- Company Name
- Nike
- Job Title
- Technical Product Manager - AI/ML
- Job Description
-
**Job Title**
Technical Product Manager – AI/ML
**Role Summary**
Lead the end‑to‑end development of AI/ML products, translating business objectives into technical roadmaps and product backlogs. Act as a bridge between data science, engineering, and business stakeholders, ensuring AI solutions are scalable, customer‑centric, and aligned with corporate strategy.
**Expectations**
- 8+ years of product ownership or product management in data, analytics, and AI/ML domains.
- Proven delivery of at least two full‑cycle AI/ML projects or multiple cross‑phase initiatives.
- Strong stakeholder management in matrixed environments and ability to navigate cross‑product dependencies.
- Strategic thinker with hands‑on execution skills, including prototyping and backlog grooming.
**Key Responsibilities**
- Define long‑term vision, strategy, and roadmap for AI/ML products, aligning with business goals.
- Conduct user research, market analysis, and consumer feedback loops to surface innovation opportunities.
- Translate business needs into clear technical requirements, user stories, epics, and acceptance criteria; maintain a prioritized, groomed backlog.
- Prototype and demo AI solutions, integrating them with platform services and demonstrating value to stakeholders.
- Collaborate with AI/ML engineers, data scientists, platform teams, and product leaders to design, build, and deploy ML models and pipelines.
- Actively participate in Agile ceremonies (sprint planning, reviews, demos) to drive delivery cadence.
- Define and track metrics for adoption, performance, and cost efficiency; iterate based on insights.
- Monitor AI/ML industry trends, tools, and frameworks; recommend and implement enhancements.
- Manage cross‑product risks, resolve blockers, and facilitate dependency resolution.
- Lead product lifecycle from ideation through launch, optimization, and retirement, ensuring continuous value delivery.
- Communicate technical concepts, roadmaps, and product strategies to both technical and non‑technical audiences.
**Required Skills**
- Product management in AI/ML, data analytics, or related technical products.
- Agile methodology expertise; proficiency with JIRA, Confluence, Figma, Lucidchart.
- Strong analytical and storytelling abilities for stakeholder communication.
- Leadership and influence across engineering and business teams.
- Problem‑solving mindset in ambiguous environments.
- Ability to shield engineering teams from noise, enabling focused delivery.
**Required Education & Certifications**
- Bachelor’s degree in Computer Science, Engineering, Data Science, or related field (master’s preferred).
- No specific certifications mandatory; knowledge of AI/ML product frameworks and Agile certifications (e.g., Certified Scrum Product Owner) is advantageous.