Data and ML Platform Engineering Manager

PrizePicks

full-time

Posted on:

Location Type: Remote

Location: United States

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Salary

💰 $175,000 - $250,000 per year

Job Level

About the role

  • 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.

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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonJavaKubernetesSparkKafkaFlinkMLOpsCI/CDNoSQLdata correctness
Soft Skills
leadershipcoachingproblem-solvingteam buildingmentoringownershipself-startercommunicationcollaborationquality-first