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Product Engineer; d​/f​/m

Job in New York City, Richmond County, New York, USA
Listing for: Leapsome
Full Time position
Listed on 2026-07-01
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Full Stack Developer
Job Description & How to Apply Below
Position: Staff Product Engineer (d/f/m)

Your Opportunity

Join a small and impactful engineering team that's reshaping the future of work by building one people platform for high-performing companies. At Leapsome, our purpose is to make work fulfilling for everyone, helping companies create environments where people can achieve shared goals, build authentic relationships, learn, and grow together. We align product, engineering, and people in a single AI-powered HR platform, built to support fast-growing teams from startup to scale.

We empower product engineers to take ownership of their work, contributing to the full lifecycle of our features, from ideation and discovery to development and iteration.

As a Staff Product Engineer, you will be a technical anchor for the team. You will help transition our platform from reactive tools to proactive workflows across the entire employee lifecycle. Guided by our vision, you will design intelligent systems that tap into user context across an interconnected tool stack to deliver a variety of features, AI and non-AI supported. You will build foundational context layers, robust security architecture, and autonomous agents that orchestrate complex processes, setting the standard for how humans and AI collaborate within our unified platform.

What

You Will 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, building reusable, user-friendly full-stack components (including conversational and chat-based UI/UX) using Vue.js, Node.js, and MongoDB.

  • 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 (evals), strict schemas for tool calling, and "human-in-the-loop" safety fallbacks. Drive organizational learning by providing mentorship and codifying standard engineering and AI patterns into the codebase.

What Is The Technology Stack?
  • Frontend:
    Vue.js, Tailwind CSS, and a modern design system for a consistent, intuitive user experience

  • Backend:
    Node.js (Type Script) with Express, MongoDB, and NATS, built for scalability and modularity

  • AI/LLMs:
    State-of-the-art models (e.g., from OpenAI, Anthropic) and frameworks like Lang Chain and Lang Graph for stateful agent orchestration; implementation of advanced RAG architectures, vector databases, and observability tools (e.g., Lang Smith)

  • AI Developer Tooling:
    Extensive use of AI tools such as Cursor, Code Rabbit, and Deep Research to accelerate learning, automate repetitive tasks, and rapidly prototype and iterate on solutions

  • Infrastructure & Testing:
    Docker and AWS; automated testing using Playwright, Vitest, Mocha/Chai, alongside dedicated AI evaluation frameworks (LLM-as-a-judge)

  • Analytics &

    Collaboration:

    Mixpanel, Sentry, Datadog, Git Hub, Notion, and async communication tools for transparent teamwork

You'll Be A Good Fit If You:

Core Engineering & Product Leadership

  • 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,…

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