Infinity Platform Product Management | Sr. Director

AvayaMorristown, NJ
$203,000 - $275,000Remote

About The Position

AVAYA is building the next generation of its AI-powered customer engagement platform, Infinity. This platform evolves software from static features into intelligent systems that can reason, act, and continuously improve. The role is for a seasoned product leader who understands this shift and has evolved their operating methods accordingly. This is not a traditional product management role focused on backlog management or PRD-driven operations. Instead, Avaya seeks a pragmatic builder and leader with a strong foundation in platform and API design, applying these principles to AI-driven systems. The role requires sound judgment, the ability to navigate ambiguity, and the discipline to balance speed with quality while operating at scale. The focus is on the core Infinity AI platform and intelligent system capabilities that power Avaya's solutions. This role will partner closely with teams responsible for productization, Go-To-Market (GTM), platform reliability, and compliance, with clear ownership of how AI systems are designed, built, and operated within the platform.

Requirements

  • 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.
  • 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 LLMs, orchestration, retrieval, and evaluation concepts.
  • Ability to translate AI capabilities into reliable, scalable product experiences.
  • Clear grasp of real-world tradeoffs including latency, cost, reliability, and user experience.
  • Bachelor degree or equivalent experience.
  • Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.

Nice To Haves

  • Master of Business Administration is preferred.
  • You think in systems, not features.
  • You balance speed with judgment—you know when to move fast and when to be deliberate.
  • You bring clarity and structure to ambiguity.
  • You are confident but not dogmatic—able to challenge and collaborate effectively.
  • You elevate teams through leadership, not just individual output.

Responsibilities

  • 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.

Benefits

  • bonus potential
  • benefits
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