Lead AI/ML product development: own backlog and roadmap, translate business needs into shippable increments, collaborate with engineering, data science and platform teams, track product performance, run squad ceremonies, demo AI products, and integrate ML solutions into business processes.
WHO YOU’LL WORK WITH
Nike is looking for Senior 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
- Software engineering squad lead and engineering manager
- Architects and senior engineers
- Lead and Principal Technical Product Managers
WHO WE ARE LOOKING FOR
The candidate should be fulfilling the below criteria
- 8+ years demonstrated experience as a Product Owner, Product Manager, or Technical Product Manager in Data and AI/ML product development.
- Agile product development with a working squad.
- Stakeholder alignment at team and adjacent-team level.
- Data-informed decision making — comfortable with basic telemetry and KPI tracking.
- Written and verbal clarity; able to write a one-pager that senior leaders can act on.
- Participation in at least two 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 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
- Own the backlog, roadmap, and priorities for a single product or product area.
- Translate business needs into shippable increments in partnership with the engineering lead.
- Track product performance, adoption, and quality; close the loop with engineering on improvements.
- Run squad-level ceremonies that matter (planning, reviews, retros)
- 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.
- Stay informed about advancements in AI/ML frameworks, tools, and technologies, and apply them to enhance product performance and innovation.
- 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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