About the job offer

Neuralk-AI is seeking an experienced Deployment Strategist to lead the integration of our solution into client ecosystems.

You will report to both founders CEO and CSO of Neuralk and will be located in our Paris offices.

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About Neuralk

We are a passionate team leading the way in AI innovation, committed to driving the rapid adoption of transformative AI applications in the Industry. Our focus is on developing a Agent based on Tabular AI to allow any company to build AI applications that natively interact with their structured databases (tabular). Specifically, we develop a modern AI workflows platform that automatically solve your use-cases with state-of-the-art performance without custom training on your data. 

As an early-stage AI-driven startup backed by significant funding ($4M), our AI-agent is powered by our proprietary Tabular Foundation Model, driving practical business solutions from research. We value clear communication and simplicity in our approaches, promoting a constant optimization mindset.

Join Neuralk to be part of a growing team, eager to learn and adapt, united by the belief that our technology can make a significant positive impact and contribute to transforming the AI industry.

Co-founders: Alexandre Pasquiou (CSO) & Antoine Moissenot (CEO).

Neuralk is dedicated to equal opportunity employment and fosters an environment that is open and respectful of diversity. All applicants are encouraged to apply. If you have passion for our mission, learn quickly and believe you can contribute, we want to hear from you.

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Mission Highlights

As a Deployment Strategist at Neuralk, you'll be on the frontlines of turning our AI platform into real-world impact. You’ll work hand-in-hand with strategic clients to deliver end-to-end AI workflows — from raw data to actionable predictions — using our API. Your responsibilities will span the full deployment lifecycle: scoping business needs, aligning data strategy, orchestrating pipeline integration, and driving adoption across teams. You’ll serve as the bridge between technical capabilities and business objectives — part strategist, part solution architect, and part project lead. This role offers a unique opportunity to shape how cutting-edge AI is applied in real-world retail environments — influencing both client success and the future direction of our product.

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Role & Responsibilities

As a Deployment Strategist at Neuralk-AI, you’ll sit at the intersection of client strategy, data product delivery, and technical implementation. Your mission: help our most strategic partners turn raw commerce data into measurable business value through our tabular AI platform. You’ll work directly with client teams to understand their goals, scope high-impact use cases, and orchestrate end-to-end deployments powered by our API. You are both a builder and a problem-solver — with a product mindset and the ability to translate technical capabilities into real-world outcomes. You will be responsible for:

• Client Success & Strategic Impact: Own the full deployment lifecycle, from use case scoping to production rollout. Serve as the primary technical partner — helping define workflows, align on business KPIs, and ensure measurable value is delivered.
• Project Delivery & Management: Scope work, lead technical planning sessions, sequence execution, manage priorities, track progress, and ensure clear communication across stakeholders.
• Cross-Functional Collaboration: Bridge product, engineering, and customer teams to ensure a smooth, aligned deployment experience. Translate field feedback into actionable insights that shape our product roadmap.
• Customer Enablement & Support: Onboard client teams and provide ongoing support through documentation, training, and guidance — driving product adoption across technical and non-technical users.
• Client Deployment & Integration: Customize, configure, and deploy Neuralk-AI’s API in cloud, on-premises, or hybrid environments. Design scalable, secure architectures integrated with client infrastructure, partnering with our technical team.
• Solution Prototyping & Customization: When needed, design and prototype tailored technical solutions — often full-stack — using tools like Python, React/Next.js, Node.js, APIs, and cloud platforms (AWS, GCP, Azure).
• Continuous Improvement: Gather and relay real-world deployment insights to influence product evolution.

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Profile

• M.S in Computer Science, Machine Learning or a closely related field.
• 5+ years of experience with software development, engineering and technical deployment
• Strong Engineering background in Machine Learning (Evaluation, Training, Problem Decomposition)
• Experience working with data pipelines, APIs, and cloud infrastructure 
• Simplify complexity and make fast, sound decisions under pressure
• Communicate clearly with engineers, product teams, and customer stakeholders. Excellent communication skills in English.
• Thrives in a fast-paced, evolving startup environment.
• Self-starter and autonomous.

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Bonuses

• You have demonstrated experience in integrating product in custom client environment.
• Experience in developing and deploying in multi-cloud setup.
• Previous experience as a Deployment Strategist or similar role at Palantir or another vertical AI company

Expertise

• Software Development: Excellent software engineering skills in Python and C/C++, with experience in software development best practices, semantic versioning and version control systems such as Git.
• API & Backend: 3+ years building and maintaining production-grade APIs using frameworks like Flask, FastAPI, or Django REST Framework (Python).
• Deployment & Integration: Strong understanding of multi-environment deployment strategies (cloud, on-premises, hybrid) and system integration challenges.
• Rapid prototyping mindset: Comfortable iterating quickly, shipping MVPs under ambiguity, and adapting based on feedback.
• Data Management and Storage: Knowledge of various database formats (including SQL and NoSQL databases), data warehousing solutions, and data management best practices.
• Scripting & Automation: Comfortable writing maintainable Bash/Shell scripts for automation and operational tasks.
• Communication & Collaboration: Excellent communication skills to serve as a technical liaison between client teams and internal engineering/product teams.‍
• Frontend Development: Experience (3+ years) building interactive, component-driven front-end applications using TypeScript and React (Optional).