HC
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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