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Nike

Lead Technical Product Manager, ITC

Posted 7 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in Karnataka, IND
Expert/Leader
Remote
Hiring Remotely in Karnataka, IND
Expert/Leader
Lead the strategy, roadmap, and delivery of AI/ML products and platforms. Drive cross-functional squads through discovery, delivery, and adoption; translate business needs into technical requirements; manage dependencies, technical debt, and metrics; mentor PMs; demo prototypes; and collaborate with engineers and data scientists to deploy and optimize ML solutions.
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WHO YOU’LL WORK WITH

Nike is looking for Lead Technical Product Manager – AI/ML to drive the development and delivery of innovative, customer-centric AI/ML-powered solutions. You will work at the intersection of business, technology, data science and platform capabilities, playing a pivotal role in defining the roadmap, building scalable AI/ML products, and delivering transformative experiences for Nike users.

This role requires a combination of technical expertise, strong product management skills, and a passion for leveraging AI/ML to solve complex problems, enabling Nike to stay at the forefront of innovation.

In your job function you will work and collaborate with

  • Lead / Principal Engineers and Engineering Managers
  • Enterprise architects, security architects, and peer Technical Product Managers
  • Principal Technical Product Managers and Directors(Technical Product Management)

WHO WE ARE LOOKING FOR

The candidate should be fulfilling the below criteria

  • 10+ years demonstrated experience as a Product Owner, Product Manager, or Technical Product Manager in Data and AI/ML product development.
  • Product strategy and road mapping at multi-squad scale.
  • Stakeholder alignment and communication across functions.
  • Value-driven prioritization using frameworks applied with judgment.
  • Risk & dependency management across squads and partner teams.
  • Participation in at least four full-cycle projects or multiple projects across various phases of development
  • Strong experience working in matrix organizations, managing wide stakeholder networks, and navigating cross-product dependencies.
  • Experience working and developing AI/ML frameworks, products, platforms, pipelines, and solutions, including development, deployment, and optimization of ML models.
  • Proficiency in Agile methodologies and Jira, Confluence, Figma, LucidChart tools.
  • Storytelling abilities for effectively being able propagate the impact your solutions across enterprise
  • A strategic thinker with a passion for AI/ML technologies and their potential to solve real-world problems.
  • A doer who can perform hands-on work, create detailed product artifacts, work effectively in JIRA, collaborate closely with the engineering team, and organize incoming information efficiently.
  • A leader for the engineering team who shields them from the influx of information, change requests, and new requirements, allowing them to focus on design, delivery, and achieving engineering excellence.
  • A collaborative team player skilled at navigating cross-functional teams and driving alignment.
  • A problem-solver who thrives in ambiguity and brings clarity through well-defined strategies and execution plans.
  • An expert who champions innovation and has the ability to influence decisions across technical and business teams.
  • Bachelors or Masters Degree in an Engineering Discipline
  • Located in Bangalore or willing to relocate to Bangalore

WHAT YOU’LL WORK ON

  • Define and execute product strategy aligned to quarterly, annual, and organizational goals for a product or platform.
  • Lead cross-functional squads through the full product lifecycle i.e, discovery, delivery, adoption, iteration.
  • Translate business needs into prioritized, defensible roadmaps and clear trade-off narratives.
  • Manage dependencies and technical debt in partnership with engineering leads; tie debt reduction to business outcomes.
  • Promote Technical Product Management best practices, tooling, and frameworks, mentor Senior Technical Product Managers.
  • Influence stakeholders across teams and functions to align on priorities and outcomes.
  • Own status, metrics, and adoption narratives for the Product or platform and present in Monthly/Quarterly Business reviews or related forums
  • Define the long-term vision, strategy, and roadmap for AI/ML products, ensuring alignment with business objectives and leadership priorities.
  • Conduct user research, analyze consumer feedback, and study market trends to identify opportunities for innovation with AI/ML-powered solutions.
  • Translate complex business needs into actionable technical product requirements, user stories, and maintain a prioritized and groomed product backlog with clear feature and epics description and acceptance criteria.
  • Where needed code prototypes
  • Ability to demo AI products and services connecting the solution to dependent platform solutions
  • Leverage AI/ML knowledge to enrich requirements focused on emerging technologies and their application.
  • Collaborate with AI/ML engineers, data scientists, platform teams, product and engineering leaders, cross-functional stakeholders to design and integrate AI/ML products into business processes bringing impact to Nike Business.
  • Actively participate in Agile ceremonies, such as sprint planning, reviews and demo sessions to drive successful product delivery.
  • Measure customer success by evaluating metrics for adoption, performance and cost efficiency of your deployed solutions
  • Stay informed about advancements in AI/ML frameworks, tools, and technologies, and apply them to enhance product performance and innovation.
  • Resolve dependencies between products, managing risks and proactively addressing blockers as they arise.
  • Lead the product lifecycle from ideation and prototyping to launch, optimization, and sunset, ensuring continuous delivery of value.
  • Foster collaboration across technical and business teams, ensuring alignment on priorities, objectives, and deliverables.
  • Develop and communicate technical concepts, roadmaps, and product strategies effectively to both technical and non-technical audiences.

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