Senior Data Analyst - Marketing
Location
Remote, Anywhere
Employment Type
Full time
Department
Data + Growth
Overview
Application
About Supabase
Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.
About the Role
We're looking for a Senior Data Analyst, Marketing to join our Data Intelligence team and build the measurement foundation that tells us what's actually working across paid and PLG channels. You'll work closely with Marketing, Growth, and channel owners, helping us move past platform-reported metrics and vanity numbers into causal, trusted answers about what drives pipeline and revenue.
This role is ideal for someone who thrives in async, fast-paced environments, is AI-forward in how they work, and is excited about building a measurement function from the ground up.
What You'll Be Responsible for
Marketing Measurement Strategy
Own the end-to-end marketing measurement strategy across experimentation, media mix modeling, and attribution for paid and PLG channels
Establish and evolve the attribution framework: how platform data, multi-touch attribution, MMM, and experiments work together to inform decisions
Translate complex measurement outputs into clear recommendations on where to invest, what to cut, and how to hit pipeline, revenue, and efficiency targets (CAC, payback, LTV to CAC)
Serve as the subject matter expert for marketing measurement, educating stakeholders on causality, model uncertainty, and the limitations of platform-reported metrics
Incrementality and Experimentation
Design and run always-on incrementality tests, user-level and geo-level, to quantify the causal impact of key channels, campaigns, and tactics
Calculate incremental lift, incrementality percent, and incremental ROAS/CPA, and use these to guide budget reallocation
Build repeatable analysis templates and playbooks for experiment design, analysis, and readouts so results are consistent across teams
Partner with channel owners (paid search, paid social, lifecycle, website/SEO) to build and prioritize a experimentation roadmap, embedding it into campaign planning, creative testing, and audience strategy
Media Mix Modeling and Forecasting
Build and maintain media mix models using historical data to estimate channel contribution, marginal returns, and optimal budget allocation
Incorporate seasonality, adstock, and saturation effects, and continuously validate model performance through backtesting and reconciliation with experiment results
Turn MMM insights into budget scenarios and forecasts across channels and regions, communicated in a way non-technical stakeholders can act on
Context, Tooling, and Data Integrity
Own and build the context and skills that let marketing teams run accurate self-serve analytics: metric definitions, model documentation, and reusable analysis patterns, not just dashboards
Use AI tools as a core part of daily work to accelerate analysis and go deeper than a traditional analyst workflow allows, and help establish AI-forward practices across the marketing org
Identify gaps and inconsistencies in marketing data (tracking, spend, platform exports) and work cross-functionally to fix them at the root rather than patching around them downstream
You Might Be a Good Fit If You
Have 6+ years in marketing analytics, data science, or a related role, with a focus on performance marketing and/or PLG growth
Deeply understand marketing attribution, incrementality testing, and media mix modeling, and how they complement each other rather than compete
Are advanced in SQL and at least one statistical programming language (Python or R) for experiment analysis and modeling
Have hands-on experience designing, running, and interpreting experiments across digital marketing channels: search, social, display, email, in-product
Have built or worked closely with MMM and/or advanced attribution models, ideally in a consumption or BaaS environment
Have strong business acumen and fluency in growth metrics: CAC, LTV, payback period, conversion rates, funnel performance
Think in terms of self-service and scale: your instinct is to build tools and frameworks that make marketing teams independently capable, not to become the bottleneck for every "did this work" question
Can hold technical and strategic context at once: you're as comfortable in a model's residuals as you are in a conversation about budget tradeoffs
Are AI-forward in how you work: you use LLMs and AI tooling habitually and have a clear point of view on how it changes what an analyst can do
Communicate clearly to non-technical stakeholders and know how to make causal nuance land in a business conversation
Thrive in async, autonomous environments and are energized by building a measurement function from the ground up
Nice to Haves
Experience in BaaS, DevRel or open source dev tool companies, connecting marketing spend to pipeline and revenue outcomes
Experience with applied econometrics, time-series modeling, or Bayesian methods for MMM and experimentation
Familiarity with common marketing and analytics tools (Google Ads, Meta, LinkedIn, web analytics, CDPs, BI/visualization tools)
What We Offer
Fully Remote
We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.
ESOP
Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.
Tech Allowance
Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.
Health Benefits
Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.
Annual Off-Sites
Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.
Flexible Work
We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.
Professional Development
Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.
About the Team
Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.
~400 team members
60+ countries
20+ languages spoken
Over $1B raised (including our $500M Series F)
540,000+ community members
We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.
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Listed by Supabase for a position based in the United States. Employers on this board attest they are hiring domestically.
ABOUT SUPABASE
Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.
ABOUT THE ROLE
We're looking for a Senior Data Analyst, Marketing to join our Data Intelligence team and build the measurement foundation that tells us what's actually working across paid and PLG channels. You'll work closely with Marketing, Growth, and channel owners, helping us move past platform-reported metrics and vanity numbers into causal, trusted answers about what drives pipeline and revenue.
This role is ideal for someone who thrives in async, fast-paced environments, is AI-forward in how they work, and is excited about building a measurement function from the ground up.
WHAT YOU'LL BE RESPONSIBLE FOR
Marketing Measurement Strategy
- Own the end-to-end marketing measurement strategy across experimentation, media mix modeling, and attribution for paid and PLG channels
- Establish and evolve the attribution framework: how platform data, multi-touch attribution, MMM, and experiments work together to inform decisions
- Translate complex measurement outputs into clear recommendations on where to invest, what to cut, and how to hit pipeline, revenue, and efficiency targets (CAC, payback, LTV to CAC)
- Serve as the subject matter expert for marketing measurement, educating stakeholders on causality, model uncertainty, and the limitations of platform-reported metrics
Incrementality and Experimentation
- Design and run always-on incrementality tests, user-level and geo-level, to quantify the causal impact of key channels, campaigns, and tactics
- Calculate incremental lift, incrementality percent, and incremental ROAS/CPA, and use these to guide budget reallocation
- Build repeatable analysis templates and playbooks for experiment design, analysis, and readouts so results are consistent across teams
- Partner with channel owners (paid search, paid social, lifecycle, website/SEO) to build and prioritize a experimentation roadmap, embedding it into campaign planning, creative testing, and audience strategy
Media Mix Modeling and Forecasting
- Build and maintain media mix models using historical data to estimate channel contribution, marginal returns, and optimal budget allocation
- Incorporate seasonality, adstock, and saturation effects, and continuously validate model performance through backtesting and reconciliation with experiment results
- Turn MMM insights into budget scenarios and forecasts across channels and regions, communicated in a way non-technical stakeholders can act on
Context, Tooling, and Data Integrity
- Own and build the context and skills that let marketing teams run accurate self-serve analytics: metric definitions, model documentation, and reusable analysis patterns, not just dashboards
- Use AI tools as a core part of daily work to accelerate analysis and go deeper than a traditional analyst workflow allows, and help establish AI-forward practices across the marketing org
- Identify gaps and inconsistencies in marketing data (tracking, spend, platform exports) and work cross-functionally to fix them at the root rather than patching around them downstream
You Might Be a Good Fit If You
- Have 6+ years in marketing analytics, data science, or a related role, with a focus on performance marketing and/or PLG growth
- Deeply understand marketing attribution, incrementality testing, and media mix modeling, and how they complement each other rather than compete
- Are advanced in SQL and at least one statistical programming language (Python or R) for experiment analysis and modeling
- Have hands-on experience designing, running, and interpreting experiments across digital marketing channels: search, social, display, email, in-product
- Have built or worked closely with MMM and/or advanced attribution models, ideally in a consumption or BaaS environment
- Have strong business acumen and fluency in growth metrics: CAC, LTV, payback period, conversion rates, funnel performance
- Think in terms of self-service and scale: your instinct is to build tools and frameworks that make marketing teams independently capable, not to become the bottleneck for every "did this work" question
- Can hold technical and strategic context at once: you're as comfortable in a model's residuals as you are in a conversation about budget tradeoffs
- Are AI-forward in how you work: you use LLMs and AI tooling habitually and have a clear point of view on how it changes what an analyst can do
- Communicate clearly to non-technical stakeholders and know how to make causal nuance land in a business conversation
- Thrive in async, autonomous environments and are energized by building a measurement function from the ground up
Nice to Haves
- Experience in BaaS, DevRel or open source dev tool companies, connecting marketing spend to pipeline and revenue outcomes
- Experience with applied econometrics, time-series modeling, or Bayesian methods for MMM and experimentation
- Familiarity with common marketing and analytics tools (Google Ads, Meta, LinkedIn, web analytics, CDPs, BI/visualization tools)
WHAT WE OFFER
- Fully Remote
We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.
- ESOP
Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.
- Tech Allowance
Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.
- Health Benefits
Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.
- Annual Off-Sites
Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.
- Flexible Work
We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.
- Professional Development
Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.
ABOUT THE TEAM
Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.
- ~400 team members
- 60+ countries
- 20+ languages spoken
- Over $1B raised (including our $500M Series F)
- 540,000+ community members
We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.
Listed by Supabase for a position based in the United States. Employers on this board attest they are hiring domestically.
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.
Listed by Supabase for a position based in the United States. Employers on this board attest they are hiring domestically.
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.
Listed by Supabase for a position based in the United States. Employers on this board attest they are hiring domestically.
AI Platform Engineer
Location
Remote, Anywhere
Employment Type
Full time
Department
Business Operations
Overview
Application
About Supabase
Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.
About the Role
We are hiring a AI Platform Engineer to build the execution layer for Supabase's internal AI systems.
Supabase is building an AI-native internal operating system: a common way of working across the company where AI carries a meaningful share of the operational load rather than sitting alongside it as an assistant. We are standing up a new central team to build those systems, enable the teams, and embed AI operations throughout the organization. You are the engineer on that team.
The execution layer is yours. You will build the platform that actually runs agents: an event-triggered queue, a headless model-agnostic runtime, durable state so work survives a restart, a human review gate, atomic rollback, and full logging of every prompt, tool call and decision so any run can be reconstructed. You will build the evaluation layer that makes any of it trustworthy, because an agent that cannot be measured cannot be trusted with anything beyond reading. And you will build the agents themselves, across everything from executive reporting down to a layer of agents that watch the platform and improve it.
This is a governance-heavy environment by design, and that is the interesting part of the problem. Agents are risk-tiered from read-only internal data through to external-facing output, with review depth, evaluation requirements and human approval scaling by tier. Some capabilities are permanently off limits: an agent may read and report, it may carry a human-authored update into a system of record once a human consents, and it may initiate contact within a strict budget, but it may never autonomously write a commitment (an owner, a due date, a status) into a shared work system. Your job is to make that structurally impossible rather than merely forbidden.
You will be the only engineer on this platform. You will close open architecture decisions yourself, own the infrastructure end to end, and instrument the system so it reports its own return.
What You'll Be Responsible For
In this role, you'll:
Ship the agent platform to production. An event-triggered queue, a headless model-agnostic runtime (choosing the runtime is an open decision you will close), durable state that survives a failed run, a human review gate, atomic rollback, and complete run logging in the warehouse.
Own the evaluation layer, and switch on the gate that depends on it. Golden suites with behavioral assertions rather than intuition, judge criteria with a written rubric, safety cases that must pass on every run, and a CI gate that blocks a regression from merging. This is the precondition for every agent that does anything beyond read internal data.
Build and register the agent portfolio. Reporting, drafting, linting, triage and question-answering agents across the executive, team-lead and individual-contributor layers, plus a meta layer that observes the platform and improves it.
Enforce governance in code. Risk tiers the pipeline actually enforces, least-privilege credentials per agent, tool-permission gates, a decision audit log, and autonomy classes where the dangerous class has no code path rather than a warning label. Nothing runs without a registered owner, tier, tool grant and human gate.
Design how the system contacts people. A hard interruption budget per person, message bundling instead of a stream of pings, and a structure that gives something useful before it asks for anything. Adoption depends on this more than on any other single design choice.
Own the platform tooling. The compiler and validator, inventory integrity, and the paths that distribute context and capabilities into the repositories and chat surfaces where work happens.
Compute the operating measures from production data. A pipeline from raw system activity through to a computed maturity grade per team, defensible enough that a team can dispute the result and be answered with the query rather than an opinion.
Instrument the platform's own return. A ledger that logs the work each agent absorbs and computes the monthly figure, so the value of the system is a measurement rather than a claim.
How You'll Think
Recursive Thinking
You build the generator, not the artifact. When you need thirty agents, you do not write thirty agents; you build the inventory, the compiler and the distribution path that makes the thirty-first cost an afternoon, then a meta layer whose job is to watch the platform, find its drift and file the fix.
The evaluation layer is the same move applied to trust. You are not checking whether one agent is correct today. You are building the machine that decides whether every future agent is allowed to ship, which means the suite has to be right in a way the agent does not, and the thing that grades has to be graded too.
Inversion Thinking
You start from the failure and work backward to the design. The rule is that an agent may never autonomously write a commitment into a shared work system. The weak implementation is an instruction in a prompt. The strong one is that the credential in the agent's tool grant physically cannot set an owner, a due date or a status, so no amount of clever input, prompt injection or model error produces the forbidden write. You reach for the second one first.
Same for evaluation. Before writing a suite you enumerate how the agent can be wrong: an update that invents progress that did not happen, one that quotes a private channel into a public digest, one that is accurate and reads as an accusation, one that credits the wrong person. Then the suite is that list, each case caught before the agent ships rather than after it embarrasses someone.
AI-Native Execution
You use agentic tools on real work, in files and repositories, with the same rigor you apply to anything else you ship. You have a setup of your own and can describe it mechanically: what triggers it, what it is allowed to touch, where the human approves, what it logs, and how you found out the one time it went wrong.
That experience is this job, generalized. You are building for async engineers across 40+ countries who will judge the platform by whether it saves them an hour or costs them one, so you are your own first user and your own harshest reviewer.
You Might Be a Good Fit If You
Must Have
Have shipped production LLM agent systems that other people depended on. Not demos, not internal showcases. Systems with operational history, real users and at least one incident you can talk through. Prompt engineering on its own does not clear this bar.
Design evaluations, not spot checks. You build golden sets, write behavioral assertions, define judge rubrics, set pass thresholds and gate CI on the result. You can explain why "we reviewed a bunch of outputs and they looked good" is not evaluation.
Have done deep API work against the systems work actually lives in, and have authored MCP servers. You know the specific failure modes of those APIs, not just that they exist.
Own infrastructure end to end in Python on GCP, with a cloud warehouse and infrastructure as code. You provision, deploy, monitor and roll back your own systems, and you close architecture decisions rather than routing them onward.
Have taste about how software contacts humans. You treat every notification as spending a limited amount of trust.
Strong Signal
Public work in this space. An open-source agent framework, an MCP server, an evaluation harness, or writing on agent reliability that other practitioners cite.
LLM observability and cost instrumentation. Tracing agent runs, attributing spend per run, and building the queries that turn raw logs into a report someone acts on.
You have built an internal platform that non-engineers adopted voluntarily, and can describe what you changed after watching them use it.
What Success Looks Like
The platform is boring. Agents run on a schedule and on events, state survives restarts, failed runs roll back cleanly, and every run can be reconstructed from its log.
Nothing ships unevaluated. Every registered agent has a real suite with safety cases, the gate blocks regressions, and when someone challenges an output the answer is a test case rather than an argument.
The dangerous action is impossible, not discouraged. An audit of any agent's credentials shows it cannot perform the writes it is not allowed to perform, and the audit log makes every consequential decision traceable.
Teams pull the platform instead of being pushed. Agents get adopted because the reports are useful and the contact is rare and well-timed, and each team ends up with at least one workflow that runs automatically.
The platform reports its own value. The work absorbed is measured and published, so the case for expanding it is made with data rather than enthusiasm.
What We Offer
Fully Remote
We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.
ESOP
Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.
Tech Allowance
Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.
Health Benefits
Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.
Annual Off-Sites
Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.
Flexible Work
We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.
Professional Development
Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.
About the Team
Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.
~400 team members
60+ countries
20+ languages spoken
Over $1B raised (including our $500M Series F)
540,000+ community members
We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.
Apply for this Job
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Listed by Supabase for a position based in the United States. Employers on this board attest they are hiring domestically.
Team Frontend within Supabase owns tooling for the marketing/docs website and the core product called “Studio” Its used by millions of developers around the world building insanely cool applications. We live and die by user feedback and relentlessly address issues every day to make the product better!
What You’ll Own
Ship products 0→1 and then earn the next version from users. You’ll take features from a blank editor to real users in production, then use what you learn (support threads, usage data, direct conversations) to decide what to build next. We want someone who has done this before: launched something, watched real people use it, and improved it on the strength of that feedback rather than a spec handed down from above.
Own the quality pipeline, not just the feature. In a world where an agent writes a large share of the code, fast, the CI is what keeps that speed safe. You’ll build and tighten the layered checks that let us move quickly without breaking things: type safety at the boundaries, lint and format, unit and component tests, contract tests against our APIs, accessibility, visual regression, and bundle-size budgets, so a red check tells you (or the agent) exactly what to fix before anything reaches users.
Make sure a bug caught once is caught forever. When something slips through, you don’t just patch it. You add the check that would have caught it, at the cheapest stage that can, so the same regression can’t happen twice.
Work end-to-end and in the open. Frontend UI, the API contracts it depends on, preview deploys, observability. You’ll operate autonomously across the stack and do it publicly, in a codebase thousands of developers read and contribute to.
What You’ll Bring
A track record of taking a product from 0→1. You’ve launched something real, put it in front of users, and iterated based on how they actually used it, ideally something you can point us to.
Deep frontend fundamentals with strong React. TypeScript and React, plus a real understanding of the modern landscape (SSR, streaming, server components, edge)
A genuine quality-and-tooling mindset. You treat tests, types, and CI as tools that let you and AI agents move faster, not as a tax. You have opinions about where a check should run and what it’s worth, and experience wiring up pipelines with tools like Vitest, Playwright, MSW, or equivalents.
Comfort working with AI coding agents: reviewing what they produce, tightening the architecture where they overreach, and giving them the guardrails to verify their own work.
Autonomy and async communication. You manage your own time, communicate clearly in writing, and thrive without someone assigning you tickets.
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.
Listed by Supabase for a position based in the United States. Employers on this board attest they are hiring domestically.
Team Frontend within Supabase owns tooling for the marketing/docs website and the core product called “Studio” Its used by millions of developers around the world building insanely cool applications. We live and die by user feedback and relentlessly address issues every day to make the product better!
WHAT YOU’LL OWN
- Ship products 0→1 and then earn the next version from users. You’ll take features from a blank editor to real users in production, then use what you learn (support threads, usage data, direct conversations) to decide what to build next. We want someone who has done this before: launched something, watched real people use it, and improved it on the strength of that feedback rather than a spec handed down from above.
- Own the quality pipeline, not just the feature. In a world where an agent writes a large share of the code, fast, the CI is what keeps that speed safe. You’ll build and tighten the layered checks that let us move quickly without breaking things: type safety at the boundaries, lint and format, unit and component tests, contract tests against our APIs, accessibility, visual regression, and bundle-size budgets, so a red check tells you (or the agent) exactly what to fix before anything reaches users.
- Make sure a bug caught once is caught forever. When something slips through, you don’t just patch it. You add the check that would have caught it, at the cheapest stage that can, so the same regression can’t happen twice.
- Work end-to-end and in the open. Frontend UI, the API contracts it depends on, preview deploys, observability. You’ll operate autonomously across the stack and do it publicly, in a codebase thousands of developers read and contribute to.
WHAT YOU’LL BRING
- A track record of taking a product from 0→1. You’ve launched something real, put it in front of users, and iterated based on how they actually used it, ideally something you can point us to.
- Deep frontend fundamentals with strong React. TypeScript and React, plus a real understanding of the modern landscape (SSR, streaming, server components, edge)
- A genuine quality-and-tooling mindset. You treat tests, types, and CI as tools that let you and AI agents move faster, not as a tax. You have opinions about where a check should run and what it’s worth, and experience wiring up pipelines with tools like Vitest, Playwright, MSW, or equivalents.
- Comfort working with AI coding agents: reviewing what they produce, tightening the architecture where they overreach, and giving them the guardrails to verify their own work.
- Autonomy and async communication. You manage your own time, communicate clearly in writing, and thrive without someone assigning you tickets.
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.
Listed by Supabase for a position based in the United States. Employers on this board attest they are hiring domestically.
Performance Engineer - Performance Analysis & Tuning
Location
Remote, Anywhere
Employment Type
Full time
Department
Engineering
Overview
Application
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 hiring experienced performance engineers to find and land performance wins across the Supabase stack — from the query optimiser to block device level, and across the network paths and cloud infrastructure that connect our distributed platform. This is a performance delivery role: real, measured improvements to our database, platform, and APIs as we scale toward enterprise and platform-grade workloads. The methodologies you develop and tooling you build exist to multiply that delivery.
You'd join a new performance team as one of its first members, working alongside a deeply seasoned performance engineer, with the team growing to roughly six this year. There's no legacy process to inherit — you'll help define how performance engineering works at Supabase.
What you'll do
Find bottlenecks in live production systems and characterize them precisely enough that the owning team can act on them without you in the room.
Partner closely with database teams (e.g. Multigres, OrioleDB) and infra teams to land concrete performance improvements.
Build, communicate, and evolve performance methodologies and tooling that turn live production data into actionable insight.
Partner with the observability team to capture the right signals and establish a unified view of platform performance (latency, throughput, tail behavior) across products.
Help teams self-serve performance analysis and make performance a first-class engineering concern.
Problems you might work on
Tune the kernel's paging behavior to production workloads
Reduce memory overhead in OrioleDB and Multigres
Identify and eliminate sources of latency spikes from application to kernel level
Identify scalability bottlenecks across the entire stack and work the appropriate teams in Supabase and the wider community to resolve them
What we're looking for
Deep experience in performance engineering, specifically performance analysis of complex distributed systems.
You can walk the whole stack: follow a tail-latency problem from the query optimizer through the syscall boundary to the IO scheduler — or across pooler hops, network paths, and availability zones — reading profiles and traces at every layer.
Depth on at least one end of that stack: Linux kernel internals (virtual memory, scheduling, networking, IO) or database internals (query planning, storage engines, buffer and WAL management)
Strong working knowledge of networking and cloud infrastructure performance: TCP behavior under load, network virtualization overhead, and the performance characteristics of AWS primitives (EBS throughput and IOPS, instance network limits, placement groups, cross-AZ latency).
Proven ability to turn performance insights into real product and architecture improvements — including getting teams you don't belong to to prioritize and ship the fix.
Strong written communication: your problem characterisations are precise, reproducible, and compelling on their own.
Pragmatic, tooling-oriented mindset; comfort working across product, infra, and database teams.
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.
Apply for this Job
Powered by
Privacy PolicySecurityVulnerability Disclosure
Listed by Supabase for a position based in the United States. Employers on this board attest they are hiring domestically.
Performance Engineer - Benchmarking
Location
Remote, Anywhere
Employment Type
Full time
Department
Engineering
Overview
Application
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 this role
We’re hiring experienced performance engineers to make performance measurement at Supabase rigorous, repeatable, and actionable by product teams. This role owns the benchmarking and profiling systems we use to detect regressions, explain performance changes, and publish credible numbers for customers and the market. You’ll build the tooling and the methodology and make it easy for product teams to use it correctly.
You’d join a new performance team as one of its first members, working alongside a deeply seasoned performance engineer, with the team growing to roughly six this year. There’s no legacy process to inherit — you’ll help define how we measure and communicate performance metrics at Supabase.
What you’ll do
Build and evolve benchmarking, profiling, and load-testing tooling (cloud, database, and end-to-end).
Define benchmark suites and reference workloads that reflect real customer behavior (and evolve them as the products change).
Establish performance baselines and regression gates across products (variance tracking, environment control, and detection of changes).
Build mechanisms that turn benchmark results into action: triage workflows, owner routing, and clear, reproducible reports.
Partner closely with database teams (e.g. Multigres, OrioleDB) to identify bottlenecks and land concrete performance improvements.
Enable the company to publish credible, repeatable performance numbers for customers and the market.
Help teams self-serve performance testing and make performance a first-class engineering concern.
Problems you might work on
Build our continuous benchmarking infrastructure so product teams can spot performance regressions early. Ideally, teams can run benchmarks directly on PRs or locally while developing a feature.
Analyze and eliminate issues with load generators, workloads or benchmark environments to ensure that benchmarks are reliable indicators for actual product performance.
Build regression triage tooling that pinpoints what changed (diffing, profiles/traces, query-level attribution).
Help product teams so they can analyze the root cause of performance regressions in benchmark environments themselves.
What we’re looking for
Deep experience in performance engineering, benchmarking, and profiling of complex distributed systems. Specifically, you have owned benchmarking systems where reproducibility and controlling variance mattered.
Strong systems intuition (databases, storage, networking, cloud infrastructure).
Comfortable working across product, infra, and database teams.
Pragmatic, tooling-oriented mindset with strong communication skills.
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.
Apply for this Job
Powered by
Privacy PolicySecurityVulnerability Disclosure
Listed by Supabase for a position based in the United States. Employers on this board attest they are hiring domestically.
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 THIS ROLE
We’re hiring experienced performance engineers to make performance measurement at Supabase rigorous, repeatable, and actionable by product teams. This role owns the benchmarking and profiling systems we use to detect regressions, explain performance changes, and publish credible numbers for customers and the market. You’ll build the tooling and the methodology and make it easy for product teams to use it correctly.
You’d join a new performance team as one of its first members, working alongside a deeply seasoned performance engineer, with the team growing to roughly six this year. There’s no legacy process to inherit — you’ll help define how we measure and communicate performance metrics at Supabase.
WHAT YOU’LL DO
- Build and evolve benchmarking, profiling, and load-testing tooling (cloud, database, and end-to-end).
- Define benchmark suites and reference workloads that reflect real customer behavior (and evolve them as the products change).
- Establish performance baselines and regression gates across products (variance tracking, environment control, and detection of changes).
- Build mechanisms that turn benchmark results into action: triage workflows, owner routing, and clear, reproducible reports.
- Partner closely with database teams (e.g. Multigres, OrioleDB) to identify bottlenecks and land concrete performance improvements.
- Enable the company to publish credible, repeatable performance numbers for customers and the market.
- Help teams self-serve performance testing and make performance a first-class engineering concern.
PROBLEMS YOU MIGHT WORK ON
- Build our continuous benchmarking infrastructure so product teams can spot performance regressions early. Ideally, teams can run benchmarks directly on PRs or locally while developing a feature.
- Analyze and eliminate issues with load generators, workloads or benchmark environments to ensure that benchmarks are reliable indicators for actual product performance.
- Build regression triage tooling that pinpoints what changed (diffing, profiles/traces, query-level attribution).
- Help product teams so they can analyze the root cause of performance regressions in benchmark environments themselves.
WHAT WE’RE LOOKING FOR
- Deep experience in performance engineering, benchmarking, and profiling of complex distributed systems. Specifically, you have owned benchmarking systems where reproducibility and controlling variance mattered.
- Strong systems intuition (databases, storage, networking, cloud infrastructure).
- Comfortable working across product, infra, and database teams.
- Pragmatic, tooling-oriented mindset with strong communication skills.
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.
Listed by Supabase for a position based in the United States. Employers on this board attest they are hiring domestically.
Select a role
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