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VP / Head of Engineering

H Company

Paris · Hybrid Contract Executive 3w ago

About the role

VP / Head of Engineering

About H

H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential.
H is hiring the world’s best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute.

Responsibilities

  • Own, review, and challenge the end-to-end architecture of our product and research stack, including inference systems and the agent platform.
  • Scale and lead the Product Engineering, Infrastructure, and Inference teams, with clear ownership, execution rigor, and strong technical standards.
  • Partner closely with Product, Research, and Leadership to translate strategy into reliable, scalable systems.

Must-have experience

  • Proven track record building and scaling a production SaaS platform.
  • Strong hands‑on experience with AWS, Docker, Kubernetes, Redis, and modern observability tooling (e.g. Datadog).
  • Exposure to MLOps, large‑scale model training, inference systems, or LLM‑based reinforcement learning.
  • Experience operating multi‑tenant systems with high reliability, security, and performance.
  • Experience building and deploying enterprise platforms self‑hosted or on‑premise.
  • Familiarity with SOC 2 or similar compliance frameworks in a production environment.

Nice-to-have experience

  • Experience orchestrating compute‑intensive workloads (training and/or large‑scale inference).
  • Familiarity with workflow orchestration platforms.

Location

  • Paris or London.
  • This role is hybrid, and you are expected to be in the office 3 days a week on average.
  • Please expect some travel between offices on a reasonable cadence (e.g., every 4‑6 weeks).

What We Offer

  • Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups.
  • Collaborate with a fun, dynamic, and multicultural team, working alongside world‑class AI talent in a highly collaborative environment.
  • Enjoy a competitive salary.
  • Unlock opportunities for professional growth, continuous learning, and career development.

If you want to change the status quo in AI, join us.

Requirements

  • Proven track record building and scaling a production SaaS platform.
  • Strong hands-on experience with AWS, Docker, Kubernetes, Redis, and modern observability tooling (e.g. Datadog).
  • Exposure to MLOps, large-scale model training, inference systems, or LLM-based reinforcement learning.
  • Experience operating multi-tenant systems with high reliability, security, and performance.
  • Experience building and deploying enterprise platforms self-hosted or on-premise.
  • Familiarity with SOC 2 or similar compliance frameworks in a production environment.

Responsibilities

  • Own, review, and challenge the end-to-end architecture of our product and research stack, including inference systems and the agent platform.
  • Scale and lead the Product Engineering, Infrastructure, and Inference teams, with clear ownership, execution rigor, and strong technical standards.
  • Partner closely with Product, Research, and Leadership to translate strategy into reliable, scalable systems.

Benefits

professional growthcontinuous learningcareer development

Skills

AWSDatadogDockerKubernetesLLMMLOpsRedis

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