# Product Manager, Ambulatory Autonomous Coding at Ambience Healthcare

Ambience Healthcare is hiring a Product Manager, Ambulatory Autonomous Coding in San Francisco, United States. It pays $169k-$235k a year and Level rates it Works on AI ●●●○; you can [apply on Ambience Healthcare](https://jobsbylevel.com/go/8d702ed4-fadf-4d87-8c10-0be81c3f46b8?utm_medium=ai-agent).

AI Level 3, AI centrality 66 out of 100. San Francisco.

## Details

- Company: [Ambience Healthcare](https://jobsbylevel.com/companies/ambience-healthcare)
- AI level: AI Level 3 (score 66 out of 100)
- Location: San Francisco
- Salary: $169k-$235k
- Posted: October 23, 2026
- Apply: https://jobsbylevel.com/go/8d702ed4-fadf-4d87-8c10-0be81c3f46b8?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=product-manager-ambulatory-autonomous-coding-at-ambience-healthcare-54e1f7

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## Description

About Us: Here at Ambience, we never set out to be just another scribe. We’re building the AI intelligence platform that restores humanity to healthcare and drives meaningful ROI for health systems across the country. Our technology helps providers focus on delivering great care by removing the administrative burden that pulls them away from patients and away from their most impactful work. Ambience delivers real-time coding-aware documentation and clinical workflow support across ambulatory, emergency and inpatient settings at the top health systems in North America. Our teams operate relentlessly with extreme ownership to build the best solutions for our health system partners. We value candor, positivity and deep thought — and we expect a lot from each other because we know the problems we’re solving truly matter. Ambience was ranked #1 for Improving the Clinician Experience in the KLAS Research Emerging Solutions Top 20 Report, recognized by Fast Company as one of the Next Big Things in Tech, named one of the best AI companies in healthcare by Inc., and selected as a LinkedIn Top Startup in 2024 and 2025. We’re backed by Oak HC/FT, Andreessen Horowitz (a16z), OpenAI Startup Fund, and Kleiner Perkins — and we’re just getting started. The Role As our Product Manager, Ambulatory Autonomous Coding, you'll own Ambience's ambulatory professional coding product, starting with primary care. Your mission is to help clinicians capture the services they provided with accurate, well-supported coding at the point of care, while reducing the manual work required from coding teams. You'll own the product end to end: understanding how clinicians and coding teams work today, deciding which problems to solve first, setting the roadmap, shipping with Engineering and Clinical AI, and measuring results with customers. The initial focus is CPT coding, including E/M levels, add-on codes, modifiers, and procedures. Over time, the goal is to move from coding recommendations to autonomous coding for encounters where accuracy, compliance, and customer workflows support it. Done well, this role helps clinicians capture the full value of the care they deliver and makes accurate, compliant coding something that happens at the point of care, not after the fact. This is a Senior PM role - you'll work closely with engineering, design, Clinical AI/ML, and GTM teams. We're a hybrid company headquartered in San Francisco. This role requires being in the SF office 3x/week. What You'll Own Product Strategy & Workflow Define and execute the ambulatory coding roadmap, starting with primary care and expanding to additional code families and specialties based on customer needs and measurable value. Spend time with clinicians, coders, and revenue-cycle teams to understand how encounters are documented, coded, reviewed, and billed, and use that understanding to decide what we build. Own the clinician and coding-team experience, from recommendations during the visit through review, exception handling, and writeback into Epic's existing charge workflows. Work closely with our ambulatory teams so coding uses the right clinical context without creating more work for clinicians. Coding Quality & Automation Partner with Engineering, Clinical AI, and coding experts to improve accuracy and coverage across the code sets we support. Establish clear evaluations for coding accuracy, completeness of the encounter, supporting documentation, and reliability of Epic writeback. Understand where errors happen and prioritize the ones that matter most. Define when a coding recommendation is ready for human review versus when an encounter can be processed with less manual intervention, validating the approach with customer coding and compliance teams before expanding autonomy. Build a repeatable approach for adding new code families and specialties rather than treating each one as a separate product. Customer Outcomes Drive adoption with clinicians and coding teams. Identify where the

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