Alice Bob
Alice Bob5h ago
New

Head of IT & Machine Learning Ops

FranceFrance·ParisCDIexecutive
Machine LearningData & AI
0 views0 saves0 applied

Quick Summary

Overview

Alice & Bob is developing the first universal, fault-tolerant quantum computer to solve the world’s hardest problems.

Technical Tools
Machine LearningData & AI
Alice & Bob is developing the first universal, fault-tolerant quantum computer to solve the world’s hardest problems.
The quantum computer we envision building is based on a new kind of superconducting qubit: the Schrödinger cat qubit 🐈‍⬛. In comparison to other superconducting platforms, cat qubits have the astonishing ability to implement quantum error correction autonomously!
 
We're a diverse team of 200+ brilliant minds from over 30 countries united by a single goal: to revolutionise computing with a practical fault-tolerant quantum machine. Are you ready to take on unprecedented challenges and contribute to revolutionising technology? Join us, and let's shape the future of quantum computing together!

We are looking for a Head of IT & MLOps to lead the systems, infrastructure, tooling, security, and operational practices that allow our teams to move fast without compromising reliability, confidentiality, or scientific excellence.

Reporting to the COO, you will lead a ~20-person organization built around two teams, IT and MLOps, each with a Head already in place. The IT team covers Corporate IT, Cloud & Infra Ops and Cybersecurity, while the MLOps team enables researchers and engineers to develop, deploy, monitor, and reproduce data and model-driven workflows.

You will work closely with Software, Firmware, Calibration, Quantum Hardware, Data, Security, People, Finance, and Executive Leadership teams to turn operational needs into robust, scalable, and elegant systems.

Your role is to create leverage for the entire company: enabling scientists to iterate faster, engineers to deploy with confidence, employees to work seamlessly, and leadership to make decisions based on reliable data and robust operations. You will build systems that can scale with Alice & Bob's ambition through 2030 and beyond.

- Lead and grow the IT & MLOps organization Manage two Heads of (IT and MLOps) and their respective teams. Define team structure, operating rhythms, hiring roadmap, and performance standards as the organization scales toward and beyond 20 people.

- Own IT strategy and operations Set the direction for workplace technology, identity and access management, endpoint management, SaaS administration, support operations, asset lifecycle, vendor management, procurement, and documentation. Ensure a consistent, reliable IT experience across Paris, Aubervilliers, and remote contexts.

- Build ML tooling and infrastructure for internal teams Define and execute the MLOps strategy serving researchers, engineers, calibration, and data teams. Deliver reproducible experiment pipelines, version and data management, CI/CD for ML workflows, observability, and model lifecycle tooling, calibrated to the realities of a quantum hardware environment.

- Own infrastructure, reliability, and security Lead the evolution of internal infrastructure across cloud, on-premise, lab-adjacent systems, networks, storage, and compute environments. Support data-heavy and experiment-driven workflows, including interfaces with software, HPC clusters, and lab systems. Lead the implementation of security controls, access governance, endpoint security, incident response, and business continuity. Drive ISO 27001, NIS2, and related compliance efforts. Protect Alice & Bob's intellectual property through enforceable, scalable, and non-blocking security practices.

- Act as operational technology partner to the COO Own the IT & MLOps roadmap, budget, and KPIs. Surface risks, infrastructure gaps, and capability investments to executive leadership. Translate operational complexity into clear decisions.

0+ years of experience in a relevant technological field, with demonstrated experience managing managers and structuring multi-team organizations.

Strong IT operations foundation: identity and access management, endpoint lifecycle, SaaS stack administration, support operations, vendor management, and security controls at scale.

Solid Cloud & Infrastructure Operations background: multi-cloud architecture and cost governance, infrastructure-as-code, container orchestration, network and storage management, reliability engineering, and capacity planning across production and research environments.

Hands-on Cybersecurity expertise: threat detection and incident response, vulnerability management, security architecture review, compliance frameworks, data protection controls, and embedding security practices across engineering and operational workflows.

Proven MLOps or ML infrastructure experience: reproducible pipelines, experiment tracking, data and model versioning, CI/CD for ML workflows, and observability in research and engineering environments.

Ability to operate across a technically diverse organization: PhD-level researchers, hardware engineers, software engineers, and business stakeholders. You are comfortable with ambiguity, but you do not let ambiguity become chaos: you create structure, make trade-offs explicit, and drive decisions.

Strong execution discipline: roadmap ownership, budget management, prioritization under constraint, measurable delivery. You can zoom out to define strategy and zoom in to debug a process, challenge an architecture, or unblock a team.

You combine a strong service mindset with the ability to enforce standards. You care deeply about user experience, and you know when pragmatism must give way to rigor.

Fluent in French & English.


Nice to have:

Experience in deeptech, quantum, semiconductor, aerospace, HPC, or another R&D-intensive hardware environment.

Experience supporting scientific computing environments: GPU/CPU clusters, SLURM, Kubernetes, distributed systems.

Experience managing IT operations across multiple sites.

Experience with AI tooling governance and secure adoption of LLM tools within a technical organization.

Benefits:
 
- Our success is your success: own it with our BSPCE plan
- Direct IP Compensation: Earn substantial bonuses for driving the core patents that define our quantum architecture.
- Flexible remote policy, up to 40 % a month
- A Parental plan including additional benefits such as crèche support or additional days-off to take care of under 12 years old children
- Subsidized membership with Urban Sports Club
- Mental health support with moka.care
- 25-day vacation policy (as per French law) + RTT
- Half of transportation cost coverage (as per French law), or yearly allowance for the die-hard bicycle users
- Competitive health coverage, with Alan.
- Meal vouchers with Swile, as well as access to a fully equipped and regularly stocked kitchen
- French language courses covered by the company for those interested
 
 
Research shows that women might feel hesitant to apply for this job if they don't match 100% of the job requirements listed. This list is a guide, and we'd love to receive your application even if you think you're only a partial match. We are looking to build teams that innovate, not just tick boxes on a job spec.
 
You will join of one of the most innovative startups in France at an early stage, to be part of a passionate and friendly team on its mission to build the first universal quantum computer!
 
We love to share and learn from one another, so you will be certain to innovate, develop new ideas, and have the space to grow.

Location & Eligibility

Where is the job
Paris, France
Hybrid — some on-site time required
Who can apply
FR

Listing Details

Posted
June 2, 2026
First seen
June 2, 2026
Last seen
June 2, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
62%
Scored at
June 2, 2026

Signal breakdown

freshnesssource trustcontent trustemployer trust
Newsletter

Stay ahead of the market

Get the latest job openings, salary trends, and hiring insights delivered to your inbox every week.

A
B
C
D
Join 12,000+ marketers

No spam. Unsubscribe at any time.

Alice BobHead of IT & Machine Learning Ops