- Equinix Incubation builds the systems that support the software delivery lifecycle end to end, with humans directing the work and owning every critical gate. This role owns the product, the roadmap, and the engineering team behind that capability

- You will lead the engineering pods building the orchestration layer, persona consoles, agent capabilities, dashboards, and enterprise integrations, carrying the roadmap from first MVP through live adoption and organization-wide scale

- This is a player-coach leadership role for someone who can connect product vision, architectural direction, executive alignment, and team-building into one coherent delivery strategy

- Own the Product and the Roadmap

- Define and drive the delivery-engine roadmap across orchestrator, agent fleet, consoles, dashboards, and enterprise integrations, sequenced for measurable value

- Make the build-measure-learn loop real: ship in sprints, pilot with live delivery teams, and let adoption and telemetry reshape the plan

- Own trade-off decisions across scope, quality, cost, and speed, and defend them with data in front of senior leadership

- Build and Lead the Pods

- Hire, grow, and retain a small, exceptional team of agent engineers, platform engineers, and delivery talent across the UK and India

- Run lean pods where agents do the routine work and people do the judgment work; model that way of working yourself

- Set a high and supportive performance bar through clear expectations, direct feedback, strong coaching, and meaningful career growth

- Prove the Value
- Own the value story: cycle time, throughput, quality, adoption,



and realized business value, instrumented and reported clearly

- Keep the economics honest: agent cost, platform cost, and capacity unlocked, treated as first-class engineering metrics

- Turn pilot wins into an expansion case that finance and function leaders believe

- Set the Operating Standard
- Establish how agent-first engineering is done: evals as release gates, human-in-the-loop approvals, and responsible AI governance in partnership with InfoSec, architecture, and enterprise AI governance teams

- Represent the platform in architecture and governance forums, and keep the roadmap aligned with enterprise platform and data strategy

- Share patterns, standards, and playbooks so other teams can adopt what your team proves

- What Success Looks Like
- The delivery engine is in daily use by live delivery teams, with measurable cycle-time and quality gains that stand up to finance scrutiny

- You have built a team with a hiring record, retention, and performance bar that reflect the ambition of the mandate

- Executives trust your roadmap because what you commit to ships, and what ships gets measured
- The operating standards your team sets are being adopted beyond your immediate organization

- Product & Technical Leadership





- Roadmap ownership; architectural judgment; trade-off decision-making; systems thinking

- People Leadership
- Hiring and talent development; lean pod design; coaching; distributed team leadership

- AI-First Operating Model

- Agent-first ways of working; evals and governance; human-in-the-loop design; value instrumentation

- Executive Influence
- Narrative and communication; stakeholder alignment; funding and value cases; calm under scrutiny- Preferred Qualifications

- Experience running product operating models: roadmaps, funding cases, value realization

- Hands-on fluency with modern AI: LLM-powered applications, agentic systems, and what it takes to make them production-grade

- Proven years in software engineering, including 5+ years leading engineering teams or engineering-led products
- A record of shipping and scaling platforms or products in an enterprise, from first release through adoption

- Strong architectural judgment across APIs, event-driven systems, cloud platforms, and enterprise integration

- Proven hiring and talent development record, including building distributed teams

- Executive-grade communication: you can carry a room of senior stakeholders with a explicit, honest narrative

- Background in developer platforms, SDLC tooling, or engineering productivity

- Experience with agent frameworks and protocols such as MCP or A2A, and with eval-driven quality practices

- Experience delivering AI or automation platforms into regulated or security-conscious enterprises

📌 Director of Product Software Architecture and Engineering (London)
🏢 Equinix
📍 London