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
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