Lead Technical Product Manager – Applied AI

AT&T AT&T · Telecom · Dallas, TX +1

Lead Technical Product Manager to shape and deliver innovative AI-powered customer sales virtual assistants, managing the full product lifecycle and integrating advanced AI frameworks for agentic experiences. Focuses on roadmap development, stakeholder management, and enhancing customer value and AI-driven sales revenue.

What you'd actually do

  1. Manage the entire product lifecycle from initial concept through development, launch, and end-of-life, ensuring seamless transitions through each stage and ongoing product performance.
  2. Translate and document customer and technical requirements into final product designs, prepare and present comprehensive business cases, and provide detailed product requirements, user stories, and acceptance criteria.
  3. Perform in-depth market research and competitive analysis to identify trends, addressable revenue potential, customer segments, and opportunities for new products or features.
  4. Create and maintain detailed product roadmaps, service guides, product documentation, results reports/analysis, and project plans, ensuring alignment with market needs and business objectives.
  5. Partner with business, technology, UX teams, and 3rd party technology partners to design or modify products, ensuring a high-quality user experience, alignment with budget and schedule specifications, and effective cross-functional collaboration.

Skills

Required

  • 8+ years of proven experience as a product manager, specializing in digital solutions designed for end-users.
  • Strong history of leading AI-powered product development and lifecycle management, focusing on advanced technologies such as GenAI, LLM models, and Agentic AI frameworks (including NGA, ADK, LangChain, and LangGraph).
  • Skilled at working with cross-functional teams to define, document, and transform both customer needs and technical requirements into innovative AI-driven product offerings.
  • Overseen the integration and deployment of AI/ML solutions, including implementation on cloud platforms like GCP, Azure, and AWS, and the use of AI/ML development tools.
  • Adept in market research and competitive analysis to uncover opportunities for AI-focused products or features that maximize customer value and support business goals.
  • Deep understanding of AI/ML product analytics, evaluation, and testing practices, including practical use of observability and annotation tools.
  • Excellent communicator, capable of explaining complex AI concepts and strategies clearly to both technical and non-technical audiences.
  • Demonstrated leadership in mentoring and guiding multidisciplinary teams, encouraging innovation and adoption of new AI technologies.
  • Strong problem-solving and analytical abilities, proven by success delivering impactful AI solutions in fast-paced, collaborative settings.
  • Recognized expert who leverages broad business acumen and strategic awareness of emerging trends and technologies to address complex challenges and drive organizational outcomes.
  • Led high-stakes projects and creates or executes forward-thinking business strategies.

Nice to have

  • A background in development is considered a significant asset.
  • Experience with voice-enabled AI projects is desirable.

What the JD emphasized

  • AI-powered product development
  • Agentic AI frameworks
  • voice-enabled AI projects
  • AI/ML solutions
  • AI/ML product analytics, evaluation, and testing practices
  • complex AI concepts
  • impactful AI solutions
  • emerging trends and technologies
  • forward-thinking business strategies

Other signals

  • AI-powered customer sales virtual assistants
  • integrating advanced AI frameworks like Google NGA/ADK for seamless, agentic experiences
  • enhancing customer value by improving the customer sales journey
  • increase AI-driven sales revenue
  • advance user interactions with our virtual assistant solutions