At Underdog, we make sports more fun.
Our thesis is simple: build the best products and we’ll build the biggest company in the space, because there’s so much more to be built for sports fans. We’re just over five years in, and we’re one of the fastest-growing sports companies ever, most recently valued at $1.3B. And it’s still the early days.
We’ve built and scaled multiple games and products across fantasy sports, sports betting, and prediction markets, all united in one seamless, simple, easy to use, intuitive and fun app.
Underdog isn’t for everyone. One of our core values is give a sh*t. The people who win here are the ones who care, push, and perform. If that’s you, come join us.
Winning as an Underdog is more fun.
- Design the future of sports entertainment. Shape the development of a cutting-edge data platform solutions that provides seamless, engaging, and scalable experiences for millions of sports fans globally
- Deliver best in class features and performance. Prioritize, execute, and oversee core initiatives that drive innovation and ensure data platform reliability at scale
- Build a winning engineering culture. Cultivate a collaborative, innovative environment that thrives on technical excellence, creativity, and shared passion for delivering impactful products
- Champion development best practices. Advocate for and implement engineering best practices, ensuring the team aligns with industry standards and maintains a high-quality codebase
- Collaborate to shape the product vision. Partner closely with data scientists and engineering leads to define features, plan delivery, and drive the development process from ideation to launch
- Research new technologies. Research and keep up to date on emerging technologies and trends and focus on iteratively implementing them into Underdog’s data platform systems
- At least 5 years of experience building microservices heavy backend systems in a cloud environment (e.g. AWS, GCP, Azure)
- Advanced proficiency with C++
- Experience with containerization and orchestration technologies such as Docker, Kubernetes, or ECS
- Experience with real time data processing frameworks such as Kafka, Flink, or Kinesis
- Highly focused on delivering results for internal and external stakeholders in a fast-paced, entrepreneurial environment
- Excellent leadership and communication skills with ability to influence and collaborate with stakeholders
- Experience with DevOps practices such as CI/CD pipelines, and infrastructure-as-code tools (e.g. Terraform, CDK)
- Experience with Go or Rust
- Strong interest in sports
- Prior experience in the finance industry
- Experience with pipeline optimization
Our target starting base salary range for this position is between $160,000 and $240,000, plus pre-IPO equity. Our comp range reflects the full scale of expected compensation for this role. Offers are calibrated based on experience, skills, impact, and geographies. Most new hires land in the lower half of the band, with the opportunity to advance toward the upper end over time.
- Unlimited PTO (we're extremely flexible with the exception of the first few weeks before & into the NFL season)
- 16 weeks of fully paid parental leave
- Home office stipend
- A connected virtual first culture with a highly engaged distributed workforce
- 5% 401k match, FSA, company paid health, dental, vision plan options for employees and dependents
#LI-REMOTE
Underdog is an equal opportunity employer and doesn't discriminate on the basis of creed, race, sexual orientation, gender, age, disability status, or any other defining characteristic.
California Applicants: Review our CPRA Privacy Notice here.
Top Skills
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
