PrizePicks is the fastest-growing sports company in North America according to the 2023 Inc. 5000 rankings, two years running, and the largest independent skill-based fantasy sports operator in the country.

Data and ML Platform Engineering Manager

Platform EngineerPlatform EngineerFull TimeRemoteTeam 201-500H1B No SponsorCompany Site LinkedIn

Location

United States

Posted

40 days ago

Salary

$175K - $250K / year

Postgraduate Degree8 yrs expEnglishDistributed SystemsElastic SearchJavaKafkaKubernetesNo SQLOpen SourcePythonSpark

Job Description

• 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.

Job 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.
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.

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