Technical Product Manager – AI Digital Engineering Service Line

Technical Product Manager AI Digital Engineering Service Line
Location- Memphis TN (Locals only)

Role Summary

We are seeking a Technical Product Manager to lead product discovery and delivery across financial services insurance and this role you will frame complex problems define the right questions before pursuing solutions and drive product decisions that create measurable customer and business value.

You will set product direction in partnership with engineering design and business stakeholders owning the roadmap navigating technical tradeoffs and maintaining strategic alignment across teams without relying on formal authority. The role requires equal fluency in product thinking and technical context with the ability to operate effectively at both the strategic and delivery level.

Responsibilities

• Define product vision and strategy aligned with customer needs business goals and market opportunities.
• Lead discovery to frame problems identify opportunities and guide teams through solution ideation and convergence.
• Balance customer value technical feasibility delivery risks and business impact when making product decisions.
• Translate strategy into roadmaps epics features and user stories.
• Use data KPIs and customer insights to pressure-test assumptions and sharpen prioritization.
• Bring product context to architecture decisions feasibility tradeoffs and solution design in collaboration with engineering and design.
• Maintain delivery alignment across client engagements by surfacing dependencies managing risks and ensuring roadmap commitments are met.
• Communicate product vision roadmap decisions and risks with clarity for both executive and delivery audiences.

Qualifications

• 8 years of experience in Technical Product Management or end-to-end product delivery within complex technology environments.
• Proven ability to define product vision and drive roadmap strategy from discovery through delivery.
• Strong product discovery skills including problem framing solution exploration and tradeoff decisions.
• Technical fluency sufficient to evaluate architecture decisions assess feasibility tradeoffs and engage credibly with engineering teams on system design.