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Commercial Operations Engineer

Grandstand
CompanyGrandstand
CategoryEngineering
LocationCharlotte
RemoteOn-site (inferred)
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted19 Apr 2026
Last verified30 Jul 2026
SourceEmployer career page (greenhouse)
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Description
Grandstand (Nasdaq: GRSD) is the intelligence layer of sports, gaming and entertainment. We build the brands people trust, the data our partners depend on, and the technology this industry runs on with exceptional people, not shortcuts. OpticOdds delivers enterprise-grade data infrastructure to B2B partners worldwide, while OddsJam and RotoWire put that same real-time intelligence directly into the hands of consumers.  On the gaming and entertainment side, our portfolio includes some of the biggest names in the space: Gambling.com , Casinos.com , Spotlight.Vegas , and WhichBingo.co.uk . Our flagship sites reach millions of consumers every month. We're the first, and only, U.S. publicly traded company of our kind, and the first company to win EGR's Affiliate of the Year three times. We hold every hire to the same five standards: Taste, Agency, Speed, Craft, Responsibility. Functions and Scope This is an AI engineering role embedded in a commercial function. The primary output of this role is agents and automated workflows — built, owned, and iterated on by you. Commercial knowledge informs what gets built. The building is the job. Commercial Operations & Optimisation Support the commercial function in commercially optimising vertical site performance to drive revenue across all channels — doing so primarily by identifying where AI agents and automated workflows can replace or accelerate manual commercial processes, and then building them. Act as the primary operational owner of commercial operational processes across all verticals,which in practice means owning the AI and automation layer that powers those processes, not just the processes themselves. Conduct ongoing competitor analysis, develop new commercial process and agentic workflow ideas, and collaborate with product and marketing teams to drive operational improvements,using AI tooling to run analysis at scale, generate workflow concepts, and prototype solutions faster than traditional approaches allow. Collaborate with commercial leadership to set, manage, and monitor BAU processes, KPIs, and OKRs across the commercial operations function,building AI-assisted reporting and monitoring infrastructure so that performance visibility is automated, not manual. Leverage AI to enhance internal software and tooling to build effective, transparent internal processes across commercial operations,this is not a peripheral responsibility, it is the core mechanism through which this role delivers value. You are expected to be actively building, not just recommending. Workflow Architecture & Process Design Identify inefficiencies and bottlenecks across commercial operations and design structured solutions,your default answer to an inefficiency is an agent or an automated workflow, with manual process redesign as the fallback where automation is not yet viable. Own the design and deployment of operational workflows that reduce manual effort and improve output quality and consistency across the commercial team ,from initial architecture through to live deployment, with measurable reduction in human effort as the success metric. Develop and maintain playbooks and performance standards for all commercial workflows, including documentation of how each AI agent or automated workflow is expected to behave, what good output looks like, and where human review is required. Coordinate with sales and commercial leadership on operational prioritisation and workflow sequencing,translating commercial priorities into a build roadmap for agents and automations, and managing that roadmap actively. Agent & Automation Development This is the core of the role. You will be building AI agents. Not scoping them for others to build, not advising on them, not reviewing them after the fact — designing, building, deploying, and iterating on them yourself, end to end. If you have not built and shipped an AI agent in a
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