Product Manager

Great Question is an AI customer research platform that helps teams recruit participants, conduct research, and share insights. The Product Manager will own a strategic product area, identify opportunities through product data and customer signals, guide a team of engineers, and drive initiatives from hypothesis through launch and evaluation.

Responsibilities:

• Find the bet. Dig through product data and customer signals – support chats, sales asks, your own research – and come back with a strong hypothesis about what will move your outcome
• Shape it. Sometimes that means scoping the problem carefully. Sometimes it means skipping straight to a prototype. Part of the job is knowing which. Then decide what happens now, later or never
• Ship it well. Keep the team organized and motivated, and stay close enough to the details that it ships on time and to a high bar
• Release it. Run the launch and make sure Sales, Success and Marketing know what’s coming and have what they need
• Learn from it. Watch what happens, then decide whether to double down, iterate or stop

Requirements:

• 5+ years as a product manager in B2B software
• You're as comfortable in product analytics or a database query as you are on a customer call
• You form strong opinions and change them when the evidence does
• You stay in the details, and you've shipped complex work on time without lowering the bar
• You use AI tools like Claude Code or Cursor every day, and you've shipped AI features yourself – MCP servers, agentic workflows – that held up in production
• You're excited about it
• You try new tools constantly, keep up with what's possible, and can tell where AI helps and where it just adds noise
• You use AI to get hands-on, whether that's shipping a small fix or prototyping something in code
• You talk to customers regularly and it shows up in your decisions
• You communicate clearly, make the call, and commit
• You see what needs doing and do it without waiting to be asked
• You push through the hard parts and finish what you start, without letting quality slip
• You've worked on B2B workflow products, especially multi-step flows where state and status get complicated
• You've worked hands-on with agent runtimes, or measured the quality of AI output
• You've been on a remote, async team before