7 часов назад
Lead Technology Product Manager (AI)
118 300 - 207 400$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Technology Product Manager, AI Quality & Evaluation (AI): Building scalable product capabilities for evaluating, monitoring, and improving AI-enabled healthcare experiences with an accent on quality workflows, automation, evidence capture, and reporting. Focus on translating clinical and technical standards into product requirements, launch-readiness criteria, measurable quality signals, and responsible AI practices.
Location: Hybrid role based in Chicago, Illinois, United States. Candidates may be required to appear onsite at a office during the interview process.
Salary: $118,300–$207,400 USD annually, plus eligibility for a bonus.
Company
Health provides professional healthcare information through the UpToDate suite, which supports clinical decision-making.
What you will do
- Translate expert-defined clinical quality standards and evaluation methods into product requirements, workflows, and roadmap priorities.
- Drive discovery and delivery of AI quality capabilities, including tooling, automation, monitoring, evidence capture, and reporting.
- Define workflows for review, issue triage, launch readiness, post-launch monitoring, and quality reporting.
- Partner with clinical, data science, engineering, product, legal, compliance, and customer-facing stakeholders.
- Use evaluation insights to improve product quality, user experience, content quality, model behavior, and operational processes.
- Communicate AI quality, evaluation, trust, and responsible technology practices to product leaders and stakeholders.
Requirements
- 5+ years of product management experience in healthcare, enterprise SaaS, data-driven products, platform products, quality, or related areas.
- Strong product discovery and execution skills, including requirements definition, roadmap planning, experimentation, and metrics-driven decisions.
- Ability to translate complex clinical, technical, quality, or risk concepts into practical product requirements and workflows.
- Experience collaborating with engineering, data, clinical, compliance, customer-facing, or operational stakeholders.
- Strong analytical and communication skills, including defining metrics, dashboards, workflows, decision criteria, and quality narratives.
Nice to have
- Experience with AI-enabled products, healthcare technology, quality tooling, data products, search or retrieval quality, clinical validation, or decision-support products.
- Familiarity with AI evaluation methods, benchmarks, monitoring, human-in-the-loop review, automation, or applied machine learning concepts.
- Experience in regulated healthcare environments or professional-information products.
- Experience supporting customer-facing narratives about product quality, trust, or responsible technology.
Culture & Benefits
- Hybrid work environment with potential onsite participation in the hiring process.
- Medical, dental, and vision plans.
- 401(k), FSA/HSA, and commuter benefits.
- Tuition assistance, vacation and sick time, and paid parental leave.
- Bonus eligibility.
Hiring process
- Interviews are conducted without AI tools or external prompts and may include in-person interviews.
- Applicants may be required to appear onsite at a office.
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