Product Lead – ML Quality & Evals Platform

Abridge; San Francisco (CA); On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Generous time off

Comprehensive health plans

401(k) matching

Parental leave

Job summary

Abridge is hiring a Product Manager to lead the evals platform, collaborating with engineering, ML, data science, and clinician science teams. You will help define how AI quality is measured, what the platform builds, and how to make evaluating new models fast and reliable.

This role drives cross-functional execution across multiple pods and ensures high standards of quality and speed. You will partner with Data Engineering, Data Science, Clinical Science, and the agent platform team to deliver

Qualifications

• 5+ years in product management with ML powered products or platform systems.
• Experience designing evaluation frameworks and benchmarks for models.
• Strong fluency in ML data pipelines and distributed systems.

Responsibilities

• Drive product strategy and execution for the evals platform across the lifecycle.
• Build measurement infrastructure and standards for model evaluation.
• Create fast, repeatable model evaluation processes for frontier and specialty models.
• Define gates and operating model across pods and teams.
• Collaborate with Data Engineering, Data Science, Clinical Science, and agent platform teams.
• Maintain a high bar for quality, speed, and accountability.

Skills

Product management

ML platforms

Model evaluation

Data pipelines

Distributed systems

Communication

Tools

Python

SQL

ML frameworks

Job description

Abridge is hiring a Product Manager to lead the evals platform, collaborating with engineering, ML, data science, and clinician science teams. You will help define how AI quality is measured, what the platform builds, and how to make evaluating new models fast and reliable.

This role drives cross-functional execution across multiple pods and ensures high standards of quality and speed. You will partner with Data Engineering, Data Science, Clinical Science, and the agent platform team to deliver