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Applied AI Engineer

About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere. About the Role As an Applied AI Engineer you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. This role can be based in Delhi, Mumbai or Bangalore. 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: Partner directly with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria. Design, build, and deploy AI systems that solve important customer problems and produce measurable business outcomes. Work hands-on in code to build prototypes, evaluation harnesses, reference implementations, integrations, and production accelerators. Make sound technical decisions across models, agents, retrieval, tools, data, reliability, observability, latency, cost, safety, security, and governance. Diagnose complex implementation challenges, reproduce failures, test hypotheses, and drive blockers toward resolution. Help customers progress from promising prototypes to reliable production systems, sustained adoption, and scaled impact. Partner closely with customer engineering teams and OpenAI Product, Research, Engineering, Security, and go-to-market teams, translating deployment experience into high-signal product feedback. Create reusable architectures, tooling, playbooks, and technical guidance that accelerate future enterprise deployments. You’ll thrive in this role if you: Have a demonstrated track record of designing, building, and delivering AI or machine-learning systems in enterprise environments, including taking systems from prototype to production. Relevant backgrounds may include applied AI or ML engineering, forward-deployed engineering, software engineering, customer engineering, solutions architecture, or technical consulting. Can point to substantial personal contributions in code, architecture, evaluation, debugging, or production engineering—not only program or stakeholder management. Are highly proficient in Python and comfortable working across an AI application stack; experience with JavaScript, TypeScript, or another relevant language is valuable. Understand how to evaluate AI systems systematically using representative data, graders, production signals, and human judgment. Have navigated enterprise production requirements such as integrations, reliability, observability, security, privacy, data governance, performance, and cost. Can connect technical decisions to customer workflows, adoption, and measurable business outcomes. Communicate with clarity and credibility across hands-on engineers, technical leaders, security teams, product leaders, and executives. Bring high agency, strong technical judgment, and end-to-end ownership in ambiguous environments. Learn quickly, challenge assumptions constructively, and collaborate with humility; experience in a particular industry or with OpenAI products is not required. 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.

Marketing Manager Taiwan

SMB Marketing Manager

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About The Role: We are seeking a marketing professional who combines strategy and execution, owning demand gen programs and campaigns for the SMB sales segment and startups in Japan. You will partner closely with cross-functional stakeholders—including the Japan sales org, Japan and global marketing teams, and external agencies—to plan and deliver programs that drive results. In addition, this role supports growth of Notion’s startup program by building awareness and driving trial acquisition, partnering with the Global/APAC startup team to execute marketing activities and recruit partners. You may also support other marketing initiatives to unlock the full potential of the business in Japan. What You'll Achieve: Develop a strong understanding of the Notion product and the SMB user/buyer journey to identify the highest-impact plays for the segment. Partner with SMB Sales leadership to set program priorities, define target audiences and goals, and align on campaign plans—proactively communicating progress, results, and learnings to stakeholders. Own end-to-end execution of events and webinars —from planning and logistics through day-of delivery and post-event lead management—translating the agreed program plan into flawless execution. Partner closely with SDRs to ensure timely follow-up, clean lead handoffs, and maximum pipeline impact. Execute demand gen campaigns in our marketing automation platform (e.g., nurture/engagement programs), including audience/segmentation setup and campaign builds, in coordination with Japan + global marketing teams on content and messaging (e.g., gated offers). Partner with APAC Marketing Ops and BizTech to keep GTM systems running smoothly (marketing automation platform, Salesforce, Outreach, Sansan)—including intake/ticketing, operational processes, and system governance (e.g., lead scoring changes, integrations, and best practices). Own lead and pipeline reporting for the SMB segment , tracking key KPIs and regularly assessing pipeline health to inform optimizations across programs. Increase awareness of the Notion for Startups program among early-stage startups and drive acquisition of startup trials through localized, high-velocity campaigns. Skills You'll Need to Bring: 5–7 years of experience managing and executing demand generation programs and campaigns for B2B companies. Proven track record of hitting aggressive growth goals by leveraging campaigns such as email and webinars, with expertise in end-to-end campaign development, execution, and measurement. Proficiency with marketing automation platforms, SFDC, Outreach, Sansan and Figma. Customer-centric and insight-driven. You understand the customer journey and each influencer in the decision-making process, and you use customer insights to design campaigns. Strong cross-functional relationship-building skills. You’ve worked closely with sales, content, SDRs and operations partners. Experience planning and executing webinars from start to finish. Previous experience working with global teams. Proficient in fluent-level Japanese and business-level English, both written and verbal. You don’t need to be an AI expert, but you’re curious and willing to adopt AI tools to work smarter and deliver better results. A builder mindset Nice to Haves: Be a Notion power user and are already an advocate for the tool. Track record of interacting with startup founders, VC firms, and incubators A Note on AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. Equal Opportunity & Accommodations We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Engineering Productivity Engineer

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 an EngProd Engineer to join our Engineering Operations team and own the engineering experience from local setup to production deploy. You’ll build and integrate the tools our engineers rely on every day: local development, code search, testing, code review, CI, AI-assisted workflows, and the metrics that show where time is being lost. You’ll work closely with other engineering teams at Supabase to eliminate friction, optimize cycle times, and make reliably shipping to production effortless. This role is ideal for someone who thrives in async, fast-paced environments and is excited about building developer tools that engineers love and that empower them to do their best work. What You’ll Be Responsible for In this role, you’ll: Improve local development and the daily workflow Own local development environment stability; eliminate “works on my machine,” keep environments reproducible across teams, and make onboarding and setup self-service for every engineer Improve the daily editing experience, including IDE and editor tooling, extensions, and code search, indexing, and navigation that stays fast as the codebase grows Build paved roads: project scaffolding, templates, and golden-path workflows that make the right thing the easy thing Speed up build, test, and CI Improve our testing tooling and make sure it works well for engineers, including test orchestration, ephemeral end-to-end environments, and techniques like mutation and chaos testing that catch what ordinary tests miss Profile build and test performance, optimize CI pipelines, parallelize and shard tests, cache aggressively, and hunt down the bottlenecks that leave engineers waiting Integrate and optimize code review tooling and automated review Bring AI into how we build Evaluate, integrate, and promote AI coding agents and assistants where they deliver real leverage without sacrificing quality or maintainability Build and curate the skills, extensions, and plugins that make those tools effective in our codebase Measure the real impact of AI tooling so we invest where it actually pays off Drive engineering excellence Champion best practices and be a force multiplier for our engineering org Track productivity metrics and feedback loops (e.g. DORA) to find where cycle time is lost and improve on it Track code-quality signals such as coverage and mutation testing, and build the dashboards that make quality visible Establish automation and practices that catch issues early in the development cycle You Might Be a Good Fit If You Have 7+ years of software engineering experience, with a focus on developer productivity, infrastructure, or platform engineering Are passionate about developer experience and productivity; you notice when engineers are fighting tools rather than solving problems, and you can’t help but fix it Are proficient in Go, TypeScript, Python, Rust, and shell and use them to build robust internal tools You have experience with: CI/CD systems and pipeline optimization (e.g. Github Actions, ArgoCD, Octopus, Harness) Local development environments and reproducibility (e.g. devcontainers, Nix, Docker) Containerization and image optimization AI-assisted development tools such as coding agents and IDE assistants, with a clear point of view on where they help and where they don’t Test infrastructure and test orchestration, ephemeral end-to-end environments, flaky-test management, and approaches like mutation or chaos testing Code review and developer workflow tooling, and the automation that streamlines it Monorepo tooling, build systems, and package managers (e.g. pnpm, Nx, Turborepo, Bazel), including build caching and remote execution Developer productivity metrics and feedback loops (e.g. DORA), and using data to drive improvements You’ve made local development environments stable and reproducible across teams 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.

Industrial Compute

About the Team OpenAI’s Compute organization turns ambitious AI research into real-world capability by delivering the compute infrastructure behind our most advanced models. The team works across software, hardware, facilities, operations, and engineering disciplines to make enormous amounts of compute available, reliable, and efficient. As the demand for frontier AI grows, so does the complexity of the systems required to support it. Scaling this infrastructure means solving problems that cut across distributed systems, ML infrastructure, GPU fleets, power, cooling, networking, manufacturing, supply chain, and data center delivery. Our work is focused on expanding the compute foundation that enables OpenAI to train more capable models, including systems like GPT-5.6, and make frontier AI available to more people, products, and workflows. We’re looking for exceptional people across many disciplines to help build the next generation of AI infrastructure at a scale few organizations have attempted. About the Role We are hiring across a broad range of roles to help design, build, scale, and operate OpenAI’s compute infrastructure. Depending on your background, you may work on large-scale distributed systems, ML infrastructure, hardware systems, manufacturing, supply chain, data center development, or the physical engineering systems required to bring massive compute capacity online. You’ll work with teams across research, engineering, hardware, operations, and infrastructure to solve high-impact problems at extraordinary scale. This may include improving system reliability, accelerating deployment timelines, increasing operational efficiency, designing new infrastructure, or helping bring new compute platforms and facilities from concept to production. This is an opportunity to work on one of the most important infrastructure challenges in AI: building the compute foundation required to train and serve increasingly capable frontier models. Key Responsibilities Help build, scale, and operate OpenAI’s global compute infrastructure. Solve complex problems across software, hardware, manufacturing supply chain, and data center systems. Improve the reliability, performance, efficiency, and scalability of critical infrastructure. Partner with cross-functional teams to bring new compute capacity online quickly and reliably. Identify bottlenecks across technical, operational, and physical systems, and develop practical solutions. Build tools, processes, systems, or infrastructure that improve execution at scale. Contribute to the long-term architecture and operational maturity of OpenAI’s compute footprint. Qualifications Have experience building, scaling, or operating complex technical systems. Enjoy working on ambiguous, high-impact problems where the path forward is not always defined. Are comfortable collaborating across disciplines, including software, hardware, operations, and physical infrastructure. Have strong technical judgment and a bias toward execution. Care deeply about reliability, speed, safety, and operational excellence. Are excited by the challenge of building infrastructure at unprecedented scale. Want your work to directly support the development and deployment of frontier AI. Preferred Skills Have experience with AI infrastructure, high-performance computing, distributed systems, GPU clusters, or cloud-scale platforms. Have worked on hardware systems, manufacturing, supply chain, data center development, or large capital infrastructure projects. Have domain expertise in civil, controls, mechanical, hardware, electrical, thermal, power, networking, or facilities engineering. Have helped bring new technical platforms, data centers, factories, or large-scale systems from concept to production. Have experience operating in fast-moving environments where technical depth and execution speed both matter. 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.

Software Engineer, API Multimodal

About the Team API Multimodal builds the developer-facing products and infrastructure that bring OpenAI’s image, audio, and real-time model capabilities into the world. We are responsible for high-scale APIs for image generation, speech transcription, speech generation, and low-latency voice interactions. We partner closely with Research and Inference to bring frontier model capabilities to developers and use customer feedback to improve our models. About the Role As a software engineer on API Multimodal, you will build and operate the products and distributed systems behind OpenAI’s image, audio, and real-time APIs. You will work across model integration, API design, and production infrastructure to turn new research capabilities into reliable developer experiences. This hands-on role combines backend and systems depth with product judgment: you will own projects end to end, partner with Research, Inference, and Safety, and help make multimodal AI useful at scale. Model training experience is not required. In this role, you will: Design, build, and ship developer-facing APIs and backend services that serve frontier models. Architect low-latency streaming, request, session, and model integration systems that make complex multimodal interactions reliable and intuitive at scale. Work directly with Research to bring new model capabilities into production, shape the systems around them, and incorporate feedback from real-world developers and customers. Own the availability, latency, scalability, and cost efficiency of the services you build. Own projects from technical design and implementation through launch and ongoing iteration, while raising the team’s engineering standards. Your background might look something like: 7+ years of professional experience, excluding internships, in backend, infrastructure, platform, or product engineering roles. A track record of designing, building, and operating production backend services, developer-facing APIs, or distributed systems. Strong software engineering and systems fundamentals, with experience leading technically complex projects from ambiguous ideas to production. Proficiency in one or more general-purpose backend languages, such as Python, Go, Rust, or TypeScript. Experience building reliable, scalable systems and reasoning about distributed architecture, concurrency, latency, observability, and operational tradeoffs. Product judgment and developer empathy, including an ability to turn complex model or infrastructure capabilities into clear, intuitive APIs. Clear communication and a collaborative approach to working with researchers, product managers, designers, infrastructure engineers, and customers. A strong sense of ownership, comfort with ambiguity, and a bias toward learning directly from users while continuously improving engineering quality. Experience with real-time streaming, audio processing, speech systems, image generation, computer vision, or multimodal AI applications is helpful, but not required. 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.

Support Engineer (AMER - Weekends)

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

Product Designer, Internship - US Government

Senior Fullstack Engineer

Outcomes Growth Strategy and Programs Lead

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About the Role: Notion’s global Outcomes organization is focused on helping customers achieve business objectives with Notion. As the Growth Strategy & Programs Lead, you will help design and scale the programs, operating rhythms, and cross-functional initiatives that make install-base growth more explosive and repeatable globally. This is a high-impact strategy and programs role. You will create the clarity, structure, and execution systems that help the business grow existing customers more deliberately. You will bring analytical rigor to how we understand growth, translate insights into scalable programs, and help teams execute with consistency while still allowing for local market nuance. The ideal candidate is equally comfortable building a model, writing a crisp recommendation, aligning executive stakeholders, and turning a strategy into a practical field motion. This role will be based in San Francisco. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. In your first 90 days, you will: Learn Notion's post-sales operating model, regional execution model, and current install-base growth priorities. Partner with RevOps, Data Science, Finance, Sales, Outcomes, and Services leaders to develop a practical view of the key drivers and leading indicators behind retention and expansion. Identify a focused set of priority growth programs or plays to support the business in the near term. Build the initial program plans, success metrics, stakeholder map, and operating cadence for those priority initiatives. Partner with regional teams to understand how global programs should be adapted for local execution. Create clear documentation, field-facing materials, and executive-ready updates that help teams align and act. Establish a repeatable rhythm for reviewing progress, capturing learnings, and improving What You'll Achieve: Help build a clear, shared view of the drivers behind expansion and adoption across Notion's customer base. Design and scale global programs that support customer adoption, value realization, cross-sell, upsell, and durable growth. Partner with regional and functional leaders to turn local learnings into repeatable playbooks, programs, and operating cadences. Create measurement, reporting, and review mechanisms that help teams understand what is working and where to focus. Support the design of customer growth motions that connect Sales, Services, and Partners. Help codify best practices so growth becomes part of the standard operating rhythm, not a set of one-off campaigns. Bring structure to ambiguous, cross-functional initiatives and drive them from idea to operational execution. Skills You'll Need to Bring: Experience in management consulting, investment banking, business operations, or post-sales GTM operations. Strong analytical and structured problem-solving skills; you can turn ambiguous business questions into clear frameworks, insights, and recommendations. Proven ability to design and manage cross-functional programs from strategy through execution. Strong stakeholder management across senior leaders and operating teams, with the ability to align people around a shared plan. Excellent written communication, including crisp strategy docs, program plans, executive updates, and field-facing materials. Comfort working in a global organization where programs need a strong central strategy and room for regional adaptation. Ability to operate autonomously, prioritize effectively, and bring structure to fast-moving, ambiguous work. Strong business judgment and curiosity about what drives customer adoption, retention, and expansion. Nice to Haves: Familiarity with usage-based, consumption-based, or product-led growth models. Experience building or scaling global programs across multiple regions or customer segments. Exposure to pricing, packaging, services, partners, or monetization initiatives. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated range for total on target earnings (including base salary and on target incentive pay) for this role is $250,000 - $280,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy . #LI-Onsite A Note on AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. Equal Opportunity & Accommodations We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Director, Data Science

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! The AI Product's Data Science org is at the center of the next generation of products at Figma, spanning Make, Figma Agent, Design Systems, and other areas. Data is critical to setting strategy and measurement across these areas. This org engages closely with AI Research and is a driving force behind our evals work and the future of product measurement at scale. With a charge to uplevel Figma’s use of data, the team works alongside other Data Scientists and Engineering to identify ways to implement and democratize new statistical methods, build data frameworks, and incorporate data within Figma’s product development process. This team contributes to the company’s goals by collaborating closely with product managers, engineers, and our finance team to uncover new opportunities, identify inefficiencies and recommend improvements through data-driven insights. As Director, you will lead a team of data scientists and managers, setting the vision for how data shapes strategy across Figma's AI products. You'll work closely with Product, Engineering, Design, and Research leadership to embed data-driven thinking and modern AI-product measurement into how we build. 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: Lead, support, and grow a team of data scientists and data science managers with varied strengths and expertise focused on product strategy, internal tooling, and Impact measurement Champion data quality, accessibility, and the democratization of data across the company Establish trust within and across teams by creating accountability and a positive work environment in partnership with other leaders in the organization Partner with Product, Engineering, Design, Research, Sales, Marketing, or Finance to drive impact Shape how we measure AI products: evals, quality, and experimentation for LLM-powered assistants and agents in partnership with AI Research We'd love to hear from you if you have: 8+ years of experience managing and leading high output Data Science teams, with at least 2 years managing other managers 7+ years of experience working in AI, Data Science, or a related field Proven experience building or measuring AI products, ideally LLM-powered assistants, agents, chatbots, or copilots Demonstrated expertise in statistical methods, experimentation, and/or forecasting, with the technical curiosity to learn and grow alongside your team Ability to scale teams in high-growth environments, with a desire to build an inclusive and diverse culture While not required, it’s an added plus if you also have: Experience owning 0 to 1 product areas 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: $290,000 — $376,000 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 .

Support Engineer (EMEA - Weekends)

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