Sr. Product Manager

At AKASA, our mission is to build the future of healthcare with AI. As the leading provider of generative AI solutions for the healthcare revenue cycle, we help health systems comprehensively capture and communicate the full patient clinical journey. By empowering health systems to streamline their operations, they can focus on what matters most - delivering quality patient care. We have raised over $205M in funding from investors such as Andreessen Horowitz, BOND, and Costanoa Ventures.

About the Role

As a Senior Product Manager, you’ll own one of AKASA’s flagship products in our Clinical Documentation and Medical Coding suite. This product suite improves the quality of physician documentation, helps clinicians identify missing diagnoses, converts documentation to medical codes, and ensures financial integrity for health systems. These products help thousands of clinicians and revenue cycle staff tackle some of the most challenging and high-impact patient encounters in U.S. healthcare.

You’ll be in a high-leverage role in a uniquely scaled organization: a small, elite group of PMs partnered with a substantial, world-class engineering and ML team. Together, you’ll work on truly AI-native products that deliver hundreds of millions of dollars in measurable value for our customers. You’ll collaborate closely across multiple functions—engineering, machine learning, design, finance, and go-to-market—to shape, build, and launch AI-native products.

Your key partners include:

• Customer Design Partners – Leaders and frontline staff from some of the most prominent health systems in the world (e.g., Cleveland Clinic), collaborating with us as design partners for rapid testing and deployment. This article describes one of our most recent deployments.
• Engineering & ML – An extraordinary internal team that doesn’t just apply third-party LLM APIs but trains net-new models in-house to achieve breakthrough performance beyond what’s possible off the shelf. Our ML researchers regularly write about their cutting-edge work (link 1, link 2).
• Internal Domain SMEs – AKASA team members who are industry-leading experts in their domain, partnering closely with you to ensure products are deeply grounded in real-world user needs (link).

This is an opportunity to define how AI truly reshapes healthcare operations, building products that are not only technically exceptional but meaningfully improve how we capture the complete patient clinical journey.

Responsibilities

• Strategize.
  • Generate ideas for new products or strategic features to add to existing products, working with customers, prospects, marketing, and industry experts.
  • Evaluate and recommend new product ideas by attractiveness (economics, feasibility, etc.).
  • Develop deep knowledge of product areas (expert interviews, research, etc.).
  • Develop roadmaps, product requirement documents, and plans to align resources and act on new product ideas.
• Execute.
  • Lead R&D resources to execute on new product ideas, working closely with engineering leaders in particular.
  • Provide product leadership to implementation teams implementing products.
  • Own the performance of the products in the market, working closely with supporting cross-functional teams.
  • Develop supporting product materials in collaboration with internal teams like marketing and implementation.
• Align.
  • Prepare impactful presentations for internal and external communications.
  • Interact frequently with executive and functional leaders in strategizing and executing on product initiatives.
  • Present to, converse with, and learn from prospects and customers.

Requirements

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

Skills

• Acting with urgency and conviction
• Product taste
• Intellectual vitality
• Grit
• Coachability and professionalism

Preferred: previous Artificial Intelligence and Machine Learning product experience, previous healthcare experience, previous revenue cycle experience.

Benefits

• Flexible paid time off (PTO)
• Expansive coverage for health, dental, and vision
• Employer contribution to Health Savings Accounts (HSA)
• Generous parental leave policy
• Full employee coverage for life insurance
• Home office stipend
• Cell phone/internet reimbursement
• Company-paid holidays
• 401(K) plan

Pay

Based on market data and other factors, the salary range for this position is $185,000 - $240,000 + Equity. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.