Ai Product Manager Jobs

About The Position

Requirements

• 5-8 years in product management, client or customer data/analytics leadership, or growth intelligence – with a track record of driving adoption with senior professionals
• Experience in professional services, financial services, or B2B SaaS
• Comfortable owning a product, interacting with and presenting to senior leadership
• Understands data architecture, scoring models, and API integrations – without being an engineer
• Strong communicator with disciplined follow-through: translates between technical and business teams, writes crisp leadership updates, and closes the loop without being asked

Nice To Haves

• Experience with AI product development from the business side – including AI agents, conversational AI, or Copilot/Claude-style tools – focused on shaping behavior and driving adoption with non-technical users
• Familiarity with CRM systems (NetSuite, Salesforce), Power BI or similar analytics platforms, and cloud data platforms (Azure Fabric, Snowflake)
• Prior experience at a Big Four firm, mid-market accounting firm, or PE-backed professional services platform
• Experience with client health scoring, NPS programs, or cross-sell intelligence

Responsibilities

• OpportunityIQ - Product Owner AI-powered cross-sell intelligence, Board-funded, July 1 delivery milestone
• Own product direction sprint-to-sprint; define success from the partner perspective and set adoption criteria tied to business value
• Run program cadence and cross-team coordination; track decisions, risks, and dependencies; drive structured follow-through across leadership, business lines, and the technical team
• Publish concise readouts after key meetings and milestones (decisions, open items, owners, next steps) so progress is visible without constant escalation
• Manage the partner feedback loop; make release go/no-go recommendations; co-lead adoption with the EisnerAI team so OIQ becomes part of how partners drive growth
• Own SME intake: identify the right contributors, translate input with the AI team, and provide concise recommendations to senior leaders for timely decisions
• Ensure OIQ and the Client Intelligence Dashboard deliver a coherent experience – not two competing tools
• Client Intelligence Dashboard – Product Owner Stewardship health scoring in Power BI, phases 1–2 approved
• Own how the Dashboard serves practice leaders and Growth Mentors; ensure the scoring model is sound and outputs are actionable
• Manage phases 1-3 with CX analysts; own scope, timeline, and stakeholder communications
• Drive Qualtrics-to-Fabric integration and define how CX intelligence feeds the firm’s operational ecosystem
• Mentor CX analysts – provide experienced business intelligence leadership for their development
• CX AI Agent Development & Deployment Owning the lifecycle of AI agents that extend CX intelligence to employees firmwide
• Lead development and deployment of CX AI agents (e.g., ICS Coach, Client Growth Advisor, SCOUT), ensuring alignment to CX programs and measurable adoption
• Define requirements, success metrics, and partner-facing behaviors; translate CX domain expertise into agent guidance employees trust and use
• Track agent usage, partner feedback, and outcome data; report on adoption and ROI as part of the broader CX value story
• CX Intelligence Strategy, Stakeholder & Program Communication Own the strategy for how CX’s intelligence products connect to the firm’s growth ecosystem and serve

Benefits

• flexibility to manage your days in support of our commitment to work/life balance