Sr Product Manager; AI Platform

Your Future Evolves Here Evolent partners with health plans and providers to achieve better outcomes for people with most complex and costly health conditions. Working across specialties and primary care, we seek to connect the pieces of fragmented health care system and ensure people get the same level of care and compassion we would want for our loved ones. Evolent employees enjoy work/life balance, the flexibility to suit their work to their lives, and autonomy they need to get things done.

We believe that people do their best work when they're supported to live their best lives, and when they feel welcome to bring their whole selves to work. That's one reason why diversity and inclusion are core to our business. Join Evolent for the mission. Stay for the culture. What You’ll Be Doing:

Job Title:

Sr Product Manager (AI Platform) Evolent is building a new AI platform from the ground up, and this role builds it. The architecture is still being shaped, the first capabilities are moving into production now, and the company is backing the platform as a central piece of its strategy with dedicated product, engineering, applied AI, and data science teams and standing visibility to the executive team.

As Sr Product Manager (AI Platform), you will own one of the shared platform work streams that every AI capability across the company is built on, working shoulder-to-shoulder with architects, applied AI engineers, data scientists, and clinical and operations leaders. Come be part of a mission-driven team building a transformational piece of technology to change how Healthcare is delivered!

• Lead the product lifecycle for your platform workstream from strategic planning to tactical activities, including ideation, discovery, development, launch, and post-launch analysis.
• Define and articulate the product vision, strategy, and roadmap for your workstream, ensuring alignment with the overall AI platform roadmap, Evolent's company goals, and market trends.
• Conduct thorough market research, competitive analysis, and customer feedback gathering (internal teams and clients) to identify unmet needs and opportunities.
• Translate complex business requirements and user needs into detailed product specifications, user stories, and acceptance criteria.
• Collaborate closely with engineering, architecture, applied AI, data science, design, and other cross-functional teams to ensure successful product development and delivery.
• Prioritize the product backlog and manage feature development, ensuring optimal resource allocation and timely delivery against platform and capability delivery dates.
• Develop and execute go-to-market and adoption strategies, including positioning, messaging, and enablement materials for the internal teams and clients who consume your platform components.
• Monitor product performance, analyze key metrics, and identify areas for improvement and iteration.
• Act as a product evangelist, communicating product value and benefits to internal and external stakeholders.
• Mentor and provide guidance to junior product managers and team members.
• Partner with data science and engineering leaders to define scalable AI architectures, model evaluation frameworks, and production readiness criteria.
• Own definition, execution, and measurement of proof-of-concepts and pilot initiatives to validate emerging technologies.
• Drive decisions regarding AI feature prioritization based on customer value, operational efficiency, and technical feasibility.

• Bachelor's degree in a relevant field (e.g., Computer Science, Data Science, Engineering, Business, Healthcare Administration) or equivalent practical experience.
• Minimum 5-7+ years of experience in product management, with a strong emphasis on software products in the healthcare technology sector, including 2+ years owning platform, infrastructure, data, or API products consumed by other engineering teams.
• Proven track record of successfully launching and managing complex software products.
• Demonstrated ability to define and execute product strategy, roadmap, and go-to-market plans.
• Working knowledge of modern AI technologies and the trade-offs among them: model selection, prompting and orchestration approaches, retrieval-augmented generation, fine-tuning versus prompting, and agentic patterns.
• Proven ability to partner with architects and engineers on technical trade-offs, including build versus buy versus partner, canonical data models, and API and event contracts.
• Experience…