Staff Product Engineer (d/f/m)

Leapsome
Berlin
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningSkills: ["Problem-solving","Leadership","Communication"]

Lead Product Engineer at Leapsome, anchoring a small engineering team to transition from reactive tools to proactive AI-enabled workflows across the employee lifecycle. You will design scalable AI-driven architectures, own end-to-end features, and build secure, modular full-stack components using Vue.js, Node.js, and MongoDB while mentoring others and shaping the platform’s AI strategy.

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Leapsome
Leapsome
4 months ago

Staff Product Engineer (d/f/m)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Lead Product Engineer at Leapsome, anchoring a small engineering team to transition from reactive tools to proactive AI-enabled workflows across the employee lifecycle. You will design scalable AI-driven architectures, own end-to-end features, and build secure, modular full-stack components using Vue.js, Node.js, and MongoDB while mentoring others and shaping the platform’s AI strategy.
Location: Berlin
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •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.

Key Requirements

  • •Must have strong experience leading end-to-end product development at a high-growth company.
  • •Proven track record designing architectural decisions that shape product outcomes and engineering systems.
  • •Deep expertise as a full-stack engineer with modern web frameworks (Vue.js, React) and backend technologies (Node.js, MongoDB).
  • •Hands-on experience shipping both standard web apps and LLM-powered applications (multi-agent orchestration, RAG pipelines).
  • •Ability to mentor teammates and foster a collaborative engineering culture while owning code quality and reviews.
Skills:Problem-solvingLeadershipCommunication
Tech Stack:Vue.jsTailwindCSSNode.jsExpressMongoDBNATSTypeScriptLangChainLangGraphRAGOpenAIAnthropicDockerAWSPlaywrightVitestMochaChaiCursorCodeRabbit

Company Brief

Leapsome
Provides an AI-powered people enablement platform combining HRIS, performance management, engagement surveys, OKRs, learning, and feedback to help organisations develop employees, improve manager adoption, and streamline people operations.
Industry: HR Tech
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Funding: Series A
Headquarters: Berlin, Germany
Founded: 2016
Glassdoor
Glassdoor: 3.9
WebsiteLinkedInGlassdoor