AI-Powered Engineering Manager, Athlete Data Platform

Converse; Beaverton (OR); On-site; USD 180,000 - 240,000; Full time

Job summary

Nike, Inc. is seeking an AI-native Engineering Manager to lead a full-stack squad responsible for the Athlete Data Platform, its record, and the intelligence layer that informs NRC, NTC, and sport-science research surfaces.

You will partner across engineering, science, and product to ship platform services at consumer scale, driving architectural decisions and measurable outcomes. The role emphasizes ownership of availability, latency, and cost, with a focus on consent-aware data handling and

Qualifications

• 5+ years in technology and software roles, including leadership
• Experience shipping platform services at consumer scale
• Strong architectural judgment on AI-native tooling and integration
• Proven ability to lead cross-functional teams in matrixed environments

Responsibilities

• Lead the Athlete Data Platform engineering team across backend, mobile SDK, and data pipelines
• Set the bar for AI-native engineering practices, including agents and MCP integrations
• Partner with Product, Sport Science, and Data Science to translate roadmaps into deliverables
• Own platform health: architecture, data quality, latency, availability, cost, and SLAs
• Make build-vs-buy decisions for athlete data capabilities in collaboration with stakeholders
• Coordinate with iOS/Android squads on SDK contracts and client behavior
• Mentor engineers, drive design reviews, and raise the technical bar across levels

Skills

AI-native engineering

Go/Kotlin/Java/Python

Full-stack leadership

Data pipelines

Cloud AWS

Education

Bachelor's CS/Engineering

Tools

Kafka

Kinesis

gRPC

AWS

Job description

Nike, Inc. is seeking an AI-native Engineering Manager to lead a full-stack squad responsible for the Athlete Data Platform, its record, and the intelligence layer that informs NRC, NTC, and sport-science research surfaces.

You will partner across engineering, science, and product to ship platform services at consumer scale, driving architectural decisions and measurable outcomes. The role emphasizes ownership of availability, latency, and cost, with a focus on consent-aware data handling and