Lead Technology Product Manager (AI Quality & Evaluation)

TL;DR

Lead Technology Product Manager, AI Quality & Evaluation (AI/Healthcare): 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 measurable product requirements, launch-readiness criteria, and post-launch signals that support customer trust and responsible AI.

Location: Hybrid role based in Chicago, Illinois, USA; in-person interviews and onsite attendance at a hirify.global office may be required.

Salary: $118,300–$207,400 USD base salary, plus bonus eligibility.

Company

hirify.global provides professional information, software, and services, including healthcare decision-support products through its UpToDate suite.

What you will do

• Translate expert-defined AI quality standards and evaluation methods into product requirements, workflows, and roadmap priorities.
• Drive discovery and delivery of tooling, automation, monitoring, evidence capture, and reporting capabilities.
• Define workflows for human 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 practices, evidence, and responsible technology decisions to 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 experience with metrics, dashboards, workflows, decision criteria, quality, trust, and evidence.
• Curiosity and learning agility around AI, evaluation methods, responsible AI, and emerging technologies.

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.
• Experience in regulated healthcare environments or professional-information products.
• Experience creating customer-facing narratives around product quality, trust, or responsible technology.

Culture & Benefits

• Hybrid work environment with collaboration across clinical, technical, data, legal, compliance, and customer-facing functions.
• Medical, dental, and vision plans.
• 401(k), FSA/HSA, and commuter benefits.
• Tuition assistance, vacation and sick time, and paid parental leave.
• Bonus eligibility for the role.

Hiring process

• Interviews assess individual skills, experience, and communication without AI tools or external prompts.
• In-person interviews may be included, and candidates may be required to appear onsite at a hirify.global office.