YOU’LL DO - Own a research project from start to finish, from framing the question and running experiments to writing and submitting a paper. - Push agent evaluation forward, for example by extending τ-bench to new domains, modalities, or long-horizon tasks, or by building new ways to measure reliability and consistency. - Study how agents reason, use tools, and follow policies over multi-turn conversations, and find out where and why they fail. - Explore post-training methods such as supervised fine-tuning and reinforcement learning to improve agent behavior, and measure the gains rigorously. - Work with large-scale, proprietary datasets of text and audio interactions to find research questions grounded in real customer problems. - Work with researchers and engineers across Sierra, and where it makes sense, turn your findings into improvements in production. WHAT YOU’LL BRING - Currently pursuing a PhD in computer science, machine learning, or a related field. - A research track record, such as first-author publications or submissions at venues like NeurIPS, ICML, ICLR, ACL, EMNLP, Interspeech or ICASSP. - Strong experimental skills: you design clean experiments, build careful baselines, and are honest about what the results do and do not show. - Fluency in Python and modern ML tooling (for example, PyTorch, and LLM inference and training stacks). - High agency and a builder’s mindset. You’ll work across the stack to get an experiment running. - Clear, direct communication, both in writing and when presenting research. EVEN BETTER - Research experience with LLM agents, tool use, or multi-turn dialogue. - Experience designing benchmarks or evaluations, especially ones tied to real-world outcomes. - Experience with supervised fine-tuning, reinforcement learning, or long-horizon optimization. - Experience with speech, voice, or multimodal models. - Open-source contributions to ML research code or benchmarks. INTERN QUALIFICATIONS - The internship is open to students currently enrolled in a PhD program. - Duration and start dates are flexible. Interns are embedded with the Applied Research team and work under the guidance of a mentor. - The internship is based in our San Francisco office. We are in person Monday through Thursday. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: Seoul Workplace: Remote WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey’s Legal Engineers are former practising lawyers who bridge customers, sales, and product to support all aspects of our sales strategy and product development. As trusted advisors to the lawyers they work with, they lead sharp discovery and tailored product demonstrations, translating real legal work into Harvey solutions that provide clear value for lawyers. In Korea, this role is a rare chance to pioneer Harvey’s presence in one of Asia’s most sophisticated legal markets. As a strategic partner to Korean law firms and in-house teams, you will help lawyers do higher-quality work faster and with more confidence using Harvey, and you will thrive in ambiguity while doing it. What You’ll Do - Work directly with lawyers at current and prospective customers in Korea to uncover workflow pain points, recommend solutions, and show how Harvey fits into real legal work. - Serve as the voice of the customer, translating feedback and legal workflow insights, including those specific to Korean legal practice and Korean-language needs, into concrete, lawyer-ready product direction. - Partner closely with product, engineering, sales, and marketing to shape Harvey’s roadmap and ensure the product evolves in ways lawyers trust and adopt. - Build and refine product demonstrations, workflows, and use cases in Korean and English that reflect how Korean legal teams actually work, including how AI is changing that work. - Introduce new capabilities in a way that’s tailored, credible, and compelling for each customer, continuously raising the bar for how Harvey is deployed. - Provide competitive and market intelligence on the Korean and wider APAC legal tech landscape. - Strengthen Harvey’s reputation in Korea and across APAC as a credible, substantive, and forward-looking AI partner to the legal industry. What You Have You move confidently through uncertainty, operate at speed, and ship solutions that work, iterating quickly with lawyers, sales teams, and product partners to help Harvey and its customers win. You bring deep curiosity about AI’s potential to transform legal work, a bias towards action, and the creativity to solve problems nobody has cracked yet. - Based in Seoul and eligible to work in South Korea. - Korean legal qualification (변호사 자격) or equivalent. - At least 3 years of experience as a qualified lawyer at a top-tier Korean or international law firm and/or in-house, with strong exposure to complex legal workflows and client expectations. - Fluency in Korean and English, with the ability to operate seamlessly across both in professional settings. - Demonstrated ability to exercise sound judgment and make confident, well-reasoned recommendations. - Ability to operate across legal, product, and sales contexts, translating between stakeholders with clarity and precision. - Executive presence and relationship-building skills, with comfort engaging partners, senior associates, in-house counsel, and legal leadership. - Sales, customer-facing, or law firm business development experience is a plus, particularly where you’ve helped shape solutions rather than just present them. DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-EL1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: San Francisco Perplexity is seeking energetic researchers and engineers to join our Secure Intelligence Institute (SII), Perplexity's flagship research center for advancing security, privacy, and trust in frontier intelligence. SII’s goals are to advance frontier AI security research, translate those advances into concrete improvements in Perplexity's systems, and share knowledge and resources that strengthen the broader AI ecosystem. As a member of SII, you'll conduct original and impactful research on improving the security and privacy of frontier intelligence systems. Your goal will be to conduct research that is not only rigorous in theory, but practical enough to improve the systems people rely on every day. This work will be informed by the realities of operating general-purpose AI systems used by millions of people and thousands of enterprises, and you'll be expected to translate both your own research and advances from the broader community to practical improvements that protect and defend Perplexity's users. RESPONSIBILITIES - Develop threat models for emerging attack surfaces in AI-native products, including browser, search, and autonomous agents. - Identify and analyze security and privacy threats across AI systems, infrastructure, and user-facing products. - Develop novel defenses, mitigations, and detection mechanisms for security and privacy in AI-native products. - Build security evaluation frameworks, benchmarks, and datasets to measure the effectiveness of different defense mechanisms. - Partner with Perplexity’s Security Engineering team to translate state of the art research into shipped security features and hardened system architectures. - Collaborate with top-tier academic and industry researchers in SII's external research network. - Publish findings at premier venues and contribute to the broader security research community. QUALIFICATIONS - Hold a PhD (or equivalent research experience) in Computer Science, Computer Engineering, or a related field, with a primary focus on security and/or privacy. - Experience publishing at top security conferences (IEEE S&P, USENIX Security, ACM CCS, NDSS) demonstrating original, impactful research contributions. - Deep expertise in one or more of: security of agentic systems, systems security, web and applications security, program analysis, and software security. - Proficiency in Python (bonus points for TypeScript, Go, and/or Rust). - Ability to operate with high independence, willing to dive in and take ownership, and comfortable in a fast-paced environment where research directly informs product. - Clear and concise communcation, translating complex attack narratives into actionable insights for engineering and leadership.

Location: San Francisco Perplexity is seeking software engineers to join our Training Infrastructure team. We’re responsible for the large-scale RL and agent evaluation platforms that enable Perplexity to train state-of-the-art models and optimize agent harnesses. We are full-stack engineers with a broad remit. If you join us, you’ll build the distributed systems that orchestrate AI workloads across global-scale compute infrastructure. You’ll also define novel user and agent interfaces for designing, managing, and launching experiments. You’ll create tools that make experiment results legible to humans and agents alike, enabling everything from ad-hoc experiment retrospectives to closed-loop autoresearch. And much more! A strong candidate will possess both experience and passion for solving difficult problems at the intersection of AI, distributed systems, and research acceleration. QUALIFICATIONS - 2+ years of experience developing and shipping distributed systems for compute-intensive workloads, with a focus on reliability, scalability, and performance. - Proficiency in a general-purpose backend language such as Python, Rust, C++, or Go, and experience with cloud infrastructure and container orchestration, such as AWS and Kubernetes. - Familiarity with reinforcement learning (RL), agent evaluation, or ML infrastructure, and an interest in building systems that accelerate experimentation and model development. - BS, MS, or PhD in Computer Science, Engineering, or a related field, or equivalent practical experience. WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence.

Location: San Francisco; Seattle; New York City; Toronto PERPLEXITY API PLATFORM Perplexity innovates at the frontier of AI infrastructure, search, and orchestration to serve the world's most discerning users. The Perplexity API Platform brings our technology to the world's most discerning developers. From exabyte-scale knowledge indexes to codegen-first agent runtimes, the building blocks behind Perplexity's applications are some of the most battle-tested AI systems in the industry. We believe these same building blocks can and should power the aspirations of builders everywhere. It's one thing to solve planet-scale retrieval, long-horizon orchestration, and other foundational AI challenges within a single product ecosystem. The true measure of success is to turn those solutions into elegant APIs that delight developers and agents alike. Our API Platform delivers frontier intelligence to thousands of customers: startups, trillion-dollar enterprises, U.S. and allied governments, and everyone in between. We've achieved incredible scale, yet we're just getting started. Join us to build tools for curious minds. ABOUT THIS ROLE Perplexity is seeking strong engineers with a passion for delivering frontier intelligence and infrastructure to developers. Our company builds technology that reshapes how people search, reason, and interact with the world around them. Week after week, we observe increasing demand for programmatic interfaces to that technology. The API Platform engineering team is charged with designing, implementing, and scaling these interfaces. As a member of our team, you'll work on an eclectic portfolio spanning distributed systems, performance optimization, agent orchestration, and frontier topics that often change with each passing month. Throughout this work, you'll prioritize great developer and agent experience alike. You'll also define technical strategy for how we scale to meet compounding growth exponentials (number of customers, agents per customer, compute/retrieval per agent, etc.). KEY RESPONSIBILITIES - Design, build, and operate mission-critical APIs that provide our customers the building blocks for frontier intelligence. - Own and evolve the API gateway and routing layer: authentication, authorization, rate limiting and quotas, usage metering, and request routing across heterogeneous upstream services. - Build the paved road for API services: standardized service scaffolding, container builds, CI/CD, Kubernetes and Helm deployment, and progressive rollouts with fast rollback, so a new API product goes from idea to production in days, not weeks. - Build API governance into the platform: contract-first schemas, breaking-change detection in CI, versioning and deprecation workflows, and SDKs and documentation generated from a single source of truth. - Unify cross-cutting capabilities (billing and usage, rate limiting, organization and identity settings, analytics and observability) so every API product gets them by default instead of rebuilding them. - Ensure low latency and high throughput through aggressive performance optimization (including on upstream systems). - Harden system security and reliability across heterogeneous compute environments, and operate what you build: SLOs, on-call, and incident response. - Collaborate across teams to bring novel frontier capabilities into the API Platform, and partner with infrastructure teams on compute, networking, secrets, and security. - Continually reimagine the customer needs of tomorrow (and the architectures to serve those needs), while faithfully serving the customer workloads of today. - Uphold engineering excellence through design reviews, code quality, and internal documentation. QUALIFICATIONS - 5+ years of backend engineering experience with Python, Go, or Rust, including significant time building platforms or infrastructure used by other engineering teams. - Strong understanding of high-traffic API design: schema evolution & versioning, idempotency, authentication patterns, rate limiting, and performance tuning. - Hands-on experience building and operating API gateways, reverse proxies, or routing layers: authentication and authorization, rate limiting and quotas, request routing, traffic shaping, and per-request observability. - Experience building API governance tooling: contract-first API design, breaking-change detection and API linting in CI, versioning and deprecation workflows, and SDKs and documentation generated from the contract. - Platform depth across the build and deploy path: you have owned CI/CD pipelines, container builds and base images, infrastructure as code, and progressive delivery (canary or blue-green) on a major cloud. - A track record of owning a platform end to end: identifying the need, designing it, aligning the teams that depend on it, shipping it, and operating it, while raising the engineering bar for the teams building on it. - Strong customer empathy and product sense, ensuring the APIs you build are ergonomic, well-documented, and easy to adopt for developers and agents alike. Strong plus: - Experience with modern AI APIs (including latency tuning, streaming, model orchestration, emerging technical standards). - Usage-based billing and metering systems, multi-tenant organization and identity models, and usage analytics pipelines. - Observability for API platforms: structured logging pipelines, metrics, tracing, and SLO tooling.

Location: San Francisco; New York City ABOUT THE ROLE The AI Acceleration team’s mission is to make Perplexity the best place to build and ship software with AI agents. We build the infrastructure that engineers and agents rely on, and develop new ways for agents to write, test, review, and ship code. Our work helps teams move from an idea to production faster, without compromising quality or reliability. We own the end-to-end development experience at Perplexity, from the environment where code is written to the systems that ship it to production. That includes local and cloud coding environments, build and test infrastructure, code review, and release management. We’re also building autonomous software development systems, where agents take on increasingly complex engineering work with explicit evaluation, verification, and safety controls. We own both the infrastructure these systems depend on and the workflows that make them useful. As an AI Acceleration Engineer, you’ll turn emerging agent capabilities into dependable systems used across Perplexity. You’ll work directly with engineers to understand where development slows down, experiment with new approaches, and take promising ideas through to production. This role combines systems engineering, developer experience, and hands-on agent development, with a direct measure of success: helping teams spend less time on delivery overhead and more time building products. RESPONSIBILITIES - Identify, prioritize, and deliver the highest-impact opportunities to accelerate how Perplexity builds and ships software with AI. - Work directly with engineering and business teams to understand their workflows, constraints, and bottlenecks, and build solutions that address how they actually work. - Build and operate the infrastructure that engineers and agents depend on, including development environments, build and test systems, code review, and release tooling. - Make our codebases, systems, and internal knowledge easier for agents to navigate, understand, and use through better tooling, interfaces, documentation, and context. - Take agent-driven workflows from prototype to production, building the evaluations, verification, and controls needed to delegate increasingly complex engineering work safely. - Improve delivery speed and software quality together. Measure the impact of your work on development time, review effort, and production reliability, and use those results to guide what comes next. - Evaluate emerging models, tools, and approaches through hands-on experimentation. Turn the evidence into clear technical decisions, and drive adoption of the technologies that prove useful. - Use AI extensively in your own engineering work, share what works, and help colleagues adopt effective practices. Partner with engineering leadership and recruiting to strengthen how we hire and develop engineers who work effectively with AI. QUALIFICATIONS - 5+ years of software engineering experience, ideally with substantial work in infrastructure, platform engineering, or developer productivity in technically complex environments. - Daily, hands-on use of AI models and coding tools, with practical judgment about where they perform well, where they fail, and how to verify their output. - Strong proficiency in one of the languages – Python, Go or Rust, along with the willingness to learn other languages as the work requires. - Broad familiarity with the systems used by AI product and applied research teams, including cloud infrastructure, distributed systems, data pipelines, and ML tooling. You don’t need deep expertise in every layer, but you should understand how they fit together. - An ability to understand how engineers and researchers across disciplines work, paired with curiosity about the needs of business and operations teams. You build tools around users’ actual workflows and constraints. - A drive to make codebases, systems, and processes easier to understand, operate, and change. You look for ways to replace brittle workflows and implicit knowledge with clear interfaces and reliable automation. - Sound technical judgment about when to experiment, when to commit, and when to ship a pragmatic solution. You can balance immediate delivery with investments that make future work faster and more reliable.

Location: San Francisco Workplace: Hybrid We're hiring a Procurement Lead to build Perplexity's procurement function. You'll design how Perplexity buys, from the workflow and policies teams follow to the agreements we sign and the vendor relationships we manage after signature. You'll be a key partner to teams across the company, helping them choose the right vendors and structure strong agreements without becoming a bottleneck, and making sure every dollar we commit to third parties earns its keep. This is a high-impact, hands-on role for someone who thrives in fast-paced environments and wants to build the function, not inherit one, with room for your scope to grow as the company does. We value someone who can set direction, dig into the details, and follow through. This position is based in San Francisco and requires in-person attendance 2-3 days per week. KEY RESPONSIBILITIES - Lead our highest-impact vendor deals across software, cloud services, data, and professional services, from competitive alternatives through pricing, terms, and signature - Structure committed-spend, usage-based, and multi-year agreements that scale with our usage and preserve our flexibility - Own relationships with our most important vendors, including performance tracking, business reviews, and renewal negotiations - Design an efficient procurement workflow, policies, and approval thresholds, and implement the tools and AI automation to run them - Use AI workflows and agents to automate procurement, from intake and contract review to spend analysis and reporting - Build visibility into vendor spend and contracts, and drive savings through consolidation, right-sizing, and renegotiation - Partner with Legal, Security, and Accounting on contract terms, vendor risk reviews, and audit-ready controls WHAT YOU'LL BRING - 5-7+ years of experience in procurement or strategic sourcing at a high-growth technology company, including building or scaling the function. - A track record of personally negotiating multi-million dollar software, cloud, or data agreements, managing those vendors and renegotiating at renewal, and delivering measurable savings - Experience building procurement processes, policies, and systems from scratch - Ability to run multiple deals at once with incomplete information, and sound judgment about when to move fast and when to escalate - Comfort using AI tools to accelerate your work and improve workflows - A low-ego, roll-up-your-sleeves approach to projects large and small and to working across the organization - Strong communication skills, the ability to influence senior leaders, and a reputation for being commercially tough and fair

Location: San Francisco Workplace: Hybrid We're hiring a Procurement Lead to build Perplexity's procurement function. You'll design how Perplexity buys, from the workflow and policies teams follow to the agreements we sign and the vendor relationships we manage after signature. You'll be a key partner to teams across the company, helping them choose the right vendors and structure strong agreements without becoming a bottleneck, and making sure every dollar we commit to third parties earns its keep. This is a high-impact, hands-on role for someone who thrives in fast-paced environments and wants to build the function, not inherit one, with room for your scope to grow as the company does. We value someone who can set direction, dig into the details, and follow through. This position is based in San Francisco and requires in-person attendance 2-3 days per week. KEY RESPONSIBILITIES - Lead our highest-impact vendor deals across software, cloud services, data, and professional services, from competitive alternatives through pricing, terms, and signature - Structure committed-spend, usage-based, and multi-year agreements that scale with our usage and preserve our flexibility - Own relationships with our most important vendors, including performance tracking, business reviews, and renewal negotiations - Design an efficient procurement workflow, policies, and approval thresholds, and implement the tools and AI automation to run them - Use AI workflows and agents to automate procurement, from intake and contract review to spend analysis and reporting - Build visibility into vendor spend and contracts, and drive savings through consolidation, right-sizing, and renegotiation - Partner with Legal, Security, and Accounting on contract terms, vendor risk reviews, and audit-ready controls WHAT YOU'LL BRING - 5-7+ years of experience in procurement or strategic sourcing at a high-growth technology company, including building or scaling the function. - A track record of personally negotiating multi-million dollar software, cloud, or data agreements, managing those vendors and renegotiating at renewal, and delivering measurable savings - Experience building procurement processes, policies, and systems from scratch - Ability to run multiple deals at once with incomplete information, and sound judgment about when to move fast and when to escalate - Comfort using AI tools to accelerate your work and improve workflows - A low-ego, roll-up-your-sleeves approach to projects large and small and to working across the organization - Strong communication skills, the ability to influence senior leaders, and a reputation for being commercially tough and fair

Location: Croatia; Georgia; Poland; Romania; Turkey; Czechia Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. Role Overview We are looking for an experienced Forward Deployed AI Engineer to design and deliver production-grade AI applications directly with enterprise product and engineering teams. This is a highly hands-on, client-facing role focused on turning complex business requirements into scalable solutions using Python, Large Language Models, RAG, agentic workflows, LangChain / LangGraph, and modern web technologies . You will own the full delivery lifecycle, from discovery and rapid prototyping through production deployment, adoption, and continuous optimization. CONTRACT: Contractor, long-term engagement COMMITMENT: Full-time LOCATIONS: Remote — Turkey, Croatia, Czech Republic, Estonia, Georgia, Poland, or Romania START: ASAP DURATION: 6+ months, with possible extension based on performance NOTES: Fluent English and strong stakeholder communication skills are required. Key Responsibilities Work directly with business, product, and engineering stakeholders to understand complex requirements and translate them into production-ready AI solutions . Design and build applications using LLMs, RAG, AI agents, tool/function calling, and structured outputs . Develop agentic workflows using frameworks such as LangChain, LangGraph, LlamaIndex, or similar technologies . Design retrieval architectures using vector search, embeddings, document pipelines, and contextual retrieval techniques. Build robust backend services and application logic in Python . Develop user-facing AI applications using React, Next.js, or similar frontend technologies . Integrate AI applications with enterprise APIs, internal platforms, data systems, and authentication / IAM environments. Deploy applications using cloud platforms, Docker, and CI/CD pipelines . Monitor and improve AI application quality, reliability, latency, security, and business performance. Contribute reusable engineering patterns, components, and implementation best practices across projects. Requirements 6+ years of professional software engineering experience , with strong production-level Python expertise. Hands-on experience building LLM-powered applications in production. Strong experience with LangChain, LangGraph, LlamaIndex, or comparable AI orchestration frameworks . Strong understanding of Retrieval-Augmented Generation (RAG), vector retrieval, embeddings, and LLM integration patterns . Experience designing AI agents, agentic workflows, tool/function calling, structured outputs, and automation systems . Experience with React, Next.js, or similar modern web technologies . Experience deploying production applications using cloud platforms, Docker, and CI/CD . Strong understanding of enterprise integrations, secure API design, IAM, and AI / LLM-specific security considerations. Strong ability to translate business needs into technical architecture and communicate effectively with both technical and non-technical stakeholders.

Location: Remote: United States Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE Render is looking for a Staff Developer Relations Engineer to grow usage and word of mouth for Render among developers building full-stack and AI applications. You'll be Render's technical face on stage, in workshops, at meetups, and in the developer and AI ecosystems where our users build. DX at Render has two halves. DX Engineering builds and maintains Render's tutorials, sample apps, templates, and video library. DevRel takes Render to developers in person and through the communities and partners they trust, then brings what it hears back into the product. You'll set the technical bar and direction for DevRel, and you'll be the person developers and partners go to for a deep, candid answer about running AI workloads on Render. You'll build the demos and workshop material behind your own talks. When something you build deserves a long life, DX Engineering turns it into a maintained example or template. This is a remote role within the US, with the option to work out of our headquarters in San Francisco. Expect regular travel for conferences and events. WHAT YOU'LL DO - Represent Render at conferences, meetups, hackathons, podcasts, and livestreams, with talks and live demos on building and running AI agents and full-stack apps. - Design and run hands-on workshops and hackathons, from the curriculum to the technical setup behind them. - Set DevRel's technical direction: pick the communities, ecosystems, and events worth investing in, and define what good looks like for talks, workshops, and demos. - Be the technical counterpart for ecosystem partners such as AI frameworks, agent tooling, and open source projects: joint workshops, co-hosted events, and the integrations worth building together. - Go deep in technical communities on GitHub, X, Discord, Reddit, and Hacker News. Answer hard questions, debug real deployments, and show up where Render has a credible voice. - Run the developer feedback loop. Turn what you hear in the field into clear, prioritized input for Product and Engineering, and follow it through until it ships. - Help Render's highest-potential developers and startups go further on the platform through technical deep dives and architecture reviews, and turn them into champions who talk about Render in their own communities. - Raise the bar for the DevRel team through talk reviews, demo reviews, and your own work. - Track impact through activation from events and workshops, community engagement, partner-driven adoption, and the product changes you drove. WHAT WE'RE LOOKING FOR - 8+ years in developer relations, solutions engineering, or software engineering, including at least 3 years in a developer-facing role at a developer tools, cloud, or infrastructure company. - A track record on stage: talks at recognized developer conferences, and workshops you designed and ran yourself. - Experience setting direction for a developer relations program: choosing where to invest, measuring what worked, and changing course. - Hands-on fluency with AI agents: tool calling, MCP servers, LLM APIs, and agent frameworks. You can build a working agent app live and explain what it needs to run in production, such as long-running tasks, sandboxed code execution, and retries. The field is young, so we look at what you've done recently. We don't expect years of experience in it. - The engineering depth to be credible with senior engineers. You can deploy a multi-service app, read logs, trace a failed deploy, and find the root cause in front of an audience. - Working knowledge of cloud infrastructure: containers and Docker, networking basics, CI/CD, environment configuration, and infrastructure as code. - You use coding agents like Claude Code, Codex, or Cursor every day and keep up with the agent ecosystem as it changes. - Examples of developer feedback you turned into product changes: what you heard, the case you made, and what shipped. - Excellent spoken and written communication. You can hold a room of engineers and explain a complex system clearly. NICE-TO-HAVES - Existing relationships in AI framework, agent tooling, or open source communities. - An existing developer audience through talks, livestreams, a newsletter, or social. - Experience starting or growing in-person developer meetups. - Experience with durable workflows, background job systems, or sandboxed code execution. - You've used Render before, professionally or on side projects. PROJECTS YOU MIGHT WORK ON - A workshop on deploying production agents with Render Workflows, run at a major AI conference and then at our own meetups. - A hackathon co-hosted with an AI framework partner, including the starter kit and the technical support on the day. - The talk track for an upcoming launch, delivered by you and the rest of DevRel. - A recurring field report for Product on where developers get stuck running agents on Render. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view