Commercial Operations Engineer

Job not on LinkedIn

🕒 April 20

🌲 North Carolina – Remote

🌲 North Carolina – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

⚙️ Operations

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Gambling.com Group

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2006

🎲 Gambling

💰 Post-IPO Secondary on 2023-06

Gambling

Gambling. com Group is a company that provides digital marketing services for the global online gambling industry. It offers a platform where users can compare online gambling services, including casinos and sportsbooks, to make informed choices. The company focuses on providing insights, exclusive bonuses, and strategies for a wide variety of casino games and betting events. Gambling. com Group is publicly traded on the Nasdaq Global Market, and it aims to help consumers find the best gambling sites with in-depth reviews and expert advice.

📋 Description

• 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. • 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. • Lead the identification and scoping of agentic automation opportunities across commercial operations, this means proactively finding problems worth solving with AI, not waiting to be briefed. You are expected to surface opportunities, make the case for them, and own the build.

🎯 Requirements

• Experience in a commercial operations, revenue operations, or similar ops role, ideally within a digital media, affiliate, or multi-vertical online business • You have built AI agents and shipped them into a live production environment, this is the baseline requirement for this role, not an aspiration. • Demonstrable, end-to-end ownership of the agent development lifecycle, from identifying the commercial problem, writing the workflow brief, designing the prompt architecture, integrating tools, testing, deploying, and iterating post-launch. • Experience with AI platforms and tools such as Claude, Lovable, n8n, or equivalent, with specific, named examples of what you built on them, what it did, and how you measured whether it was working • Track record of designing and documenting operational processes, playbooks, and performance standards, including documentation of how agents are expected to behave, what good output looks like, and where human review is required • Experience establishing QA frameworks for AI-generated or automated outputs, setting performance benchmarks, monitoring for drift or failure, and iterating on agent behaviour based on real-world results • Comfortable owning and reporting on KPIs and OKRs, with experience building automated reporting infrastructure rather than pulling data manually.

🏖️ Benefits

• Comprehensive private Healthcare Insurance • Flexible work environment and home office available • Home office allowance • Gym & Leisure Allowance • All the hardware and software you need to be successful • Regular company events and social outings, activities, Spot Awards and a Monthly Social Club • Access to courses for Personal and Career Development • Company Paid Volunteer Day