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Director, AI Platform & Systems Product Management - East Coast

Job in Morristown, Hamblen County, Tennessee, 37815, USA
Listing for: Avaya Corporation
Full Time position
Listed on 2026-06-02
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Product Designer, Systems Engineer
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below
Position: Director, AI Platform & Intelligent Systems Product Management - East Coast

About Avaya

Avaya is an enterprise software leader that helps the world’s largest organizations and government agencies forge unbreakable connections.

The Avaya Infinity™ platform unifies fragmented customer experiences, connecting the channels, insights, technologies, and workflows that together create enduring customer and employee relationships.

We believe success is built through strong connections – with each other, with our work, and with our mission. At Avaya, you'll find a community that values your contributions and supports your growth every step of the way.

Learn more at

About the Role

We are building the next generation of AI-powered customer engagement platform
—where software evolves from static features into intelligent systems that can reason, act, and continuously improve.

We are looking for a seasoned product leader who understands this shift and has evolved how they operate because of it.

This is not a traditional product management role. We are not looking for backlog managers or PRD-driven operators.

We are hiring a pragmatic builder and leader — someone with a strong foundation in platform and API design
, who is now applying those principles to AI-driven systems. This role requires sound judgment, the ability to navigate ambiguity, and the discipline to balance speed with quality while operating at scale.

This role is focused on the core AI platform and intelligent system capabilities that power our solutions. It works in close partnership with teams responsible for productization and GTM, as well as platform reliability and compliance, with clear ownership of how AI systems are designed, built, and operated within the platform.

What You’ll Do
  • Own strategy and execution for core platform capabilities across APIs, voice, messaging, orchestration, and automation
  • Drive the evolution from feature delivery to intelligent system design (inputs, reasoning, orchestration, outputs)
  • Partner deeply with engineering to prototype, validate, and scale both API-first and AI-powered capabilities
  • Apply AI-assisted development workflows to accelerate execution without compromising quality
  • Translate complex, ambiguous problems into clear product direction, architectures, and execution plans
  • Engage directly with enterprise customers and GTM teams to validate use cases and outcomes
  • Present at customer EBC meetings, providing clarity on platform roadmap vision
  • Make decisions grounded in customer impact, system performance, and business outcomes
  • Define and build the core AI platform layer that enables downstream AI use cases and product experiences
  • Partner with product peers to ensure platform capabilities translate into customer-facing solutions and provide
    reliability, compliance, and serviceability to ensure enterprise readiness
  • Operate as a mini-GM
    , influencing roadmap, prioritization, and long-term platform direction
  • Provide leadership across teams, bringing clarity and structure while maintaining momentum
What We’re Looking For
  • 15+ years of product management experience with significant ownership and leadership responsibility
  • Strong background in platform, APIs, and developer-centric products (e.g., CPaaS, SaaS)
  • 10+ years of contact center experience, including deep domain expertise in CCaaS platforms, customer engagement workflows, and omnichannel communication systems
  • Proven ability to build and scale a platform from zero-to-one through maturity
  • Deep technical fluency, especially in API design, system architecture, and platform tradeoffs
  • Experience evolving a platform toward AI-enabled capabilities
    , even if not AI-native from day one
  • Demonstrated track record of sound judgment and decision-making under ambiguity
  • Experience owning core platform capabilities that enable multiple downstream use cases
    , not just end-user features or GTM packaging
  • Executive presence with the ability to influence across engineering, GTM, and leadership
  • High ownership mindset with a bias for action—grounded in outcomes
AI & Intelligent Systems Expectations
  • Hands‑on exposure to building or shipping AI‑powered or automation‑driven capabilities
    , OR strong experience building an API‑first platform now extended into AI use cases
  • Understanding of LL…
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