Engineering Manager, Genius Sports
Streaming Platform
$200-230k
1-3 days a week in office
Sports data and technology company
Open for applications
Sports data and technology company
1001+ employees
Open for applications
$200-230k
1-3 days a week in office
1001+ employees
Company mission
To be the must-have digital technology partner for all leagues, sports content distributors, sportsbooks, and brands.
Role
Who you are
- 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
- 8+ years of relevant data management (master data, metadata, data architecture, data governance, data quality) experience with heavy emphasis on software engineering
- 5+ years of experience leading engineering teams and building great engineering cultures
- Experience with conceptualization, design and assistance in the implementation of new and existing systems, middleware, MDM, metadata, data quality, data warehouse and production architectures
- Experience with Big Data have deep familiarity with high volume web services/APIs
- Expertise in real-time data streaming systems, ideally from a high transaction volume industry (e.g., financial/banking, online services, retail, etc.) using low-latency stream-processing technologies such as Kafka, Flink or Pulsar
- Experience with SQL and NoSQL databases. Excellent knowledge of performance tuning
- Strong understanding of at least one object-oriented programming language (C#, Java, JS, Kotlin, Python, PHP, Golang, C++) and the ability to effectively build production-ready code for higher-complexity tasks
What the job involves
- 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
- Partner with our Sports Tech /Data Collection teams to understand and support requirements for building human and computer-vision driven tools for collecting real-time sporting event data (passes, rushes, touchdowns, turnovers, etc.) at the team and individual player level
- Rationalize our various data collection tools to minimize the number of those being utilized/supported including sunsetting legacy tools, migrating customers off of those tools, evolving current tools, and building new tools where necessary
- 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
- Identify and analyze data sources (fixtures data, odds data, player and match data, product usage data, customer data, etc.) for onboarding and work with data source owners to understand data attributes available, value of onboarding this data; and methods for doing so
- Design, build, and maintain a robust, real-time big data pipeline to collect, aggregate, transform, and make available terabytes of rich betting, sports event, customer and product data/intelligence
- Design and implement processes for cleaning and transforming various data/data sources to ensure consistency, usability, and compliance
- Build robust end-to-end monitoring, alerting, and reporting capabilities to assist in maintaining highly functional, low latency, performant data processing
- Ensure all aspects of ETL design and data storage/retention align with defined best practices and Genius Sports internal security/privacy standards
- Working with a variety of stakeholders (sports betting, fan engagement, advertising, leagues/teams, etc.) to understand their business needs and make data available for consumption through a variety of push/pull mechanisms
- Lead the design of our warehousing architecture for key data sources such as fixtures data, odds data, player and match data, product usage data, customer data, etc
- Partner with our BI teams to build self-serve reporting tools (dashboards, cubes, etc.) to enable a broad set of stakeholders to access and mine our customer & product intelligence for insights on who our customers are and how they use our products & services
- Lead the creation of the API technical strategy, reviewing with domain experts and business stakeholders to ensure we can support the evolving needs of our data consumers
- Build, coach and lead a team of high-performing, passionate, platform and full-stack engineers, able to execute quickly without sacrificing quality
- Bring an ownership mindset to the table. Enable a team-first culture, where teams feel secure to iterate, fail and learn rapidly with accountability
- Ensure the team has the right resources, skills and time, managing stakeholders effectively to ensure that we can build a high-quality data product to support the organization
Our take
Genius Sports is a sports data and technology provider that acquires precise data about worldwide sports events. It then delivers data in the form of video streaming and integrity services to the sports, betting, and media ecosystem in order to empower them to create unique fan experiences.
The company differentiates itself through the fact that it has exclusive rights to access the official data of its over 240k covered events, being the official provider of critical data about these events. Since launching they have become the trusted partner of over 400 organisations such as NFL, NBA, FIFA, EPL, and NASCAR.
Genius Sports operates in a competitive field, with the likes of Sportradar and Stats Perform. However, the company's range of strategic acquisitions, partnerships, dMY Technology Group merger, and its impressive NYSE valuation have further increased its stake in this competitive industry.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Employee endorsements
Opportunities to learn
"There are so many intricacies in sports and sports strategy, that I'm always learning at Genius. And the opportunity to work on sports models for..."
Funding (1 round)
Oct 2015
$12.6m
GROWTH EQUITY VC
Total funding: $12.6m
Company benefits
- Annual leave allowance
- Skills training
- Fitness & wellbeing programme
- Work from home opportunities
- Health insurance
- Workcation (1 month working from anywhere worldwide)
- Volunteer Day
- World Mental Health Day off
- Christmas-New Year off
Company values
- One team - We use our collective intelligence to work towards shared goals. We never let egos get in the way. We look out for each other and communicate actively and openly
- Being brave - We think big and act boldly. We set ambitious goals that push boundaries and inspire us. We're obsessed with revolutionizing sports
- Driving change - We have a growth mindset. We seize opportunities that fuel our ambition. We go all in to make those opportunities a success
Company HQ
Soho, London, UK
Articles
Leadership
Mark Locke
(CEO)Under Mark’s leadership, Genius has grown exponentially to become one of the world’s largest sports data and technology companies.
People progressing
Katie joined in 2019 as a Legal Assistant in London. She combined two years of study with her role to qualify as a solicitor and is now based in NYC as a Foreign Legal Counsel - Regulatory Licensing.
Salary benchmarks
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Diversity, Equity & Inclusion at Genius Sports
- As well as having specific policies, practices, and training in place, we also operate a dedicated ‘Diversity & Inclusion Action Group’ of volunteers from all levels and areas of the business. This Group plays a key role in turning ideas into actions, and our volunteers have created and run original initiatives increasing awareness and understanding of issues including unconscious bias, racial equality, and neurodiversity across our business.
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