Abridge currently has 24 active AI-related job listings. The majority of these roles are focused on serving infrastructure, accounting for 33% of the openings, followed by application development at 21% and evaluation at 17%. Engineering is the most frequent function, with 14 roles, and all hiring is concentrated in the United States. The company is frequently seeking candidates with experience in model serving, evals, and llm observability. Over the last 30 days, Abridge has added 6 new AI roles, representing a 20% increase compared to the previous 30-day period.
Currently tracking 13 active AI roles, with 18 new openings in the last 4 weeks. Primary focus: Eval Gate · Product.
Abridge currently has 20 active AI-related roles in our index. The most common open titles are: AI Enablement Program Manager , Clinician Scientist, Data Engineer, Director, Data Science, Director, Product Management - AI/ML, Core Product. Most positions are in Engineering and Product.
Abridge's active AI hiring is concentrated in: serving infrastructure (30%), agents (25%), evaluation (20%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Abridge is hiring AI talent in: United States (20 roles).
Job postings at Abridge most frequently reference: llm observability, evals, model serving, agent orchestration, inference infra.
In the past 30 days, Abridge has posted 4 new AI-related roles. That is a -33% change versus the prior 30 days (6 → 4).
| Title | Stage | AI score |
|---|---|---|
| Director, Data Science Director of Data Science at Abridge, a healthcare AI company. Responsible for building a data team, implementing data strategy, and driving product strategy through data-driven insights. Collaborates with product, engineering, and science teams, and partners with research on model evaluation and quality metrics. Focuses on using AI to accelerate data ingestion and insight generation. | ShipEval Gate | 7 |
| Product Manager - Core Product Experiences Product Manager to own product strategy and execution for a core product area focused on clinical documentation and workflow experiences. The role involves building AI-generated artifacts and workflows that help clinicians, integrating with EHR environments, and driving product outcomes. Requires strong product sense, user empathy, and experience shipping products, preferably in healthcare or with ML/AI-powered products. | Ship | 5 |