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New York, United States
A bit about us:
Do you want to join one of the world’s fastest growing sports technology companies? Genius Sports is at the epicentre of the global network connecting sports, brands and fans through official live data. Our mission is simple. We champion a more sustainable sports data ecosystem that benefits all parties.
We’re looking for enthusiastic and ambitious people to join our talented team.
If you see yourself becoming part of a global family building the future of sports entertainment together, then come and grow with us. We put trust in our people to deliver the difference for our clients around the world. It’s why many of the world’s largest leagues & federations such as the NFL, English Premier League, FIBA and NCAA choose to work with Genius Sports.
The Role: Senior Engineering Manager, Sports Data
The Genius Sports Data Engineering Team is looking for a smart, talented, and experienced Engineering Manager to lead a team of engineers responsible for modernizing our data platform in support of our betting, broadcast, and fan engagement offerings.
The ideal candidate will have a strong understanding of data management best practices and deep expertise in real-time streaming of high-volume transactions across various domains. They will be well versed in modern methods for low-latency data ingress, data transformation/normalization, and data distribution at scale. They will have experience in database design/architecture particularly working in highly distributed/cloud-based environments.
Additionally, he or she will have a track record of building high-performing engineering teams and a passion for developing a team culture of innovation and quality to solve for unique complex problems.
This role is based in our recently opened, global center, New York City office. Located in midtown Manhattan, amongst the iconic skyline, you'll be immersed in cultural richness that inspires innovation and creativity. Join our team and add your talents to building a hub for all of Genius Sports.
Job Responsibilities:
Specific responsibilities for the Engineering Manager, Sports Data and his/her team include the following:
Build, Maintain, and Evolve our Data Collection Tools
Maintain & Modernize our Data Pipeline(s)
Data Warehousing & Reporting Tools
Leadership
Position Requirements
What’s in it for you?
As well as a competitive salary and annual leave allowance, our benefits include health insurance, skills training and much more, depending on the location. We also offer a host of softer benefits, including many social events throughout the year such as summer and winter holiday parties, monthly team building events, sports tournaments, charity days and wellbeing activities.
The salary for this role is based on an annualized range of $200,000 - $230,000. This role will also be eligible to take part in Genius Sports Group's benefits plan.
How we work:
We have adapted a forward-thinking ‘Ways of Working’ framework, which sets out (amongst other things) the opportunities for Geniuses to work flexibly and on working holidays. It affects different teams and locations differently, so please ask for further information in how it would work with this role.
Our employees are empowered to stretch the boundaries of what’s achievable, always reaching further and pushing the edges to see what gives. We collaborate, we innovate, and we celebrate. We will continue to grow as an organization and continue to invest in our highly talented and diverse team of Geniuses.
Genius Sports Group is proud to be an equal opportunities employer. We recognize and celebrate the benefits that a diverse and inclusive workforce bring to our business, our customers and our staff. We welcome and will consider all applications regardless of age, different abilities or disability, gender reassignment, marriage, pregnancy, maternity, race or nationality, religion or belief, sex and sexual orientation (and any other applicable status). Please let us know when you apply if you need any assistance during the recruiting process due to a disability.
Our salary intelligence, powered by our AI algorithms, has calculated an estimated range for this position between $120,000 - $160,000 . Please note that the actual salary for this position may vary, as it is dependent on various factors including but not limited to experience, location, and market dynamics.