Senior Product Manager, Applied AI

San Francisco, US · New York, US
Hybrid
Posted 4 weeks ago

About this role

About [REDACTED]

Healthcare operations have always depended on people to bridge the gaps that technology couldn't. It relies on complex manual work to carry out critical internal processes, yet most health systems don’t have enough resources to properly automate these tasks, leaving them stuck in outdated, labor-intensive SOPs.

[REDACTED] structures the chaos, automates the manual handoffs, and deploys end-to-end workflows across every system, providing the integrated intelligence layer to improve processes over time. By delegating to autonomous AI systems those mission-critical workflows that previously expended valuable human time, [REDACTED] allows doctors and administrators to do what they do best: Focus on Patients.

We've raised $60M in funding, including our recent Series B led by [REDACTED] (formerly [REDACTED]), with participation from healthcare-focused [REDACTED] and continued support from [REDACTED] and [REDACTED]. We're backed by some of the best investors in Silicon Valley, including [REDACTED] (Chief Product Officer at [REDACTED]), [REDACTED] (co-founder of [REDACTED]), [REDACTED] (former VP Global Media, [REDACTED]), and CEOs of companies such as [REDACTED], [REDACTED], [REDACTED], [REDACTED], and [REDACTED].

Our team is in-office 4 days a week (Monday - Friday, Wednesday optional WFH) in either San Francisco, California or New York, New York.

About the role

As a Product Manager working on AI systems, you will play a foundational role in directing research, experimentation and rapid improvement of AI systems towards building a capable, reliable AI automation platform. The platform is used by organizations worldwide to deploy and scale executable AI automations in mission critical production environments. You will own the Intelligence and Applied AI product area, which means deciding what the team measures, how fast it can test an idea, and which model capabilities graduate from a promising result into something customers depend on every day. You are expected to have a strong proficiency in fundamentals of product management, a willingness to pick up new concepts as needed and an ability to drive technical projects in ambitious environments.

What You'll Do

  • Define which internal AI benchmarks the team optimizes toward and which customer outcomes those benchmarks predict
  • Partner on evaluation frameworks to accelerate the speed and direction of experimentation
  • Decide which model improvements become shipped platform capability and which experiments to stop early
  • Set the bar for accuracy, generalization and failure behavior for automations running in production
  • Collaborate and contribute on the core product development to deliver higher platform capabilities
  • Work with engineering on observability and monitoring systems to safety check model behavior in critical settings
  • Establish how the team operates while working through early-stage questions that don't have obvious answers yet
  • Enable sales and customer success to speak accurately about what the AI does and does not do

What We're Looking For

  • Proven track record of shipping AI or ML powered products in challenging projects
  • At least 5 years of product management experience, including 0 to 1 work
  • Fluency in how models are evaluated, where they fail, and what changes between a demo and a production deployment
  • Comfort using evals, benchmarks and model performance data as primary decision inputs
  • Solid fundamentals in system design and technical trade-offs, with the ability to write specifications for technical and non-technical audiences
  • Attention to detail and a first-principles thinking towards real world deployment of intelligent systems
  • Founder and ownership mindset, with experience taking products from ideation through launch and scale

Benefits & Perks

Hybrid work

Recommended Skills for this Position

Ethical AI Design
Data-Driven Design
Design Metrics and KPIs
Feature Prioritization
Cross-Functional Collaboration
Stakeholder Communication and Influence
Systems Thinking
Iterative Design
Quantitative Research Methods

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