Senior AI Engineer, AI Enablement - GameChanger

About GameChanger

We believe in the life-changing impact youth sports have on and off the field because they encourage leadership, teamwork, responsibility, and confidence—important life lessons that have the power to propel our youth toward meaningful futures. We recognize that without coaches, parents, and volunteers, organized youth sports could not exist. By building the first and best place to experience the youth sports moments important to our community, we are helping families elevate the next generation through youth sports.

So if you love sports and their community-building potential, or building cool products is your sport, GameChanger is the team for you. We are a remote-first, dynamic tech company based in New York City, and we are solving some of the biggest challenges in youth sports today.

The Position

GameChanger is building an AI Enablement team to transform how software is developed across the company. As a Senior AI Engineer, you’ll build AI-powered developer tooling, agentic workflows, and shared capabilities that help our engineering teams move faster and deliver with confidence.

As an early member of this team, you’ll help shape our technical approach and priorities. You’ll work directly with engineering teams to understand their challenges, identify high-impact opportunities, and take solutions from experimentation through production rollout and ongoing improvement. Initial focus areas include AI-assisted code review, testing and validation, issue triage, and the shared infrastructure that supports effective AI use across the organization.

This role is ideal for a hands-on engineer with production AI experience, strong backend and full-stack fundamentals, and a desire to multiply their impact by enabling others. You’ll bring technical judgment, curiosity, and initiative to a small team with an evolving roadmap and meaningful ownership. You will report to the Senior Engineering Manager, AI Enablement.

What You'll Do

• Identify Opportunities: Partner with engineering teams to understand their workflows, identify high-impact opportunities to improve software development with AI, and shape practical solutions.
• Build & Deploy Tooling: Independently design, build, deploy, and operate production-grade AI tooling and agentic workflows, owning projects from discovery and technical design through rollout and iteration.
• Develop Workflows: Create AI-assisted engineering workflows, including code review, testing and validation, issue and crash triage, and development automation.
• Evolve Infrastructure: Build and evolve shared AI infrastructure that supports model access, vendor integrations, usage observability, and cost controls.
• Measure Impact: Create evaluation frameworks, monitoring, and feedback loops to measure reliability, adoption, and impact on engineering productivity and software quality.
• Create Reusable Patterns: Develop reusable skills, plugins, integrations, and engineering patterns that support teams across backend, web, iOS, and Android.
• Drive Adoption: Partner hands-on with teams, providing documentation, training, and ongoing feedback to help them integrate AI into their everyday work.
• Collaborate Across Teams: Partner with Security, Platform, Quality Engineering, Product, and Design to establish appropriate guardrails, support codebase modernization, and evaluate when to build, buy, or adapt emerging AI capabilities.

Who You Are

• Experience: 5+ years of software engineering experience, with strong backend and full-stack fundamentals and experience designing and operating complex production systems.
• AI Expertise: Personally built, deployed, and supported AI-powered systems or agentic workflows used by teams in a professional environment, with experience improving them after launch.
• Technical Depth: Practical depth in LLMs, tool use, agentic workflows, retrieval, and evaluations, along with experience incorporating AI into your own software development workflow.
• Problem Solver: Ability to turn ambiguous problems into useful solutions, make sound technical tradeoffs, and drive work independently from concept through adoption.
• Strong Communicator: Clear communication skills and ability to work effectively across teams, translating user needs into technical solutions. Experience in developer tooling, developer experience, or platform enablement is a plus.
• Analytical Mindset: Ability to measure the quality and impact of AI systems through evaluations, observability, usage, feedback, and productivity outcomes. Comfortable learning across technology stacks; direct iOS or Android experience is a plus.

Perks & Benefits

• Flexible Work: Work remotely throughout the US (excluding AK, DE, HI, IA, LA, MS, MT, OK, and SC) or from our modern office in Manhattan, NY.
• Unlimited Vacation: Flexible time off policy.
• Volunteer Time: Paid volunteer opportunities.
• Stipends: $4,000 technology stipend every 2 years, $500 annual WFH stipend, and monthly lifestyle/wellness stipends through Holisticly and Fringe.
• Health Benefits: Full medical, dental, vision, prescription, FSA, HRA, HSA, and coverage for family/dependents.
• Retirement: Traditional and Roth 401K plans through Vanguard with an immediate company match.
• Insurance: Basic life, supplemental life, dependent life, and short/long-term disability leave.
• Parental Leave: Up to 20 weeks for birthing parents and up to 12 weeks for non-birthing parents.
• Family Building: Benefits offered through Progyny.
• Discounts: Teammate discount for DICK'S Sporting Goods and family brands.

Our Interview Process & AI

AI is fundamental to how we envision the future of software development at GameChanger, and we believe great engineers know how to use it thoughtfully and effectively. Portions of the interview process for this role will incorporate AI tools so we can understand how you work through real engineering problems.

We’ll clearly communicate expectations for each stage, including when AI use is encouraged or expected and when we want to understand your individual thinking. We’re interested in how you frame problems, guide and validate AI-assisted work, make technical decisions, and deliver high-quality outcomes.