Sr Product Manager (Agentic User Interface)

Posted 10 Days Ago
Be an Early Applicant
Hiring Remotely in Home, Klouékanmè, Kouffo, BEN
Remote
120K-135K Annually
Senior level
Healthtech
The Role
Own the strategy, roadmap, and lifecycle of an agentic AI user interface used by clinicians, nurses, and operations teams. Lead user research, requirements, prioritization, development, launch, adoption, and performance measurement. Partner with UX, engineering, architecture, data science, and applied AI teams to deliver explainable, governed, human-in-the-loop healthcare AI experiences. Define AI product requirements, evaluation frameworks, pilots, go-to-market plans, and production-readiness criteria while mentoring junior product managers.
Summary Generated by Built In

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. 

#EvolentAi

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 [email protected] 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.

Skills Required

  • Bachelor's degree in a relevant field or equivalent practical experience
  • 5-7+ years of product management experience
  • Strong experience with software products in the healthcare technology sector
  • 2+ years owning user-facing applications or platform products consumed by other teams
  • Track record launching and managing complex software products
  • Experience defining and executing product strategy, roadmaps, and go-to-market plans
  • Strong grounding in UX principles and design thinking
  • Hands-on experience with generative AI systems in production
  • Knowledge of LLM workflows, retrieval and document processing pipelines, evaluation and monitoring, and human-in-the-loop review patterns
  • Working knowledge of model selection, prompting, orchestration, retrieval-augmented generation, fine-tuning, and agentic patterns
  • Experience partnering with architects and engineers on technical trade-offs, data models, APIs, and event contracts
  • Experience delivering software in regulated environments handling PHI or PII, including audit, traceability, and access controls
  • Strong analytical, communication, presentation, and interpersonal skills
  • Experience with Agile methodologies such as Scrum or Kanban
  • Proficiency with product management tools such as JIRA, Confluence, or Aha!
  • Ability to manage multiple priorities in a fast-paced environment
  • Master's degree in a relevant field
  • Knowledge of payer, provider, and value-based healthcare models
  • Experience in prior authorization, utilization management, appeals, or payer/provider clinical operations
  • Experience leading GenAI or machine learning product initiatives through enterprise-scale launch
  • Experience shipping conversational, copilot, or agent-driven interfaces
  • Knowledge of explainability, confidence and citation display, human escalation, and reviewer override patterns
  • Knowledge of FHIR, X12 278, HL7, and CMS interoperability and prior authorization rules
  • Depth in Microsoft Azure or comparable AWS or Google Cloud platforms
  • Experience with agent architectures, orchestration frameworks, embedding and retrieval pipelines, and centralized AI gateways
  • Knowledge of MLOps and LLMOps practices, evaluation datasets, shadow-mode validation, drift monitoring, quality monitoring, and observability
  • Exposure to AI identity, access, lifecycle governance, HITRUST, or SOC 2 programs
  • Experience with product analytics, experimentation, A/B testing, and usability research
  • Experience collaborating with data scientists on experimentation, model tuning, and deployment strategies

Evolent Health Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Evolent Health and has not been reviewed or approved by Evolent Health.

  • Leave & Time Off Breadth — Salaried roles commonly include unlimited PTO alongside paid holidays, volunteer time off, and a sabbatical option after several years. Feedback suggests time-off flexibility is a meaningful lifestyle strength for many roles.
  • Healthcare Strength — Comprehensive medical, dental, and vision coverage is paired with a publicly highlighted emphasis on mental-health resources, including a 2026 Gold Bell Seal from Mental Health America. This recognition signals above-baseline support for employee health needs.
  • Wellbeing & Lifestyle Benefits — A remote-first approach for most positions and flexible work arrangements are consistently emphasized. Feedback suggests these elements add notable non-cash value to the overall package.

Evolent Health Insights

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The Company
HQ: Arlington, VA
2,581 Employees
Year Founded: 2011

What We Do

Evolent Health delivers proven clinical and administrative solutions that improve whole person health while making health care simpler and more affordable. Our three solutions—Evolent Care Partners, New Century Health and Evolent Health Services—encompass total cost of care management, specialty care management and administrative simplification. Evolent serves a national base of leading payers and providers, is the first company to receive the National Committee for Quality Assurance's Population Health Program Accreditation, and is consistently recognized as a top place to work in health care nationally. OUR PEOPLE We were named one of “Becker’s 150 Great Places to Work in Healthcare” in 2016, 2017, 2018 and 2019 and are proud to be recognized as a leader in driving diversity, equity, and inclusion (DE&I) efforts. Evolent achieved a 100% score on the 2020 Human Rights Campaign's Corporate Equality Index, making us one of the best places to work for LGBTQ+ employees. We were also named on the Best Companies for Women to Advance List 2020 and 2021 by Parity.org. OUR CULTURE Our accessible leadership team cultivates an open-door environment. We don’t like approval chains; we love ideas and people with the courage and conviction to bring novel solutions forward. We win as a team and always ask how we can do better. We respect and encourage commitments outside of work. OUR COMPENSATION & BENEFITS We recognize and reward our most valuable asset—our team—with competitive pay and annual performance-based bonuses. Evolent also offers comprehensive health benefits, a company-matched 401(k) and flexible spending accounts. Every salaried Evolent employee receives unlimited Personal Time Off and is eligible for a month-long sabbatical after working five years with Evolent. This account is monitored closely by our company. Please message us at [email protected] with any questions or concerns.

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