Senior AI Product Engineer

About this role

Overview

• **Location:** 100% Remote (US & Canada)
• **Stage & Valuation:** $30M Valuation | $2M+ Raised (2024) | In $5M Round 2
• **Compensation:**

- Phase 1 (Immediate): Meaningful Day-One Equity + Occasional Cash Stipend
- Phase 2 (Post-Funding Close): $100,000 – $120,000 Base Salary + Full Benefits + Equity Performance Bonuses

• **Software Solutions**: Presently 4 in Market

The Opportunity

SportsBiz is modernizing the $100B sports sponsorship market with its DeepSport Solutions—our proprietary decision-intelligence platform that enables global brands to measure, optimize, and maximize their sponsorship investments.

We are looking for a high-autonomy engineer to build the SportsBiz platform from the ground up. You will bridge heavy data pipelines to polished user interfaces, owning architecture across the entire stack.

How We Work: AI-Native Engineering

We operate with an AI-first mindset. Our engineers leverage modern AI tools (Cursor, Claude Code, Copilot) to eliminate boilerplate and ship at 5x speed. We value deep architectural intuition over syntax memorization: you should know exactly when to let AI accelerate delivery and when to intervene with disciplined systems design.

What You’ll Do

• **Serve in Leadership Role**: He.lp lead team as player-coach due to increasing number of products under development

Ship Full-Stack Features: Build high-performance, responsive analytics interfaces in React supported by robust microservices in Node.js, TypeScript, and Python.

• **Integrate Lakehouse Data:** Interface directly with our **Databricks** architecture (Delta tables, Workflows, Jobs) to feed real-time analytics to user dashboards.
• **Own Cloud & DevOps:** Manage and scale our **AWS** footprint (ECS, Lambda, RDS, S3) using **Docker**, clean CI/CD pipelines, and reliable observability tools.
• **Architect for Scale:** Establish foundational patterns for authentication, data caching, logging, and error han...