Jobs at Underdog Fantasy

Positions 61,333

Underdog Fantasy is a leading daily fantasy sports platform that blends cutting‑edge data analytics with an engaging user experience. Founded in 2016 and headquartered in Austin, Texas, the company has grown into a $100M+ venture‑backed startup that partners with major sports leagues and offers real‑money contests for fans.

The company hires across engineering, product, data science, design, marketing, and business operations. Tech roles include full‑stack engineers, ML researchers, and data engineers, while product teams focus on user acquisition and feature roadmap. Candidates expect fast‑paced, collaborative environments with a strong emphasis on iterative testing and data‑driven decision making.

Job Transparency provides verified salary ranges, employee sentiment scores, and benefits summaries for Underdog Fantasy positions, allowing you to compare market rates and gauge workplace culture before you apply. With 270 open roles, you can pinpoint roles that match your experience and negotiate confidently.

No open positions at Underdog Fantasy right now.

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Frequently Asked Questions

What’s it like to work at Underdog Fantasy?
The culture is entrepreneurial, with a focus on rapid experimentation, cross‑functional collaboration, and a flat hierarchy that empowers engineers to shape product direction. Employees often cite flexible hours, remote options, and a strong emphasis on work‑life balance, while the startup vibe keeps projects short and impactful.
What types of positions are available?
Underdog Fantasy currently lists roles in software engineering, data science, product management, UX/UI design, marketing, sales, customer success, and operations. Roles range from junior developer to senior data scientist, and many positions support the company’s real‑time fantasy sports engine.
How can I stand out as an applicant?
Showcase a portfolio of data‑driven projects, especially those involving sports analytics or real‑time systems. Highlight experience with cloud platforms (AWS, GCP), containerization, and scalable microservices. Tailor your resume to the job description, quantify achievements, and provide a concise GitHub or code sample that demonstrates problem‑solving skills.

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