Jobs at Genius Sports

Positions 119,452

Genius Sports is a global leader in sports data and technology, delivering real‑time scoring, odds, and analytics to bookmakers, clubs, and media outlets. Their platform powers over 1,000 sporting events worldwide and integrates data from football, basketball, cricket, and esports.

Open roles span software engineering (Python, Java, Spark), data engineering (Kafka, Hadoop, GCP), product management, UX design, and data science. Candidates can expect remote‑friendly environments, agile teams, and a tech stack that includes Kubernetes, Terraform, and AWS services.

Job Transparency gives you transparent salary ranges and employee sentiment scores for each Genius Sports listing, allowing you to benchmark offers against market rates and gauge team culture before you apply.

No open positions at Genius Sports right now.

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Frequently Asked Questions

What is it like to work at Genius Sports?
Employees describe a fast‑paced, collaborative culture that blends sports passion with cutting‑edge tech. The company offers flexible remote options, regular hackathons, and mentorship programs led by senior data scientists. Team members often partner with professional sports clubs, giving them real‑world impact and chances to work on high‑visibility projects.
What types of positions are available at Genius Sports?
Genius Sports hires across the entire tech stack: backend engineers, frontend developers, full‑stack roles, data engineers, data scientists, machine learning engineers, DevOps specialists, product managers, and UX designers. Non‑tech roles include sales, marketing, and customer success, but the majority of openings are technical.
How can I stand out as an applicant for Genius Sports roles?
Showcase any experience with sports data or real‑time analytics—demo projects on GitHub that ingest live feeds, display live scores, or predict outcomes. Highlight proficiency in Python, Java, Spark, Kafka, and cloud platforms. Tailor your resume to include metrics (e.g., reduced data pipeline latency by 30%) and mention your passion for sports analytics. Finally, reference any relevant certifications or courses in data science or sports technology.

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