JOB AT GAMETIME UNITED
Sr. AI Engineer, CX
- Company: Gametime United
- Location: Remote (US)
- Posted
- Pay listed by the employer: $150,000–$220,000 a year
- Compare pay: AI Engineer salaries · Gametime United salaries
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Application facts
- Application system: Greenhouse
- Application form: from 2 forms we checked, 2 ask for a cover letter; about 3 questions only Gametime United asks per form. What it asks
- Pay benchmark: AI Engineer postings that list pay show a $185K median (435 postings)
- Pay benchmark: Gametime United postings that list pay show a $210K median (10 postings)
Job description
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Sr. AI Engineer, CX
United States - Remote
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About Us:
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 than 60,000 events 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 issue triage and routing, AI-assisted response drafting, refund and dispute resolution, seller risk scoring, event cancellation handling, SLA monitoring and escalation, and more
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 — not just scripts that only 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 tool built for one agent should become reusable for their peers across Fan Ops and Marketplace 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 the space evolves rapidly
Help define the model for AI-embedded engineering across Gametime’s broader Operations org
What We’re Looking For
Required
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 domain knowledge into technical requirements, and communicate what you’ve built in plain language
Demonstrated experience coaching or enabling others — formally or informally — with evidence 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’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 —particularly for knowledge retrieval and automated response generation
Experience with data tools (SQL, dbt, Snowflake) — enough to pull your own context without 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 roles where 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 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.
Compensation & 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
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.
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- Resume or CV: 2 of 2 forms
- Cover letter: 2 of 2 forms
- Work authorization: 2 of 2 forms
- Visa sponsorship: 2 of 2 forms
- Voluntary self-identification (EEO): 2 of 2 forms
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