Agent Product Consultant

LiberateBoston, MA
$160,000 - $235,000

About The Position

As an Agent Product Manager, you bring the structured thinking, analytical horsepower, and executive presence of a strong consulting background - and apply it as an owner, not an advisor. You take ambiguous, high-stakes problems for our enterprise insurance customers and drive them end-to-end: framing what to build, designing the agent systems that deliver it, navigating hard product and engineering tradeoffs, and owning the outcome through to measurable, in-production value. This is fast-paced, hands-on, customer-facing work for someone who wants to build and operate, not just recommend.

Requirements

  • 6+ years of professional experience, including 3+ years in management consulting
  • Strong academic record and a clear analytical spike
  • Proven enterprise customer-facing ownership - owning outcomes end-to-end, not just advising stakeholders
  • Demonstrated experience owning a messy implementation or customer outcome from start to finish
  • Exceptional structured thinking and communication; able to explain complex work simply
  • High agency and comfort operating in ambiguity with competing constraints
  • Clear upward trajectory and evidence of raising the bar without being asked

Nice To Haves

  • Experience with AI/ML systems, workflow automation, or agent-based products
  • Background in insurance, fintech, or other regulated industries
  • Familiarity with system design tradeoffs and technical architecture
  • A track record of productizing or creating reusable patterns from implementations

Responsibilities

  • Own ambiguous problem spaces end-to-end. Structure messy, undefined problems with incomplete information and drive them to measurable customer outcomes - owning the result, not just the recommendation.
  • Lead executive-level customer engagements. Earn the trust of customer leadership, communicate clearly under pressure, and commit to a plan without overpromising on certainty or timelines.
  • Apply structured, analytical problem-solving. Segment problems rather than treating them generically, quantify severity and impact, prioritize ruthlessly, and make crisp recommendations despite ambiguity.
  • Partner with Engineering on high-leverage tradeoffs. Separate launch-critical needs from nice-to-haves, distinguish customer-specific config from reusable platform capability, and balance speed, quality, and scalability with clear requirements and decision criteria.
  • Own delivery, adoption, and outcomes. Drive measurable value in production - not just a successful deployment - and own the customer relationship through it.
  • Create reusable patterns. Turn recurring solutions into scalable product, platform, playbook, or process improvements so the next engagement isn't a repeat fire drill.
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