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Principal Technical Product Manager - AI Platform, Remote

1 hour, 34 minutes ago
United States
Full-time
Lead
Technical Product Manager
Artificial Intelligence and Machine Learning
Agile AWS Azure Databricks GCP Generative AI JIRA LLM Machine Learning MLOps
Apply Now
Aledade

Aledade

Aledade collaborates with independent practices, health centers, and clinics to establish and manage Accountable Care Organizations (ACOs) that prioritize primary care, enabling physicians to enhance patient care while maintaining their independence in...

Health Care Providers & Services
1K-5K
Founded 2014
$686M raised
View All Jobs 64

Description

  • Cultivate a shared vision with product, engineering, and other teams around problem space, constraints, priorities, and the desired end state.
  • Lead the full lifecycle of ML and LLM platform workstreams, from data ingestion and training through deployment and ongoing optimization.
  • Work with internal teams and end users to understand requirements, design solutions, and use data to test hypotheses.
  • Write detailed user stories that capture business rationale, requirements, and measurable success criteria.
  • Develop short- and long-term roadmaps that maximize value while minimizing risk and allowing for ongoing iteration.
  • Partner with AI researchers to turn proofs of concept into production-ready capabilities.
  • Explore user feedback, healthcare records, and validation data to assess and validate model performance.
  • Support execution across teams and articulate technical tradeoffs to both technical and non-technical stakeholders.

Requirements

  • 12+ years of product management experience in technology, technology-enabled services, or SaaS.
  • Strong understanding of AI and/or machine learning and related technologies.
  • Experience using data and primary research to inform solution design and business understanding.
  • Experience working with Agile teams, Jira, and the software development lifecycle.
  • Strong understanding of APIs, DevOps, enterprise software development, cloud infrastructure (Databricks/AWS/GCP/Azure), and data engineering principles.
  • Exceptional ability to communicate technical tradeoffs to non-technical stakeholders.
  • Comfort with translating ambiguous product requirements into a technical roadmap.
  • Experience working on or leading AI/ML platform products is preferred.
  • Proven track record of building and launching AI/ML platforms, tools, or internal services is preferred.
  • Deep understanding of the AI/ML product lifecycle, MLOps, and scalable AI infrastructure, including model training, deployment, monitoring, observability, and reliability, is preferred.
  • Experience with LLMs and generative AI technologies, including prompt engineering strategies and VLMs, is preferred.
  • Experience as a data scientist or backend engineer is preferred.
  • Healthcare technology experience, including physician-facing products or clinical datasets such as EHR, claims, or population health data, is preferred.

Benefits

  • Flexible work schedules and the ability to work remotely for many roles.
  • Health, dental, and vision insurance paid up to 80% for employees, dependents, and domestic partners.
  • Robust time-off plan with 21 days of PTO in the first year.
  • Two paid volunteer days and 11 paid holidays.
  • 12 weeks of paid parental leave for all new parents.
  • Six weeks of paid sabbatical after six years of service.
  • Educational Assistant Program and Clinical Employee Reimbursement Program.
  • 401(k) with up to 4% match and stock options.

Interested in this position?

Apply directly on the company website

Apply Now

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