Commercial Operations Engineer

Gambling.com Group • Charlotte, NC

1d • Remote

About The Position

Gambling.com Group (Nasdaq: GAMB) is a multi-award winning provider of marketing and sports data services in the online gambling industry. This is an AI engineering role embedded in a commercial function, where the primary output is building, owning, and iterating on AI agents and automated workflows. The Commercial Operations Engineer will support the commercial function in optimizing vertical site performance to drive revenue across all channels by identifying and building AI agents and automated workflows to replace or accelerate manual commercial processes. The role involves acting as the primary operational owner of commercial operational processes, conducting competitor analysis, developing new commercial process and agentic workflow ideas, and collaborating with product and marketing teams to drive operational improvements. A core aspect of the role is leveraging AI to enhance internal software and tooling to build effective, transparent internal processes, with an expectation of active building rather than just recommending solutions.

Requirements

• Experience in a commercial operations, revenue operations, or similar ops role, ideally within a digital media, affiliate, or multi-vertical online business.
• Built AI agents and shipped them into a live production environment.
• 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.
• Ability to demonstrate, with specific examples, that you have built and deployed at least one AI agent in a professional context and can walk through exactly what it did, how you built it, where it failed, and what you did to fix it.
• Ability to demonstrate, with specific examples, that you have designed prompt architecture for a production workflow.
• Ability to demonstrate, with specific examples, that you have integrated AI agents with external tools, platforms, or data sources as part of a live commercial or operational workflow.
• Ability to demonstrate, with specific examples, that you have identified a commercial or operational problem, translated it into an agent build brief, built the solution yourself, and measured the outcome.
• Ability to demonstrate, with specific examples, that you have established and enforced QA standards for automated outputs, including defining what human review is required and building the process to ensure it happens consistently.
• Ability to demonstrate, with specific examples, that you have iterated on a deployed agent based on performance data or stakeholder feedback, treating it as a live product, not a finished project.
• Prompt architecture and agent design, able to structure AI instructions for production-grade reliability.
• Tool integration, comfortable connecting AI agents to external platforms, APIs, data sources, and internal tooling as part of a live workflow build.
• Commercial judgement, able to prioritise build decisions based on revenue impact and business context, identifying which automation opportunities are worth the investment.
• Process design instinct, able to map a commercial problem, identify the automation opportunity within it, and design a structured agent-based solution.
• Strong cross-functional communication, able to translate between commercial stakeholders who define the problem and technical counterparts who support the infrastructure.
• Rigorous approach to AI output review, understanding that what an agent produces at scale is your responsibility, and building QA into every deployment accordingly.

Nice To Haves

• Experience in the affiliate, igaming, media, or performance marketing sectors.
• Familiarity with competitor analysis methodologies in a commercial context.
• Exposure to product or engineering teams in a workflow or tooling capacity.
• Experience building agents that operate across multiple tools or platforms simultaneously (multi-step, multi-tool agent architectures rather than single-task automations).

Responsibilities

• Support the commercial function in commercially optimising vertical site performance to drive revenue across all channels.
• Identify where AI agents and automated workflows can replace or accelerate manual commercial processes, and then build them.
• Act as the primary operational owner of commercial operational processes across all verticals, owning the AI and automation layer that powers those processes.
• Conduct ongoing competitor analysis.
• Develop new commercial process and agentic workflow ideas.
• Collaborate with product and marketing teams to drive operational improvements, using AI tooling to run analysis at scale, generate workflow concepts, and prototype solutions.
• Collaborate with commercial leadership to set, manage, and monitor BAU processes, KPIs, and OKRs across the commercial operations function.
• Build AI-assisted reporting and monitoring infrastructure so that performance visibility is automated.
• Leverage AI to enhance internal software and tooling to build effective, transparent internal processes across commercial operations.
• Identify inefficiencies and bottlenecks across commercial operations and design structured solutions, primarily agents or automated workflows.
• Own the design and deployment of operational workflows that reduce manual effort and improve output quality and consistency across the commercial team.
• 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.
• Lead the identification and scoping of agentic automation opportunities across commercial operations.
• Own and build the full development lifecycle for commercial agents across all commercial operations, from problem definition and workflow brief through to prompt architecture, tool integration, testing, deployment, and post-launch iteration.
• Ensure quality, accuracy, and commercial alignment of all automated outputs, establishing QA standards and performance benchmarks for every agent deployed.
• Iterate on agent performance post-deployment based on commercial data, stakeholder feedback, and operational signals.
• Establish and oversee QA processes across all commercial operations workflows, including designing the human review layer that sits alongside AI-driven outputs.
• Generate, analyse, and present operational KPI reports to senior stakeholders, using AI-assisted tooling to automate data aggregation and surface anomalies.
• Monitor workflow and agent performance, surfacing actionable recommendations to commercial leadership on a regular basis.
• Operate as the internal expert on AI-enabled tools including Claude, Lovable, and others, understanding these platforms deeply enough to build production-grade commercial workflows.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed