Data and ML Platform Engineering Manager

PrizePicks is forming a Data & ML Platform team from the ground up. This Engineering Manager will build and lead the team responsible for foundational platform capabilities used by Data Engineering and ML Engineering, improving developer velocity, reliability, and quality across the stack.  It is a great opportunity to have a huge impact on all aspects of PrizePicks explosive growth journey.

Build the team + roadmap

• Stand up a new platform team (hiring, onboarding, team rituals, execution cadence).
• Define a clear, prioritized platform roadmap with measurable adoption outcomes.

Deliver high-leverage platform components

• Build “paved roads” that make it easy to ship: reusable patterns, templates, libraries, and reference architectures.
• Enable self-service across data + ML workflows with strong governance, security, and observability.
• Use a mix of open source and vendor products to build a Data and ML Platform.

Run production-grade operations

• Establish quality gates (design reviews, testing strategy, release safety) and platform standards.
• Own operational excellence: SLIs/SLOs, on-call readiness, incident response, capacity planning, cost/performance tradeoffs.

Partner across the org

• Work closely with Data Engineering, ML Engineering, Analytics, Product, and Security to drive adoption and outcomes.

What you have:

• A graduate degree in Computer Science, Mathematics, or a related quantitative field.
• 8+ years of engineering experience, with meaningful depth in data and/or ML platforms.
• 3+ years leading engineers (hiring, coaching, delivery accountability).
• Strong distributed systems fundamentals (scaling, reliability, data correctness).
• Hands-on ability in Python and/or Java (can dive into code and unblock delivery).
• Experience with several of: Kubernetes, Spark, Kafka/Flink, orchestration, metadata/governance, table formats (Iceberg), CI/CD, observability, NoSQL stores.
• MLOps experience (ML Flow, feature stores, model lifecycle tooling, deployment patterns).
• Built developer “paved roads” / internal platforms with strong adoption.
• Familiarity with search infrastructure (Turbopuffer/Elasticsearch).
• Self-starter + ownership: drives ambiguous problems to durable solutions.
• Builds and grows teams: mentors, raises the bar, and develops talent.
• Quality-first: designs for operability, correctness, and reliability from day one.

• While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates. #LI-Remote 

The typical salary range for this position is $175,000 to $250,000. At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education. Your recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process. 

This application period will remain open for 30 days. We’re committed to finding the best candidate, so this date may be adjusted, and any changes will be reflected in this posting.

Date Posted:  2/3/2026