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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. Start in minutes with a fully managed, scalable Postgres database and a suite of tools that eliminate the complexity of backend development. Use one or use all—Supabase gives teams the flexibility of open source with the speed and simplicity of a modern platform, so they can move fast without sacrificing control. What Are We Looking For We’re looking for a Platform Security Engineer to join our team and help strengthen the security of Supabase’s infrastructure, cloud platform, Kubernetes environments, and containerized workloads as we continue to scale. You’ll work closely with infrastructure, platform, SRE, product engineering, and technical leadership , helping us proactively reduce risk across the systems that run Supabase. This role is ideal for someone who has deep hands-on experience with AWS, Kubernetes, containers, Linux, and large cloud environments and is excited about securing developer infrastructure without slowing teams down. Success in this role means improving the security posture of the platform through pragmatic engineering, clear technical judgment, and scalable guardrails. What You’ll Be Responsible for In this role, you’ll: Identify and reduce security risk across AWS, Kubernetes, containerized workloads, and platform infrastructure. Conduct threat modeling, architecture reviews, and technical risk assessments for platform and infrastructure systems. Partner closely with infrastructure, platform, and SRE teams to design practical controls and secure-by-default patterns. Improve Kubernetes and container security across areas like workload isolation, RBAC, admission control, secrets, network policy, and runtime hardening. Assess container runtime and Linux isolation risks, including capabilities, seccomp/AppArmor, namespaces, cgroups, and container escape scenarios. Strengthen AWS security posture across IAM, account boundaries, network controls, logging, detection, encryption, and service configuration. Build scalable mechanisms such as automation, guardrails, paved paths, detection, secure defaults, and review frameworks. Distinguish between theoretical risk and material platform risk to prioritize security efforts effectively. You Might Be a Good Fit If You Have senior-level experience in platform security, cloud security, infrastructure security, container security, or security engineering . Have deep practical experience with AWS, Kubernetes, containers, and Linux security fundamentals . Have worked in large cloud environments , multi-cluster Kubernetes setups, developer platforms, SaaS platforms, or high-scale infrastructure teams. Can reason clearly about identity, networking, workload isolation, runtime security, secrets, supply chain, and blast radius . Communicate clearly across both technical and non-technical audiences, especially in a written, asynchronous environment . Are able to manage security efforts across complex projects with various stakeholders Are energized by solving real-world infrastructure security problems and navigating ambiguity while moving quickly. Prefer building guardrails, automation, and secure defaults over creating unnecessary process or bottlenecks. 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.
About the Team The Enablement Lead (EL) team enables organizations to turn OpenAI products into real, sustained impact through world-class enablement and training execution. Our mission is to help customers successfully adopt and operationalize AI across their organizations. We partner with enterprises to translate the potential of OpenAI’s technology into durable capability—through structured training, technical enablement, and scalable deployment programs. By helping customers move from experimentation to production, the EL team accelerates time-to-value, deepens product adoption, and helps make OpenAI indispensable to how organizations work. About the Role The Enablement Lead, Knowledge Work is a specialist post-sales enablement role focused on delivering high-impact enablement and adoption services across OpenAI’s product suite. This role is responsible for designing and delivering enablement experiences that support a repeatable adoption framework, driving sustained activation, expanding breadth and depth of usage, and measurable business value across OpenAI’s product suite, including ChatGPT Enterprise and Agents. This role blends strong product fluency, instructional design, and customer advisory. You will lead live workshops, deliver services, and design adoption interventions for audiences ranging from everyday business users to technical practitioners and executive leaders, helping customers understand not just what OpenAI’s products can do, but how to apply them effectively in real world workflows. Success in this role means accelerating customer confidence, increasing product adoption, supporting successful launches of new product capabilities, and helping customers translate product features into tangible outcomes across teams and business functions. You will own outcomes related to activation and sustained usage by shaping how enablement drives measurable customer impact. This role is based in London/Dublin. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees In this role, you will: Own the enablement of OpenAI products, including ChatGPT Enterprise and Agents, helping define effective enablement patterns that support adoption across business and technical teams within enterprise organizations. Serve as a Subject Matter Expert (SME) for designated product areas, building deep expertise, supporting internal enablement, identifying emerging customer use cases for new product surfaces, and aggregating customer feedback to inform product development. Lead customer enablement across the full customer lifecycle, from initial onboarding through expansion, optimization, and long-term adoption. Design and deliver high-impact engagements, including onboarding sessions, advanced capability trainings, executive briefings, hackathons, and hands-on workshops for audiences ranging from senior leaders to working teams. Drive customer activation, sustained usage, and measurable business value through structured enablement programs designed for durable, organization-wide adoption. Partner closely with Sales, Solution Architects, Delivery Leads to drive adoption across our core product suite. Develop and refine reusable training assets, playbooks, and best practices based on patterns observed across customers and regions. Gather customer feedback from training and enablement engagements, synthesize themes across accounts, and relay insights to internal stakeholders to inform product and program improvements. Serve as a Subject Matter Expert (SME) for designated product areas, building deep expertise, supporting internal enablement, identifying emerging customer use cases for new product surfaces, and aggregating customer feedback to inform product development. You might thrive in this role if you: Have 6+ years of experience in customer facing, enablement, or instructional roles, engaging C-level, business, and technical audiences in complex enterprise environments. Possess exceptional presentation and communication skills, particularly when translating AI capabilities into clear, practical value for senior and executive level audiences. Have strong product fluency across ChatGPT, Agents, and the broader OpenAI ecosystem, with a practical understanding of how AI capabilities can be applied to real world workflows and enterprise use cases. Have experience leading workshops and enablement programs, with the ability to design learning journeys, facilitate live sessions, and respond to questions in real time. Can identify patterns across customers and translate them into scalable approaches that improve adoption across the broader customer base Can connect product capabilities to concrete business outcomes such as productivity gains, operational efficiency, cost reduction, risk mitigation, or revenue impact. Are comfortable thinking on your feet in live customer environments, adapting quickly to new information, shifting priorities, and real time questions while maintaining clarity, ownership, and momentum. Bring a humble attitude, an eagerness to help others succeed, and a strong curiosity to continuously learn and deepen your understanding of emerging AI capabilities. Are personally committed to fostering the safe and responsible evolution of AI. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's services partner ecosystem is a critical channel for bringing Claude to enterprise customers worldwide. This ecosystem spans the full spectrum of services firms — from global system integrators and the world's largest consultancies, to specialist and regional SIs, to our growing cohort of AI-native boutique partners. Together, their reach, vertical depth, and delivery capacity are essential to scaling Claude's enterprise footprint. Managing this breadth well requires rigor, repeatability, and a team that can drive meaningful joint outcomes across a portfolio of partners that differ widely in scale, operating model, and maturity. We're looking for a Head of Partner Management & Ecosystem BD to lead the team of Partner Account Managers responsible for the full range of our services partnerships and to develop and execute commercial strategies for the ecosystem in partnership with Sales. You'll coach and develop a team of PAMs, shape the operating model for how we engage each segment of the ecosystem, and build the programs, playbooks, and measurement systems that let us scale with quality. You'll work closely with partnerships leadership, sales, product, and customer success to ensure our partners are equipped to win and deliver transformative AI solutions for their clients. The commercial side of this role is as important as the team-leadership side. Working hand in hand with Sales leadership, you'll define where and how partners create revenue for Anthropic — which partners we co-sell with in which accounts and industries, how partner-sourced and partner-influenced pipeline is built and forecast, and what a joint account plan looks like when both sides own the number. You'll develop new ways of going to market, while also managing the tri-party motion with our cloud service partners and tech company partnerships, so that a services partner, a cloud platform, and Anthropic show up to a customer as one coordinated offer rather than three separate conversations. This role sits at the intersection of team leadership, partner strategy, and operational execution. You'll stay close enough to the work to engage directly with partner leadership when it matters, while investing most of your time in making your team and the broader ecosystem more effective over time. Key responsibilities Lead, coach, and develop a team of Partner Account Managers covering Anthropic's services partners, from global SIs and consultancies through to AI-native boutique partners Set clear expectations, goals, and operating standards; hold the team accountable to partner revenue, pipeline, and program outcomes Hire and retain exceptional talent; build a team culture grounded in rigor, partnership, and care for Anthropic's mission Develop and execute commercial strategies for the partner ecosystem in partnership with Sales — defining joint account plans, co-sell priorities by segment and industry, and pipeline and revenue targets that both organizations own Develop new ways of going to market, while also managing the tri-party motion with our cloud service partners and tech company partnerships Build the rules of engagement between PAMs and account teams: how partners are brought into deals, how sourced and influenced pipeline is attributed and forecast, and how conflicts are resolved Identify and launch new partner-led routes to market — industry solutions, packaged offerings, marketplace transactions — and prove them out with a small set of partners before scaling across the portfolio Own the ecosystem's contribution to the revenue plan; report on partner-sourced and partner-influenced pipeline, bookings, and consumption to partnerships and sales leadership Shape the operating model for each segment of the ecosystem: how PAMs plan with partners, run QBRs, forecast, track partner health, and prioritize their time across a portfolio Design engagement models that fit the partner — executive-level, multi-threaded relationships with global SIs alongside scalable, programmatic coverage for boutique and regional partners Partner with the broader SI program to adapt tier structure, benefits, and requirements to partner dynamics Build and evolve playbooks that help PAMs recruit, onboard, activate, and grow partners consistently Work with enablement, product, and solutions teams to ensure partners have the training, certifications, and technical resources they need to build and deliver production-grade Claude solutions Identify gaps in partner readiness, drive cross-functional investment to close them, and ensure consistent quality of partner engagement across the team Collaborate with sales, partner operations, marketing, legal, and finance to remove friction and accelerate joint outcomes Surface partner, market, and product insights to inform Anthropic's broader partner strategy and roadmap, and represent the business in partnership leadership forums Minimum qualifications Experience leading partner sales, channel sales, alliances, or partner management at a technology company, including ownership of a revenue number Experience managing partner-facing teams, including senior individual contributors A track record of driving revenue through SI or consulting partner channels, consistently meeting or exceeding targets Executive-level relationships with C-level and partner-level stakeholders at major consulting and services firms Experience developing and executing commercial strategy jointly with a Sales organization, including co-sell motions, joint account planning, and partner-sourced pipeline that shows up in the revenue plan Strong commercial acumen and comfort coaching a team through complex deals, partner negotiations, and multi-stakeholder enterprise sales cycles Fluency with partner KPIs, pipeline forecasting, and dashboards, and experience using data to drive team and program decisions Excellent communication and relationship-building skills, from partner practitioners to senior executives, both externally and internally Willingness to travel to support partner relationships and joint customer engagements Interest in AI and a commitment to Anthropic's mission of building safe, beneficial AI systems Preferred qualifications A track record of building and scaling a commercially focused partnerships organization, from early stage to mature operations — defining the strategy, hiring the team, establishing the operating cadence, and delivering measurable revenue outcomes Experience running multi-party go-to-market motions with cloud service providers and technology partners, and a clear view on how to keep those motions aligned when incentives diverge Familiarity with hyperscaler co-sell programs and marketplace-led transactions, and experience launching a new partner route to market from concept to repeatable motion Experience building or scaling partner programs — tier structures, enablement, playbooks, and operating cadences — in a fast-growing environment Experience managing a portfolio that spans both a small number of top-tier strategic accounts and a broad base of smaller partners, and a view on how to drive leverage across both Direct experience working with or at global SIs or consultancies, and/or with specialist, regional, or AI-native boutique services firms Experience in AI, cloud platforms, or other high-growth technology categories where partner enablement and technical differentiation are critical Experience managing partner teams across multiple geographies and cultures A background that spans partner management and adjacent disciplines such as direct enterprise sales, partner sales, or alliances strategy Comfort with ambiguity and a track record of creating structure in emerging programs A point of view on how AI is reshaping the SI ecosystem and how Anthropic should engage global SIs, specialist partners, and AI-native boutiques differently The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $425,000 — $580,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: As an Applied AI team member at Anthropic, you will be a cybersecurity specialist working alongside our enterprise account teams to help the world’s largest organizations use Claude to secure the systems and software they build and run. You’ll combine deep security expertise with customer-facing skills to help customers along their cybersecurity journey with Claude, wherever they are starting from, and wherever they want to go. Enterprise security teams are at very different stages with AI: some are running their first experiments, others are ready to put Claude to work across their security program. They also span every kind of organization, each with its own priorities: regulated industries like financial services, insurance, and healthcare; strategic accounts like semiconductors, focused on protecting IP, securing industrial control systems, and handling export controls; and digital natives and public sector agencies with their own threat models. You’ll meet customers where they are, help identify where Claude can take on meaningful security work, and guide them from early pilots to lasting, production security workloads. Along the way, you’ll help security leaders explain the value of this work in terms their executives care about. Working closely with our Sales, Product, Research and Engineering teams, you’ll guide customers from technical discovery through deployment, and you’ll work with the partners in the security ecosystem — ISVs, systems integrators, and managed security providers — that already serve these customers, enabling them where they own the engagement rather than competing with them. Responsibilities: Partner with account executives and account architects to understand a customer’s security program, identify where Claude can take on real security work, and translate that into a technical plan and a business case Serve as the primary security-domain technical advisor to large enterprise customers, from discovery and initial evaluation through deployment, coordinating internally across multiple teams and stakeholders to drive customer success Move customers from one-time code scanning to sustained security workloads: application security embedded in the software development lifecycle, continuous automated penetration testing, alert triage and investigation, and threat intelligence that answers “does this new vulnerability affect us, and where” Build and maintain the reference implementations, harnesses, and evaluation approaches customers use to run these workloads with Claude, and help customers adapt them to their own environments and controls Design and run workshops and hands-on sessions where customer security teams engage directly with Claude on their own code and workflows Work with security industry partners on shared accounts, enabling them to deliver Claude-powered security outcomes and drawing a clear line between what Anthropic delivers directly and what partners deliver Deliver technical content across the full range of audiences: deep dives with security engineers and appsec teams, and value- and risk-focused conversations with CISOs and executives Define and track how deeply each security workload is adopted across your accounts, and work with our Product and Engineering teams on the telemetry needed to measure it Write the playbooks and best practices for each security workload that the rest of the field can reuse, including how Claude complements the security tooling customers already own Identify common patterns and feature gaps and contribute insights back to our Product and Engineering teams Develop reference customers who can speak to the value they are realizing Travel occasionally to customer sites for workshops, technical deep dives, and relationship building Maintain strong knowledge of the latest developments in LLM capabilities and in the security landscape, including the new classes of vulnerabilities and attacks that frontier models surface You may be a good fit if you have: 5+ years of experience in security roles, with hands-on depth in at least two of: application security and secure SDLC, offensive security and penetration testing, detection and response, or threat intelligence and vulnerability management Experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, security consultant, or Technical Account Manager, or in a security team where you had to win investment from leadership Experience working with large enterprise customers, navigating complex buying cycles involving multiple stakeholders, and working alongside the vendors and partners already in the account The ability to explain the value and risk of security work to CISOs and executives, and to translate between security teams, engineering teams, and the business Comfort with Python and with CI/CD and cloud environments, and direct experience integrating tooling into an engineering workflow Familiarity with common LLM frameworks and tools, and practical experience using LLMs for security work — code review, vulnerability discovery, triage, or investigation Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Strong candidates may also have: Experience building or operating security automation at scale — scanning pipelines, triage systems, or detection engineering Experience serving a broad range of customers and the security priorities that come with each: regulated industries such as financial services, insurance, or healthcare; strategic accounts such as semiconductors, where the concerns are protecting IP, securing industrial control systems, and handling export controls; and digital-native and public sector organizations Experience working with or at a security ISV, systems integrator, or managed security provider Contributions to open-source security tooling, published research, or CVEs to your name The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $240,000 — $315,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Figma’s Business Development & Partnerships team accelerates our company goals by working with partners to enhance product experiences, expand our ecosystem, and drive user and revenue growth. As Figma’s product portfolio and user base continue to evolve, the team plays a critical role in connecting our platform to a broader network of builders, developers, and solution partners. As Figma expands how AI is embedded across products like Figma Make and Agent, partnerships with leading and emerging AI providers are becoming increasingly important to our product strategy. We’re looking for an AI Product Partner Manager to identify, develop, and manage relationships with AI model and technology providers, translate product priorities into partnership opportunities, and bring integrations and go-to-market programs to life. In this role, you’ll work closely with Product, Engineering, AI Research, Marketing, Communications, Legal, Strategic Finance, and executive stakeholders to deliver meaningful impact for Figma, our partners, and our users. If you’re excited about working at the intersection of AI, product, and partnerships, and you enjoy bringing clarity and momentum to complex opportunities, this may be the role for you! This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: Develop and own partnership strategies for emerging AI model providers and other strategic technology partners, monitoring the evolving AI landscape and evaluating where new models, technologies, or capabilities could advance Figma’s product and company priorities. Work closely with Product, Engineering, and AI Research to understand roadmap priorities, coordinate access to promising technologies, support technical and product evaluations, and translate findings into partnership recommendations. Evaluate inbound opportunities from AI providers, existing partners, and strategic customers, developing clear recommendations and briefs for product leaders and executive stakeholders. Lead new partnership opportunities with existing and prospective partners, including integrations, product collaborations, and go-to-market programs in partnership with Marketing, Communications, and Sales Enablement. Align internal stakeholders around partnership structures and terms, lead negotiations, and execute agreements in collaboration with Legal, Strategic Finance, and other cross-functional teams. Manage the day-to-day health of partner relationships and multiple concurrent workstreams, defining success metrics, measuring impact, and proactively addressing risks and open questions. Collaborate with Product, Engineering, and partner technical teams to scope integrations and extensibility opportunities involving APIs, MCP, and other technical platforms. Prepare and facilitate executive briefings, strategic partner meetings, and internal updates while helping strengthen the operating foundation for Figma’s growing AI partner program. We'd love to hear from you if you have: 5+ years of experience in product or technology partnerships, business development, ecosystem management, or strategic partner management, with a track record of driving multifaceted partnerships from strategy through execution. Experience working in AI or strong familiarity with the AI model landscape preferred. A history of leading end-to-end deals, including developing the business case, aligning stakeholders, negotiating terms, and executing agreements while balancing the needs of Figma, our partners, and our users. Experience working with Product, Engineering, Research, Marketing, Operations, Legal, Finance, and other internal teams around technical concepts including APIs, MCP, extensibility platforms, and AI model integrations. Excellent written, verbal, presentation, and executive communication skills. Strong analytical, organizational, and prioritization skills, along with the strategic judgment, curiosity, and initiative allowing you to thrive in a fast-moving and ambiguous environment. While not required, it’s an added plus if you also have: Direct experience managing partnerships with AI model providers, frontier AI companies, or open-weight model ecosystems. Experience coordinating early access programs or product and technical evaluations with AI providers. At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $140,000 — $296,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Safeguards team is responsible for ensuring our models and products are developed and deployed safely. We're looking for an Engineering Manager to lead our Review Tooling team, which builds the systems that humans — and increasingly Claude — use to investigate potential harms and take enforcement actions across Anthropic's first-party products and third-party cloud platforms. This is a foundational role: you'll own the tools our safety investigators rely on to understand what's happening on our platforms and act on it, as well as the platform underneath those tools. That platform includes analytics capabilities, privacy-preserving primitives that keep review workflows compatible with our data retention commitments, and a sandbox environment where new review interfaces and workflows can be built and iterated quickly. As model capabilities and usage grow, you'll also drive how we scale review through automation — building systems where Claude meaningfully extends what human reviewers can do, while keeping people in the loop where their judgment matters most. You'll partner closely with policy, operations, data science, and legal teams to ensure our enforcement systems are effective, accurate, and trustworthy. Key responsibilities Lead, grow, and develop a team of engineers building investigation, review, and enforcement tooling for both first-party and third-party platform surfaces Define the vision and roadmap for our review tooling platform, including analytics, privacy-compatible data access primitives, and a sandbox for rapidly developing new review interfaces Drive the team's strategy for scaling review through automation, including enabling reviewers to use Claude effectively and building toward Claude-assisted and Claude-driven review workflows Partner with policy, operations, legal, privacy, and data science stakeholders to translate enforcement and investigation needs into reliable, well-designed systems Ensure review tooling evolves alongside new privacy primitives and data retention commitments, so reviewers can do their work without compromising user trust Create clarity for the team and stakeholders in an ambiguous and evolving environment Take an inclusive, equitable approach to hiring and coaching top technical talent, and maintain a high-performing team Contribute to engineering-wide initiatives as a member of Anthropic's engineering management community Minimum qualifications Experience managing software engineering teams, including hiring, coaching, and developing engineers A technical background in full-stack or platform engineering, with the ability to engage deeply in architecture and design discussions Experience shipping internal tools or platforms with demanding operational users, and a track record of improving their workflows measurably Experience working cross-functionally with non-engineering partners such as operations, policy, or legal teams Excellent communication skills, including the ability to explain technical tradeoffs to non-technical stakeholders Care about the societal impacts of AI and want your work to make powerful systems safer Preferred qualifications 4+ years of management experience, 10+ years of industry software engineering experience Experience building trust and safety, integrity, fraud, or abuse-prevention tooling, or other systems supporting human review at scale Experience designing systems under strict privacy, compliance, or data governance constraints, such as zero data retention environments Experience integrating LLMs or agentic systems into operational workflows, or building human-in-the-loop automation Experience building developer platforms or extensible tooling frameworks that other teams build on top of Experience supporting enforcement or moderation systems across multiple product surfaces, including enterprise or cloud platform contexts The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £325,000 — £390,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking Software Engineers to join our Observability team within the Infrastructure organization. The Observability team owns the monitoring and telemetry infrastructure that every engineer and researcher at Anthropic depends on—from metrics and logging pipelines to distributed tracing, profiling, error analytics, alerting, and the dashboards and query interfaces that make it all actionable. By joining this team, you'll have a direct impact on the reliability and operational excellence of Anthropic's research and product systems. As Anthropic scales its infrastructure across massive GPU, TPU, and Trainium clusters, the volume and complexity of operational data is growing by orders of magnitude—and an increasing share of the hardest problems live below the application layer. We're building next-generation observability systems—high-throughput telemetry pipelines, fleet-wide continuous profiling, eBPF-based tracing and network visibility, and agentic diagnostic tools—so engineers can detect, diagnose, and resolve issues in minutes rather than hours, even when the answer lies in the kernel, the network stack, or an accelerator rather than on a dashboard. Key responsibilities Design and build scalable telemetry ingest and storage pipelines for metrics, logs, traces, and error data across Anthropic's multi-cluster infrastructure Build observability solutions that give engineers deep, low-overhead visibility into system behavior across the fleet Own and evolve core observability platforms, driving migrations and architectural improvements that improve reliability, reduce cost, and scale with organizational growth Build instrumentation libraries, SDKs, and eBPF-based auto-instrumentation to emit high-quality telemetry, with and without code changes Reduce mean time to detection and resolution by building cross-signal correlation—from kernel-level events up to application traces—unified query interfaces, and AI-assisted diagnostic tooling Drive fleet-wide efficiency by turning continuous profiling and utilization telemetry into actionable optimization insights across CPU, memory, and accelerator fleets Partner with Research, Inference, Product, and Infrastructure teams to ensure observability solutions meet the unique needs of each organization Minimum qualifications Have hands-on experience building and operating large-scale observability or monitoring infrastructure Have deep, hands-on experience with observability signals end to end—from instrumentation through ingest to query and analysis Understand high-throughput telemetry pipelines and the tradeoffs involved in collecting, storing, and querying operational data at scale Are comfortable digging below the application layer into the kernel, the network stack, or the hardware Have excellent communication skills and enjoy partnering with internal teams to improve their operational visibility and incident response capabilities Are excited about building foundational infrastructure and comfortable navigating ambiguous, high-impact technical challenges, both independently and with a team Preferred qualifications 10+ years of relevant industry experience, including building and operating large-scale observability or monitoring infrastructure Experience building or operating eBPF-based observability in production—tracing, profiling, or network visibility Experience running continuous profiling at fleet scale, including managing overhead budgets and symbolization Kernel- and syscall-level debugging experience and performance engineering craft Experience profiling or instrumenting accelerator workloads Experience operating metrics systems at very high cardinality, or large-scale telemetry storage backends Experience with OpenTelemetry instrumentation, collector pipelines, and tail-based sampling strategies Interest in applying AI/LLMs to operational workflows such as automated root cause analysis, anomaly detection, or intelligent alerting The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £325,000 — £390,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
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 building a high-performance CI/CD execution platform similar to runners used by tools like Buildkite, GitHub Actions, and Blacksmith CI. Our platform executes developer pipelines reliably at scale, integrates deeply with source control, and automates build, test, and deployment workflows. In this role, you will design and build the distributed systems responsible for running CI/CD pipelines securely and efficiently. This includes orchestrating ephemeral compute environments, managing build isolation, scheduling jobs across fleets of workers, and ensuring reliability at scale. This role is ideal for someone who thrives in async, fast-paced environments and is excited about building developer tools that scale to millions. What You’ll Be Responsible For Design and improve the core orchestration engine that manages the lifecycle of creating, merging, and rebasing Supabase Branches . Provision ephemeral sandboxed execution environment on EKS / ECS for running untrusted build workloads from connected git repositories with securely managed secrets. Implement job scheduling that scale to thousands of concurrent builds. Optimize and reduce pipeline runtimes with caching, artifact storage, and dependency reuse. Manage retry, timeout, cancellation, and failure-propagation logic to ensure pipelines behave predictably under failure conditions. Instrument the full pipeline lifecycle with observability tooling to surface traces, metrics, and structured logs to the end user. Develop configuration files (JSON / TOML) and integrations (Terraform / Pulumi) that allow teams to easily define, trigger, and inspect pipelines in code. You Might Be a Good Fit If You Have strong software engineering skills (Go and Typescript required); Have 3+ years of experience building and operating cloud infrastructure or distributed systems at scale; Have cloud Infrastructure knowledge - familiarity with AWS constructs is required, past experience using the AWS SDKs and IaC tools (Pulumi, Terraform, etc) to build and operate infrastructure is strongly preferred. Have a production operations mindset - track record of building reliable, observable, and maintainable systems Have an ownership mindset - you thrive in being able to operate independently with high-level guidance Communicate clearly across both technical and non-technical audiences Have experience in async or globally distributed teams Are energized by solving real-world problems for developers Are comfortable navigating ambiguity and moving quickly 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.
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 seeking a platform engineer to join our Compute Capacity team. This team owns the capacity plan that keeps compute supply ahead of demand across every region we operate in — the forecasting, buffer policy, and provisioning systems that make sure a project never runs into a wall it didn't know was there. You'll work on the systems that turn a capacity plan into provisioned reality: reservation acquisition, fleet reconciliation, and the automation that keeps what we've committed to in sync with what we're actually running. You'll help build the metrics and alerting that let capacity problems surface months out, on vendor lead time, rather than at the moment someone needs the room. You'll design, build, and operate systems that are both robust and highly automated — helping us hold the right buffer at the right cost, catch drift before it becomes a shortage, and give every team a single, trustworthy view of how much room we have across the millions of databases we manage. What You'll Be Responsible For Help build and maintain the capacity plan that keeps Supabase's compute supply ahead of demand across regions and instance families Support buffer policy by modeling headroom targets and their cost tradeoffs for review and sign-off Build and maintain automation that turns the capacity plan into provisioned reality — reservation acquisition and top-up, fleet reconciliation, drift detection between committed and running capacity Extend our infrastructure as code for capacity-relevant provisioning Instrument capacity: build and maintain metrics for saturation, reservation coverage, idle buffer, forecast error, and provisioning latency Build and tune capacity alerting so headroom, quota, and reservation issues surface months out rather than at the moment of impact Support the demand gate — helping intake large customer commitments, launches, migrations, and new regions so they reach the plan before they reach the fleet Contribute to mitigation projects: right-sizing, instance-family migrations, autoscaling improvements, workload consolidation Help drive down compute cost per database through right-sizing, placement, and commitment coverage work Participate in capacity incident response and post-incident follow-through You Might Be A Good Fit If You Have 5+ years across infrastructure engineering, SRE, platform, or capacity engineering, ideally at SaaS or cloud infrastructure scale Have production software engineering experience — you've owned and operated a service , not just a notebook. Comfortable in modern languages like TypeScript, Python , and Go Are comfortable working against forecasts and assumptions that are incomplete, and can revise your work as those assumptions change Have experience with Infrastructure as Code (Pulumi or Terraform) Have built or maintained observability for systems you own — metrics that answer real questions and alerting people trust (Prometheus/Grafana, CloudWatch, or similar); Have solid working knowledge of AWS EC2 : instance families and generations, purchase options, capacity reservations, and quota mechanics Have some financial fluency — you understand reservation economics and the basic tradeoffs between coverage, utilization, and cost Communicate clearly across audiences, from engineers to finance stakeholders 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.