Technical Product Manager (AI/ML Research)
Aledade
Job Summary
As a Technical Product Manager focused on AI Research, you will oversee the development and deployment of innovative AI experiments and products to meet strategic objectives. You will collaborate with data scientists, researchers, engineers, and stakeholders to align AI initiatives with business goals and deliver customer value. This role serves as the bridge between business owners and AI Researchers, ensuring the creation of high-quality, scalable AI solutions. Key duties include partnering with the AI Research team to define a shared vision and priorities, optimizing live user workflows, developing deep understanding of requirements, and writing detailed user stories for new research initiatives with measurable outcomes.
Must Have
- 6+ years of product management experience in tech or SaaS
- Experience leading research/innovation projects
- Data-informed solution design
- Understanding of software development lifecycle
- Experience with Agile/Scrum teams
Good to Have
- Background in Healthcare data/processes
- Experience with Generative AI and Machine Learning
- Excellent leadership skills
- Complex data query and analysis skills
- Building secure/scalable data integration pipelines
- Launched and scaled AI products
- Experience with EHR or physician-facing products
- Stakeholder management up to executive level
Perks & Benefits
- Flexible work schedules
- Remote work capability
- Health, dental, and vision insurance (80% paid)
- 21 days PTO in first year
- 2 paid volunteer days
- 11 paid holidays
- 12 weeks paid parental leave
- 6 weeks paid sabbatical after 6 years
- Educational Assistant Program
- Clinical Employee Reimbursement Program
- 401(k) with 4% match
- Stock options
Job Description
Primary Duties:
- Partner with the AI Research team to cultivate a shared vision for the problem space, constraints, priorities and ideal end state, and be able to articulate and advocate for this perspective.
- Ongoing optimization of live user workflows and capabilities including monitoring of key metrics & user feedback, in collaboration with clinical, product, and business stakeholders.
- Work with internal teams and end users to develop a deep understanding of requirements, perform thoughtful solution design, use data to test hypotheses, and support teams throughout execution.
- Write detailed user stories for new research initiatives and capabilities, capturing detailed descriptions of business rationale, requirements, and success criteria that are defined by measurable outcomes.
- Develop short- and long-term roadmaps that deliver maximum value with minimum risk and assume ongoing iteration.
Minimum Qualifications:
- 6+ years of product management experience in technology, technology-enabled services industry, or a SaaS product.
- Experience leading the development of research, innovation, or incubation-stage projects.
- Experience using data and primary research to inform solution design and build internal business understanding.
- Experience with and understanding of the software development lifecycle and software development methodologies. Preferably experience with Agile / Scrum teams.
Preferred Knowledge, Skills and/or Abilities:
- The ideal candidate will have a strong background in Healthcare data/processes as well as Generative AI and Machine Learning; experience in product management; and excellent leadership skills.
- Demonstrated ability to independently execute complex queries and comparative analyses against relational databases, using the insights to inform product recommendations and decisions.
- Working knowledge of building secure and scalable data integration pipelines, including experience connecting to various healthcare data sources via APIs, databases, and other data exchange mechanisms.
- Successfully launched and scaled an analytical or AI product, ideally in healthcare.
- Experience working with EHR, physician-facing, or population health products and datasets.
- Comfort managing a broad set of stakeholders up through the executive level.
Who We Are: