cto

TECHNICAL CO-FOUNDER / CHIEF TECHNOLOGY OFFICER (CTO)

About QUANTHRONEX

QUANTHRONEX is a Paris-based deep tech company developing breakthrough innovations across energy, financial infrastructure, and advanced computing.

Paris | Europe | International

Role Overview:

We invite you to join us as our founding CTO, where you'll lead the technical development of a pioneering solution with a filed patent and established market validation. We are in search of a forward-thinking technical leader who can drive execution and scale our growth.

Offer, Compensation & Benefits:

As our CTO, you'll have the chance to play a crucial role in shaping the company's future. Successfully managing technological endeavours will lead to:

• Competitive Compensation: Attractive salaries and comprehensive compensation packages that exceed industry norms (initially equity-based; exceptional salary to be activated upon funding).
• Performance Bonuses: Attractive, performance-based bonuses to acknowledge your contributions.
• Equity Ownership: Become a key stakeholder in revolutionary ventures and share in the company's success.
• Global Opportunities: Travel across Europe, GCC, Asia, and North America to make an impact on international markets and build strategic partnerships.
• Challenging Projects: Take part in stimulating projects that challenge and expand the frontiers of technology and innovation.
• Health and Wellness: Comprehensive health, dental, and vision insurance plans to support your well-being.
• Generous Paid Time Off: Enjoy flexible time-off policies that promote a healthy work-life balance, with a minimum of 25 days annually to recharge and rejuvenate.
• Research and Development Budget: Dedicated funding for attending conferences, publishing research, and ongoing learning to keep you at the forefront of your field.
• Remote Work Options: Flexibility to work remotely, with periodic in-person collaboration to enhance team cohesion.

Your mission:

• Architect and build the core platform from patent to product
• Deliver MVP and first customer proof-of-concepts
• Build and lead the founding engineering team
• Establish technical processes, standards, and engineering culture
• Lead technical strategy through seed funding and beyond
• Represent QUANTHRONEX to investors, partners, and customers

Required Qualifications:

MUST-HAVE SKILLS

ML/AI Implementation & Causal AI

• 7-10 years hands-on experience building advanced ML systems in production with PyTorch or TensorFlow
• Deep expertise in causal inference methodologies and techniques., probabilistic modelling, or Bayesian methods
• Strong foundation in probabilistic graphical models and statistical inference
• Optimization algorithms: Implementing numerical optimization methods (convex, gradient-based, or meta-heuristics)
• Validation & testing: Rigorous performance measurement, benchmarking, and statistical validation frameworks
• MLOps: model versioning, training pipelines, deployment, monitoring, GPU orchestration

Complex Domain Experience (Strongly Preferred)

• Advanced forecasting systems or predictive modelling in complex operational domains (energy, finance, telecom, transportation, scientific computing)
• ML acceleration for scientific computing: physics-informed ML, GNNs, neural ODE solvers, or simulation frameworks
• Practical usage of DoWhy, CausalML, EconML, or equivalent
• Academic research or publications involving causality or probabilistic methods

Platform & Cloud Architecture

• 8+ years building production backend systems in Python (NumPy, SciPy, Pandas) + C++ and/or Rust for performance-critical components
• Data integration: Working with real-world operational data at scale (messy, streaming, high frequency)
• Deep AWS or GCP expertise: multi-region architecture, Infrastructure as Code (Terraform/Pulumi), Kubernetes
• Real-time data & streaming architecture: Designed platforms for 100k+ telemetry streams with sub-100ms latency; expertise in event-driven patterns, time-series analytics, and distributed state management
• API design: REST, WebSocket, gRPC, OAuth 2.0, mTLS

Customer-Facing Technical Skills

• Experience developing MVPs with early design partners: rapid iteration, technical co-development, customer feedback integration
• Proven ability to conduct technical sales conversations with professionals from the energy and finance sectors, as well as engineering teams and C-level executives.
• Track record building demos, POCs, and pilot architectures that convert prospects to signed customers
• Background in regulated industry (energy, finance, telco) with enterprise security/compliance requirements

IP Execution & Technical Translation

• Experience translating patent specifications, academic research, or complex technical designs into production systems
• Ability to conduct technical gap analysis between theoretical claims and practical implementation
• Track record building systems that validate novel technical approaches

Leadership & Execution

• Engineering team leadership experience
• Hands-on coder: 50%+ coding expected in Year 1
• Strong project delivery track record
• Investor-facing communication capability
• Strategic mindset for international scale-up

Required Background (One of the Following):

• Education: MSc or PhD (preferred) in Computer Science, Machine Learning, Applied Mathematics, or related field
• Experience: 8+ years software engineering, 7+ years ML engineering, 5+ years technical leadership

Language:

Mandatory: Fluency in English AND at least one of the following:

• French (native or professional proficiency)
• German (native or professional proficiency)

At QUANTHRONEX, we believe diversity drives innovation. Applications from women are strongly encouraged for this leadership position.

We welcome exceptional talent regardless of location. visa sponsorship available for outstanding candidates.

Enhance your experience by following our page for the latest updates and insights: QUANTHRONEX . Don't miss out on what's next

Job Type: Full-time

Pay: From 95,000.00€ per year

Ability to commute/relocate:

• 75013 Paris: Reliably commute or willing to relocate with an employer-provided relocation package (Preferred)

Application Question(s):

• Have you implemented probabilistic graphical models (Bayesian networks, Markov random fields) in a production system?
• Do you have deep production experience with AWS or GCP multi-region deployments using Infrastructure-as-Code (Terraform/Pulumi)?
• How many years of work experience do you have with Python (Programming Language)?
• Are you willing to undergo a background check, in accordance with local law/regulations?
• Can you implement do-calculus or a Structural Causal Model from first principles without external resources?
• How many years of work experience do you have with Causal Inference?
• Do you have experience creating statistically rigorous benchmarking frameworks for ML model validation?
• Have you built and operated MLOps pipelines including model versioning, training, deployment, and monitoring?
• How many years of work experience do you have with PyTorch?

Education:

• Doctorate (Preferred)

Language:

• ENGLISH (Required)
• FRENCH (Required)
• GERMAN (Preferred)

Willingness to travel:

• 50% (Preferred)

Work Location: Hybrid remote in 75013 Paris, France

Expected Start Date: 02/03/2026