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PALO IT

AI-first consultancy accelerating digital product delivery

Head of Engineering

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeÎle-de-France, FranceNo salary listed

About the Job

Requirements

  • Bring 12+ years of software engineering experience, including significant leadership of an engineering organisation or practice, such as VP Engineering, Head of Engineering, Head of Tech, or CTO of a scale-up.
  • Have delivered production-grade AI-first systems, LLM integration, RAG pipelines, and agent orchestration; understand token economics and use AI coding assistants while continuing to code.
  • Have led delivery in complex, client-facing environments such as consulting, embedded squads, or platform modernisation, with real users, constraints, and accountability.
  • Have a track record of developing people and scaling engineering practices through mentorship, community-building, and hands-on AI adoption.
  • Think in systems and document architecture decisions under uncertainty, architecture decision records, and standards that make quality reproducible.
  • Be fluent in communication from engineering stand-ups to leadership forums.
  • Lead with care and accountability in a psychologically safe environment while maintaining high expectations.
  • Read team signals including engagement, workload imbalance, burnout risk, retention risk, and under-utilisation, and act with care, clarity, and accountability.
  • Embed sustainability, accessibility, and responsible AI in engineering work.
  • Be comfortable partnering with Human Resources on hiring strategy, interviews, portfolio reviews, offer decisions, and talent-pipeline building through community engagement and events.
  • Be bilingual in French and English; English is mandatory for client and international collaboration.

Responsibilities

  • Deploy the technology roadmap defined by the CTO, including architecture governance, AI governance, and factory standards for agents, prompts, rules, and pipelines across squads.
  • Own delivery token economics, balancing model cost, latency, and quality across squads.
  • Arbitrate divergences above Lead Engineer level, challenge local decisions, identify systemic technical debt, and maintain engineering standards as execution becomes increasingly agentic.
  • Serve as the senior technical authority on complex client engagements, designing AI-first architectures and delivering them through production.
  • Step in as Tech Lead on client projects when required to ensure continuity and quality.
  • Define and enforce engineering standards for continuous integration and continuous delivery practices, code reviews, incident management, and security posture across squads.
  • Own technical incidents and escalations, including clear ownership and post-mortems.
  • Directly manage Forward Deployed Engineers and, later, AI Tech Leads, including their growth, performance, workload, and career paths.
  • Own engineering community rituals, including critiques, showcases, community days, learning circles, and the shared knowledge base.
  • Connect engineers across projects, surface reusable patterns, and turn field learnings into shared standards.
  • Set community norms and health signals, champion psychological safety, experimentation, wellbeing, and sustainable pace, and run pulse checks to identify issues early.
  • Create mentorship structures and learning pathways for Senior Engineers and Forward Deployed Engineers, and grow the technical leadership bench.
  • Operate the hiring process for engineering roles, including sourcing strategy, interviews, technical assessments, and recommendations to the CTO.
  • Partner with delivery and staffing teams to maintain capacity and utilisation visibility, support staffing decisions, and turn bench time into learning, research and development, or community contributions.
  • Feed learnings from live engagements into Gen-e² standards, artefacts, prompts, and learning paths in collaboration with international teams.
  • Produce and own engineering key performance indicators for velocity, quality, incident rate, technical debt, and team health, and report regularly to the CTO.
  • Represent the engineering practice in leadership forums and working groups, communicate team health and needs, escalate risks promptly, and uphold company values, confidentiality, information security, and professional standards.
  • Contribute to pre-sales through technical scoping, estimation, proposal input, and executive-level advisory to keep commercial commitments grounded in production-grade engineering.

Desired Qualifications

  • Cloud architecture certifications such as AWS Solutions Architect or GCP/Azure Professional certifications.
  • Public speaking or publications on AI-first delivery.

About the Company

PALO IT

AI-first consultancy accelerating digital product delivery

Palo IT is a global AI-first technology consultancy that accelerates the delivery of digital products and modernizes platforms through a trademarked engineering approach. It combines AI-powered methods with proven engineering practices to help clients ship software faster and more reliably. Palo IT differentiates itself by its ethical focus and credibility, being a World Economic Forum New Champion and a B Corp-certified organization, which reflect its commitment to responsible business practices. The company aims to help organizations transform their technology stacks and digital products in a way that balances speed, quality, and sustainability.

Company size
501-1,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Paris, France
Founded
2009

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