Senior AI Engineer @Gametime United
Artificial Intelligence
Salary $150,000 - $220..
Remote Location
🇺🇸 USA Only
Employment Type full-time
Posted Today

[Hiring] Senior AI Engineer @Gametime United

Today - Gametime United is hiring a remote Senior AI Engineer. 💸 Salary: $150,000 - $220,000 usd per year 📍Location: USA

Role Description

We’re building a new kind of engineering function at Gametime — one that sits within our CX teams, not beside them. As our first AI Engineer on the Ops team, you’ll be embedded directly within Fan Ops and Marketplace Ops as an AI Accelerator — working side-by-side with our customer experience and marketplace specialists to make AI the default mode for how the team operates.

Your job is to multiply what they can do. You’ll design and build production-grade agentic workflows that automate the repetitive, the analytical, and the operationally complex:

  • Fan issue triage
  • Seller risk monitoring
  • Marketplace optimization workflows

You’ll teach non-technical teammates how to work with AI tools and build their own automations. This is a hands-on, move-fast, build-first role. Your measure of success is the number of workflows you’ve permanently transformed and the degree to which operators in your cohort reach for an AI tool before anything else.

What You’ll Do

  • Identify and document the highest-leverage workflow transformations across Fan Ops and Marketplace Ops by deeply understanding how your stakeholders work and what slows them down.
  • Design and build agentic workflows that automate high-value ops tasks:
    • Fan issue triage and routing
    • AI-assisted response drafting
    • Refund and dispute resolution
    • Seller risk scoring
    • Event cancellation handling
    • SLA monitoring and escalation
  • Integrate with external and internal Gametime data systems to build tools that operate at the speed and scale our fan experience demands.
  • Build tools non-technical teammates can actually use — think clean UIs, Slack-based interfaces, scheduled agents, and knowledge retrieval systems.
  • Coach and partner with each operator through a progressive journey:
    • From awareness to first win
    • To regular AI integration
    • To full workflow transformation
    • To self-sufficiency
  • Recognize patterns across your cohort and systematically scale what works.
  • Teach and coach operations teammates on how to work with AI tools, build automations, and think in workflows.
  • Own the full lifecycle of what you build — from design through production deployment, monitoring, and iteration to impact.
  • Explore and evaluate new agentic frameworks, LLM capabilities, and AI tooling as the space evolves rapidly.
  • Help define the model for AI-embedded engineering across Gametime’s broader Operations org.

Qualifications

  • 4+ years of technical operations or software engineering experience, with at least 1 year building production LLM or agentic systems.
  • Experience building and deploying tools that non-engineers use in production.
  • Ability to work closely with non-technical stakeholders, translate their domain knowledge into technical requirements, and communicate what you’ve built in plain language.
  • Demonstrated experience coaching or enabling others — formally or informally.
  • Comfort with ambiguity — you’ll often be working from “here’s the problem” not “here’s the spec.”

Preferred

  • Experience in customer operations, CX tooling, trust and safety, or marketplace operations contexts.
  • Background in ticketing, e-commerce, or two-sided marketplace environments.
  • Familiarity with support tooling platforms.
  • Familiarity with RAG pipelines, vector databases, and evaluation frameworks.
  • Experience with data tools (SQL, dbt, Snowflake).
  • Prior experience in an embedded or cross-functional engineering role.
  • Background in consulting, solutions engineering, or other client-facing technical roles.

What Success Looks Like

In 90 days, you’ve shipped production agents that Fan Ops and Marketplace Ops teams use weekly without your involvement. You’ve materially reduced manual resolution time, improved fan satisfaction metrics, and freed up operator capacity. At least multiple teammates can build and modify automations themselves — and they start new tasks by reaching for an AI tool first.

Benefits

  • Competitive equity package
  • Flexible PTO
  • Medical, dental, and vision insurance
  • Life insurance and disability coverage
  • Family-forming benefits via Carrot Fertility
  • 401(k) and HSA
  • $1,200 annual Gametime event credits
  • Company off-sites and wellness programs
  • Tenure recognition

Compensation

United States - Pay Range: $150,000 — $220,000 USD

Gametime is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together.

Before You Apply
🇺🇸 Be aware of the location restriction for this remote position: USA Only
Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Senior AI Engineer @Gametime United
Artificial Intelligence
Salary $150,000 - $220..
Remote Location
🇺🇸 USA Only
Employment Type full-time
Posted Today
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Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
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