AI Product Manager
AnswerRocket
| Company | AnswerRocket |
| Category | Data & Analytics |
| Location | Atlanta |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Manager |
| Salary | Not stated by the employer |
| Posted | 8 Jun 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
At AnswerRocket, we build transformative AI solutions that drive measurable results for Fortune 2000 Enterprises. For over a decade, we’ve helped industry leaders across sectors from consumer goods and construction to healthcare and financial services, harness AI to achieve tangible business outcomes. Our strength is the composition of our team: developers, data scientists, designers, architects, and AI/ML experts working alongside senior-level consultants. This combination allows us to solve enterprise AI challenges from strategy through implementation and optimization, and it is why some of the world’s largest companies seek us out. 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 require
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