AI Product Manager

You will sit at the intersection of product thinking, AI architecture, and client delivery, driving bespoke AI-first solutions across complex enterprise engagements in healthcare, construction, finance, and consumer goods.

 You will own the full lifecycle of client solutions — from business requirements and scope definition through to working prototypes and production-ready specifications. You'll shape how AI is embedded into our clients' most critical workflows, and you'll do it with a mindset that treats AI as the first tool, not the last resort.

You'll join the AI Business Transformation practice at AnswerRocket — a team focused on delivering high-quality, bespoke AI analytics solutions for enterprise clients. The practice operates across verticals with a staffing model that flexes by engagement complexity: you will work alongside lead consultants and report directly to the Practice Lead.

WHAT YOU'LL DO

Product & Solution Leadership

• Own end-to-end product delivery for bespoke AI engagements — from requirements definition through go-live and iteration
• Drive scope discovery and gap analysis, surfacing what the client doesn't yet know they need
• Translate complex business problems into structured, testable AI solution designs
• Define and maintain solution roadmaps, managing prioritization across competing stakeholder needs
• Build and maintain business requirements artifacts that are traceable, precise, and engineering-ready

AI-First Delivery

• Design multi-step agentic workflows — defining how agents plan, what they act on, when they escalate, and when they stop
• Prototype and validate AI solutions directly — you find a way to make things tangible, with or without traditional engineering support
• Build human-in-the-loop into the architecture from day one — knowing which decisions belong to AI, which belong to humans, and how handoffs should work in practice
• Evaluate agent outputs rigorously — you define what correct looks like before anything runs, not after

 Client Engagement

• Lead discovery sessions, stakeholder workshops, and solution alignment meetings with VP- and C-suite client contacts
• Manage multiple concurrent engagements at different complexity levels simultaneously
• Serve as a credible strategic voice on AI capability, limitation, and risk — especially where clients are AI-naive
• Build client trust through transparency: rigorous answer quality thinking, clear provenance, and honest uncertainty quantification

 Practice Contribution

• Mentor delivery-focused consultants and contribute to team methodology and toolkits
• Help shape how the practice approaches vertical expansion, staffing models, and engagement frameworks
• Identify and surface new solution patterns that can be replicated across the portfolio

WHAT YOU BRING

Must-Have

• 8+ years in a product, consulting, or solution design role — with clear ownership of complex, large-scale engagements
• Deep, genuine AI-first orientation: you default to AI approaches, you've built things with LLMs, and you can articulate why an AI solution is or isn't the right call
• Ability to build and validate working solutions — whether that's through code, AI-assisted development, or rapid prototyping tools
• Experience owning product requirements end-to-end: use cases, acceptance criteria, capability maps, and handoff to engineering
• Comfort with data and databases — you don't need to be a DBA, but you should understand how data is structured and how that shapes what AI can and can't do with it
• Track record of managing large, complex projects with multiple stakeholders, workstreams, and ambiguous scope
• Strong written and verbal communication — you can run a client workshop and write a PRD with equal confidence

Strong Preference

• Domain experience in one or more of: healthcare, construction, financial services, or supply chain / CPG
• Hands-on experience with agentic AI systems, multi-step reasoning pipelines, or LLM evaluation frameworks
• Experience in a consulting or professional services environment — you understand the client-delivery dynamic

 Nice to Have

• Exposure to brand analytics, consumer insights, or market research data environments
• Experience with BI or analytics platforms (Tableau, Power BI, or similar) as a product or consulting context
• Familiarity with vector databases, embedding pipelines, or retrieval-augmented generation in production

WHO YOU ARE

• You think in systems but communicate in plain language
• You treat scope gaps as signal, not problems — and you know how to surface them without alarming clients
• You are AI-native: you use AI in your daily workflow, you think about what AI can and can't do, and you have strong opinions about quality
• You can hold a room with senior client stakeholders and then go write clean requirements the same afternoon
• You care about whether the answer is right, not just whether it shipped
• You have enough technical depth to know when the engineering team is cutting corners and enough business depth to know why that matters