Senior Technical Product Manager - API and AI Enablement

Company Description

Zayo provides mission-critical bandwidth to the world’s most impactful companies, fueling the innovations that are transforming our society. Zayo’s 141,000-mile network in North America and Europe includes extensive metro connectivity to thousands of buildings and data centers. Zayo’s communications infrastructure solutions include dark fiber, private data networks, wavelengths, Ethernet, and dedicated Internet access. Zayo serves wireless and wireline carriers, media, tech, content, finance, healthcare and other large enterprises.

The Senior Technical Product Manager — API and AI Enablement leads the strategy, development, delivery, and adoption of customer-facing and internal APIs, AI-enabled capabilities, and related platform integrations.

This role connects business strategy, customer needs, and technical execution. The successful candidate will translate ambiguous opportunities into clear, secure, developer-ready plans; lead cross-functional delivery teams; and ensure solutions progress from discovery through production adoption and measurable outcomes.

This is a hands-on, player-coach role. The immediate emphasis is technical product delivery: leading a cross-functional development pod whose members may or may not report directly to this position. As the team scales, the role is expected to expand into direct people leadership — beginning with a technical project manager and potentially software engineers — so the successful candidate must be senior enough to hire, develop, and manage technical staff when that time comes.

The ideal candidate combines strong product and program leadership with enough technical depth to collaborate directly with software engineers, architects, security teams, operations, customers, and external partners, and is comfortable communicating clearly from engineering working sessions through executive reviews.

Responsibilities

Technical product delivery

• Product and program ownership: Own the vision, roadmap, priorities, and delivery plan for API and AI-enabled capabilities that improve customer experience, employee productivity, operational efficiency, and business scalability.
• API portfolio leadership: Guide customer-facing, partner, and internal API capabilities through discovery, design, implementation, documentation, onboarding, adoption, and ongoing lifecycle management.
• AI enablement: Identify valuable AI opportunities and establish disciplined delivery practices that include evaluation criteria, testing, safeguards, human review, production monitoring, and measurable outcomes.
• Identity and access alignment: Ensure authentication, authorization, entitlement, privacy, and security requirements are identified early and incorporated into customer and internal experiences.
• Technical product ownership: Ensure engineers understand the business outcome, user need, system context, dependencies, acceptance criteria, and definition of done before implementation begins.
• Planning and prioritization: Maintain a cohesive implementation plan in which priorities, justification, dependencies, ownership, delivery forecasts, and risks remain visible and current.
• Requirements and documentation: Produce clear business requirements, technical requirements, process models, API documentation, decision records, and executive-ready summaries.
• Release and operational readiness: Coordinate testing, UAT, security review, support readiness, communications, rollout, adoption measurement, and post-release follow-up.

Stakeholders and outcomes

• Customer and partner enablement: Work with customers, sales, support, and external partners to understand integration needs, improve onboarding, and provide accurate technical guidance.
• Executive communication and cross-functional alignment: Provide concise, current reporting on progress, outcomes, decisions, risks, dependencies, resource needs, and recommended actions, and align business, product, engineering, architecture, security, infrastructure, operations, and support teams around shared outcomes.
• Operational improvement and change leadership: Identify and address manual work, fragmented integrations, unclear ownership, unreliable handoffs, and recurring support issues, and help the organization adopt new APIs, AI-enabled processes, and ways of working through clear communication, training, feedback, and measurable adoption.
• Outcome accountability: Measure success through adoption, reliability, cu…