Staff Product Engineer at Trust & Will

  • Company: Trust & Will
  • Location: Remote
  • Salary: $225K – $250K
  • Job type: full time
  • Workplace: remote
  • Posted: 2026-10-23

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Job description

Founded in 2017, Trust & Will is the leading digital estate planning platform, trusted by over one million users. We provide modern, accessible solutions to help families protect their legacies with attorney-approved, legally valid documents tailored to individual state requirements. Our seamless online platform simplifies the estate planning and settlement process, empowering individuals to create wills and trusts while also partnering with financial advisors, attorneys, and institutions to make legacy planning more inclusive and affordable. As a Staff Product Engineer, you take product work from a customer or business need through production, across both product and engineering. You combine product judgment, full-stack engineering and agent-driven development, partner closely with product management, design and engineering, and carry a project independently when the work calls for it. This is a staff-level individual contributor role with company-wide scope. About the Role: Own product and engineering work from intake through launch, and stay with it after it ships. Partner with product managers on the problem, the customer and the business case, and bring a view on scope, sequencing and what not to build. Partner with engineering leaders and senior engineers on architecture, design reviews and technical direction. Talk directly with members, advisors, attorneys and internal teams to understand use cases. Design and ship across the platform (UI, services, data and integrations). Carry a project end to end, partnering with others when the work calls for it. Build testing, safe release, and production visibility into the work, and make tradeoffs explicit. Move across product areas as priorities change, pairing with others, and leaving behind systems the team can reuse. Qualifications: 8+ years building and shipping customer-facing software, or equivalent depth, including work at a staff, principal or lead level. Staff-level product judgment: framing an ambiguous problem, defining success, setting scope and deciding what not to build. Staff-level engineering depth: system design across user interfaces, APIs and relational data, with sound tradeoffs between speed, reliability and long-term maintainability. A record of shipping from idea to production, with or without a detailed spec, and owning the result after launch. Experience partnering as a peer with product managers, designers and engineering leaders, and bringing decisions through design and architecture review. Comfort working directly with customers and non-technical partners, and turning what they say into a scope. Care for quality, security, and reliability in production, especially in products that handle sensitive personal and financial information. Influence without formal authority, through clear writing, clear tradeoffs, pairing and example. This position is available to candidates residing in the following states only: California (CA), Colorado (CO), Florida (FL), Georgia (GA), Idaho (ID), Illinois (IL), Maryland (MD), New Jersey (NJ), New York (NY), North Carolina (NC), Pennsylvania (PA), Tennessee (TN), Texas (TX), Vermont (VT), Nevada (NV), Utah (UT) How We Work: AI-First Works mainly by specifying outcomes: a clear goal, constraints and acceptance criteria that agents (Claude Code, Cursor, Codex or similar) pursue without continuous supervision. Builds validation into the system, through tests, evaluations, automated checks and production signals, so agents confirm their own work before a person reviews the result. Sets and governs the boundaries agents work within, including what they may change, release or access, with extra care around customer data, security and production. Handles the exceptions agents escalate, and keeps step-by-step supervision for work where the risk calls for it. Helps other engineers move from using AI as an assistant toward delegating whole outcomes, safely. Candidates must walk through a real outcome they delegated to agents duri

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