Senior Technical Product Manager - AI Platform, Remote

1 day, 3 hours ago
Full-time
Senior
Artificial Intelligence and Machine Learning
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

Description

  • Define and deliver the roadmap for the AI Platform to support internal stakeholders and external AI products.
  • Lead the full lifecycle of ML and LLM platform workstreams, from data ingestion and training through deployment and ongoing optimization.
  • Partner with business owners to align on problem framing, constraints, priorities, and desired outcomes.
  • Work with internal teams and end users to understand requirements, design solutions, and support execution.
  • Write detailed user stories that capture business rationale, requirements, and measurable success criteria.
  • Develop short- and long-term roadmaps that balance value delivery, risk, and iteration.
  • Partner with AI Researchers to turn proofs of concept into production-ready capabilities.
  • Use performance metrics, feedback, healthcare records, and validation data to evaluate and improve model performance.
  • Collaborate with AI engineers, data scientists, and clinical leadership on production-grade systems and reliable inference pipelines.
  • Contribute to improving quality and cost of care for more than 2 million patients served by Aledade providers.

Requirements

  • 8+ years of product management experience in technology, technology-enabled services, or SaaS.
  • Strong understanding of artificial intelligence and/or machine learning technologies.
  • Experience using data and primary research to inform solution design and build business understanding.
  • Familiarity with Agile teams, Jira, and the software development lifecycle.
  • Knowledge of APIs, DevOps, enterprise software development, and cloud infrastructure such as Databricks, AWS, GCP, or Azure.
  • Understanding of data engineering principles.
  • Ability to communicate technical trade-offs to non-technical stakeholders.
  • Skilled at translating ambiguous product requirements into a technical roadmap.
  • Preferred: Experience leading AI/ML platform products and scaling platforms vertically and horizontally.
  • Preferred: Track record of building and launching AI/ML platforms, tools, or internal services.
  • Preferred: Deep knowledge of AI/ML product lifecycle, MLOps, and scalable AI infrastructure including training, deployment, monitoring, observability, and reliability.
  • Preferred: Experience with large language models, generative AI technologies, prompt engineering strategies, and VLMs.
  • Preferred: Background as a data scientist or backend engineer.
  • Preferred: Fluency in translating technical concepts into value propositions and storytelling for diverse stakeholders.
  • Preferred: Familiarity with EHR data, Claims, or population health datasets.
  • Preferred: Experience in healthcare technology environments, especially physician-facing products or clinical datasets.
  • Physical requirements: Sitting for prolonged periods, extensive computer and keyboard use, and occasional walking and lifting.

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

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