Sr Product Manager (Agentic User Interface)
Evolent Health · Work at Home · $120,000–$135,000 (stated in the posting)
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 (Agentic User Interface)
Evolent is building a new AI platform from the ground up, and this role designs how people will actually work with it. As Sr Product Manager for the agentic user interface, you will own the experience through which clinicians, nurses, and operations teams collaborate with AI agents every day: what an agent surfaces, when it asks for a human decision, how it explains itself, and how a reviewer stays in control while practicing at the top of their license. 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. This is a role for someone who is passionate about user interfaces, working alongside clinicians to design them, and genuinely curious about how the nature of work changes when AI becomes a teammate rather than a tool. If you want to define what that looks like in healthcare, and see it change how care actually gets delivered, this is that role.
Responsibilities
- Lead the product lifecycle for the agentic user interface 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 how users interact with AI agents, ensuring alignment with the overall AI platform roadmap, Evolent's company goals, and market trends.
- Conduct thorough user research, competitive analysis, and customer feedback gathering (clinicians, operations 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 UX design, engineering, architecture, applied AI, data science, 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, training, and enablement materials for the internal teams and clients who use the interface.
- Monitor product performance, analyze key metrics such as adoption, task completion, and user trust in agent output, 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.
- Lead AI product strategy and roadmap development for the GenAI-enabled capabilities surfaced through the agentic user interface.
- 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 and interaction patterns.
- Define product requirements for AI-powered features, including model quality expectations, human-in-the-loop and governance requirements, and user adoption measures.
- Drive decisions regarding AI feature prioritization based on customer value, operational efficiency, and technical feasibility.
Required Qualifications
- 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 user-facing applications or platform products consumed by other 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.
- Strong grounding in user experience (UX) principles and design thinking, with experience partnering with designers and researchers to ship interfaces that people adopt and trust.
- Hands-on product experience with generative AI systems in production, such as LLM-based workflows, retrieval and document processing pipelines, evaluation and monitoring, and human-in-the-loop review patterns.
- 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 delivering software in a regulated environment with sensitive or protected data (PHI/PII), including audit, traceability, and access-control requirements.
- Strong analytical skills with the ability to interpret data, identify trends, and make data-driven decisions.
- Excellent communication, presentation, and interpersonal skills, with the ability to effectively communicate with technical and non-technical stakeholders.
- Experience with Agile development methodologies (e.g., Scrum, Kanban) and proficiency in product management tools (e.g., JIRA, Confluence, Aha!).
- Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.
Preferred Qualifications
- Master's degree in a relevant field (e.g., Business, Computer Science, Data Science, Human-Computer Interaction, Healthcare Administration, Engineering).
- Deep understanding of the healthcare industry, including payer, provider, and value-based care models; experience in prior authorization, utilization management, appeals, or payer and provider clinical operations is a plus.
- Direct experience leading GenAI or machine learning product initiatives from concept through launch, and bringing AI-enabled products to enterprise scale.
- Experience shipping conversational, copilot, or agent-driven interfaces, including patterns for explainability, confidence and citation display, escalation to a human, and reviewer override.
- Working knowledge of healthcare interoperability standards such as FHIR, X12 278, and HL7, and of CMS Interoperability and Prior Authorization rules.
- Depth in Microsoft Azure as a primary platform (e.g., AKS, Service Bus, Azure SQL and Cosmos DB, Azure AI Foundry, Azure OpenAI, Document Intelligence, AI Search). Comparable AWS or Google Cloud depth considered.
- Experience with agent architectures and orchestration frameworks, embedding and retrieval pipelines, and model routing through a centralized AI gateway.
- Knowledge of MLOps and LLMOps practices, including evaluation datasets and scoring, shadow-mode validation, drift and quality monitoring, and observability tooling such as OpenTelemetry.
- Exposure to identity, access, and lifecycle governance for AI systems and agents, and to HITRUST or SOC 2 certification programs.
- Experience with product analytics and experimentation tools, including A/B testing and usability research methods.
- Experience collaborating with data scientists on experimentation, model tuning, and deployment strategies.
To ensure a secure hiring process we have implemented several identity verification steps, including submission of a government issued photo ID. We conduct identity verification during interviews, and final interviews may require onsite attendance. All candidates must complete a comprehensive background check, in-person I-9 verification, and may be subject to drug screening prior to employment. The use of artificial intelligence tools during interviews is prohibited and monitored. Misrepresentation will result in immediate disqualification from consideration.
Technical Requirements:
We require that all employees have the following technical capability at their home: High speed internet over 10 Mbps and, specifically for all call center employees, the ability to plug in directly to the home internet router.
Evolent is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status. If you need reasonable accommodation to access the information provided on this website, please contact recruitingteam@evolent.com for further assistance.
The expected base salary/wage range for this position is $120,000 - 135,000. As part of our total compensation package, Evolent is proud to offer comprehensive benefits (including health insurance benefits) to qualifying employees. All compensation determinations are based on the skills and experience required for the position and commensurate with experience of selected individuals, which may vary above and below the stated amounts.