Technical Product Manager

Job Summary

Required Qualifications

• •Demonstrated ability to prioritize competing initiatives, manage ambiguity, and deliver measurable outcomes in a complex, cross-functional environment
• •Experience standing up a complex product, shepherding it from development to implementation, and maintaining product integrity through its lifecycle
• •Strong analytical skills, with the ability to interpret performance data and translate insights into roadmap decisions
• •Proficient with coding languages like Python and SQL, with the ability to query data, review scripts, and collaborate effectively with data and engineering teams
• •Proven ability to execute in real time when plans go sideways: calm under pressure, quick to adjust, and accountable for outcomes regardless of cause
• •Excellent written and verbal communication skills, including the ability to present trade-offs, risks, and recommendations to senior leadership
• •Bachelor's degree in a relevant field, or equivalent professional experience
• •Experience in environments where decisions must be documented and defensible to outside scrutiny: audits, accreditation reviews, peer review, oversight bodies, or board-level reporting
• •Experience with agile delivery frameworks in a healthcare setting
• •Working knowledge of healthcare regulations and frameworks, including HIPAA, CMS, and state-level compliance requirements
• •Strong understanding of healthcare operations, particularly in areas like care management, quality measurement (HEDIS/Stars), or call center operations
• •Background that demonstrates iteration as a discipline: refining the same work over multiple cycles (seasons, cohorts, program years, product releases) and treating repetition as a tool for improvement
• •History of applying the qualifications from the previous section in a clinical setting
• •Experience building, deploying, or managing conversational AI, voice AI, or LLM-powered products, ideally in a regulated industry
• •Familiarity with AWS-based development tools and Atlassian-based (Jira and Confluence) productivity tools
• •Background working closely with data science and ML engineering teams on model performance, evaluation, and iteration
• •Must be able to lift 50 lbs

Desired Qualifications

• •Background that demonstrates iteration as a discipline: refining the same work over multiple cycles (seasons, cohorts, program years, product releases) and treating repetition as a tool for improvement
• •History of applying the qualifications from the previous section in a clinical setting
• •Experience building, deploying, or managing conversational AI, voice AI, or LLM-powered products, ideally in a regulated industry
• •Familiarity with AWS-based development tools and Atlassian-based (Jira and Confluence) productivity tools
• •Working knowledge of healthcare regulations and frameworks, including HIPAA, CMS, and state-level compliance requirements
• •Experience in environments where decisions must be documented and defensible to outside scrutiny: audits, accreditation reviews, peer review, oversight bodies, or board-level reporting
• •Strong understanding of healthcare operations, particularly in areas like care management, quality measurement (HEDIS/Stars), or call center operations
• •Background working closely with data science and ML engineering teams on model performance, evaluation, and iteration
• •Experience with agile delivery frameworks in a healthcare setting