Technical Product Manager - AI Platform, Remote

1 month 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 short- and long-term roadmaps for the AI Platform that balance maximum value with minimum risk and support ongoing iteration.
  • Partner with business owners and internal stakeholders to cultivate and advocate a shared vision for problem spaces, constraints, priorities, and ideal end states.
  • Lead the full lifecycle of ML and LLM platform workstreams, including data ingestion, model training, deployment, and ongoing optimization of live user workflows.
  • Collaborate with AI engineers, data scientists, AI researchers, and clinical leadership to mature proofs-of-concept into production-ready capabilities.
  • Design and own production-grade systems and reliable inference pipelines that operate across millions of patient records.
  • Work with internal teams and end users to gather requirements, perform solution design, write detailed user stories, and define measurable success criteria.
  • Use data and primary research to test hypotheses, validate model performance from user feedback and validation data, and inform product decisions.
  • Communicate technical trade-offs and translate ambiguous product requirements into executable technical roadmaps and development plans.

Requirements

  • 6+ 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 (SDLC).
  • Knowledge of APIs, DevOps, enterprise software development, and cloud infrastructure (examples: Databricks, AWS, GCP, Azure).
  • Understanding of data engineering principles and experience working with data pipelines and large datasets.
  • Ability to communicate technical trade-offs to non-technical stakeholders and translate ambiguous requirements into a technical roadmap.
  • Preferred: experience leading and scaling AI/ML platform products, tools, or internal services and a track record of launching AI/ML platforms.
  • Preferred: deep knowledge of AI/ML product lifecycle, MLOps, scalable AI infrastructure (training, deployment, monitoring, observability, reliability), and experience with LLMs, generative AI, prompt engineering, or VLMs.
  • Preferred: background as a data scientist or backend engineer and clinical data literacy (familiarity with EHR data, Claims, or population health datasets); experience in healthcare technology or physician-facing products is desirable.

Benefits

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

Interested in this position?

Apply directly on the company website

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