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Head of Software Engineering (Backend) Netherlands +7-10 years of experience backend engineering Software Engineer python +1

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Summary

Hands-on Head of Software Engineering (Backend) leading an AI-driven hiring platform in the Netherlands through an AI-native transformation: evolving its Python/React codebase and semantic search into an intelligence layer, embedding AI-assisted development, and raising engineering standards across CI/CD, testing, and team mentorship.

About the company

An AI-driven hiring platform that connects highly skilled professionals with employers across multiple regions. The platform covers the entire hiring lifecycle — search and candidate matching, scheduling, contracts, timesheets, invoicing, and payments — and supports freelance, payroll, and permanent engagements. Its core capability is a semantic search and matching engine that emphasizes real skills and context rather than keyword matching. Profiles are anonymized by design in early screening to promote fair, expertise-based decisions. The Company is now focused on strengthening engineering foundations, restructuring the codebase, and embedding AI as a core part of product and development practices.

Role summary

We are seeking a Head of Software Engineering who views AI as a fundamental evolution in software development. This hands‑on leadership role will guide the engineering organization through an AI-native transformation: defining architecture, raising engineering standards, and delivering high-quality execution. You will be closely involved with the codebase, form strong technical opinions, and translate them into a clear roadmap and deliverables.

Key responsibilities

  • Define and drive the technical vision for an AI-native platform, spanning semantic search, platform-wide intelligence, and engineering workflows
  • Evolve the semantic search into an intelligence layer that delivers ranking, insights, and continuous learning across the product
  • Lead adoption of AI-assisted development practices (code generation, refactoring, test creation, code review) across the engineering lifecycle
  • Ensure engineering quality across backend (Python), frontend (React), CI/CD, testing, and repository structure
  • Establish and enforce execution discipline: improve planning accuracy, scope management, and review culture
  • Grow and mentor engineering teams, reduce single points of failure, and cultivate constructive feedback practices
  • Recruit engineers with strong expertise in AI-native development
  • Communicate technical direction and trade-offs clearly to product and business stakeholders

Target outcomes

  • A semantic search engine that functions as the platform’s intelligence layer, understanding intent and improving through usage
  • A structured AI-assisted development program integrated into daily engineering workflows
  • An engineering organization that moves faster while maintaining high quality, with strong standards and well-defined practices

Candidate profile

  • Extensive senior engineering experience with backend systems and production architecture (strong Python background)
  • Practical experience with semantic search, vector search, or NLP-driven matching systems
  • Hands‑on experience implementing AI-assisted development tools and workflows at team scale
  • High engineering standards and a track record of mentoring and developing engineering talent
  • Proven ability to scale and lead engineering teams while preserving delivery velocity
  • Clear understanding of how AI impacts engineering quality, risk, and workflows
  • Strong expertise in CI/CD, testing strategy, and refactoring discipline
  • Direct, precise communicator capable of aligning engineers and business stakeholders

What’s offered

  • Full ownership of engineering direction in a high-impact leadership role
  • Opportunity to build a product with a real-world, ethical focus on skills‑based hiring
  • The chance to shape a codebase at an inflection point rather than inheriting a mature system
  • Executive support for engineering‑led decisions and culture change
  • The opportunity to define and embed an AI‑native engineering culture from the ground up
  • Hybrid work model with on‑site presence most of the week (office‑first expectations)
  • Competitive salary, travel reimbursement, equity participation, and regular team benefits (meals and events)

If you’re motivated by shaping an AI-native engineering organization and raising the technical bar on a mission‑driven product, this is a rare opportunity to lead that transformation.

Skills

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See also

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