Abridge
Vertical AI · Medical AI scribing
- HQ
- Pittsburgh, US
- Founded
- 2018
- Website
- abridge.com
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).
Vertical AI · Medical AI scribing
| Title | Stage | AI score |
|---|---|---|
| Senior Manager, Data Science This role is for a Senior Manager of Data Science at Abridge, a healthcare AI company. The manager will build and lead a data science team, implement data strategy, and drive product strategy using data-driven insights. Key responsibilities include team management, fostering culture, driving product strategy through analysis, partnering with product/strategy/research teams, collaborating on model evaluation, communicating insights, structuring data strategy with Data Engineering, making technical infrastructure decisions, and leveraging AI for data ingestion and insight generation. The role requires an MS/PhD in a quantitative field, 12+ years of experience, strong Python/R/SQL skills, experience building data capabilities, and data visualization tool proficiency. Healthcare experience is a bonus. | Ship | 7 |
| 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 |
| Staff Software Engineer Software Engineer role focused on building and supporting AI-powered web applications and backends in the healthcare domain. The role involves designing, building, and scaling cloud-based services, making technology decisions, and enhancing existing systems. A key aspect is the use of AI tooling in the daily workflow and experience with regulated environments. | Ship | 5 |
| 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 |
| Senior Software Engineer Software Engineer role focused on building and supporting AI-powered web applications and backend services for a healthcare company. The role involves making architectural decisions, recommending technologies, and ensuring systems scale reliably and securely. Engineers will ship AI-powered features and use AI tooling in their daily workflow. | Ship | 5 |