Senior Marketing Operations Engineer, AI & Automation at CommandLink

United Kingdom

About your new role: We are looking for a Senior Marketing Operations Engineer with a passion for AI-driven automation to take our marketing engine to the next level. This is not a traditional MarOps role. You will be the architect and operator of an AI-first marketing stack, using cutting-edge tools and Model Context Protocol (MCP) integrations, including Meta's MCP, to dramatically increase the efficiency of our campaigns and the velocity of our marketing team. You will sit at the intersection of marketing strategy, engineering, and AI tooling. You will own the platforms, pipelines, and processes that power demand generation, nurture, attribution, and performance analytics, and you will relentlessly find ways to replace manual work with intelligent automation. You will work closely with Marketing, Sales, and Engineering leadership to ensure our AI investments translate directly into pipeline and revenue. If you are excited about a world where AI agents run campaign workflows, optimize ad targeting in real time, generate and test creative at scale, and surface predictive insights before anyone thinks to ask, this role was built for you. Key Responsibilities: AI-Powered Marketing Automation Architect and operate AI-first workflows across the full marketing funnel, from lead capture and enrichment through nurture, handoff, and attribution. Own and maximize CommandLink's use of Meta's MCP and other third-party MCP integrations, leveraging AI agents to optimize ad performance, targeting, budget allocation, and creative testing at scale. Build and manage agentic pipelines using tools such as Claude, Claude Code, and other LLM frameworks to automate campaign execution tasks that today require manual effort. Evaluate, adopt, and integrate emerging AI marketing tools into the stack, establishing CommandLink as an early mover in AI-driven B2B marketing operations. Marketing Operations Platform Own and administer the marketing technology stack including MAP (HubSpot or equivalent), CRM integrations, ad platforms, data enrichment tools, and attribution systems. Ensure data integrity and governance across all marketing systems; design and maintain lead scoring, routing, segmentation, and lifecycle stage definitions. Partner with Sales Operations and Revenue Operations to align funnel definitions, pipeline reporting, and closed-loop attribution. Build and maintain dashboards and reporting frameworks that surface campaign ROI, channel performance, and funnel health in real time. Campaign Efficiency & Execution Identify and eliminate manual bottlenecks in campaign operations; build scalable automation that allows the marketing team to do more with less. Design and implement AI-assisted content workflows, including AI-generated copy variants, creative testing frameworks, and personalization at scale. Manage and optimize paid media operations across Meta, LinkedIn, Google, and other channels using AI tools for bidding, audience modeling, and creative refresh. Collaborate with the content and demand generation teams to operationalize campaign launches quickly and measure performance rigorously. What You'll Need for Success Essential: 5+ years of Marketing Operations or Revenue Operations experience in a B2B SaaS environment. Demonstrated, hands-on experience using AI tools in a marketing context. Not just awareness, but actual day-to-day use of LLMs, AI agents, or automation frameworks to get marketing work done. Experience with Model Context Protocol (MCP) or comparable API/integration frameworks for connecting AI agents to marketing platforms. Strong proficiency with marketing automation platforms (HubSpot, Marketo, Pardot, or equivalent) and CRM systems (Salesforce or HubSpot CRM). Solid understanding of paid social advertising platforms, particularly Meta, including campaign structure, audience segmentation, and performance optimization. Experience building and maintaining marketing attribution models and revenue reporting. Comfort with data and technical work: able to write basic SQL queries, work with APIs, and troubleshoot integrations without always needing engineering support. Proven ability to operate cross-functionally and influence without authority across Marketing, Sales, and Engineering. Nice to Have: Hands-on experience with Meta MCP, LinkedIn Marketing API, or other platform-specific MCP integrations. Experience building agentic marketing workflows using Claude, Claude Code, GPT-based tools, or similar LLM frameworks. Familiarity with data warehousing concepts and BI tools (Looker, Tableau, or similar) for marketing analytics. Background in demand generation, growth engineering, or performance marketing, with understanding of both the strategic and technical sides of the funnel. Experience in a high-growth B2B tech company where speed, ownership, and iteration are core to the culture. Familiarity with MCP architecture and how to build or extend MCP connectors for marketing use cases. Why you'll love life at Command|Link Join us at CommandLink, where you'll have the opportunity to shape the future of business communication. We value the innovative spirit and seek individuals ready to bring their unique vision and expertise to a team that values bold ideas and strategic thinking. Are you ready to make an impact? Room to grow at a high-growth company An environment that celebrates ideas and innovation Your work will have a tangible impact Flexible time off Fun events at cool locations Employee referral bonuses to encourage the addition of great new people to the team At CommandLink, we’re committed to creating a fair, consistent, and efficient hiring experience. As part of our process, we use AI-assisted tools to help review and analyze applications. These tools support our recruiting team by identifying qualifications and experience that align with the requirements of each role. AI tools are used only to assist in the evaluation process — they do not make final hiring decisions. Every application is reviewed by a member of our recruiting or hiring team before any decisions are made.