As a Staff Engineer, you will help drive the technology and implementation strategy to directly help hosts run their business day-to-day, proactively engaging with a wide range of teams and cross-functional partners to achieve your goals.

Your expertise will be crucial in exploring problem spaces, devising solutions to customer problems, and influencing product strategy.

In this role, you will:

• Work with product and ML engineers to explore problem spaces and devise solutions to customer problems
• Prototype new ideas and influence the product strategy
• Proactively collaborate with other engineering teams to develop an iterative plan to improve our APIs and architecture
• Collaborate with other product engineers and partners to develop backend to support data and AI solutions
• Create technical and execution strategies for new projects and drive hands-on implementation of those solutions
• Identify areas for improvement and champion the adoption of best practices in product development, engineering architecture, and testing
• Perform technical design reviews and code reviews
• Mentor and grow more junior engineers

If you have 10+ years of industry experience, experience leading teams, setting technical direction, building & launching high-impact user-facing products, and influencing partners such as designers and product managers as well as other engineering teams, we'd love to hear from you.

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager.

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Your work will shape GitLab's enterprise security posture in the rapidly growing software supply chain security market. You'll focus on SLSA Level 3 compliance, secrets management, CI/CD security hardening, and the foundations of GitLab's global zero trust architecture.

Some examples of our projects:

• SLSA Level 3 compliance and provenance attestation across GitLab's CI/CD platform
• Integrated secrets management and runner security for container-isolated, secure pipelines

You'll lead the end-to-end software supply chain security architecture for GitLab's CI/CD platform, including SLSA Level 3 implementation and CI infrastructure hardening. You'll drive cross-team technical strategy and decisions across our Software Supply Chain Security (SSCS) stage teams, aligning engineering work to SSCS strategic plans.

You'll collaborate with infrastructure and CI/CD teams to design and land long-term initiatives for secure, scalable runner architecture, container isolation, and pipeline security at scale. You'll propose and validate technical implementations that support architectural changes to improve CI/CD scaling and performance on critical paths.

You'll teach, mentor, and coach Staff Engineers and individual contributors, raising the bar on supply chain threat modeling, secrets management, artifact signing, and SBOM lifecycle practices.

You'll partner with Engineering Managers and senior leadership to define roadmaps, break down complex initiatives, and enable Staff Engineers to lead sub-department-wide efforts.

You'll engage with customers and external stakeholders as a technical consultant and spokesperson for GitLab's software supply chain security capabilities and roadmap.

You'll collaborate with product, security, and compliance stakeholders to ensure features meet enterprise security, governance, and regulatory expectations in the software supply chain security market.

Key responsibilities include:

• Providing architectural leadership across multiple engineering teams
• Shaping GitLab's enterprise security posture in the rapidly growing software supply chain security market
• Focusing on SLSA Level 3 compliance, secrets management, CI/CD security hardening, and the foundations of GitLab's global zero trust architecture

Key requirements include:

• Deep expertise in software supply chain security, including threat modeling for supply chain attack vectors, SLSA implementation and attestation systems, and SBOM generation and lifecycle management
• Strong knowledge of artifact signing and verification using the Sigstore ecosystem, including Cosign, Fulcio, Rekor, and in-toto attestations
• Experience designing and hardening CI/CD security, such as runner isolation, pipeline security controls, and secrets management in large-scale environments

Preferred qualifications include:

• Background in distributed systems and infrastructure, including building resilient CI/CD platforms that process high pipeline volumes and optimizing performance for critical paths
• Practical experience with container security and Kubernetes security, including admission controllers, policy controllers, workload isolation, and registry hardening
• Proficiency in Go or Rust in a production environment, combined with expert-level understanding of CI/CD workflows and DevSecOps best practices
• Experience operating as a Principal or Staff Engineer across multiple development teams, providing architectural leadership and partnering with Engineering Managers and senior leaders
• Demonstrated capacity to clearly communicate complex problems and solutions

Our Software Supply Chain Security stage engineering teams are responsible for authentication and access within GitLab. We also build features that help customers manage vulnerabilities, dependencies, security policies, and compliance frameworks across their organizations.

The base salary range for this role's listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits.

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Mistral AI is seeking a senior/staff forward-deployed machine learning engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges.

The applied AI engineer is an integral part of our applied AI engineering team, which is dedicated to driving the successful deployment of Mistral AI products and building complex enterprise use-cases.

Responsibilities

• Deploy into production use cases with a considerable business impact across various industries.

• Work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation.

• Collaborate with our researchers, other AI engineers, product engineers on our most complex customer projects involving complex fine-tuning, state-of-the-art LLM applications, and contributing to our open-source codebases.

• Involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations.

• Provide technical guidance on our products and explain Mistral technologies to various stakeholders.

• Collaboration with our product and science team to improve continuously our product and model capabilities based on customers' feedback.

About You

• Fluency in English.

• Hold a PhD/master in AI/data science or self-made.

• 7-10+ years as a technical individual contributor (data scientist or software engineer) on AI-based products.

• Experience in fine-tuning LLMs, tackling advanced RAG or agentic use cases.

• Deep understanding of concepts and algorithms underlying machine learning and LLMs.

• Deep understanding of cloud infrastructure and how to deploy AI-based products.

• Deployed or built products with large-scale user bases.

• Strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences.

Benefits

• Competitive cash salary and equity.

• Health insurance.

• Sport: $90 for gym membership allowance.

• Food: $200 monthly allowance for meals (solution might evolve as we grow bigger).

• Transportation: $120/month for public transport or parking charges reimbursed.

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