Senior Product Manager - AI-Driven Healthcare

AKASA

South San Francisco (CA)

On-site

USD 185,000 - 240,000

Full time

14 days+

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Benefits offered by this job

Flexible PTO
Health, dental, vision
HSA contributions
Parental leave
Life insurance
Home office stipend
Cell phone/internet reimbursement
Company-paid holidays
401(K) plan

Job summary

AKASA, a leading AI-powered healthcare technology company, is hiring a Senior Product Manager to own a flagship Clinical Documentation and Medical Coding product. You will partner with engineering, ML, design, finance, and GTM to shape and launch AI-native solutions that improve documentation quality and financial integrity for health systems.

You will collaborate with design partners from major health systems, leveraging internal models and data insights to drive measurable value and patient

Qualifications

  • 5+ years of product management experience in software enterprises or startups.
  • Ability to operate in highly complex and ambiguous business environments.
  • Strong educational attainments through undergraduate or graduate level.
  • Effective verbal and written communication for internal and external audiences.

Responsibilities

  • Strategize: generate ideas for new products or features with customers and experts.
  • Execute: lead R&D and work with engineering leadership to deliver products.
  • Align: prepare presentations for executives and customers; engage with stakeholders.

Skills

Communication
Product management
Ambiguity navigation
AI/ML product experience
Healthcare experience
Revenue cycle experience

Education

Bachelor's degree or higher

Job description

AKASA, a leading AI-powered healthcare technology company, is hiring a Senior Product Manager to own a flagship Clinical Documentation and Medical Coding product. You will partner with engineering, ML, design, finance, and GTM to shape and launch AI-native solutions that improve documentation quality and financial integrity for health systems.

You will collaborate with design partners from major health systems, leveraging internal models and data insights to drive measurable value and patient

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