Head of Developer Productivity
2 days ago
Barcelona
About the role We are looking for a Head of Developer Productivity to lead the strategy, execution, and continuous improvement of the tools, workflows, and AI‑powered systems that make our engineers more productive every day. In this role you will own the DevPro vision and multi‑year roadmap inside Cloud Platform, lead a team of sub‑teams—AI agents, internal frameworks, CI/CD tooling, and shared applications—and be accountable for reducing engineering friction, improving delivery metrics, and embedding AI into every phase of the Software Development Lifecycle. Key responsibilities AI Strategy & Agent Ecosystem Own the roadmap and prioritization for AI‑powered developer workflows across the full SDLC: autonomous code generation agents, AI planning agents, AI code‑review tools, AI‑assisted test generation, automated vulnerability remediation, and AI‑driven incident investigation. Act as the product owner for the AI agent ecosystem: define use cases, success metrics, adoption targets, safety policies, and rollout strategy. Measure end‑to‑end automation rates and continuously raise the bar. Drive the architecture and integration of AI agents with existing developer tools—issue trackers, source control, CI/CD pipelines, IDEs, observability platforms, and the Internal Developer Platform—so AI is embedded contextually where engineers already work. Champion the adoption of Model Context Protocol (MCP) and similar standards to connect AI agents with internal documentation, service catalogs, logs, and production data, enabling agents that understand the full operational context. Engineering Metrics & DORA Define, build, and operate a unified engineering metrics platform that calculates DORA metrics (Lead Time for Changes, Deployment Frequency, Change Failure Rate, Mean Time to Recovery) from real data across source control, issue tracking, and deployment systems. Set organization‑wide targets for engineering delivery metrics and use them to identify bottlenecks, prioritize investments, and demonstrate the measurable impact of Developer Productivity and AI initiatives. Integrate AI‑adoption metrics (automation rate, AI‑generated vs. human‑generated code, agent throughput, first‑pass approval rate) into the engineering metrics platform so leadership can track the ROI of AI investments alongside traditional delivery health. Deliver self‑service dashboards and automated reporting so that every team, vertical, and executive has real‑time visibility into productivity trends. Developer Experience & Internal Platform Own the developer experience strategy: run SPACE‑framework developer satisfaction surveys, track Customer Effort Scores, and use qualitative and quantitative signals to continuously improve how engineers interact with the platform. Champion the evolution of the Internal Developer Platform (service catalog, self‑service actions, golden‑path templates, scaffolding) so that creating a new service, deploying to production, or triggering an AI agent is a frictionless, self‑service experience. Lead the internal frameworks and libraries team, ensuring that shared application frameworks across languages (Go, Java, JavaScript/TypeScript) are standardized, well‑maintained, and continuously improved. Oversee the CI/CD platform team: GitHub Actions workflows, container builds, GitOps deployments, release governance, and environment management—ensuring pipelines are fast, reliable, and increasingly AI‑augmented. People Management & Enablement Manage, grow, and inspire a multi‑squad Developer Productivity team (currently ~15 engineers). Hire and develop technical leaders who think AI‑first. Lead change management and enablement for AI adoption across engineering: create onboarding programs, RFCs, internal talks, documentation, and hands‑on workshops. Facilitate cross‑team collaboration: gather feedback from Engineering Managers, Staff Engineers, and ICs; translate pain points into actionable initiatives; communicate trade‑offs and decisions clearly to both technical and non‑technical stakeholders. Partner with Security and Compliance to embed secure‑by‑design practices into AI workflows, including clear policies for when AI agents can propose, implement, or auto‑merge changes. Qualifications 8+ years of experience in Software Engineering, Platform Engineering, DevEx or related roles, with 4+ years in a management or senior leadership position overseeing Developer Productivity, Developer Experience, Internal Developer Platform, or similar teams. Strong people‑management experience: track record of building, scaling, and retaining high‑performing engineering teams. Demonstrated experience leading AI‑powered developer‑tools initiatives: shipped or product‑managed AI coding agents, LLM‑based code‑review tools, AI planning assistants, or similar that drove measurable adoption and impact at scale. Deep understanding of DORA metrics and engineering‑productivity measurement: experience building or operating engineering metrics platforms is a strong plus. Excellent communication and stakeholder‑management skills, comfortable working with engineering leaders, individual contributors, security, product, and AI teams in a fast‑moving, global organization. You will stand out if you have Direct experience building or product‑managing autonomous AI software‑engineering agents that plan, generate code, run tests, and open pull requests with safety guardrails. Experience with LLM orchestration patterns for developer tools: model routing, prompt engineering, agent planning phases, tool‑use and function‑calling architectures, MCP integrations, evaluation frameworks, and cost optimization. Experience deploying and operating systems on AWS and Kubernetes/EKS, including GitOps, Argo CD/Workflows, and advanced CI/CD pipelines. Strong track record of public speaking or internal evangelism around engineering culture, Developer Experience, or AI‑first engineering practices. Experience using SPACE framework, developer NPS, and developer‑experience surveys to measure and improve engineering satisfaction alongside delivery metrics. What we offer Flexibility: flexible schedules driven by performance, with a mix of self‑managed focus time and in‑person collaboration. Fintech industry: dynamic environment with plenty to build and boost creativity. Referral bonus program: rewards for referring ideal candidates. Social budget: monthly budget to spend with your team (in person or remotely). House stipend: support renting a house for a week to cowork with your team anywhere in the world. #J-18808-Ljbffr