Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Communication @ 7
Prioritization @ 4
Product Management @ 4
AI @ 4
Agentic AI @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
GitLab is the intelligent orchestration platform for DevSecOps. This role focuses on the core AI agent orchestration platform and shaping foundational capabilities such as agent context, agent memory, background agents, and orchestration workflows. The team embraces AI as a core productivity multiplier and expects team members to incorporate AI into daily workflows.
Responsibilities
- Define and drive product strategy for GitLab's AI agent orchestration platform, prioritizing core platform capabilities that support agentic workflows.
- Partner closely with Engineering and Design to identify product opportunities, prioritize platform investments, and guide execution from concept through delivery.
- Translate complex technical areas such as agent context, agent memory, and background agent behavior into clear product requirements and roadmap decisions.
- Work across teams to align platform direction with broader GitLab AI initiatives and ensure orchestration capabilities can support a range of use cases.
- Use product management best practices to drive discovery, clarify problem statements, and create shared understanding among stakeholders.
- Communicate product vision, priorities, and decisions clearly to cross-functional partners and help teams stay focused on the highest-impact work.
- Contribute as a senior product leader by bringing structure to ambiguity and helping shape how GitLab builds AI-native platform capabilities.
Requirements
- Deep experience in product management, including ownership of complex technical products or platforms from early definition through iteration and delivery.
- Previous agentic AI product management experience, with strong familiarity in areas such as AI orchestration, agent memory, agent context, and related platform concepts.
- Strong product judgment and the ability to work effectively in ambiguous, fast-evolving spaces where requirements and patterns are still emerging.
- Experience partnering with technical teams to shape platform products and translate sophisticated system behavior into clear priorities and requirements.
- Ability to think strategically about platform design while staying close to execution details that affect product quality and usability.
- Strong written and verbal communication skills, with the ability to explain technical AI concepts clearly to a range of stakeholders.
- A structured approach to product discovery, prioritization, and decision-making, grounded in sound product management fundamentals.
- Demonstrated ability to learn quickly, adapt product decisions as AI capabilities evolve, and stay current with changes in the AI landscape.
About the team
You'll be part of GitLab's AI Product Management team, working at the intersection of product, engineering, and design to solve new problems in a fast-evolving area of AI and DevSecOps. The work is collaborative and technical, focused on turning emerging needs into clear priorities and thoughtful execution.
Compensation (United States)
- Base salary range for residents of the United States: $168,000 - $285,600 USD
Benefits
- Benefits to support your health, finances, and well-being
- Flexible Paid Time Off
- Team Member Resource Groups
- Equity Compensation & Employee Stock Purchase Plan
- Growth and Development Fund
- Parental Leave
- Home Office Support
Additional information
- Remote role for United States residents (GitLab hires in countries around the world; some roles may carry location-based eligibility requirements).
- Privacy Policy and recruitment information provided in GitLab's handbook.
- GitLab is an equal opportunity employer and provides reasonable accommodation during the recruiting process.