
Director of Engineering Productivity
Gravitee
full-time
Posted on:
Location Type: Hybrid
Location: London • United Kingdom
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Job Level
Tech Stack
About the role
- Team Leadership & Management
- Build the Squad: scale a high-performing team of Developer Experience and Platform Engineers.
- Mentorship: Foster a culture of technical excellence and user empathy, ensuring your team view internal Product Managers and Developers as their primary customers.
- Resource Planning: Balance the roadmap between long-term R&D (e.g., experimenting with new LLM agents) and immediate tactical fixes that unblock the engineering organisation.
- Strategy & Vision: Define the roadmap for the Internal Developer Platform (IDP) with a "Zero-Friction" mindset.
- Drive the adoption of AI-native workflows by bridging the gap between cutting-edge LLM capabilities and the operational realities of a high-speed development environment.
- Platform Architecture & Context Engineering: Lead the technical implementation of the platform. This involves integrating LLMs into our version control, issue tracking (Jira/Linear), and documentation tools.
- Own Context Management: Ensure our internal AI tools have the right context (codebase knowledge, historical PRDs, architecture decision records) to provide accurate, hallucination-free assistance.
- Workflow Acceleration For Product: Build tools that ingest user feedback and assist in drafting rigorous Product Requirement Documents (PRDs).
- For Engineering: Integrate coding assistants that go beyond autocomplete, enabling entire scaffolding generation based on the PRDs created in the previous step.
- Metrics & Reporting: Define and track the "Physics of Gravitee": Speed, Velocity, and Quality. Report on AI Adoption: usage rates of internal tools, acceptance rates of AI-generated code/specs. Report on Productivity: DORA metrics (Deployment Frequency, Lead Time for Changes) and "Time-to-Spec." Your impact will be visible, measurable, and global.
Requirements
- 3+ years of experience managing engineering teams (DevEx, Platform, or Tooling teams preferred).
- You have a track record of hiring great talent and helping them grow.
- 7+ years in software engineering with a recent, deep focus on Generative AI and LLMs.
- You understand that "building" involves writing specs just as much as writing code.
- You have empathy for Product Managers and Designers.
- Deep understanding of the SDLC (Software Development Life Cycle)
- Familiarity with RAG (Retrieval-Augmented Generation), Vector Databases, and Context Engineering.
- Data-Driven: You don't guess; you measure. You are comfortable defining KPIs and presenting them to executive leadership.
Benefits
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Generative AILLMsSoftware Development Life CycleContext EngineeringRAGVector DatabasesMetrics & ReportingDORA metricsProduct Requirement DocumentsCoding assistants
Soft Skills
Team LeadershipMentorshipUser empathyResource PlanningStrategy & VisionData-DrivenHiring talentGrowth facilitationCommunicationCollaboration