Senior Product Manager - AI

About the role

The primary work location for this role is Berwyn with a hybrid work model.

Responsibilities

• Own and drive execution of AI-enabled and insights-driven features, including decision intelligence and Next Best Action capabilities, with accountability for adoption and measurable business outcomes.
• Partner with channel Product leaders to apply AI and insights consistently across products and lines of business.
• Identify, validate, and prioritize high-impact AI and insights use cases through stakeholder and customer engagement, including GenAI and agentic workflow opportunities.
• Collaborate with Data Product and Data Science teams to translate models, analytics, and insights into usable product features; ensure outputs are explainable, auditable, and aligned with responsible AI standards.
• Work closely with Integrations and Engineering to surface AI and insights via scalable, API-driven approaches across internal and external platforms.
• Define features, epics, and stories with clear acceptance criteria; manage priorities in a fast-paced delivery environment.
• Define success metrics tied to advisor workflow impact and business outcomes; use data and feedback to drive continuous improvement, adoption, and demonstrated ROI.
• Communicate product goals, progress, outcomes, and tradeoffs to Product leadership and partners.
• Ensure AI and insights features solve real advisor, enterprise, and asset manager workflow needs.
• Adhere to and apply Envestnet legal, compliance, risk, business continuity, and administrative policies within the role and department(s).

Requirements

• Bachelor’s degree in Business, Computer Science, Engineering, Data Science, or a related field; equivalent practical experience considered.
• 8-10 years of experience in product management, with ownership of complex, data-driven products or features; experience shipping AI-enabled or analytics products strongly preferred.
• Strong experience working in agile product development environments.
• Demonstrated ability to partner closely with Engineering, Data, and Analytics teams on technically complex initiatives.
• High data fluency, with experience translating analytics, insights, or models into customer-facing product capabilities; working familiarity with GenAI, LLM-based features, or agentic workflows is a strong plus.
• Proven ability to manage competing priorities and operate effectively in fast-changing, ambiguous environments.
• Excellent written and verbal communication skills, with the ability to articulate product value and technical concepts clearly.

Qualifications

• Experience shipping AI-enabled, analytics, or decision intelligence products (e.g., Next Best Action, recommendations, personalization, or generative AI features) with measurable user adoption.
• Working knowledge of data science, machine learning, or advanced analytics concepts, including the ability to engage meaningfully with model teams on evaluation criteria, feature design, and explainability.
• Experience building or integrating products using APIs and supporting platform-agnostic delivery models.
• Understanding of model lifecycle concepts (training, evaluation, monitoring, drift) and responsible AI practices, including explainability and auditability requirements relevant to regulated financial services environments.
• Background in fintech, wealth management, or enterprise SaaS platforms.
• Experience working across multiple products or lines of business rather than a single standalone application.

Skills

• Data fluency
• Agile methodologies
• Collaboration with engineering and data teams
• Product discovery and prioritization
• Feature definition and management
• Customer engagement and validation
• Model lifecycle understanding
• Responsible AI practices
• API integration
• Product management experience
• GenAI and agentic workflow knowledge

Benefits

Envestnet offers a comprehensive suite of benefits including medical insurance, paid time off (PTO), 401k company match, paid parental leave, education reimbursement, disability coverage, and mental health & wellness support.

Pay

Competitive, market-aligned compensation complemented with performance-linked incentives and rewards programs.

Schedule

Hybrid work model with primary work location in Berwyn.