Senior Product Manager – Agentic User Interface

🕒 il y a 7 jours

🇺🇸 États-Unis – Télétravail

💵 $120 000 - $135 000 / an

⏰ Temps Plein

🟠 Senior

✅ Responsable Produit

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

👻 Score fantôme 0%

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Evolent

Site WebLinkedInTous les Emplois

1001 - 5000 employés

⚕️ Assurance santé

🏥 Santé

☁️ SaaS

Healthcare Insurance • Healthcare • SaaS

Evolent est une entreprise de santé axée sur l'amélioration des résultats de soins grâce à ses solutions de gestion complètes couvrant plusieurs spécialités médicales. Elle vise à améliorer le parcours de soins des patients en offrant des services coordonnés dans des domaines tels que l'oncologie, la cardiologie, les troubles musculosquelettiques et les soins primaires, tout en veillant à garantir des parcours de traitement de haute qualité et une gestion des coûts. Evolent croit que chaque personne mérite des soins de qualité, s'efforçant d'aligner les lignes directrices du traitement et les approches innovantes pour répondre efficacement aux besoins des patients.

Description

• Lead the product lifecycle for the agentic user interface from ideation and discovery through development, launch, and post-launch analysis • Define product vision, strategy, and roadmap for user interaction with AI agents • Conduct user research, competitive analysis, and customer feedback gathering • Translate business requirements and user needs into product specifications, user stories, and acceptance criteria • Collaborate with UX, engineering, architecture, applied AI, data science, and cross-functional teams • Prioritize the product backlog and manage feature development and resource allocation • Develop go-to-market and adoption strategies, including positioning, messaging, training, and enablement materials • Monitor product performance and analyze adoption, task completion, and user trust metrics • Act as product evangelist for internal and external stakeholders • Mentor junior product managers and team members • Lead GenAI-enabled product strategy and roadmap development • Partner with data science and engineering leaders on AI architectures, model evaluation, and production readiness • Own proof-of-concepts and pilot initiatives • Define AI feature requirements, model quality expectations, human-in-the-loop governance, and adoption measures • Prioritize AI features based on customer value, operational efficiency, and technical feasibility

🎯 Exigences

• Bachelor's degree in a relevant field or equivalent practical experience • Minimum 5–7+ years of experience in product management • 2+ years owning user-facing applications or platform products consumed by other teams • Strong emphasis on software products in the healthcare technology sector • Proven track record launching and managing complex software products • Ability to define and execute product strategy, roadmap, and go-to-market plans • Strong grounding in UX principles and design thinking • Hands-on product experience with generative AI systems in production • Working knowledge of model selection, prompting, orchestration, RAG, fine-tuning, and agentic patterns • Ability to partner with architects and engineers on technical trade-offs, data models, APIs, and event contracts • Experience delivering software in regulated environments with PHI/PII, audit, traceability, and access-control requirements • Strong analytical skills • Excellent communication, presentation, and interpersonal skills • Experience with Agile methodologies such as Scrum and Kanban • Proficiency in product management tools such as JIRA, Confluence, and Aha! • Ability to manage multiple priorities in a fast-paced environment • High-speed internet over 10 Mbps at home • Government-issued photo ID, comprehensive background check, in-person I-9 verification, and possible drug screening prior to employment • Preferred: Master's degree; healthcare industry knowledge; GenAI or machine learning product leadership; conversational, copilot, or agent-driven interface experience; FHIR, X12 278, HL7, CMS interoperability and prior authorization knowledge; Azure or comparable AWS/Google Cloud expertise; agent architectures; MLOps/LLMOps; AI identity and governance; product analytics and experimentation; collaboration with data scientists

🏖️ Avantages

• Work/life balance • Flexible work arrangements • Autonomy • Health insurance benefits • Comprehensive benefits package • Reasonable accommodation support • Equal opportunity employment