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

present of AI; United States; Remote; USD 120,000 - 170,000; Full time

Job summary

PostHog is seeking a Product Manager (ex-founder or ex-product engineer) who will work closely with a small engineering team. The role centers on research and data, with the candidate likely having prior coding experience and SQL skills to answer questions about activation, retention, and churn.

The position focuses on evaluating product performance, gathering user feedback, and studying competitors to inform pricing and feature decisions.

Qualifications

• Experience writing SQL to answer questions about activation, retention, and churn.
• Ability to analyze product metrics and churn trends to inform pricing and features.
• Competitor and pricing research to guide product strategy.

Responsibilities

• Collaborate with 1-2 small engineering teams focusing on research and data-driven decisions.
• Review product performance regularly and discuss with users.
• Study competitors to advise pricing or feature directions.

Skills

SQL data analysis

Product metrics

Churn analysis

Pricing research

Tools

SQL

Job description

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

The role is a product manager who works closely with one or two small engineering teams, and the focus is on research and data rather than managing delivery. A strong candidate has written code before, ideally as a founder or product engineer, and is comfortable writing SQL to answer questions about activation, retention and churn. They also run regular reviews of how each product is doing, talk with users, and study competitors to suggest where pricing or features could improve.

How it fits the AI era

The company sells tools that engineers and their agents use to query and act on product data, so AI is part of both the product and the customer. AI can speed up data pulls, summaries of user interviews and competitor scans. Judgment about which trends matter, how to price a new product, and what users really struggle with still depends on a person who talks to customers and weighs the trade-offs.

How it builds AI experience

Working here means studying how people use AI observability, an MCP server for agents, and a data warehouse, which gives close exposure to how AI products are measured and debugged. Someone preparing could try the product's AI features on a side project, write SQL against usage data, and learn how engineers trace problems in AI apps.

Worth showing

• SQL data analysis
• Product metrics and churn analysis
• Competitor and pricing research

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About PostHog

All-in-one product analytics, session replay, and feature management platform for engineering teams.