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AI Research Engineer

Posthog·Hybrid (UK)·Remote·Posted 18 August 2026

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About the role

ABOUT POSTHOG PostHog is your product’s context layer. It ingests and stores your analytics, errors, replays, and business data so you and your agents can query and act on it. We launched out of Y Combinator's W20 cohort https://posthog.com/handbook/story. We've since shipped more than a dozen products, including: - A suite of analytics and observability tools, including product analytics https://posthog.com/product-analytics, replay vision https://posthog.com/replay-vision, AI observability https://posthog.com/ai-observability, and error tracking https://posthog.com/error-tracking - PostHog MCP https://posthog.com/mcp for users and their agents to query and act on their product and business data - Data warehouse https://posthog.com/context-warehouse/managed-warehouse so users can query product and customer data together using custom SQL insights. We are: 1. Product-led. More than 500K organizations have installed PostHog, mostly driven by word-of-mouth. We have intensely strong product-market fit. 2. 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…

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