Product Engineer - Product Analytics

Position Overview

• Location Type: Remote
• Job Type: Full-Time
• Salary: Not specified

PostHog is seeking to increase the number of successful products in the world by providing developers with a suite of tools to analyze, test, observe, and deploy new features. The company offers product and web analytics, session replay, feature flags, experiments, a CDP, SQL access, a data warehouse, and LLM observability.

Company Information

• About PostHog: PostHog was created as an open-source project during Y Combinator's W20 cohort. It has achieved significant success with over 100,000 companies installing the platform, strong paid upgrades, substantial funding from top investors, and impressive product-led growth driven by word of mouth. The company is growing quickly and sustainably, with an average of 10% monthly revenue growth and over $20m ARR.
• Values:
  • Open source and community building.
  • Transparency in all aspects of the company (roadmap, compensation, strategy, investors).
  • Autonomy and maximizing impact, with individuals choosing tasks based on customer impact.
  • Solving big problems through fast action, innovation, and iteration.
• Location: Globally distributed, currently hiring in timezones GMT-8 to GMT+2.

Team & Manager

• Team: Product Analytics
• Manager: Sandy

Compensation

• Compensation: Please check our compensation calculator.

Interview Process

• Stages: 4 stages across 2-3 weeks.
  1. 30min interview with Coua (Talent Partner).
  2. 60mins interview with Sandy, Team Lead.
  3. Culture & Motivation interview with James, cofounder.
  4. PostHog SuperDay (paid day of work).
• Details: Read more about our interview process and how we hire and think about Diversity & Inclusion.

Responsibilities

You'll be working full stack at the intersection of people and data. The Product Analytics team's mission is to expose powerful tools to help engineers, PMs, and others understand customer product usage.

• Work on the core event tracking system, enabling customers to instrument front-ends and back-ends to track any imaginable metrics.
• Integrate with the data warehouse to allow customers to sync data into PostHog from their own databases and third-party sources.
• Build and maintain a suite of insights that allow customers to visualize data without writing SQL.
• Develop and maintain the internal SQL dialect (HogQL) to simplify complex queries for end users.
• Collaborate with high-scale ingestion pipeline and ClickHouse teams to realize user experience ideas.
• Address and solve increasing scale challenges as data ingestion grows.
• Leverage AI to make it easier for customers to discover insights within their data.