By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalized than ever before. Learn more at geniussports.com. 

About the Role  

We’re looking for a Senior Software Engineer on our Sports AI team to help build the next generation of real-time AI systems powering sports analysis and insights. 

These systems transform live sports broadcasts (incorporating signals from video, crowd noise, audio commentary, and text) into a structured understanding of game context and auto-generated insights. The outputs from these systems power a range of products including automated highlight clipping, augmented broadcasts, semi-automatic play-by-play collection, and natural-language insight generation. For example, these systems can detect a goal, attribute it to the correct player, and localize where it occurred on the pitch within seconds by combining crowd noise spikes, commentary signals, and video cues. 

This role sits at the intersection of streaming and distributed systems, AI, and product engineering. You’ll build and operate real-time pipelines that process noisy, asynchronous inputs under tight latency constraints. These systems combine traditional streaming and data processing techniques with modern multimodal AI models to produce reliable outputs in production. 

You’ll work on challenges like aligning signals across multiple sources, handling uncertainty and inconsistency in model outputs, and designing systems that degrade gracefully in real-world conditions. We are early in building these capabilities, so the role involves working through ambiguity, experimenting with different approaches, and building new systems from first principles where established patterns don’t yet exist. 

Key Responsibilities 

• Design, build, and operate real-time streaming systems that convert live sports broadcasts into structured events, attributes, and insights
• Ingest and synchronize signals from video, audio, commentary, and data feeds under real-world latency and reliability constraints
• Integrate modern AI models into production systems, including multi-step pipelines where model outputs are composed, validated, and refined
• Design and implement evaluation and observability frameworks to measure system quality, including offline benchmarks, real-time metrics, and regression testing
• Develop mechanisms for identifying and handling uncertainty in model outputs, such as confidence scoring, validation checks, and human-in-the-loop workflows where appropriate
• Own systems end-to-end from early prototypes through production, making key architectural decisions around scalability, reliability, and performance
• Collaborate closely with product and data partners to shape, prioritize, and ship high-impact systems
• Mentor engineers and help establish best practices for building and operating applied AI systems in production 

  
Qualifications   

• 5+ years of experience building production-grade software systems 
• Strong software engineering fundamentals including system design, testing, observability, and performance 
• Experience building streaming, data-intensive, and/or distributed systems with real-time constraints
• Proven ability to design scalable systems that are robust under real-world conditions, including handling partial failures, inconsistent data, and latency tradeoffs
• Ability to evaluate system quality beyond traditional metrics (e.g., ambiguous or probabilistic outputs)
• Product-minded: able to translate ambiguous problems into practical, high-impact solutions
• Strong, demonstrated interest in building AI-powered features or systems; keep up with latest generative AI progress and capabilities
• Comfortable working in fast-moving, iterative environments with evolving requirements 

  
Preferred Qualifications   

• Hands-on experience integrating LLMs and other ML/AI systems in production workflows via platforms like Vertex AI or AWS Bedrock
• Experience building or maintaining human-in-the-loop workflows
• Familiarity with streaming systems and tooling (e.g., Pulsar, Kafka, Flink, etc.)
• Experience working with audio/video streaming and processing systems, including familiarity with media delivery protocols (e.g., HLS, DASH, RTP), container formats, codecs, and tooling such as FFmpeg or GStreamer
• Background or strong interest in sports
• Experience with Rust 

The salary for this role is based on an annualized range of $160,000 - $230,000 USD. This role will also be eligible to take part in Genius Sports Group's benefits plan.

We enjoy an ‘office-first’ culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location. Occasional travel may be required.

As well as a competitive salary and range of benefits, we’re committed to supporting employee wellbeing and helping you grow your skills, experience and career. Learn more about how rewarding life at Genius can be at Reward | Genius Sports. One team, being brave, driving change 

We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference. Learn more about our values and culture at Culture | Genius Sports.

Let us know when you apply if you need any assistance during the recruiting process due to a disability.

By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalized than ever before. Learn more at geniussports.com. 

The Role - Senior Software Engineer, Data Platform

We’re looking for a Senior Data Platform Engineer to help design and scale the foundational systems that power our data ecosystem. In this role, you’ll lead the architecture and modernization of our data infrastructure, enabling teams across the organization to discover, access, and act on data quickly, reliably, and securely. You’ll drive large-scale platform initiatives from concept to production, make thoughtful architectural tradeoffs, and partner closely with product and cross-functional stakeholders to shape engineering direction.

This is a highly technical leadership role ideal for someone with deep experience in distributed systems, modern data lakehouse and streaming architectures, and large-scale data operations—who is also passionate about mentorship, technical excellence, and building systems that have meaningful business impact.

What You'll Do

• Design, build, and maintain the Data Platform's foundational systems and features that enable internal teams to discover, access, and act on data quickly, reliably, and securely
• Drive the modernization of our data infrastructure, navigating technical complexity and making sound architectural tradeoffs to strengthen our foundation and increase organizational productivity
• Serve as a technical leader for large-scale Data Platform initiatives, driving architectural decisions and shaping engineering direction in close partnership with product and cross-functional stakeholders
• Provide technical mentorship to junior and mid-level engineers, upskilling the team and preparing them to take on greater responsibilities
• Stay up-to-date with emerging technologies and industry trends in data systems and platform development

 Qualifications 

• A proven track record, with 5+ years of hands-on experience in architecting distributed system architecture, guiding projects from initial ideation to successful production deployment
• A product-minded approach—you understand how our software impacts user experience and business outcomes
• Demonstrated mentorship and leadership experience, growing engineers and fostering a culture of technical excellence
• Excellent collaboration and communication skills, with the ability to influence across teams
• Broad expertise across the data systems engineering landscape, with deep experience in one or more of the following areas:
• Hands-on experience designing and operating modern data lakehouse systems (Iceberg, BigQuery, Clickhouse, etc.)
• Expertise in distributed data processing and streaming architectures, including Spark, Pulsar, Kafka, and Flink, with a strong understanding of batch vs. real-time trade-offs
• Experience working with large-scale datasets, including performance tuning, cost optimization, and observability in production environments
• Solid understanding of data modeling, schema evolution, and data quality practices in distributed data platforms

Preferred Qualifications 

• Experience with Rust
• Prior experience as a tech lead driving the adoption of foundational organizational systems and achieving buy-in from stakeholders
• History of open source contribution, particularly in the data systems ecosystem

The base salary range for this role is $180,000 - $220,000. There are a number of factors which affect what the specific pay offer would be for this role, including location, seniority, and relevant educational and working experience. This is base salary only – all full-time roles will also be eligible to take part in Genius benefits and some roles may be eligible to take part in a variable compensation plan. For more details on the compensation and benefits package, please get in touch with our Talent team.  

We enjoy an ‘office-first’ culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location. Occasional travel may be required.

As well as a competitive salary and range of benefits, we’re committed to supporting employee wellbeing and helping you grow your skills, experience and career. Learn more about how rewarding life at Genius can be at Reward | Genius Sports. 

One team, being brave, driving change  

We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference. Learn more about our values and culture at Culture | Genius Sports.  

Let us know when you apply if you need any assistance during the recruiting process due to a disability.

By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalized than ever before. Learn more at geniussports.com. 

The Role -  Senior Product Manager
We are seeking a Senior Product Manager to join our Data & AI team and lead product strategy for the platform capabilities that power the ingress, transformation, storage, and egress of highly granular, live sports data. 

The ideal candidate combines strong product instincts with deep platform thinking and technical fluency in real-time data systems. You should be equally comfortable defining long-term strategy, rationalizing legacy tooling, partnering with engineers on highly scalable data platforms, and enabling downstream analytics, AI, and API products. 

Responsibilities:  

This role sits at the center of our sports data ecosystem. You will work across Sports Tech, Data Collection, Engineering, BI, Data Science, Betting, Fan Engagement, Advertising, and commercial stakeholders to build the shared tools and platforms that capture, process, analyze, and distribute real-time team- and player-level sports data at scale.   You will play a key role in one or more of the following areas:   

Maintain and Modernize Data Pipelines 

• Identify, assess, and prioritize new data sources for onboarding, including fixtures data, odds data, player and match data, product usage data, customer data, and other relevant internal and external datasets.
• Partner with data owners and engineering teams to understand available attributes, business value, integration methods, and operational considerations for each source.
• Work with engineering to define, build, and evolve a robust, real-time data platform capable of ingesting, aggregating, transforming, and exposing terabytes of sports, betting, customer, and product intelligence data.
• Partner with engineering to design and implement scalable data cleaning, normalization, and transformation processes that improve data consistency, usability, and compliance.
• Drive requirements for end-to-end monitoring, alerting, observability, and reporting to ensure highly available, low-latency, and performant data processing across the platform.
• Ensure ETL design, schema management, storage, and retention practices align with internal best practices as well as security and privacy standards. 

Enable Data Warehousing, Reporting, and Advanced Analytics 

• Work closely with stakeholders across marketing, business intelligence, customer intelligence, product planning, and other functions to understand business needs and make data accessible for analysis and decision-making.
• Partner with BI and analytics teams to deliver self-serve reporting capabilities, including dashboards, semantic layers, cubes, and other tools that broaden access to customer and product intelligence.
• Support the evaluation and integration of advanced analytical tools and data workflows that enable data scientists and analysts to model customer behavior, generate predictive insights, and inform betting and personalized fan engagement use cases.
• Help define the data foundations needed to support AI and machine learning use cases across the business. 

Build, Maintain, and Evolve Data Distribution Tools 

• Partner with stakeholders across sports betting, fan engagement, advertising, leagues, and teams to understand their data consumption needs and deliver scalable distribution capabilities.
• Own the API and data distribution product strategy and roadmap, ensuring alignment with key internal and external stakeholders.
• Define and prioritize user stories and backlog items related to data sharing, API access, entitlements, delivery mechanisms, and partner integrations.
• Support the development of push- and pull-based distribution patterns that make data available reliably and efficiently across a range of products and customers.
• Partner with Advertising and Genius Marketing Suite stakeholders to enable audience management, segmentation, and targeting capabilities that power personalized advertising and fan experiences at scale. 

Lead Product Strategy and Cross-Functional Execution 

• Create clear product strategies, roadmaps, requirements, and success metrics for core data platform capabilities.
• Balance immediate business needs with long-term platform investments, technical debt reduction, and architectural evolution.
• Act as the connective tissue between business stakeholders, operational teams, and technical teams to ensure shared understanding and effective execution.
• Use data, customer feedback, and operational insights to prioritize investments and continuously improve platform reliability, usability, and value. 
  
  

Qualifications:  

• Significant product management experience, with meaningful experience owning data platform, infrastructure, API, or enterprise platform products. 
• Strong understanding of real-time data systems, data pipelines, ETL/ELT, data warehousing, APIs, and large-scale distributed platforms.  
• Experience working closely with engineering teams to deliver complex technical products and platform capabilities.  
• Demonstrated ability to define product strategy and execute in cross-functional environments with multiple stakeholders and competing priorities.  
• Strong analytical and problem-solving skills, with the ability to evaluate data sources, define business value, and make sound prioritization decisions.  
• Excellent written and verbal communication skills, including the ability to translate between technical and non-technical audiences.  
• Experience building or supporting products related to analytics, BI, machine learning, or AI-enabled use cases.  
• Comfort operating in fast-paced environments where reliability, scalability, latency, and data quality are business-critical. 
• Familiarity with live event data collection workflows, including operator-assisted and computer-vision-driven systems.  
• Experience with modern data platform technologies, streaming architectures, observability tooling, and cloud-based data ecosystems.  
• Exposure to identity, segmentation, personalization, or customer intelligence platforms.  
• Experience managing legacy platform modernization and migration programs. 

The salary for this role is based on an annualized range of $165,000 – $200,000. This role will also be eligible to take part in Genius Sports Group's benefits plan. 

As well as a competitive salary and range of benefits, we’re committed to supporting employee wellbeing and helping you grow your skills, experience and career. Learn more about how rewarding life at Genius can be at Reward | Genius Sports  
 
One team, being brave, driving change  
 
We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference. Learn more about our values and culture at Culture | Genius Sports.  
 
Let us know when you apply if you need any assistance during the recruiting process due to a disability. 

By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalised than ever before. Learn more at geniussports.com  

The Role – Product Designer 

We are looking for a Product Designer with strong UI and UX skills, capable of designing clear, scalable product experiences in fast-moving, data-rich environments. You work at the intersection of product, business, communication design, and engineering - translating complex sports data into intuitive, engaging interfaces. 

You actively use AI in your workflow and build AI-driven systems alongside engineers. You’re comfortable working with real-time data, ambiguous inputs, and evolving product requirements. 

Ideally, you are as comfortable opening Claude Code or Cursor as you are opening Figma and you see AI-assisted coding not just as a shortcut, but as a creative design tool. You understand that the future of sports experiences, from live match tracking to fan engagement and betting interfaces, will be built by designers who can both conceive and prototype them. 

You design and prototype end-to-end user flows across platforms (web, mobile, live data interfaces) and validate impact through rapid experimentation. You are hands-on: you move fast in Figma, build interactive demos, and are comfortable preparing partner-facing materials for leagues, broadcasters, sportsbooks, and digital platforms. 

What You’ll Do 

• Design intuitive interfaces for real-time sports data (scores, stats, tracking, odds, timelines). 

• Translate complex datasets into clear UX flows, dashboards, and scalable visual systems. 

• Prototype AI-driven features with product and engineering. 

• Use AI coding tools to build interactive prototypes and workflow-driven solutions. 

• Create wireframes, high-fidelity designs, and interactive prototypes. 

• Produce partner-facing materials (product demos, decks, landing pages) for leagues and clients. 

• Contribute to research (interviews, journey mapping) and validate ideas through rapid testing. 

• Collaborate with analytics to measure impact, run experiments, and iterate quickly. 

• Design experiences that drive fan engagement, partner value, and monetization. 
  
  

Qualifications & Skills 

• 3–5+ years in product / UX/UI design. 

• Strong UI skills: visual clarity, hierarchy, and ability to present complex data cleanly. 

• Strong UX thinking: flows, structure, edge cases, and real-time states. 

• Systems thinking: ability to design cohesive experiences across platforms and touchpoints. 

• Experience working with data-heavy or real-time products (sports, finance, analytics, etc.). 

• Proven AI experience: building prompt-based workflows, automation pipelines, or AI-assisted product features. 

• Hands-on prototyping: expert in Figma; comfortable building interactive prototypes in React / HTML / CSS or via AI coding tools. 

• Passion for AI-assisted design and “vibe coding,” with a builder mindset. 

• Research experience: interviews, usability testing, surveys, and synthesis into product decisions. 

• Comfortable working with analytics and experimentation frameworks. 

• Experience collaborating with multiple stakeholders in complex environments. 
  
  

Nice to Have 

• Experience in sports, gaming, media, or betting industries. 

• Familiarity with live sports data, odds, or real-time event systems. 

• Experience designing fan-facing products (apps, second-screen experiences, live match centers). 

• Ability to write functional front-end code or rapidly prototype using AI tools. 

• Strong interaction design and motion skills, especially for live and dynamic interfaces. 
• Experience with design systems at scale. 

The salary for this role is based on an annualized salary range of $135,000 - $160,000. This role will also be eligible to take part in Genius Sports Group's benefits plan.  

We enjoy an ‘office-first’ culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location. 

As well as a competitive salary and range of benefits, we’re committed to supporting employee wellbeing and helping you grow your skills, experience and career. Learn more about how rewarding life at Genius can be at Reward | Genius Sports. 

One team, being brave, driving change  

We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference. Learn more about our values and culture at Culture | Genius Sports.  

Let us know when you apply if you need any assistance during the recruiting process due to a disability.

By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalized than ever before. Learn more at geniussports.com   

The Role – Senior Software Engineer

We are looking for a senior software engineer to work on the systems and applications that power our automated, real-time GeniusIQ products. You will collaborate with Computer Vision and AI/Machine Learning teams to take models from research to production, ensuring they run reliably and efficiently in live environments. This includes building the services, orchestration layers, configuration tooling, monitoring and alerting systems, and internal operator interfaces required to manage, visualize, correct/enrich, and scale our automated data pipelines across thousands of global sporting events each year. 
 
What You'll Do 

• Design and develop systems and applications that power our automated, real-time GeniusIQ products including tracking data, analytics and event feeds, video products, and officiating technologies. 

• Own and implement features end-to-end across the stack, taking responsibility for the system lifecycle from configuring and managing on-premise hardware through reliable, real-time delivery of critical products to customers. 

• Lead technical discussions, drive architectural decisions, and identify opportunities to improve scalability, automation, and operational efficiency as we expand across new leagues and sports globally. 

• Design and maintain the foundational GeniusIQ platform that powers our live systems and supports development & iteration by other engineering teams building on this platform. 

• Design and improve testing and release strategies for complex, distributed systems — including backend services, web applications, data pipelines, messaging and streaming services, real-time model inference systems, and on-site hardware components. 

• Monitor, analyze, and continuously improve system performance, reliability, and scalability. Build solutions for simulating and replaying live inputs, system and metadata validation, automated evaluation and regression testing, and observability and alerting. 

• Design and build mechanisms for enabling human or agent-in-the-loop workflows that validate, correct, and enhance outputs from the system. 

  
What You’ll Bring:   

• Experience operating distributed systems. 

• Experience building real-time, interactive web frontends. 

• Experience designing APIs and integrating services. 

• Experience managing relational databases (schema design, indexing strategies, query optimization, performance tuning, migrations, and availability considerations). 

• Bachelor’s degree in Computer Science or equivalent experience. 

 
It’ll be a bonus if you know: 

• Rust, Elixir, TypeScript, Go, C++, Python 

• Postgres, relational databases 

• React, Three.js, HTML5 Video, and/or Canvas 

• REST, GraphQL, and gRPC APIs 

• Systems that run inference with Computer Vision or AI/Machine Learning models 

• AWS, Temporal.io 

• Docker, Kubernetes 

• Pulsar, RabbitMQ 

• WebAssembly 

The base salary range for this role is $175,000 - $220,000. This role will also be eligible to take part in Genius Sports Group's benefits plan. 

We enjoy an ‘office-first’ culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location. Occasional travel may be required. 

As well as a competitive salary and range of benefits, we’re committed to supporting employee wellbeing and helping you grow your skills, experience and career. Learn more about how rewarding life at Genius can be at Reward | Genius Sports.  

One team, being brave, driving change   

We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference. Learn more about our values and culture at Culture | Genius Sports.   

Let us know when you apply if you need any assistance during the recruiting process due to a disability. 

By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalized than ever before. Learn more at geniussports.com. 

The Role - Staff Engineer - Infrastructure Platform 

We are seeking a Staff Engineer to help lead critical initiatives of our core infrastructure platform. Genius Sports is currently in the process of aligning its various tech teams and acquisitions under one unified technical strategy. The infrastructure platform is the ground level of this change. The goal is to enable engineering teams to build, deploy, and operate Genius Sport’s massive product catalog in a consistent and cohesive manner. 

In this role, you’ll work with other InfraPlat leads to define and drive technical vision and implementation for a variety of projects. Some of these initiatives include multi-account/region Kubernetes clusters, MLOps, standardized deployments, and the company-wide authentication platform. In addition, you will engage with stakeholders from product engineering teams to scope requests, identify shared pain points within the org, and prioritize initiatives. 

What You’ll Bring

• 8+ years of experience building and operating infrastructure or devops platforms. 
• Experience architecting complex infrastructure with strict uptime and latency requirements across multiple regions.  
• Ability to navigate significant ambiguity and make sound technical decisions that hold up over time.
• Experience building applications and automations to eliminate toil for engineering teams. 
• Strong communication skills that enable you to drive platform adoption forwards for new teams.  
• Track record of making pragmatic tradeoff decisions across architecture, implementation, technical debt, and customer requests.
• Passion for mentorship and upleveling the team around you to maximize their full potential.

It’ll Be a Bonus if You Have 

• Experience managing hybrid edge infrastructure environments. 
• Experience with Rust in production. 
• History of open source contribution.
• Full stack software development experience with web applications or data pipelines.

The salary for this role is based on an annualized range of $230,000 - $260,000 USD. This role will also be eligible to take part in Genius Sports Group's benefits plan.

We enjoy an ‘office-first’ culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location. Occasional travel may be required.

As well as a competitive salary and range of benefits, we’re committed to supporting employee wellbeing and helping you grow your skills, experience and career. Learn more about how rewarding life at Genius can be at Reward | Genius Sports.

One team, being brave, driving change 

We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference. Learn more about our values and culture at Culture | Genius Sports.

Let us know when you apply if you need any assistance during the recruiting process due to a disability.