Lead Technology Product Manager, AI Quality & Evaluation

wk; United States; Remote; USD 120,000 - 190,000; Full time

Job summary

wk is seeking a Product Manager focused on translating expert-defined quality standards into product capabilities for AI-enabled healthcare experiences. You will shape workflows, tooling, automation, monitoring, and reporting to enable teams to assess quality before launch and continuously improve products post-launch.

Responsibilities include defining requirements and roadmaps, leading evaluation tool development, and collaborating with clinical, data, engineering, and compliance teams to scale

Qualifications

• Five+ years of product management experience in healthcare, enterprise software, data products, platforms, quality, or a related field.
• Strong product discovery and delivery skills, including requirements, roadmaps, experimentation, and metrics-based decisions.
• Ability to turn complex clinical, technical, quality, or risk concepts into practical requirements and workflows.
• Experience working across technical and nontechnical groups, such as engineering, data, clinical, compliance, operations, or customer teams.
• Analytical skills for defining measures, dashboards, workflows, and decision criteria.
• Clear communication about quality, trust, evidence, tradeoffs, and customer value.

Responsibilities

• Translate quality standards and evaluation approaches into product requirements, workflows, and roadmap priorities.
• Lead discovery and delivery for evaluation tools, automation, monitoring, evidence capture, and reporting.
• Work with clinical, data, engineering, product, legal, compliance, and customer-facing teams to put evaluation into practice.
• Define workflows for expert review, issue triage, launch readiness, ongoing monitoring, and quality reporting.
• Find ways to scale evaluation while retaining suitable expert oversight.
• Use evaluation results to guide improvements to product experience, content, model behavior, and operations.
• Explain quality signals, evidence, and tradeoffs clearly to product leaders and customer-facing teams.

Skills

Product PM experience

Discovery & delivery

Requirements derivation

Cross-functional work

Analytics & dashboards

Quality communication

Job description

Role overview

Turn expert-defined quality standards and evaluation methods into product capabilities for AI-enabled healthcare experiences. The role focuses on the workflows, tools, automation, monitoring, and reporting that let teams assess quality before launch and continue improving products afterward; it does not set the underlying clinical standards or statistical methods.

Responsibilities

• Translate quality standards and evaluation approaches into product requirements, workflows, and roadmap priorities.
• Lead discovery and delivery for evaluation tools, automation, monitoring, evidence capture, and reporting.
• Work with clinical, data, engineering, product, legal, compliance, and customer-facing teams to put evaluation into practice.
• Define workflows for expert review, issue triage, launch readiness, ongoing monitoring, and quality reporting.
• Find ways to scale evaluation while retaining suitable expert oversight.
• Use evaluation results to guide improvements to product experience, content, model behavior, and operations.
• Explain quality signals, evidence, and tradeoffs clearly to product leaders and customer-facing teams.

Requirements

• At least five years of product management experience in healthcare, enterprise software, data products, platforms, quality, or a related field.
• Strong product discovery and delivery skills, including requirements, roadmaps, experimentation, and metrics-based decisions.
• Ability to turn complex clinical, technical, quality, or risk concepts into practical requirements and workflows.
• Experience working across technical and nontechnical groups, such as engineering, data, clinical, compliance, operations, or customer teams.
• Analytical skills for defining measures, dashboards, workflows, and decision criteria.
• Clear communication about quality, trust, evidence, tradeoffs, and customer value.

Nice to have

• Experience with AI-enabled products, healthcare technology, quality or content tooling, search quality, clinical validation, or decision support.
• Familiarity with evaluation methods, benchmarks, monitoring, human review, automation, or applied machine learning.
• Background in regulated settings or clinical workflows, or experience explaining product quality and responsible technology to customers.