Open role
Founding Sports AI Engineer
San Francisco Bay Area (in-person) · Full-time
Help build the next generation of sports intelligence, from data and AI systems to live insights and customer delivery, while helping define the product and company from an early stage.
The opportunity
We are looking for a small number of exceptional engineers to help build the next generation of sports intelligence.
You will sit with on-air talent, athletes, and production teams — learning how live shows actually run and shipping tools they rely on in real time.
This is a founding role with broad responsibility across what we build and ship: data, agents, live insights, and the products customers use every day.
Competitive compensation for founding team members.
About Blitz
At Blitz, we are building the agentic sports engine. Our technology powers conversational search, live game intelligence, automated research, content generation, and custom AI experiences for broadcasters, leagues, media companies, fantasy platforms, and beyond.
Our customers include MLB Network, Fox Sports, Marquee Sports Network, NBC Sports Philadelphia, and the broadcasters and former players who use Blitz on air — Matt Vasgersian, Ryan Spilborghs, Justin Morneau, Jenny Cavnar, and others.
We are a small, in-person team based in San Francisco with an ambitious roadmap and a lot left to build. This is a chance to help define both the product and the company from an early stage.
What you will do
- Maintain and improve data quality across historical and live datasets
- Build and monitor ingestion pipelines and expand AI reasoning coverage
- Improve live insight generation, pregame research packets, and automated content
- Work directly with broadcasters, athletes, and production teams to ship on-air-ready tools
Qualifications
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- Authorized to work in the U.S. without visa sponsorship (Blitz does not sponsor visas for this role)
- Strong software engineering experience building production systems
- Python and modern backend development; comfort across AI, APIs, and product
- Ability to own large technical systems with minimal oversight
- Strong sports knowledge and genuine curiosity about how sports data, strategy, and storytelling come together
- Comfort using AI tools in your workflow to move faster, from coding and debugging to research and prototyping
Bonus
- Experience with LLMs, AI agents, or retrieval systems
- Early-stage startup or sports analytics / broadcast background