About The Position

We’re scaling TrustLayer’s platform, and to get there, we need a technical, hands-on product leader who’s comfortable bridging product discovery, prototyping, GTM strategy, and engineering execution. You’ll own the full product lifecycle: understanding problems, prototyping solutions, validating ideas with customers, shaping pitches, and collaborating with GTM teams on positioning and launch strategy. You’ll instrument metrics, experiment to move key business outcomes, and work closely with engineering to ship and iterate. You’re not afraid to read code, explore APIs, and build quick prototypes to accelerate learning.

Requirements

  • Have 5+ years shipping SaaS products and owning outcomes, not just tickets.
  • Are technical — you can read/write code, query APIs, and speak fluently with engineers.
  • Thrive in ambiguous, 0→1 environments, turning fuzzy problems into clear solutions.
  • Are data-driven and comfortable instrumenting metrics, dashboards, and funnels.
  • Can balance rapid experimentation with long-term product strategy.
  • Communicate crisply with designers, engineers, execs, and customers.

Nice To Haves

  • Insurtech, risk, compliance, or other complex B2B workflows.
  • AI-powered products (LLMs, OCR, embeddings, evaluation frameworks).
  • Growth engineering or GTM ops: lifecycle messaging, A/B testing, event modeling, CRM plumbing.

Responsibilities

  • Work directly with customers, partners, and internal teams to understand workflows, uncover pain points, and define clear product opportunities.
  • Shape pitches around prototypes, testing ideas early to de-risk big bets, and collaborate with engineering to size cycles effectively.
  • Use data and customer insights to validate assumptions, kill bad ideas early, and double down on what works.
  • Leverage AI-powered tools and workflows across discovery and prototyping to test solutions faster and smarter.
  • Own the lifecycle of your bets — from shaping and pitching to managing delivery through cycles and ensuring they land.
  • Partner closely with engineering and GTM teams to prototype quickly, validate technical feasibility, and drive continuous iteration.
  • Instrument analytics, define event taxonomies, and measure impact across activation, time-to-value, compliance, and adoption.
  • Run structured experiments on pricing, onboarding, and growth loops — focusing on outcomes, not just outputs.
  • Partner with Sales, CS, and Marketing to launch features, enable internal teams, and accelerate adoption.
  • Collaborate on GTM strategy, demo environments, sample datasets, and win-loss insights to drive customer success.
  • Align product, engineering, and GTM teams around key business outcomes and measurable impact.
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