Team Product Analytics

Product Engineer

  • Department

    Engineering

  • Location

    Remote (US, UK, EMEA)

  • Timezone(s)

    GMT +2 to GMT -8

About PostHog

We’re equipping every developer to build successful products by giving them a suite of products to analyze, test, observe, and deploy new features. We currently offer product and web analytics, session replay, feature flags, experiments, a CDP, SQL access, a data warehouse, and LLM observability… and there’s plenty more to come.

PostHog was created as an open-source project during Y Combinator's W20 cohort. We had the most successful B2B software launch on HackerNews since 2012 with a product that was just 4 weeks old. Since then, more than 100,000 companies have installed the platform. We've had huge success with our paid upgrades, raised bags of money from some of the world's top investors, and have extremely strong product-led growth – 97% driven by word of mouth. 

We're growing quickly, but sustainably. We're also default alive, averaging 10% monthly revenue growth and with more than $20m ARR. We're staying focused on building an awesome product for end users, hiring a handful of exceptional team members, and seeing fantastic growth as a result.

What we value

  • We are open source - building a huge community around a free-for-life product is key to PostHog's strategy.

  • We aim to become the most transparent company, ever. In order to enable teams to make great decisions, we share as much information as we can. In our public handbook everyone can read about our roadmap, how we pay (or even let go of) people, what our strategy is, and who we have raised money from. We also have regular team-wide feedback sessions, where we share honest feedback with each other.

  • Working autonomously and maximizing impact - we don’t tell anyone what to do. Everyone chooses what to work on next based on what is going to have the biggest impact on our customers.

Solve big problems -we haven't built our defining feature yet. We are all about acting fast, innovating, and iterating.

What you'll be doing

You'll be working full stack at the intersection of people and data. Our mission on the Product Analytics team is to expose powerful tools to help engineers, PMs, and everyone else understand how customers are using their products. 

At the core of our product offering is our event tracking system, which allows customers to instrument both their front-ends and back-ends to track any metrics they can imagine. Our product also integrates with our data warehouse, which allows customers to sync data into PostHog from their own databases and third-party sources, unlocking PostHog as the ultimate BI tool. 

We’ve built a suite of insights that allow customers to visualize their data in incredibly useful ways without writing any SQL. We've also built and maintain our own SQL dialect (known internally and affectionately as HogQL), and are constantly expanding it to make complex queries as easy as possible for our end users.

On the Product Analytics team, you’ll get to be adjacent to our high-scale ingestion pipeline and ClickHouse teams, working together to make whatever user experience you can dream of a reality.

As we grow and continue to ingest more data, we'll face and solve increasing scale challenges, and will continue to leverage AI to make it as easy as possible for our customers to discover insights in their data. Our goal is to position ourselves as an indispensable tool in our customers’ stacks, not only providing insights, but being a piece of the infrastructure that powers their applications

You'll write and master Python, TypeScript, (ClickHouse|Postgres|Hog)SQL, Rust, and a little bit of C++.

Requirements

  • You'll have full-stack experience with relevant technologies (Python or similar, React or similar, something to do with big data is a bonus)

  • You have started a project from scratch. You might have led a project, been a founder previously, or built an impressive side project.

  • You have strong communication skills. We document everything, most of it publicly.

  • You move fast, have a strong bias for impact and you don’t shy away from stepping on toes.

Nice to have

  • You've worked in a high-growth SaaS company

  • Extensive experience with Django and/or TypeScript-based React

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!

#LI-DNI

Salary

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) $243,000
  2. Level modifier 1
  3. Step modifier 0.95 - 1.04
Salary $230,850 - $252,720plus equity

Benefits

  • 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.

Your team's mission and objectives

Makers everywhere get better at building products because of PostHog

Q2 2025 objectives

  • Data warehouse support in insights (Thomas)

    • A query using data warehouse and events tables, with complex joins can be implemented using UI only.
  • Query node migration system (Thomas)

    • We can evolve the schema of query nodes in non-trivial ways e.g. renaming a property or changing the type of a property.
    • Frontend side query nodes are migrated or gracefully discarded.
  • Paths V2 follow-ups (Thomas)

    • The V2 version of the insight has feature parity with V1 and is rolled out to users.
  • Insight colors follow-ups (Thomas)

    • The dashboard breakdown colors feature supports all insights.
    • The insight colors feature supports all insights, by adding a modal to allow customization of colors and handling the customizations in all chart types.
  • Alerts (Anirudh)

    • Migrate to temporal from celery
    • Alert notifications in slack (supported from CDP destinations)
  • Statistical analysis (Anirudh working with Anna)

    • Confidence intervals
    • Forecasting
    • Trend lines
    • (stretch) Root cause analysis
  • AI generated insights (Anirudh)

    • Suggested insights section (above all insights maybe)
      • Once we have the users data, we can figure out what insights to generate (from say signup events,...) maybe even create entire dashboards
    • Related charts
      • When users are looking at a funnel step, we can suggest an autogenerated insight that shows dropoffs from the funnel step. Similar to related charts on Amplitude, we can dedicate a section to this on applicable insights
  • Improve Insight / Dashboard Load Times (Sandy)

    • Figure out EU database performance issues
    • Investigate top reasons why dashboard insights are not cached or are recalculated
    • Look into improving caching
      • Move cache warming to temporal
    • Edit Mode for Insight
  • Improve Exports (Sandy)

    • Move them to temporal
    • Better alerting when fail (tell the user why, especially OOM, suggest less columns)
    • Think about increasing limits or helping the user with pagination
  • Action Improvements (Sandy)

    • Saved Filters
    • Investigate warehouse enabled actions (for insights that support it)
  • Passwords for shared dashboards (Sandy)

  • Onboarding improvements (Anna)

    • Working together with #team-growth, we should continuously improve new user experience
  • Insight tabs / unified "data explorer" (Anna)

    • Figure out the UX
  • AI taxonomic filters

Interview process

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
    Founder interview
    30 minutes

    You have reached the final boss. It's time to chat with James or Tim.

  • 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!

  • 6
    Offer
    Pop the champagne (after you sign)

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

Apply

(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!

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