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Abridge Posted 30+ days ago

Member of Product Staff, Foundation Models & Post-Training

Location

SF Office, USA

Hybrid

Contract

Permanent

Full-time

Salary

$250–290k

Gross per year

Experience

7+ years

Lead level

Job summary

Responsibilities

Abridge was founded to power deeper understanding in healthcare. Our ambient AI platform transforms clinical conversations into high-quality documentation and is expanding into clinical workflows such as coding, clinical decision support, and care navigation.

  • Set the product strategy for Abridge's model family. Translate company and product priorities into a coherent portfolio of models, with explicit choices across capability…
  • Own the path from research to product impact. Define the hypotheses, milestones, decision gates, and success metrics that move models from experiments into shadow mode and…
  • Turn proprietary data into a product advantage. Shape how Abridge uses de-identified conversations, final notes, clinician edits, EHR context, and care actions as training and…
  • Make model investment decisions legible. Build clear frameworks for when to use a frontier model, an open model, a prompted workflow, or an Abridge-trained model; quantify…
  • Partner with Evals on promotion criteria. Define the product-relevant capabilities and failure modes that matter for each model use case, while the Evals team owns shared…

What they're looking for

  • 7+ years of product-management or closely related experience, including substantial ownership of ML-powered products, model platforms, or AI infrastructure.
  • A track record of turning ambiguous technical capabilities into shipped products and measurable user or business outcomes.
  • Strong working knowledge of the modern model-development lifecycle, including data strategy, fine-tuning and preference optimization, evaluation, inference, experimentation, and…
  • The technical judgment to reason with ML scientists and engineers about training objectives, reward design, data quality, model selection, scaling, latency, and serving cost -…
  • Strong product judgment about where proprietary models create durable differentiation versus where external models or conventional systems are the better choice.

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