S
Senior Full Stack AI Engineer
SportsBiz Group Inc
3d ago
0$100k - $125kDevRemote, USjobspy_indeed
remoteindeed
Job Description
**Senior Full Stack AI Engineer**
* **Compensation:** $100,000 \- $120,000 Base \+ Equity \+ Benefits (Triggered upon completion of our current **$5M Round 2 Capital Raise**; Equity \+ Occasional cash stipends provided upon joining).
* **Prior Capital Raise: $2M in 2024**
* **Current Company Valuation: $30M**
* **Location:** Fully Remote (US / Canada)
* **Type:** Full\-time
**The Opportunity**
Are you passionate about building clean, scalable software? Do you thrive in an early\-stage startup where your code directly shapes the product's direction?
SportsBiz (SportsBiz.com) is disrupting the $100B sports sponsorship industry.
Through its **DeepSport Solutions**, our proprietary analytics and decision\-intelligence platform, we empower major brands to *optimize* their sponsorship spend, *maximize* sponsorship activation, and *multiply* the value generated through their sponsorship investments.
We are looking for a highly skilled, motivated **Senior Full Stack Engineer** to help build the SportsBiz Application Platform from the ground up. You’ll own features from frontend to backend, delivering elegant, high\-performance tools that shape the future of sports marketing.
**The Reality of Early\-Stage Building**
Transparency is our core value. We are currently preparing to close our $5M second\-round funding.
* **Phase 1 (Now):** You will receive meaningful equity ownership from day one alongside occasional cash stipends.
* **Phase 2 (Post\-Funding):** You will transition immediately to your full base salary ($100k–$120k), equity performance bonuses, and full benefits.
*If you are energized by the sweat\-equity phase of a startup and want true ownership, this is your sandbox.*
**How We Work: AI\-First Engineering**
At SportsBiz, AI isn't a tool you reach for occasionally—it’s a core team member. We expect our engineers to deeply integrate AI coding assistants (Cursor, Claude Code, Copilot) into their daily workflow.
This doesn't mean a lower bar for engineering; it means a higher one. We aren't looking for code\-copy\-pasters. We want elite engineers who know exactly when to lean on AI to eliminate boilerplate and accelerate development, and exactly when to override it because human architectural intuition is required. You will spend less time on mundane syntax and more time solving the complex data problems that actually move the needle.
**What You’ll Do**
As a senior member of our lean engineering team, you will bridge the gap between user\-facing features and heavy\-duty data engineering.
**Full\-Stack Development**
* Build and optimize slick, highly responsive frontend analytics interfaces using **React**.
* Design resilient, high\-performance backend APIs and microservices in **Node.js, TypeScript, and Python**.
**Databricks Integration**
* Partner with Data Science to connect our app to Databricks Jobs, Workflows, and ML pipelines.
* Build backend services that trigger, monitor, and consume data directly from our Lakehouse ar
