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.
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.
Skills Required
- 4+ years of technical operations or software engineering experience
- At least 1 year building production LLM or agentic systems
- Experience building and deploying production tools used by non-engineers
- Ability to collaborate with nontechnical stakeholders, translate domain knowledge into technical requirements, and communicate technical work plainly
- Demonstrated experience coaching or enabling others, with evidence of changed work practices
- Comfort working with ambiguity and loosely defined problems
- Experience in customer operations, CX tooling, trust and safety, or marketplace operations
- 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 SQL, dbt, and Snowflake data tools
- Prior experience in an embedded or cross-functional engineering role
- Background in consulting, solutions engineering, or client-facing technical roles
Gametime Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Gametime and has not been reviewed or approved by Gametime.
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Healthcare Strength — Comprehensive medical, dental, and vision coverage is highlighted, with self‑funded plans and HSA/FSA options noted alongside wellness initiatives. Some indications of company‑paid premiums further point to strong cost coverage.
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Equity Value & Accessibility — Equity is presented as a standard component across many roles, and stock options are called out positively. Technical and senior opportunities commonly feature equity alongside competitive cash.
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Wellbeing & Lifestyle Benefits — Monthly credits to attend live events, a remote‑first setup with home‑office support, and periodic meetups are emphasized. These lifestyle‑oriented perks add meaningful value beyond base pay.
Gametime Insights
What We Do
Gametime sells last-minute tickets to the most popular events in sports, music, and theater in more than 50 cities across the U.S. and Canada. We’re passionate about enabling incredible shared experiences, so we build technology that gets people out into the real world together. With a bias for spontaneity, we’re focused on making the process simple and smooth while you’re on the move. We eliminated the need for printing tickets and built a better way to access the best live experiences right from your phone – so you can skip the hassle and enjoy the moment.
