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Product Engineer; d​/f​/m

in 10115, Berlin, Berlin, Deutschland
Unternehmen: Leapsome
Vollzeit position
Verfasst am 2026-06-04
Berufliche Spezialisierung:
  • Software Entwicklung
    Full Stack Entwickler, Software-Ingenieur, Cloud-Ingenieur - Software, Frontend Entwicklung
Gehalts-/Lohnspanne oder Branchenbenchmark: 80000 - 100000 EUR pro Jahr EUR 80000.00 100000.00 YEAR
Stellenbeschreibung
Stellenbezeichnung: Staff Product Engineer (d/f/m)

What is Leapsome? Leapsome is the AI‑powered people platform revolutionizing HR for modern teams. It drives HR excellence and empowers high‑performing teams by automating, connecting, and simplifying every HR process across the employee lifecycle—from onboarding and performance management to engagement and development. Built with ease of use in mind, our platform ensures high adoption by employees, managers, and People teams alike.

Our purpose is to make work fulfilling for everyone
, and our vision is to reshape the future of work by being the leading People platform for HR excellence and high‑performing teams. We enable companies to create environments where people can achieve their goals, learn and grow together, and build genuine motivation and engagement.

Trusted by thousands of organizations globally, Leapsome secured $60 million in Series A funding led by Insight Partners in March 2022. This funding allowed us to further develop our intelligent platform, create exceptional employee experiences, and expand into the US market. It’s an incredibly exciting time to join Leapsome and be part of reshaping the future of work!

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 Lead 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 Mongo

    DB.
  • 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, 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.
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, Mongo

    DB, and NATS, built for…
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