Gravitee

Director of Engineering Productivity

Gravitee

full-time

Posted on:

Location Type: Hybrid

Location: LondonUnited Kingdom

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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