Director, Product Software Architecture and Eng

Director, Product Software Architecture and Eng

JR-162355

Hybrid

London

Technology

Full time

Who are we?

Equinix is the world’s digital infrastructure company®, shortening the path to connectivity to enable the innovations that enrich our work, life and planet.

A place where bold ideas are welcomed, human connection is valued, and everyone has the opportunity to shape their future.

Help us challenge assumptions, uncover bias, and remove barriers - because progress starts with fresh ideas. You’ll find belonging, purpose, and a team that welcomes you - because when you feel valued, you’re empowered to do your best work.

Job Summary

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.

Responsibilities

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.

Qualifications

Required

12+ 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.

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

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 clear, honest narrative.

Preferred Qualifications

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

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

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

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

Core Competencies

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.

Why This Role

Incubation is a durable capability, not a project team: the team persists, and the product focus evolves. Agentic delivery is the first product; future incubation opportunities will follow.

In this role, you will define how AI-first engineering works at Equinix and build the team that proves it. Few Director roles offer this combination of product ownership, architectural influence, executive visibility, and team-building scope.

Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing form.

We use artificial intelligence in our hiring process. Learn more here.

This posting is a new position within our organization.