---
title: 'AI Research Engineer at Posthog'
canonical: 'https://feeny.ai/job/ai-research-engineer-posthog-united-kingdom-gf7t35c07qca'
type: 'job'
last_seen: '2026-09-10'
---

# AI Research Engineer at Posthog

- **Company:** Posthog
- **Location:** United Kingdom
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-08-18
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.ashbyhq.com/posthog/8dc3f33a-b930-4c54-b4c4-3e6bd2ff28d3/application

**Skills:** Python, Machine Learning, Deep Learning, Model Training, PyTorch, CUDA, Low-level programming

> The AI Research Engineer will train deep ML models for self-driving products, focusing on session replay analysis, user behavior prediction, and synthetic user testing. The role involves leveraging large-scale data to improve product features like predictive analytics and user experience without relying on external...

## Job description

## About PostHog

Product development used to mean manually writing code, running analysis, diagnosing bugs, and rolling out changes using dozens of tools. PostHog is the only platform that acts like a co-pilot for you (and your AI agents) to do it all – autonomously. We started with open-source product analytics, [launched out of Y Combinator's W20 cohort](https://posthog.com/handbook/story). We've since shipped [more than a dozen products](https://posthog.com/products), including:

- [PostHog Code](https://posthog.com/code), the only AI devtool that understands your product, not just your codebase.
- [A built-in data warehouse](https://posthog.com/docs/data-warehouse), so users can query product and customer data together using custom SQL insights.
- [PostHog AI](https://posthog.com/ai), an AI-powered analyst that answers product questions, helps users find useful session recordings, and writes custom SQL queries.

We are:

- Product-led. More than 450,000 organizations have installed PostHog, mostly driven by word-of-mouth. We have intensely strong product-market fit.
- [Default alive](https://paulgraham.com/aord.html). Revenue is growing incredibly quickly, and we're very efficient. We raise money to push ambition and grow faster, not to keep the lights on.
- Well-funded. We've raised more than $180m 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](https://posthog.com/deskhog).

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](https://posthog.com/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](https://posthog.com/handbook/wide-company) and [make product decisions](https://posthog.com/handbook/which-products). Teams are flexible and easy to change when needed.
- Shipping fast: [Why not now?](https://posthog.com/handbook/values#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](https://posthog.com/founders/cracked-manifesto) 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](https://posthog.com/handbook/company/culture#were-on-the-makers-schedule), 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](https://posthog.com/deskhog) with dubious shareholder value. Doing weird stuff is a competitive advantage. And it's fun.

Who we're looking for PostHog is working on a self-driving product and is training its own Deep ML models. To do this, we have a new AI Research team. We track more products across more dimensions than any other company on Earth. Because of this, we have petabytes of data across events, errors, session replays, revenue data, and more. It’s an exceptionally large amount of data relative to our company size, and we want to use it for our users' benefit. Just imagine how, with the vast amount of data we capture, we can automatically surface insights and suggest fixes. As an AI Research Engineer, you will play a substantial part in making this happen. This team is brand new, so you will have real autonomy, be close to customers, and greatly influence what we actually ship. On the finance side, we have around $150M on our balance sheet, we’re "default alive," and we have a real business that has been scaling rapidly and running exceptionally efficiently with good margins for six years. We invest in what we believe moves the needle.

## What you'll be doing

You'll be part of a team that researches what's next and what's better, and actually brings it into production.

Areas we’re exploring

- Session replay analysis: We already detect issues in replays, but doing so is expensive and doesn’t scale. With better models (and a huge amount of DOM mutation data), we think we can make this faster, cheaper, and best-in-class.
- User behavior prediction: Identifying drop-offs, suggesting improvements, and potentially improving conversion rates automatically without heavy manual analysis or agent overhead.
- Synthetic user testing: Simulating users to catch confusing flows or breakages before release. If this works, it could remove one of the biggest bottlenecks in modern engineering: testing (rather than writing code).

Job Requirements

- A PhD is a plus, but a strong background in math is a must, or you have previous experience training models (strong math skills are still required).
- Strong PyTorch experience.
- Strong ability to code in Rust, CUDA, or C (with a preference for Rust).
- Solid understanding of Transformers (not the movies).
- A product mindset. you’ll be building things!
- This is a unique role within PostHog and, as such, is a hybrid-remote position based out of our London office.

## What we’re not looking for

- Pure theoretical expertise: this is not a Jupyter notebook job.
- Someone who just wants to do research and publish. Yes, you can publish, but shipping takes priority.

We are committed to ensuring a fair and accessible interview process. If you need any accommodations or adjustments, please let us know

## #LI-DNI

## About Posthog

## Company Overview
- **One-liner**: PostHog is an open-source product analytics platform that provides a suite of tools for product engineers to build, analyze, and improve their products.
- **Entity Type**: Private (revenue over $50M, default-alive, venture-backed)
- **Headquarters**: Fully remote (team distributed across 20+ countries, no central office)
- **Founded**: 2020
- **Founders**: Not publicly available in provided sources

## Core Business
- **Primary industry**: Product analytics, developer tools, data infrastructure
- **Target customers**: B2B, enterprises, SMBs, and startups – especially product engineers and data teams
- **Mission**: "Help product engineers build successful products" [[posthog.com/about]](https://posthog.com/about)

## Products & Services
- **Product Analytics**: Core analytics tool for tracking user events, funnels, retention, and insights. SaaS with self-hosted option.
- **Session Replay**: Record and replay user sessions to understand behavior.
- **Feature Flags**: Gradually roll out features and experiment with A/B testing.
- **Data Warehouse & CDP-lite**: Managed warehouse with 120+ integrations, SQL editor, BI, and a customer data platform layer.
- **A/B Testing**: Native experimentation tool integrated with feature flags.
- **API & Webhooks**: Programmatic access and event streaming.
- **Error Tracking & App Monitoring**: (Product OS suite) – observability and exception tracking.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Annual Revenue > $50M (stated on careers page) [[posthog.com/careers]](https://posthog.com/careers)
- **Notable Investors/Partners**: Y Combinator (used by 65% of each batch); investors and partners are not detailed in provided sources.
- **Growth Signals**: 190,254+ customers; 98% use the free tier; company has grown to 200+ team members; highly transparent (public handbook, roadmap, and salary calculator).

## Competitive Advantages
- **Open-source core**: Codebase publicly auditable, fostering trust and community contributions.
- **Extreme transparency**: Public salary calculator, company handbook, roadmap, and even investor communications.
- **Usage-based pricing**: Generous free tier (1M events/mo), matches cheapest major competitor, no sales calls required.
- **Wide product suite**: Single platform replaces multiple tools (analytics, session replay, feature flags, data warehouse, etc.).
- **Remote-first culture**: 100% remote, global team, asynchronous communication, and no micromanagement.

## Strategic Focus
- **Current priorities**: Continuing to expand the "Product OS" suite to cover every tool a product engineer needs; maintaining razor-thin pricing to drive scale; fostering an autonomous small-team structure to ship fast.
- **Growth direction**: Deepening integrations and data connectivity, moving upmarket with enterprise features while preserving self-serve, and expanding AI/observability products.

## Why Work Here
- **Remote-first**: Fully remote with no geo-restrictions; $300/mo co-working budget and $1,500/quarter travel budget for team meetups.
- **Culture**: "We're weirdos, low egos, and biased for action." Two meeting-free days per week (Tuesdays and Thursdays).
- **Benefits**: Unlimited PTO (minimum 25 days/year), generous parental leave, yearly company off-sites and hackathons, $1,000 paid SuperDay for candidates.
- **Equity**: 10-year exercise window, double-trigger acceleration, employee secondaries (first tender offer in 2025).
- **Transparent pay**: Salary and equity ranges publicly listed (e.g., Product Engineer: $270,750 – $296,400 + significant equity). Full calculator available before applying.
- **Autonomy**: Organized into small, autonomous teams (like "startups within a startup") with direct reporting to execs and minimal hierarchy.

## Sources
1. [posthog.com/about](https://posthog.com/about) – Company overview and mission
2. [posthog.com/](https://posthog.com/) – Homepage with product details and pricing
3. [posthog.com/careers](https://posthog.com/careers) – Revenue, team size, compensation, and interview process
4. [posthog.com/handbook/company/culture](https://posthog.com/handbook/company/culture) – Remote culture, transparency, and values
5. [posthog.com/handbook/wide-company](https://posthog.com/handbook/wide-company) – Small team structure and autonomy

## Other roles at Posthog

- [Technical Staff Writer (Blogs & Newsletters)](https://feeny.ai/job/technical-staff-writer-blogs-newsletters-posthog-remote-5hyexpad1mbz)
- [ClickHouse Operations Engineer](https://feeny.ai/job/clickhouse-operations-engineer-posthog-remote-4x8ssmszh6nw)
- [Backend Engineer - Ingestion (Europe/UK timezone)](https://feeny.ai/job/backend-engineer-ingestion-europe-uk-timezone-posthog-emea-kyrawp388h15) — EMEA
- [Technical Customer Success Manager - EMEA](https://feeny.ai/job/technical-customer-success-manager-emea-posthog-emea-9a6s16zp4z9g) — EMEA
- [Site Reliability Engineer (US - Central/Eastern time)](https://feeny.ai/job/site-reliability-engineer-us-central-eastern-time-posthog-united-states-k4f719bsnatj) — United States
- [Site Reliability Engineer (US - Pacific time)](https://feeny.ai/job/site-reliability-engineer-us-pacific-time-posthog-san-francisco-6nghzs9t9vky) — San Francisco, CA
- [Business Development Lead - Americas](https://feeny.ai/job/business-development-lead-americas-posthog-remote-fy9d95v4emms)
- [Technical Customer Success Manager - Americas](https://feeny.ai/job/technical-customer-success-manager-americas-posthog-remote-v3cxmnx5bvbm)
- [Technical Account Executive - EMEA](https://feeny.ai/job/technical-account-executive-emea-posthog-remote-tn3cyt05ayav)
- [AI Research Engineer](https://feeny.ai/job/ai-research-engineer-traversal-new-york-d1zd7pjyh1m6) — New York, NY