Principal Product Manager (AI)

What You'll Do

• Own strategy and roadmap for an AI-first product.
• Balance short-term wins (human-assisted tools) with long-term bets (autonomous AI agents).
• Shadow revenue specialists, billers, and dental office managers to understand workflows end-to-end.
• Translate tribal knowledge from 10+ year industry veterans into structured product workflows and context for AI.
• Be on the forefront of AI design patterns.
• Help us build new agentic workflows, human-in-the-loop UX patterns, AI-to-human escalation paths, and audit trails.
• Define gradual autonomy models: when should AI act autonomously vs. escalate to humans.

What We're Looking For

• 8+ years as a Product Manager, with at least 3 years working on AI/ML products.
• You're already shipping AI products.
• You've built things with LLMs and agent frameworks, you've felt the pain of eval infra and prompt regressions, and you have strong opinions on the mechanics of how we build.
• You leverage AI across the entire stack of the job: drafting and pressure-testing strategy, running synthetic user research, building evals before specs, prototyping flows in code, and shipping PRs when it's faster than writing them up.
• You treat AI like a co-worker you're constantly delegating to and learning from.
• You've built pure agentic or human-in-the-loop systems before.
• You can make tradeoffs between "AI decides, AI performs," "AI suggests, human approves," "AI acts, human audits," or even "AI skipped, human only."

Qualifications

• 8+ years as a Product Manager, with at least 3 years working on AI/ML products.
• You're already shipping AI products.
• You've built things with LLMs and agent frameworks, you've felt the pain of eval infra and prompt regressions, and you have strong opinions on the mechanics of how we build.
• You leverage AI across the entire stack of the job: drafting and pressure-testing strategy, running synthetic user research, building evals before specs, prototyping flows in code, and shipping PRs when it's faster than writing them up.
• You treat AI like a co-worker you're constantly delegating to and learning from.
• You've built pure agentic or human-in-the-loop systems before.
• You can make tradeoffs between "AI decides, AI performs," "AI suggests, human approves," "AI acts, human audits," or even "AI skipped, human only."

Benefits

• Wisdom is an equal opportunity employer.
• We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected status in accordance with applicable law.