Sr. AI Engineer, CX

Gametime; Northern (KY); Hybrid; USD 150,000 - 220,000; Full time

Benefits offered by this job

Equity package

Flexible PTO

Medical, dental, and vision insurance

Life insurance and disability coverage

Carrot Fertility family-forming benefit

401(k) and HSA

Gametime event credits

Off-sites and wellness programs

Tenure recognition

Job summary

Gametime is seeking an AI Engineer in Operations to embed AI into Fan Ops and Marketplace Ops. You’ll design production-grade agentic workflows, automate high-value tasks, and coach non-technical teammates to adopt AI tools. The role is hands-on, fast-moving, and focused on tangible impact in resolution times and fan satisfaction.

You will work within an embedded Ops ecosystem, building scalable automations that transform how operators work and how data and AI tools are used daily across the 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 — not just internal dev tooling.
• Ability to work closely with non-technical stakeholders, translate their knowledge into technical requirements, and communicate what you’ve built clearly.
• Demonstrated experience coaching or enabling others — with evidence that people you’ve helped changed how they work.
• Comfort with ambiguity — often working from problems rather than a fixed spec.

Responsibilities

• Identify and document high-leverage workflow transformations across Fan Ops and Marketplace Ops.
• Design and build agentic workflows that automate high-value tasks (issuetriage, routing, AI-assisted responses, etc.).
• Integrate with Gametime data systems to build fast, scalable tools.
• Create user-friendly tools for non-technical teammates (UIs, Slack interfaces, scheduled agents).
• Coach operators through AI adoption and workflow transformation.
• Scale reusable automations across teams and functions.
• Own end-to-end lifecycle from design to production deployment and monitoring.

Skills

Operations experience

LLM/agentic systems

Stakeholder communication

Coaching others

Ambiguity tolerance

Tools

RAG pipelines

Vector databases

SQL

dbt

Snowflake

Job description

Live experiences help people cross today’s digital divide and focus on what truly connects us – the here, the now, this once-in-a-lifetime moment that’s bringing us together. To fulfill Gametime’s mission of uniting the world through shared experiences, we make it easy for people to discover and access the live experiences that matter most.

With platforms on iOS, Android, mobile web and desktop supporting more than60,000events across the US and Canada, we are reimagining the event ticket industry in order to move at the speed of life.

The Role

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. Not an occasional tool. The foundation of how every operator at Gametime executes. Today, our ops teams are already resourceful and fast. 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 — from fan issue triage to seller risk monitoring to marketplace optimization workflows. You’ll teach non-technical teammates how to work with AI tools and build their own automations. And you’ll help establish the playbook for embedding AI capability across the entire Operations org. 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. If you’re looking to advise and document, this isn’t it. If you want to build things that go into production the same day and see the impact directly in resolution times and fan satisfaction, read on.

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 issuetriage and routing, AI-assisted response drafting, refund and dispute resolution, sellerrisk scoring, event cancellation handling, SLA monitoring and escalation, and more
• Integrate with external and internal Gametime data systems to build tools that operate atthe speed and scale our fan experience demands
• Build tools non-technical teammates can actually use — think clean UIs, Slack-basedinterfaces, scheduled agents, and knowledge retrieval systems — not just scripts thatonly you can run
• 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 — a toolbuilt for one agent should become reusable for their peers across Fan Ops andMarketplace Ops
• 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 thespace evolves rapidly
• Help define the model for AI-embedded engineering across Gametime’s broaderOperations org

What We’re Looking For

Required

• 4+ years of technical operations or software engineering experience, with at least 1 yearbuilding production LLM or agentic systems
• Experience building and deploying tools that non-engineers use in production — not justinternal dev tooling
• Ability to work closely with non-technical stakeholders, translate their domain knowledgeinto technical requirements, and communicate what you’ve built in plain language
• Demonstrated experience coaching or enabling others — formally or informally — withevidence that people you’ve helped actually changed how they work
• Comfort with ambiguity — you’ll often be working from "here’s the problem" not "here’sthe spec"

Preferred

• Experience in customer operations, CX tooling, trust and safety, or marketplaceoperations 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 —particularly for knowledge retrieval and automated response generation
• Experience with data tools (SQL, dbt, Snowflake) — enough to pull your own contextwithout needing a data analyst for everything
• Prior experience in an embedded or cross-functional engineering role
• Background in consulting, solutions engineering, or other client-facing technical roleswhere you had to earn trust before transforming how someone works

What Success Looks Like

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

• 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

At Gametime pay ranges are subject to change and assigned to a job based on specific market median of similar jobs according to 3rd party salary benchmark surveys. Individual pay within that range can vary for several reasons including skills/capabilities, experience, and available budget.

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. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their "race, color, religion, veteran status, sex, parental status, gender identity or expression, transgender status, sexual orientation, national origin, age, disability or genetic information." We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our company.