Staff Full Stack Product Engineer

LearnLux•Colorado, USA, CO

3d•$190,000 - $220,000•Remote

About The Position

LearnLux is hiring a Staff Full Stack Product Engineer to help set the technical direction for its workplace financial wellbeing platform. The role will own the architecture for the next generation of the member experience, defining a cohesive full-stack strategy across frontend and data architecture, backend integrations, and agentic automation. The engineer will turn that strategy into phased, executable work and make architectural decisions that support both near-term delivery and long-term platform health. Working closely with engineering leadership and teams across Product, Design, Sales, and other functions, this person will shape product and technical roadmaps, represent engineering in strategic planning, and lead company-critical initiatives from concept through delivery. The role is hands-on, including building AI-powered features and directing agents that build, test, and ship software. It also includes raising engineering standards, mentoring senior engineers, and helping the team adopt reliable agentic development practices. The role reports to the Product Engineering Manager and is based in Denver, Colorado. Remote candidates will be evaluated case by case.

Requirements

Staff-level scope and impact, including ownership of architecture and technical direction for multi-team and multi-quarter initiatives.
Deep experience shipping generative AI features in user-facing products, including evaluations, observability, cost, and reliability.
Expert full-stack experience with React, TypeScript, and Node.js and/or Python, including systems and API design and relational and non-relational data models.
A track record of simplifying code and architecture to reduce complexity and maintenance costs.
Ability to decompose large, loosely defined initiatives into phased roadmaps and executable plans.
Fluency with agentic development workflows and experience driving adoption, including structuring context for teammates and AI agents.
Experience maturing agent harnesses, including agent loops, tool access, memory and context management, guardrails, sub-agent orchestration, and extensions such as hooks, skills, and MCP.
Strong product and business judgment, including connecting technical decisions to customer experience, cost, and revenue and weighing build, buy, and partner options.
Hands-on experience designing scalable, secure systems on major cloud platforms such as GCP, AWS, or Azure.
Strong communication skills, especially in explaining architectural tradeoffs and technical decisions.
Ability to elevate engineering culture and standards and invest in developing other engineers.

Nice To Haves

Experience with sensitive financial or personal data.

Responsibilities

Own the end-to-end architecture for the next-generation member experience and break the full-stack strategy into phased work.
Solve user problems at scale by turning data-driven insights into product solutions and measuring their outcomes.
Design and ship AI-powered features across the stack, establishing patterns, guardrails, and evaluations for reliable development.
Lead multi-quarter, company-critical initiatives from concept to delivery and resolve cross-team dependencies.
Translate ambiguous business problems into technical strategies and partner with Product, Design, and leadership on the roadmap.
Set architectural direction across the React, TypeScript, Node.js, Python, and serverless GCP stack, remaining hands-on by directing agents that build, test, and ship.
Make architectural decisions that balance delivery with long-term platform health and identify systemic risks early.
Champion agentic development workflows and drive adoption across the engineering team.
Mentor senior engineers through pairing, guidance, and modeling ownership and systems thinking.
Own reliability by design and lead resolution of complex issues, improving system resilience.