AI Research Engineer

PostHog AI Team

  • Location

    Remote (Hybrid UK)

  • Timezone(s)

    GMT 0

About PostHog

We're shipping every product that companies need to run their business from their first day, to the day they IPO, and beyond. The operating system for folks who build software.

We started with open-source product analytics, launched out of Y Combinator's W20 cohort. We've since shipped more than a dozen products, including:

  • A built-in data warehouse, so users can query product and customer data together using custom SQL insights.

  • A customer data platform, so they can send their data wherever they need with ease.

  • PostHog AI, an AI-powered analyst that answers product questions, helps users find useful session recordings, and writes custom SQL queries.

Next on the roadmap are CRM, Workflow, revenue analytics, and support products. When we say every product that companies need to run their business, we really mean it!

We are:

  1. Product-led. More than 100,000 companies have installed PostHog, mostly driven by word-of-mouth. We have intensely strong product-market fit.

  2. Default alive. Revenue is growing 10% MoM on average, and we're very efficient. We raise money to push ambition and grow faster, not to keep the lights on.

  3. Well-funded. We've raised more than $100m from some of the world's top investors. We're set up for a long, ambitious journey.

We're focused on building an awesome product for end users, hiring exceptional teammates, shipping fast, and being as weird as possible.

Things we care about

  • Transparency: Everyone can read about our roadmap, how we pay (or even let go of) people, our strategy, and how we work, in our public company handbook. Internally, we share revenue, notes and slides from board meetings, and fundraising plans, so everyone has the context they need to make good decisions.

  • Autonomy: We don’t tell anyone what to do. Everyone chooses what to work on next based on what's going to have the biggest impact on our customers, and what they find interesting and motivating to work on. Engineers lead product teams and make product decisions. Teams are flexible and easy to change when needed.

  • Shipping fast: Why not now? We want to build a lot of products; we can't do that shipping at a normal pace. We've built the company around small teams – autonomous, highly-efficient groups of cracked engineers who can outship much larger companies because they own their products end-to-end.

  • Time for building: Nothing gets shipped in a meeting. We're a natively remote company. We default to async communication – PRs > Issues > Slack. Tuesdays and Thursdays are meeting-free days, and we prioritize heads down building time over perfect coordination. This will be the most productive job you've ever had.

  • Ambition: We want to solve big problems. We strongly believe that aiming for the best possible upside, and sometimes missing, is better than never trying. We're optimistic about what's possible and our ability to get there.

  • Being weird: Weird means redesigning an already world-class website for the 5th time. It means shipping literally every product that relates to customer data. It means building an objectively unnecessary developer toy with dubious shareholder value. Doing weird stuff is a competitive advantage. And it's fun.

What you'll be doing

It’s easy to look at how quickly coding is getting better and to think we’re already in an amazing place. But, we think there’s far further to go, and we think we are uniquely able to help the world take the next step.


PostHog is working on product (and then, later, business) autonomy.

When you open an editor, you shouldn’t be typing “please build me X”, X should already be built for you.

We can do this because PostHog tracks more products across more dimensions than any other company on earth. We have over a trillion data points across events, errors, session replays, revenue data and more. We want to use this data to fix bugs, issues, listen to what customers are asking for, or internal conversations, and ship those things so engineering takes the next step forward - figuring out what you want to keep or edit, not waiting for claude to run all day.

We have an exceptionally large amount of data relative to our company size. This means you can have autonomy, you can be close to customers, work on scrappy teams, and greatly influence what we actually ship.

On the finance side, we have around $150M in balance, we’re super strongly default alive and have had a rapidly growing, real business that makes good margin, runs exceptionally efficiently, and has already been scaling rapidly, for 6 years.

This won’t be easy. Product autonomy is also the most chaotic part of our business - technologies and our own ideas are changing rapidly. You will need to want to work on something that is uncertain, and may fail. People who are proactive, think for themselves, work fast, get product into users’ hands and learn are those that are successful here. It will be fast and intense.

The job will involve training, fine tuning and running models to deepen our ability to achieve product autonomy. Crucially you will need to be able to help us figure out which areas to prioritize as there are so many possibilities for game changing things to ship. We are building a new team specifically for this purpose, working closely with one of the founders.

You will need either a strong background in maths (and able to code) or to have worked on training models previously.

If you have a disability, please let us know if there's any way we can make the interview process better for you - we're happy to accommodate!

Meet the PostHog AI Team

We're giving every developer and leader access to PostHog's AI product assistant to help you build the right thing.

Team members

Does pineapple belong on pizza?

67% say NO!

We have a set system for compensation as part of being transparent. Salary varies based on location and level of experience.

Learn more about compensation

Location

(based on market rates)

Level

Step

Salary calculator

  1. Benchmark (United States - San Francisco, California) $262,000
  2. Level modifier 1
  3. Step modifier 0.95 - 1.04
Salary $248,900 - $272,480+ significant equity
We are open to paying well beyond these ranges for exceptional talent. If this is you, please apply.

  • Generous, transparent compensation & equityGenerous, transparent compensation & equity
  • Unlimited vacation (with a minimum!)Unlimited vacation (with a minimum!)
  • Two meeting-free days per weekTwo meeting-free days per week
  • Home officeHome office
  • Coworking creditCoworking credit
  • Private health, dental, and vision insurance.Private health, dental, and vision insurance.
  • Training budgetTraining budget
  • Access to our Hedge HouseAccess to our Hedge House
  • Carbon offsettingCarbon offsetting
  • Pension & 401k contributionsPension & 401k contributions
  • We hire and pay locallyWe hire and pay locally
  • Company offsitesCompany offsites

Get more details about all our benefits on the Careers page.

Q1 2026 objectives

🏆 Background agents (ultimate goal)

  • Background agents
    • Implement the report: plan, implement, and push it
    • Settings for product autonomy
    • Automatic instrumentation of PRs: Background & PostHog Code
    • Connect sandboxed agents to PostHog Workflows
    • Spawn background agents for people to do chores
      • JTBD: When I have a dashboard that I analyze every day and I care about the metrics there and customer experience, I want to get analysis every day in a channel, so I can quickly analyze the experience, don't spend time on it, and act on signals from the summary.
      • JTBD: When I have a list of customers that I care about and I want to learn about their experience, I want to improve the experience for them, so I feel that I care about customers.
      • JTBD: When I have a list of feedback and I act on it, I want to automate it in some way, so I can get more done better and customers feel cared about.
      • JTBD: Iterate on metrics (experiments, feature flags, etc.)

🌐 PostHog AI in web (very high)

  • UI library for the web app and MCP apps (PostHog AI, PostHog Code, MCP apps)
    • (?) Remap existing components to the new tool structure or create a new one
    • Figure out how we render UI in PostHog Code (MCP apps)
    • Implement
  • Render the components with a tool for SQL queries
  • Sandboxed agent infra for PostHog AI
    • SSE streaming
    • Default environment (image, tools, repo)
    • Reduce latency
  • Migration path
    • Migrated UI
    • Context injection (UI & agent)
    • Switch between v1 and v2
    • Split test
    • Convert conversations to a text format for the new agent
    • Use the sandboxed agent for PostHog AI v2
  • Permission system and subsetting tools (for conversations)
  • Research mode in PostHog AI (step 2)

🛡️ Reliability (very high)

  • LLM gateway in PostHog AI
  • Fallback providers for Anthropic (AWS Bedrock + GCP)
  • Fallback providers for OpenAI (Azure)
  • Improve observability of PostHog AI

🔌 MCP (high)

  • Steering data injection (timezone, project ID, data volume, etc.)
  • Convert more PostHog AI tools to MCP (+skills)
    • Insights
    • Dashboards
    • Session recordings & summarization
  • Disable AI features if the consent is not given
  • Convert legacy manually written tools to codegenerated MCP tools
    • actions: create, delete, get, getAll, update
    • documentation: inkeepApi, searchDocs
    • errorTracking: errorDetails, listErrors, updateIssueStatus
    • experiments: create, delete, get, getAll, getResults, update
    • featureFlags: create, delete, getAll, getDefinition, update
    • insights: create, delete, get, getAll, query, update
    • llmAnalytics: getLLMCosts
    • logs: listAttributeValues, listAttributes, query
    • organizations: getDetails, getOrganizations, setActive
    • query: generateHogQLFromQuestion, run
    • search: entitySearch
    • surveys: create, delete, get, getAll, global-stats, stats, update
  • Improve data retrieval experience for larger organizations (read-data-schema)
  • Optimized property and property value searches with query examples (read-data-schema)

🧙 Skills (high)

  • Wizard skills in PostHog Code
  • Skill distribution: CI for posthog/skills and PostHog coding agent plugins
  • Handle access control in skills when we mention unavailable resources
  • Customer skills (low priority)

📊 Evals (medium)

  • Offline evals
  • MCP evals
  • Update existing evals

🏢 Enterprise features (low)

  • HIPAA
    • Azure account with BAA (schedule a call with Michi) and use Terraform for that
    • OpenAI commitment (min $50k) – check the sentiment of AI teams and sign the contract
  • Regional processing (GDPR/EU)
    • Use AWS Bedrock in the EU for Anthropic models across all deployments
    • Use regional processing for OpenAI models across all deployments

We do 2-3 short interviews, then pay you to do some real-life (or close to real-life) work.

  • 1
    Application (You are here)
    Our talent team will review your application

    We're looking to see how your skills and experience align with our needs.

  • 2
    Culture interview
    30-min video call

    Our goal is to explore your motivations to join our team, learn why you’d be a great fit, and answer questions about us.

  • 3
    Technical interview
    45 minutes, varies by role

    You'll meet the hiring team who will evaluate skills needed to be successful in your role. No live coding.

  • 4
    Culture & Motivation interview
    20 minutes, varies by role

    You have reached the final boss. It's time to chat with one of our Blitzscale team members.

  • 5
    PostHog SuperDay
    Paid day of work

    You’ll meet a few more members of the team and work on an independent project. It's challenging, but most people say it's fun, and we'll pay you $1,000 for your efforts!

  • 6
    Offer
    Pop the champagne (after you sign)

    If everyone is happy, we’ll make you an offer to join us - YAY!

(Now for the fun part...)

Just fill out this painless form and we'll get back to you within a few days. Thanks in advance!

Seriously, just write a couple of sentences about why you love us and you'll be doing better than 90% of applications.

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