AI Product Manager

About the role

The Predictive Index is an award-winning talent optimization leader. Our mission is to improve workplace relationships and culture, and we are looking for a Product Manager to join our AI team.

Responsibilities

• Own the product strategy and roadmap for PI’s AI surface, Obi, and the AI-powered workflows built alongside it, with real accountability for response quality, user trust, and measurable outcomes across all of it.
• Define and maintain the evaluation framework that tells the team whether Obi and its adjacent workflows are working: rubrics, test cases, quality signals, and the instrumentation to track them over time.
• Pair directly with engineers in tight delivery cycles, providing the clarity they need to move fast without waiting on meetings or approvals. Provide the deep details, including deep details on AI evals, prompt architecture, and system-prompt design.
• Operate with high autonomy on day-to-day decisions while staying closely connected to business objectives; you'll be trusted to make the call, not wait for one.
• Run continuous discovery to stay close to customer reality; interviews, opportunity mapping, synthesis of product and behavioral signal; ensuring that roadmap decisions are grounded in evidence, not assumptions.
• Design AI-powered features and workflows with a clear point of view on what AI should and shouldn't do in each context and the intellectual curiosity to keep learning as the technology evolves.
• Pair with a data scientist to build the instrumentation and outcome tracking that tells the team what's working: adoption signals, time-to-value metrics, and experimentation results.
• Translate ambiguous strategic questions into clear decisions the team can execute against.
• Document as you execute; write the PRDs, eval specs, JIRA artifacts, and decision memos.

Requirements

• 5-8 years of product management experience with a track record of shipping, not just planning, especially shipping AI. You've owned features from discovery through delivery and have the outcomes to show for it.
• A passion for using AI in every aspect of your work. We're an AI-forward team that expects every member to take full advantage of modern tools to sharpen thinking, move faster, and extend the team's capacity.
• A self-directed learning orientation. AI is evolving fast, and you're the kind of person who stays ahead of it, experiments with new tools, and brings what you learn back to the team.
• A demonstrated ability to work through ambiguity. You don't need every answer handed to you; you ask good questions, form a hypothesis, and move forward.
• A strong research instinct, experience running customer discovery, and judgment on when to move and when to keep discovering. You can design and run interviews, synthesize signals, and translate what you learn into product decisions. You do discovery, you don't just consume it.
• A collaborative team player who can operate independently from day-to-day leadership direction but works closely and generously within their immediate team; engineers, designers, and scientists who are building alongside you.
• The ability to write with the clarity that replaces meetings. Your PRDs, decision memos, and Slack updates are crisp, decisive, and make the tradeoffs visible.
• Experience working directly with engineers in fast-moving delivery cycles. You're the kind of PM engineers want to build with, not around.
• A builder's mindset. You take ownership, drive clarity, and cover surface area beyond your title when the work calls for it.

Qualifications

• An engineering background or technical foundation; you don't need to write production code, but understanding how software is built makes you a better partner to the engineers building it.
• Experience with AI concepts (i.e., LLMs, agents, APIs, MCP), even if you're still building fluency. Curiosity and a learning track record matter more than credentials here.
• A Continuous Discovery practice (Teresa Torres-style). You can run your own customer interviews and extract opportunity signal, not just consume research reports someone else produced.
• B2B enterprise SaaS background, especially in HR tech, talent, workforce, and behavioral assessments platforms.
• Prompt engineering fluency. You can prototype and evaluate AI behavior yourself, not just describe what you want to an engineer.

Benefits

Full access to PI’s benefits package, including unlimited PTO and 401(k).

Pay

$180,000 - $215,000

Schedule

Exempt, salaried position.