Lead (AI) Product Engineer

About the role

Join a small and impactful engineering team that's reshaping the future of work by building one people platform for high-performing companies. As a Lead Product Engineer, you will be a technical anchor for the team, helping transition our platform from reactive tools to proactive workflows across the entire employee lifecycle.

What you'll do

• Strategic Technical Partnership: Partner with product and design as a technical peer - shaping scope, challenging assumptions, and influencing the roadmap to ensure our strategy solves real user problems.
• AI & Agentic Architecture: Design and build robust, scalable applications, integrating LLM-driven agents and RAG pipelines capable of carrying out complex workflows autonomously across our entire platform ecosystem.
• End-to-End Ownership: Own the end-to-end delivery of complex traditional full-stack features and multi-agent AI workflows. Make high-level architectural decisions that balance speed, scalability, and maintainability.
• Security & Data Integrity: Architect secure data pipelines and robust access management systems to safely handle sensitive employee and company data across our interconnected toolstack.
• Data-Driven Iteration: Analyze agent performance analytics, workforce insights, and process outcomes to refine features iteratively, ensuring our proactive triggers and nudges provide genuine business ROI.
• Engineering Excellence & Mentorship: Ensure high-quality, reliable releases by contributing to robust testing, monitoring, and code review processes, while pioneering dedicated AI evaluation suites.

What you'll need

• Product Mindset: You share our belief that engineering is a product-focused discipline, and you're passionate about solving user problems with impactful, scalable solutions.
• Proven Leadership: You have significant experience leading end-to-end product development, previously operating as a tech lead, founding engineer, or senior IC at a high-growth company.
• Technical Anchor: You have a track record of making architectural decisions that shape product outcomes and establish engineering systems where your contributions make future work easier for the whole team.
• Modern Stack Mastery: You operate confidently as a full-stack engineer with deep expertise in modern web frameworks (e.g., Vue.js, React) and backend technologies (Node.js, MongoDB).
• Production AI Experience: You have proven, hands-on experience building and shipping both standard web applications and LLM-powered applications (multi-agent orchestration, RAG pipelines) to production.
• AI Productivity: You have established experience utilizing modern AI coding assistants (e.g., Cursor, Claude Code) and AI-driven code review tools as a core force multiplier in your daily software development lifecycle.
• Pragmatic Excellence: You value high-impact work over high-volume work - balancing high standards with efficient, intentional delivery.