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 personalised than ever before. Learn more at geniussports.com  

The Role - Senior Software Engineer (Broadcast Augmentation)  

You’ll work at the intersection of real-time broadcast augmentation and video distribution, building systems that enhance how live sports are experienced and delivered. In this role, you’ll develop real-time augmentation and video processing pipelines used in sports broadcast workflows. You’ll help shape low-latency, curated viewing experiences powered by intelligent content selection and rich data derived from optical and on-field sensor tracking. 

We believe live and post-game sports distribution is evolving rapidly, and this role plays a key part in defining what that experience becomes.

What you will use day to day 
You’ll primarily work with Rust, alongside substantial use of C++ and Lua in specific parts of the stack. You’ll also work across other languages and tools as you integrate systems and support internal workflows

Qualifications:

• Strong experience in lower-level software development 
• Experience working with concurrent, performance-sensitive systems  
• Ability to design, build, and maintain reliable, low-latency systems 
• Comfortable working across complex, distributed architectures 

Preferred Qualifications:  

• Experience in video engineering (capture, encoding/decoding, transport, synchronisation, quality) 
• Experience with real-time 3D or game graphics applied to interactive output  
• Hands-on experience with computer vision pipelines using media frameworks or libraries  
• Proven ability to lead features or subsystems from ambiguous requirements through to production  
• Experience improving system architecture, observability, and testing practices  
• Strong collaboration skills, including code reviews, pairing, and clear technical communication 

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

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 - Software Engineer (Video Player) 

You’ll be responsible for building, maintaining, and hardening our video player, with a strong focus on playback performance, rendering, integrations, and overall viewer experience. 

You’ll also contribute to broadcast augmentation features and the development tools used by our content team. Over time, there will be opportunities to expand your impact into our video processing pipeline and our content and augmentation engines. 

What you will use day to day 

You should expect to work in JavaScript and Rust almost every day, with some tasks needing other languages. The balance shifts by task (browser and player code, transcoder and augmentation-related tooling, API). You will predominantly work around video and augmentation

Qualifications:

You should meet at least one of the following: 

• Experience with lower-level software development, or
• Experience with video, ideally in the browser (for example streaming, timing, latency, encrypted playback), or
• Experience with three-dimensional or games graphics, ideally in the browser.
  
  

Preferred Qualifications:  

• Streaming or transcoding experience
• Sport graphics
• Automated quality assurance for media content 

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

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 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  

About the Role

We are looking for strong software engineers who are hungry to learn continuously and take ownership of the tools and products that they work on in accordance with best practices for Agile Software Development. We believe that a good engineer can move from one project to another and can learn new skills effortlessly if they are motivated by what they do. Don't let the language or framework you know now be a barrier to applying for the role you would like!  

We will lean on your technical expertise and your pragmatic approach to problem solving; working in a team that prioritizes the principles of Agile delivery and continuous improvement. You will have a Data-driven, evidence-based mentality, comfortable with the principles of continuous experimentation and validation.

Key Responsibilities

• Design, develop, and maintain data processing applications and services using Spark, Java, Kotlin
• Build and maintain ETL pipelines and Data Processing architectures
• Implement and manage relational databases, ensuring data integrity and performance.
• Optimize applications for maximum speed and scalability.
• Write clean, maintainable, and efficient code.
• Troubleshoot and debug applications.
• Stay up-to-date with emerging technologies and industry trends 

Qualifications 

• Proven experience as a Software Engineer.
• Proficiency in one distributed columnar data store (Spark, Hive, Redshift, Presto, Snowflake)
• Proficiency in a compiled language(Java, Scala, Kotlin, Python)
• Strong understanding of relational databases (e.g., MySQL, PostgreSQL).
• Familiarity with version control systems (e.g., Git).
• Excellent problem-solving skills and attention to detail.
• Ability to work independently and as part of a team.
• Strong communication skills. 

Preferred Qualifications 

• Experience with cloud platforms (e.g., AWS, Azure, GCP).
• Familiarity with Agile development methodologies.
• Experience with testing frameworks (e.g., JUnit). 
• Familiarity with Kubernetes / Docker

The base salary range for this role is $145,000 - $200,000. 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 - 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.

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 are looking for a Senior Full-Stack Software Engineer who brings deep technical expertise, strong ownership, and a continuous learning mindset to the tools and products they build. At this level, we believe great engineers operate effectively across problem spaces, lead through influence, and help shape both technical direction and engineering culture.  

You will be trusted to take on complex, ambiguous problems and drive them to successful outcomes, applying best practices in Agile software development along the way. We value engineers who can adapt quickly, learn new technologies as needed, and focus on delivering meaningful impact rather than being constrained by specific languages or frameworks.  

We will lean on your technical leadership, pragmatic decision-making, and ability to balance short-term delivery with long-term system health. You will work in an environment that prioritizes Agile principles, continuous improvement, and data-driven decision-making. You are comfortable forming and testing hypotheses, validating assumptions through experimentation, and using evidence to guide architectural and product decisions.    

Key Responsibilities 

• Design, build, and enhance features across our supply-side ad-tech platforms, contributing to both frontend and backend systems.  

• Collaborate with engineers, product managers, and stakeholders to deliver scalable, maintainable, and user-focused solutions.  

• Contribute to the design of system components, APIs, and services with an emphasis on clarity, reliability, and long-term maintainability.  

• Write high-quality, well-tested, and maintainable code across the stack, following established engineering standards and best practices.  

• Help improve application performance, scalability, reliability, and observability in critical systems.  

• Troubleshoot and resolve production issues, participate in root-cause analysis, and contribute to preventative improvements.  

• Contribute to a strong engineering culture with a focus on collaboration, quality, and continuous learning.  

Qualifications 

• Strong proficiency in multiple programming languages; we use Rust, Kotlin, and TypeScript.  

• Experience building and maintaining full stack applications and distributed systems in production environments.  

• Solid understanding of software architecture, scalable system design, and modern web development practices.  

• Ability to solve complex technical problems and make pragmatic decisions in evolving or ambiguous situations.  

• Experience designing and consuming APIs and integrating frontend and backend systems effectively.  

• Strong communication skills, with the ability to collaborate across disciplines and explain technical concepts clearly.  

• Commitment to code quality through testing, documentation, and maintainable design.  

Preferred Qualifications 

• Experience with AI-assisted development tools, agentic frameworks, or modern software development workflows.  

• Experience working with containers and cloud-native environments.  

• Familiarity with TDD and spec-driven development practices.  

• Experience with AdTech, especially solutions related to SSPs and DSPs. 

The salary for this role is based on an annualized range of $180,000 - $240,000 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: Director, Ad-Tech

The Genius Sports Ad-Tech Engineering Team is looking for a smart, talented, and experienced Director to lead our engineering team, responsible for further developing our growing Fan Activation platform. 

Our platform combines an audience graph of over 250 million users and our highest-fidelity, lowest-latency sports data platform (GeniusIQ) to deliver truly unique activation opportunities for our advertising partners. 

The ideal candidate will have a good understanding of system design and architecture, particularly for real-time systems, data warehousing and web application development. Key technologies we use are Rust, Snowflake, Temporal and NextJS. 

They will have experience within the advertising industry and have expertise and understanding of the programmatic advertising ecosystem. 

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 unique and complex problems.

Key Responsibilities 

Specific responsibilities for the Director, Ad Tech and his/her team include the following:

• Build, coach, inspire and lead multiple teams of high-performing, passionate, engineers across a range of disciplines (data engineering, real-time systems, full-stack development).  
• Enable a team-first culture, where teams feel secure to innovate, iterate, fail and learn rapidly with accountability. 
• Maintain excellent stakeholder relationships with product, commercial, operations and other engineering groups. Ensure cross-functional dependencies are well managed. 
• Balance business objectives (revenue goals, customer relationships), product objectives (rapid experimentation, market fit) and engineering goals (system cohesion, extensibility, reliability) effectively in a fast moving space. 
• Own the advertising platform architecture, guiding the evolution of a coherent system that supports numerous advertising applications. 
• Actively engage with the wider engineering community at Genius Sports.

  Qualifications  

• 8+ years of relevant software engineering experience, with a focus on high-volume, public-facing web applications or platforms.
• 3+ years of experience leading engineering teams and building great engineering cultures.
• 3+ years of experience in ad tech, programmatic advertising, or digital media technology companies
• Strong business acumen and experience contributing to roadmap and strategy discussions. 
• Experience with conceptualization, design, and implementation of new and existing distributed application systems, middleware, and production architectures.
• Experience working in a fast-moving space, establishing product market fit or scaling post product market fit. 

The salary for this role is based on an annualized range of $250,000 - $300,000 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.