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

present of AI; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Present of AI is seeking a Product Manager for Observability who has written code and now wants to shape the product and the business. You will analyze usage and revenue data with SQL, identify drivers of success or failure against rivals, and turn findings into actionable recommendations.

You will also run user interviews and juggle several threads without explicit direction. The role sits at the intersection of product, data, and AI observability, requiring hands-on curiosity and the ability

Qualifications

• Experience analyzing product usage and revenue data with SQL.
• Experience running user interviews and synthesizing insights.
• Ability to read the competitive landscape and identify differentiators.
• Familiarity with observability products and related tooling.

Responsibilities

• Dig into usage and revenue data with SQL to guide product decisions.
• Spot what makes a product win or lose against rivals and translate into clear actions.
• Turn insights into concrete recommendations for product and GTM.
• Run user interviews and keep multiple threads moving without explicit direction.

Skills

SQL data analysis

User interviews

Competitive analysis

Observability tooling

Tools

Observability tooling

Job description

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

This role asks for someone who has written code and now wants to work on the product and commercial side of observability tools. A strong candidate can dig into usage and revenue data with SQL, spot what makes a product win or lose against bigger rivals, and turn that into clear recommendations. They also need to run user interviews and keep several threads moving without being told what to do.

How it fits the AI era

AI shifts much of the routine data pulling and metric tracking, so the work leans more on framing the right questions and judging what the numbers mean. Talking to users, reading the competitive landscape, and deciding where to focus stay human. The role sits close to AI observability products, so understanding how agents query and act on product data matters.

How it builds AI experience

Building experience here means learning how AI observability and agent query tools work in practice, since the company ships those products. A candidate can get hands on with querying product and business data through agent tooling and study how engineers debug production issues with observability tools. That grounds the commercial and product judgment the role depends on.

Worth showing

• SQL data analysis
• Product metrics tracking
• Observability tool use
• User interview running
• Competitive 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.