Product Manager (ex-founder or ex-product engineer)

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.

1. Product-led. More than 500K organizations have installed PostHog, mostly driven by word-of-mouth. We have intensely strong product-market fit.

THINGS WE CARE ABOUT

Product management plays a slightly different role at PostHog https://posthog.com/handbook/product/product-team than at most other companies and is incredibly important. Instead of micro-managing engineers, PMs are responsible for research, data, and setting high-level context across the organization. They work across multiple products https://posthog.com/handbook/product/product-team#small-team-membership to determine how products are being used, what the competitive landscape is like, and how users are feeling about PostHog. Using the usual PM jargon we could say PMs at PostHog are very discovery-focused and don’t engage in delivery https://www.svpg.com/discovery-vs-delivery/ almost at all.

Among other things, they:

1. Run growth reviews https://posthog.com/handbook/product/per-product-growth-reviews for products that have product-market-fit

2. Dive into data research projects to answer challenging questions without obvious answers

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