Genius Sports

London
Total Offices: 2
1,800 Total Employees
Year Founded: 2001

Genius Sports Offices

Hybrid Workplace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Not Specified

Global Office Locations

London

Our London office is located in the heart of Marylebone. Home to our executive, delivery and technology, commercial, finance and legal teams.

Manchester

We have a business development and delivery presence in Ancoats, an area steeped in cultural heritage and entrepreneurial spirit.

Recently posted jobs

10 Days AgoSaved
Easy Apply
Hybrid
London, Greater London, England, GBR
Easy Apply
AdTech • Artificial Intelligence • Machine Learning • Marketing Tech • Software • Sports • Big Data Analytics
Leads Legend’s 25+ person, multi-location finance function across reporting, payables, receivables, treasury, and payroll. The role oversees finance operating-model transformation, process redesign, automation, controls, systems improvement, post-acquisition integration, and organizational scaling. It requires strong stakeholder management, technical finance expertise, and the ability to balance strategic transformation with hands-on operational leadership across multiple jurisdictions.
11 Days AgoSaved
Easy Apply
Hybrid
London, Greater London, England, GBR
Easy Apply
AdTech • Artificial Intelligence • Machine Learning • Marketing Tech • Software • Sports • Big Data Analytics
Own portfolio-wide technical SEO strategy and performance across major gaming and sports domains. Lead investigations into crawling, rendering, indexation, architecture, international SEO, migrations, structured data, JavaScript SEO, and web performance. Partner with Product and Engineering to prioritize and deliver measurable impact. Build automated monitoring, diagnostics, AI-enabled workflows, tools, guardrails, and reusable frameworks while influencing senior stakeholders and coaching SEO teams.
17 Days AgoSaved
Easy Apply
Hybrid
London, Greater London, England, GBR
Easy Apply
AdTech • Artificial Intelligence • Machine Learning • Marketing Tech • Software • Sports • Big Data Analytics
Design, build, test, maintain, and debug reliable software features and systems. Collaborate with product managers, designers, and engineers to translate requirements into technical solutions. Participate in technical design discussions, code reviews, testing, and performance improvements while following established architecture and development standards. Work independently on defined tasks, communicate progress and trade-offs, and use AI-assisted tools responsibly to improve coding, debugging, documentation, and testing workflows.