Sr. Product Manager

About AKASA

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.

This is the most exciting time to join AKASA. Revenue bookings for our new AI-native product suite have grown over 20x since launching in 2024. In this time, we have broken our record for the largest deal in company history three times consecutively. This growth is driven by the massive improvement we are generating for our customers across clinical quality and documentation accuracy, both top priority areas for health system leaders.

Our deployments have been recognized nationally as "one of the most comprehensive real-world uses of GenAI in healthcare finance to date". Our customer base represents more than $120B+ in net patient revenue and includes the most innovative health systems in the country, like Cleveland Clinic, Duke, Stanford, and Johns Hopkins.

Some of our most recent recognitions include being named the #1 most promising healthcare RCM startup of 2025 by Black Book Market Research and one of the fastest-growing GenAI startups to watch by AIM Research. Our CEO was ranked among the “Top 50 Healthcare Technology CEOs” by the Healthcare Technology Report, and we have been certified as a “Great Place to Work” for the past five years in a row, just to name a few.

We’re building on this momentum to redefine what’s possible in healthcare. We’re looking for exceptional people to help us accelerate that reality.

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, who you can partner closely with to ensure products are deeply grounded in real-world user needs.

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.

Strategize.

• Generate ideas for new products we might bring to market 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 on product areas (expert interviews, research etc.).
• Deve…