Staff Engineer, AI Developer Experience

GitGuardian

Paris

Hybride

EUR 90 000 - 130 000

Plein temps

14 jours+

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Avantages offerts par ce poste

BSPCE

Lunch voucher (Swile)

Wellpass (gymlib)

Health insurance for children

Home office grant (up to €300)

Yearly holiday allowance

Referral bonus (€4000)

Team building budget

Résumé du poste

GitGuardian is building an AI-driven Developer Efficiency platform in Paris, empowering 70+ engineers to zip through development with AI handles for routine tasks and humans focusing on judgment. You will design autonomous AI agents, define workflows, and co-own the AI toolchain roadmap with senior engineers and the CTO.

The role blends product thinking with deep technical AI dexterity in a fast-growing cybersecurity company.

Qualifications

Founder or early-stage operator background: built and shipped an AI product with direct user feedback.
Product mindset with technical depth: designs focus on actual user workflows.
Hands-on AI/LLM experience with agents/LLMs in production.
5+ years of technical experience; Python environments in the stack.
Ability to influence without formal authority; drive ideas successfully.
Structured, autonomous execution: research, propose, document, and complete with minimal oversight.
Fluency in English, written and spoken.

Responsabilités

Get an overview of ongoing initiatives and challenge and improve them.
Design and deploy background AI agents that autonomously handle engineering tasks.
Define prescriptive agent workflows and skills for teams to adopt and extend.
Improve the AI review pipeline.
Own the specs-to-production pipeline with automated workflows from design to merge-ready code.
Build faster feedback loops through better test generation and AI-assisted validation.
Consolidate AI practices into a pragmatic approach across teams.
Co-own the AI toolchain roadmap with Staff Engineers and CTO.
Join feature teams to keep the roadmap grounded in real constraints.

Connaissances

Founder background

Product-minded

AI/LLM experience

Python experience

Influence

Autonomous execution

English fluency

Outils

Claude API

OpenAI API

Description du poste

About GitGuardian

GitGuardian is a global cybersecurity scale-up. The company is based in Paris, New-York City, Boston.

Among our early investors who saw our market value proposition, we have the co‑founder of GitHub, Scott Chacon, along with Solomon Hykes, Docker's co‑founder. American and European top‑tier VC firms have also invested in GitGuardian.

GitGuardian leads the way in Non‑Human Identity security, offering end‑to‑end solutions from secrets detection in code, productivity tools and environments to strong remediation, observability and proactive prevention of leaks. Our solutions are already used by more than 600 K developers worldwide!

About Your Team And Your Mission

We are building the AI operating model that empowers 70+ engineers to ship faster without losing control of quality.

You will join our Developer Efficiency team and take ownership of one of the most ambitious projects we have in the company: moving our engineering processes and product development toward dark factory maturity, where AI handles the routine and humans focus on what requires judgment.

The objective is to design AI agents that code our products, build the specs‑to‑production pipeline that reduces lead time from idea to merge‑ready code, and co‑own the AI toolchain roadmap alongside our other Staff Engineers and CTO.

You will have a pragmatic view – based on your product‑oriented mindset – on how this should be built. You will have the liberty and authority to define the approach and drive it forward. The tools you ship will be used every day by 70 engineers. You will spend your first weeks as part of feature teams to understand their actual constraints, then design and ship systems that make their daily work meaningfully better.

Your Main Responsibilities Will Be

Get an overview of our ongoing initiatives, challenge and improve them.
Design and deploy background AI agents that autonomously handle specific engineering work: bug triage, diagnostics, patch suggestions, and code review.
Define prescriptive agent workflows and skills that teams can adopt and extend.
Improve our AI review pipeline.

Own the specs‑to‑production pipeline

Implement automated workflows from design/spec to merge‑ready code.
Build faster feedback loops through better test generation and AI‑assisted validation.
Consolidate individual and team‑level AI practices into a pragmatic, enforced approach: move from an artisanal one (Cursor + Claude Code per engineer) to a systematic one.

Co‑own the AI toolchain roadmap

Work directly with our Staff Engineers and CTO to define what gets built, in what order, and why.
Join feature teams on a regular basis to keep the roadmap grounded in real constraints.

About You

If you think you match at least 70% of these criteria, please apply!

Essential for Success in this Role

Founder or early‑stage operator background: you have built and shipped an AI product, talked directly to users, and dealt with real constraints. You know what it's like to ship fast, with no safety net. If you founded a company (failed or not) and spent time in a startup accelerator, that background makes you stand out here.
Product mindset with technical depth: before shipping a feature, you ask who uses this and why. You treat internal engineers as customers and design solutions for their actual workflows.
Hands‑on AI/LLM experience: you have developed with AI agents, LLM APIs (Claude, OpenAI, etc.), or agentic frameworks in production.
5+ years of technical experience, Python environments (our stack is Python + Django, TypeScript, Rust).
Influence without authority: you move people through ideas, prototypes, and clear thinking. You manage to build your solutions with a great balance between the vision of the Company and the needs of the teams.
Structured, autonomous execution: you can research a problem space, propose an opinionated solution, document it clearly, and drive it to completion with minimal oversight.
Fluency in English, written and spoken.

Additional Skills (Not Required)

Background in platform engineering or developer tooling.
Familiarity with CI/CD optimization.
Basic knowledge of DORA metrics or DX Framework.
Fluency in French.

Interview Process

At GitGuardian, we are committed to building a diverse, equitable and inclusive workforce. We will ask for your gender identity on the application page to help us understand the diversity of our applicant pool and to track our progress in attracting and hiring a diverse workforce. The information is optional and will not be disclosed to the hiring manager or the interview team and will not be considered in the hiring process. We appreciate your willingness to share this with us so that we can continue to improve our diversity, equity and inclusion efforts.

Video call with a Talent Acquisition team member.
Team interview / Interview with your future manager.
Technical interview.
Final interview with an Executive Manager.
References check (you can start thinking about two contacts who can attest to your previous or current professional experiences).

Benefits

Package that includes BSPCE.
Lunch voucher (Swile, 9€ at 50%).
Sponsored Wellpass (gymlib).
Non‑charged health insurance for children (Sidecare / Generali).
Up to €300 to improve your home office set‑up.
Yearly holiday allowance.
Referral bonus of 4000€ for any new Guardian we might hire thanks to you.
Team building: monthly budget dedicated to each employee that you can spend as you wish, with colleagues (latest examples to date: Michelin star restaurant, karaoke, stand‑up show, kitesurfing week‑end, ...).

Additional Information