About The Position

We’re hiring a Product Lead to join our team and embed directly inside one of our client organizations — a leader in design-build. This role is for a hands-on product builder who thrives on embedding with teams, understanding their workflows, and delivering AI-powered software that drives real value. This is not a “strategy-only” role. You’ll spend your time with users, engineers, and executives alike — uncovering needs, setting priorities, and getting solutions shipped. You’ll bring modern product practices into a complex, real-world industry, while raising the bar for excellence in how software gets built.

Requirements

  • 8+ years of product management experience, ideally building tools for complex workflows or mission-critical environments.
  • Proven ability to balance discovery and delivery — finding the right problems and shipping solutions that stick.
  • Experience leading small engineering teams or pods with high accountability.
  • Consulting mindset: able to embed inside client organizations, guide practices, and earn trust quickly.
  • Excellent communicator who can flex for end users, engineers, and executives.
  • Comfortable working with APIs and data pipelines — able to shape requirements, validate inputs, and build against structured data.
  • Experience with modern data platforms, ideally Snowflake (or equivalent warehouses like BigQuery, Redshift).
  • Able to make smart build choices with AI — knowing when to call APIs, when to use custom GPTs, and how to combine them into solutions that actually work for teams.
  • Operates confidently in cloud environments, especially Microsoft Azure and AWS ecosystems.
  • Above all, be someone that people admire, because you’re having fun doing great work.

Nice To Haves

  • Familiarity with enterprise integrations (e.g. Tableau) to connect insights into user workflows.

Responsibilities

  • Embed with client teams to observe workflows, run discovery, and translate insights into actionable software requirements.
  • Develop and apply structured prioritization methods (balancing user value, business outcomes, and technical feasibility) to guide trade-offs.
  • Keep teams focused on the highest-leverage opportunities, not just the loudest requests.
  • Scope projects with realistic estimates and clear milestones that deliver value early and often.
  • Know how to ship a prototype, gain feedback, iterate to value, and release production-grade solutions.
  • Lead small pods of engineers and operators to ship high-quality, on-time solutions.
  • Facilitate leadership updates and reporting, ensuring execs are aligned and confident in progress.
  • Above all, be able to roll up your sleeves to solve the problem in a way that advances us and the organization.
  • Work directly with APIs, data pipelines, and AI models to shape and validate solutions.
  • Partner with engineers to design and ship AI-driven tools that fit seamlessly into existing workflows.
  • Establish best practices for evaluating tools — weighing accuracy, usability, and long-term fit.
  • Stay current on AI capabilities and help translate them into practical applications inside the client’s environment.
  • Raise the bar for product craft, from clear scopes to clean communication and transparent evaluations that anyone can quickly understand.
  • Codify lessons into playbooks so the client builds lasting product capability.
  • Build a culture of excellence: sharing wins, measuring outcomes, celebrating progress, and owning areas of improvement.
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