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Overjet

Lead Product Manager, Agentic

Posted 34 minutes ago
5-10 years experience
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AI Summary

You will own an agent product area end-to-end, defining success criteria, evaluation sets, and the human-in-the-loop experience for enterprise dental insurance workflows. You will collaborate with engineering, ML, and customer success teams to deploy agents that resolve tasks autonomously while maintaining high trust and compliance standards.

Lead the Future of Dentistry. 

Overjet is the world-leader in dental AI. Already, thousands of dental providers and insurers rely on our platform to deliver the best possible care. Now, we’re looking for talented people to fulfill our mission: improve oral health for all.

Overjet is where builders become leaders. Everyone here loves to make new things: new products, new partnerships, new content, and a new category of AI technology. And as Overjet grows ridiculously fast, so will you.

Simply put, there’s no better place to accelerate your career. Come join us!

The Mission and the Hard Part

Dental insurance still runs on people working phones, payer portals, PDFs, and spreadsheets: verifying benefits, chasing claim status, processing coordination of benefits, validating provider data, credentialing dentists. Overjet is replacing that work with agents (voice, browser, and document agents built on a shared platform) that are already running in production for enterprise payers and DSOs. Every agent that works earns a customer’s trust and shrinks their human queue. Every agent that doesn’t lands in a human review queue the next morning, with a customer asking why. The Lead PM decides which jobs an agent should be given, how we know it did them correctly, and when a person steps in.

You’ll own an agent product area end to end, reporting to our Insurance product leader and working daily with Engineering, ML, Customer Success, and Sales. What makes this hard is that there is no established playbook for it. Agent behavior is probabilistic, so the spec is an eval set rather than a PRD. Success is measured in tasks resolved without a human, not features adopted. The customers are regulated enterprises with real SLAs, and the workflows are messy, undocumented, and different at every payer. If turning an operating procedure nobody has written down into an agent that holds up on call number 10,000 sounds like the fun part of the job, keep reading.

What You’ll Own

  • A named agent product area, from problem selection through production, whether that’s claims, provider network management, eligibility and benefits, or payer-provider workflows. That means deciding which jobs agents take over and which stay with people, and cutting the ones that don’t earn their place.

  • The definition of “working” for every agent you ship. That means task-level success criteria, evals, confidence thresholds, and escalation rules, plus reading real transcripts and traces every week instead of trusting a dashboard.

  • The human-in-the-loop experience: review queues, approval gates, and exception handling. That means the people who remain in the workflow see only what needs judgment, and the volume reaching them falls release over release.

  • Customer outcomes in production, from pilot to rollout with payers and DSOs: resolution rate, cost per task, turnaround time, and escalation volume. That means sitting in discovery calls and turning each customer’s real operating procedures into agent instructions and measurable targets.

  • Your agents’ contribution to the shared platform. That means pushing for reusable primitives (voice, browser automation, document parsing, tool access, audit logging, settings, guardrails) instead of one-off builds, so the next agent is mostly configuration.

  • The trust posture that lets a payer’s security and compliance team say yes: AI disclosure, audit trails, data handling, and human oversight designed in from the first spec.

What Makes the Right Candidate Keep Reading

You have shipped software into enterprise customers where a messy, regulated workflow had to work in production, and you have partnered with engineers on backend or data-heavy systems closely enough to argue about architecture. You already work with AI agents every day to prototype, analyze, and write, so you form opinions about where they break from experience rather than from reading about it. This role rewards a high tolerance for ambiguity, high agency, and real curiosity about how the work actually gets done inside a payer’s operations. If you want a stable roadmap, feature-adoption metrics, and a finished playbook to follow, this isn’t the seat. If you’d rather write the playbook for managing agents as a product, it might be exactly right.

  • Education: Bachelor’s degree or equivalent practical experience

  • Skills: Enterprise product discovery; writing success criteria and evals; working fluency in how agents are built (tool use, retrieval, orchestration, human-in-the-loop); comfort querying and interpreting data

  • Experience: 5+ years of product management in B2B SaaS or data-heavy products, ideally at a startup. Experience shipping AI or agent-based products is strongly preferred. Experience in healthcare, insurance, or other regulated workflows is a plus.

Overjet's Values

  • Excellence: Aim Higher

  • Velocity: Quickly Deliver Results

  • Ownership: Go the Extra Mile

  • Win-win: Care Deeply

Company Recognition

EEOC

Overjet is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We believe diversity enriches our team so we hire people with a wide range of identities, backgrounds, and experiences. Even if you don't meet 100% of the qualifications for this job, we strongly encourage you to apply! 

If you are a Colorado resident: Please contact us by emailing recruiting@overjet.ai to receive compensation and benefits information for this role. Please include the job title in the subject line of the email.

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