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9 часов назад

Lead Product Manager, Agentic (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Lead Product Manager, Agentic (AI): Owns enterprise AI agent products for dental insurance workflows, from selecting operational jobs through production deployment, with an accent on agent evaluation, human-in-the-loop design, and regulated healthcare outcomes. Focus on defining task-level success, analyzing agent traces, building reusable platform primitives, and converting payer procedures into reliable agents with measurable resolution and escalation targets.

Location: San Mateo, CA, United States; hybrid workplace. Geo-hub employees come to the office on Tuesdays and Wednesdays and may work from home the rest of the week.

Company

hirify.global develops dental AI products used by dental providers, insurers, enterprise payers, and dental service organizations to improve oral health and automate insurance workflows.

What you will do

  • Own an agent product area from problem selection through production across claims, provider network management, eligibility and benefits, or payer-provider workflows.
  • Define task-level success criteria, evaluation sets, confidence thresholds, and escalation rules; review real agent transcripts and traces.
  • Design human-in-the-loop review queues, approval gates, and exception handling so people focus on cases requiring judgment.
  • Drive customer outcomes from payer and DSO pilots through rollout, including resolution rate, cost per task, turnaround time, and escalation volume.
  • Translate customer operating procedures into agent instructions and measurable targets while partnering with Engineering, ML, Customer Success, and Sales.
  • Advocate for reusable platform primitives including voice, browser automation, document parsing, tool access, audit logging, settings, and guardrails, while designing AI disclosure, data handling, audit trails, and human oversight.

Requirements

  • Bachelor’s degree or equivalent practical experience.
  • 5+ years of product management experience in B2B SaaS or data-heavy products, with total product management experience explicitly including this background.
  • Experience shipping software into enterprise customers where messy, regulated workflows had to work in production.
  • Enterprise product discovery experience and ability to write success criteria and evaluation sets.
  • Working fluency in how AI agents are built, including tool use, retrieval, orchestration, and human-in-the-loop systems.
  • Comfort querying and interpreting data.
  • Experience partnering closely with engineers on backend or data-heavy systems and discussing architecture.
  • Daily practical use of AI agents for prototyping, analysis, and writing, with a high tolerance for ambiguity and strong ownership.

Nice to have

  • Experience at a startup.
  • Experience shipping AI or agent-based products.
  • Experience in healthcare, insurance, or other regulated workflows.

Culture & Benefits

  • Hybrid workplace combining in-person collaboration with work-from-home flexibility; geo-hub office attendance is Tuesdays and Wednesdays.
  • Competitive compensation and equity.
  • 401(k) with matching, medical, dental, and vision coverage, life and AD+D insurance, and optional HSA with employer contribution.
  • Eight weeks of paid parental leave, flexible time off, and company-paid holidays.
  • Annual learning and development stipend.
  • Values emphasize excellence, velocity, ownership, and win-win collaboration.

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