At a Glance
- Tasks: Lead a team to revolutionise software development with AI-driven tools and processes.
- Company: Join Gravitee, a Gartner Magic Quadrant Leader in API Management and AI security.
- Benefits: Enjoy competitive pay, stock options, 25 days holiday, and wellness support.
- Other info: Embrace a hybrid work culture with endless growth opportunities and a fun team environment.
- Why this job: Make a real impact by shaping the future of AI in software development.
- Qualifications: 3+ years managing engineering teams and 7+ years in software engineering.
The predicted salary is between 80000 - 100000 € per year.
Gravitee is a 2025 Gartner® Magic Quadrant™ Leader, on a mission to govern the world’s intelligence. We deliver the industry’s most advanced platform for Any API, Any Event, and Any AI Agent, trusted by global leaders like Michelin, Roche, and Blue Yonder.
Why join us?
- The Mission: We are the first to bridge traditional API Management with the new frontier of AI Agent Security.
- The Momentum: A high-growth Leader - combining market credibility with startup speed.
- The DNA: We hire people who Hold Nothing Back - passionate builders who want to redefine digital infrastructure.
Don’t just watch the AI revolution. Build the infrastructure that controls and secures it.
The Role: At Gravitee, we aren’t just using AI to build features for our users; we are completely reinventing the Software Development Life Cycle (SDLC) itself. This is not a corporate strategy role or a pure ML research position. We are looking for a leading, hands-on AI-native engineer. You will lead a high-performing squad of DevEx and Platform Engineers to build an AI-augmented internal ecosystem that optimises every phase of our lifecycle, from product ideation to production deployment.
What You’ll Be Doing
At Gravitee, impact isn’t abstract, it’s visible. In this role, you will:
- Team Leadership & Management
- Build the Squad: Hire, scale, and lead a high-performing team of Developer Experience (DevEx) and Platform Engineers.
- Lead by Example: Act as a premier AI-native engineer, establishing the standard for how the team leverages advanced AI tools (e.g., Cursor, Devin, custom LLM workflows) to code faster, safer, and smarter.
- Foster User Empathy: Ensure your team views internal Product Managers, Designers, and Developers as their primary customers.
- Resource Planning: Masterfully balance the roadmap between long-term, high-leverage R&D (e.g., experimenting with multi-agent orchestration) and immediate, tactical fixes that unblock the engineering organisation.
- Platform Architecture & Context Engineering
- Architect the AI-Native Stack: Lead the technical implementation of our Internal Developer Platform (IDP), knowing exactly when to rely on traditional, deterministic backend orchestration vs. autonomous LLM agents.
- Master Context Engineering: Own our ingestion pipeline. You understand that AI is only as good as its context; you will build robust RAG systems that sync codebase knowledge, Linear/Jira histories, and Architecture Decision Records (ADRs) to feed internal tooling and eliminate hallucinations.
- Infrastructure Guardrails: Ensure all AI-generated code and automated workflows are bounded by strict engineering guardrails, robust error handling, and security scanning.
- Workflow Acceleration
- For Product: Architect tools that ingest raw customer feedback, telemetry, and business requirements to assist PMs in drafting rigorous, comprehensive Product Requirement Documents (PRDs).
- For Engineering: Seamlessly integrate advanced coding assistants that go beyond basic autocomplete, enabling entire scaffolding and test-suite generation directly mapped to the specs created in the product phase.
- Metrics & Reporting
- Define the Metrics: Don’t guess, measure. Establish and track the core "Physics of Gravitee": Speed, Velocity, and Quality.
- Monitor AI Adoption: Track and optimize the usage rates of internal AI tools, acceptance rates of AI-generated code/specs, and the direct impact on DORA metrics (Deployment Frequency, Lead Time for Changes) and "Time-to-Spec." Your impact will be visible, measurable, and global.
Essential Skills
- Management Experience: 3+ years of experience managing engineering teams, with a strong preference for DevEx, Platform, Infrastructure, or Tooling teams. A proven track record of hiring exceptional talent.
- Software Engineering Core: 7+ years of foundational software engineering experience. You are an expert backend engineer or systems architect who builds production-grade software that scales.
- AI & LLM Mastery: Deep, recent, hands-on experience operationalising Generative AI. You understand context windows, token optimisation, embedding models, vector databases, and RAG architectures.
- AI-Native Workflow Philosophy: You are deeply embedded in the modern AI development ecosystem. You have a clear, pragmatic philosophy on how AI-driven development changes code quality, testing methodologies, and technical debt.
Who Thrives at Gravitee
You’ll do well here if you:
- Care deeply about quality, clarity, and impact.
- Are curious, adaptable, and excited by emerging technologies like AI.
- Take ownership and follow through.
- Value collaboration, openness, and continuous improvement.
Bonus points if you’ve worked with APIs, cloud-native platforms, AI-enabled systems, or open source, but curiosity matters most.
Life at Gravitee
At Gravitee, we invest in humans, not just roles. You’ll get:
- Competitive medical coverage.
- Pension / 401k program options.
- Stock options - you build it, you own it.
- 25 days holiday + in-country national holidays.
- 3 mental health days + wellness allowance.
- Your birthday off 🎉.
- Professional development budget to fuel your growth.
- Hybrid work culture with hubs across regions.
- Quarterly team events + annual offsite at an exciting location.
- A meaningful, progressive, global company culture that is as fun as it is hardworking.
- Endless growth opportunities.
At Gravitee, we believe diverse perspectives make better products and stronger teams.
At Gravitee, no employee or applicant will be treated less favourably on the grounds of sex, marital status, race, color, nationality or ethnic or national origin, disability, gender, sexual orientation, gender identity, age, pregnancy or maternity, marital or civil partner status, or religion or belief.
Tech Lead - AI Platform & Developer Experience (DevEx) in London employer: Gravitee
Gravitee is an exceptional employer that champions innovation and personal growth, offering a dynamic work culture where passionate builders can thrive. With competitive benefits including stock options, generous holiday allowances, and a commitment to professional development, employees are empowered to shape the future of AI technology while enjoying a supportive and collaborative environment. Join us in a hybrid work setting that values diverse perspectives and fosters continuous improvement, making every contribution impactful and visible.
StudySmarter Expert Advice🤫
We think this is how you could land Tech Lead - AI Platform & Developer Experience (DevEx) in London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or even just grab a coffee with someone who works at Gravitee. Building relationships can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or side projects, make sure to highlight them. Gravitee is all about innovation, so demonstrating your hands-on experience with AI tools or coding can really set you apart.
✨Tip Number 3
Prepare for the interview like it’s a big game day. Research Gravitee’s mission and values, and think about how your experience aligns with their goals. Be ready to discuss how you can contribute to their AI-native vision.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Gravitee team.
We think you need these skills to ace Tech Lead - AI Platform & Developer Experience (DevEx) in London
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for AI and software development shine through. We want to see that you’re not just looking for a job, but that you’re genuinely excited about the opportunity to lead and innovate in this space.
Tailor Your Experience:Make sure to highlight your relevant experience in managing engineering teams and working with AI technologies. We’re looking for someone who can bridge the gap between traditional development and AI, so be specific about how your background aligns with our mission.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on communicating your skills and experiences effectively. Remember, we want to understand your impact at a glance!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at Gravitee.
How to prepare for a job interview at Gravitee
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of AI and LLMs. Gravitee is looking for someone who can operationalise Generative AI, so be ready to discuss context windows, token optimisation, and RAG architectures in detail.
✨Showcase Your Leadership Skills
Since the role involves building and leading a high-performing team, prepare examples of how you've successfully managed engineering teams in the past. Highlight your experience in hiring exceptional talent and fostering collaboration.
✨Demonstrate Your Technical Expertise
Be prepared to dive deep into your software engineering background. Discuss your experience with backend engineering and systems architecture, and be ready to explain how you've built production-grade software that scales.
✨Emphasise User Empathy
Gravitee values a user-centric approach, so think about how you can demonstrate your understanding of internal customers like Product Managers and Designers. Share examples of how you've ensured your team prioritises user needs in their work.