Data and ML Platform Engineering Manager
About The Position
At PrizePicks, we are the fastest-growing sports company in North America, as recognized by Inc. 5000. As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 450 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom. Ready to reimagine the DFS industry together? 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.
Requirements
- 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.
- 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.
Nice To Haves
- Familiarity with search infrastructure (Turbopuffer/Elasticsearch).
Responsibilities
- 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.
Benefits
- Company-subsidized medical, dental, & vision plans
- 401(k) plan with company match
- Annual bonus
- Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!)
- Generous paid leave programs, including 16-week paid parental leave and disability benefits
- Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked
- Company-wide in-person events and team outings
- Lifestyle enhancement program
- Company equipment provided (Windows & Mac options)
- Annual performance reviews with opportunities for growth and career development
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What This Job Offers
Job Type
Full-time
Career Level
Manager
