AI-Native Engineering Manager, Athlete Data Platform

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

Benefits offered by this job

Accessibility accommodations

Job summary

Nike, Inc. in Beaverton, OR is seeking an AI-Native Engineering Manager to lead the Athlete Data Platform team, overseeing the per-athlete record, its intelligence layer, and the pipelines powering NRC and NTC.

You will drive delivery, maintain platform health, and mentor engineers across backend, mobile SDK, and data pipelines. You will partner with Data Science, Sport Science, and Privacy to productionize models, enforce data contracts, and defend build-vs-buy decisions to keep Nike at the

Qualifications

• Demonstrated fluency in AI-Native engineering with concrete examples.
• 5+ years in tech and software engineering, including 3+ years in people leadership.
• Experience leading teams in a highly matrixed environment across partner organizations.

Responsibilities

• Lead the Athlete Data Platform team - hire, onboard, grow, and performance-manage a full-stack squad.
• Set the AI-Native engineering bar for agents, workflow orchestrations, MCP integrations, and evaluation harnesses.
• Partner with Principal Engineers, Product, Sport Science, and Data Science to set quarterly roadmaps.
• Own architectural health: data-model quality, latency, and cost; manage on-call load and SLAs.
• Make build-vs-buy decisions for athlete data capabilities and coordinate SDK contracts with mobile teams.
• Collaborate with Security, Privacy, and Data Governance to ensure consent-aware, compliant data handling.

Skills

AI-Native eng

People mgmt

Full-stack leadership

Platform scale

Education

Bachelor's in CS or related

Equivalent experience

Tools

Go

Kotlin/Java

Python

Kafka

AWS

Job description

Nike, Inc. in Beaverton, OR is seeking an AI-Native Engineering Manager to lead the Athlete Data Platform team, overseeing the per-athlete record, its intelligence layer, and the pipelines powering NRC and NTC.

You will drive delivery, maintain platform health, and mentor engineers across backend, mobile SDK, and data pipelines. You will partner with Data Science, Sport Science, and Privacy to productionize models, enforce data contracts, and defend build-vs-buy decisions to keep Nike at the