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Novig is hiring a Full Stack Engineer

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85 5th Avenue, New York, NY, 10003
Posted 3 months ago
149 views

Job Description

Full Stack Engineer

$170k – $210k • meaningful equity

About Novig

Novig is building America's #1 sports prediction market. Founded by Jacob Fortinsky and Kelechi Ukah, we are the only platform to offer commission-free sports trading. We deliver better pricing, full transparency, and a more efficient market structure for users by eliminating the traditional sportsbook model.

Backed by the best - Novig has raised over $100M from some of Silicon Valley’s top investors including Pantera, Forerunner, Lux, NFX, Paul Graham, and Joe Montana.

Who we are

We’re here to fix a rigged system where the house always wins and sports fans always lose. Novig is building the future of sports betting. Our mission is to financialize and democratize sports betting - transforming it from a closed, casino-controlled system into a two-sided, fair, efficient market where users have the power.

Who you are and why this role will excite you

  • Excited to work across the full stack to build the next generation of sports betting infrastructure

  • Apply technologies used in modern financial exchanges to enforce transparent, efficient market practices while delivering a seamless user experience

  • Play a key role shaping both the market engine and the interface through which users engage with it

  • Build and maintain a developer-first API experience for algorithmic trading and power users

  • Expand product features by extending modular backend services and contributing to frontend components

  • Scale real-time data ingestion, processing, and distribution pipelines

  • Collaborate closely with Design and Product teams to build performant, intuitive user interfaces

  • Contribute to architecture and system design decisions across the stack

  • Improve observability and reliability across backend and frontend systems

  • Bring a passion for sports, markets, and technology, with curiosity about complex computer science challenges

  • Hold a Bachelor’s or Master’s degree in Computer Science or a related technical field

  • Possess 3+ years of professional experience building full-stack applications

  • Proficient in a systems programming language (e.g., Rust, Go, C++) and at least one modern frontend framework (e.g., React, Vue)

  • Experienced developing distributed systems with cloud-based architecture

  • Strong product intuition with the ability to translate business needs into technical solutions

  • Communicate clearly, solve problems effectively, and thrive both independently and in fast-moving, cross-functional teams

Why work here, in the words of the people who do

“I work with extremely stellar people, I own real systems, and decisions happen fast. No politics, no waiting for needless red tape. If something's broken, I fix it. If I build something good, it ships.”

“The people! So smart, thoughtful, fun to work with, passionate about their craft, etc”

“I'm having the most fun I've had in my entire career.”

If you want responsibility, trust, and the chance to help build the future of sports prediction markets - take your shot, we’d love to connect.

Not for everyone

  • Our work is tied to live sports - that means potential nights, weekends, and pressure included.

  • If you need clear swim lanes, a heavy process, or someone to tell you what to do, this won’t be the right environment.

Compensation & benefits

  • $170k – $210k base, benchmarked at top-tier tech companies

  • Meaningful equity for every employee, regardless of role

  • 100% health premiums covered

  • 99% dental & vision covered

  • 401(k) with 4% company match

  • HSA + $1,080 annual company contribution

  • $27/day lunch stipend when working from our NYC office

  • $35/day dinner stipend when working from the NYC office after 6:30pm

Homebase

Union Square, NYC
In-person 4 days a week - we like being around each other (don’t worry there are snacks).


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Salary Information

Salary: $120,000 - $140,000

🤖 This salary estimate is calculated by AI based on the job title, location, company, and market data. Use this as a guide for salary expectations or negotiations. The actual salary may vary based on your experience, qualifications, and company policies.

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