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CommandLink

Senior Marketing Operations Engineer, AI & Automation

Posted Yesterday
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Remote
Hiring Remotely in United States
110K-140K Annually
Senior level
Remote
Hiring Remotely in United States
110K-140K Annually
Senior level
As a Senior Marketing Operations Engineer, you will leverage AI tools to optimize marketing strategies, automate processes, and enhance campaign performance while managing the marketing technology stack.
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About Command|Link

Command|Link is a global SaaS Platform providing network, voice services, and IT security solutions, helping corporations consolidate their core infrastructure into a single vendor and layering on a proprietary single pane of glass platform. Command|Link has revolutionized the IT industry by tackling the problems our competitors create. In recognition for our unprecedented innovation and dedication, Command|Link was recognized as the SD-WAN Product of the Year, ITSM Visionary Spotlight, UCaaS Product of the Year, NaaS Product of the Year, Supplier of the Year, and the AT&T Strategic Growth Partner. Command|Link has built the only IT platform for scale that solves ISP vendor sprawl and IT headaches. We make it easy for our customers to get more done, maximize uptime and improve the bottom line.


Learn more about us here!


This is a remote position open to candidates residing in the following states: Alabama, Arizona, Arkansas, Florida, Georgia, Indiana, Kansas, Kentucky, Louisiana, Maryland, Michigan, Mississippi, Missouri, Nevada, New Hampshire, North Carolina, Ohio, Oklahoma, South Carolina, Tennessee, Texas, Utah, Virginia, Wisconsin


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
  • Generous Medical, Dental, and Vision coverage for full-time employees
  • Flexible time off  
  • 401k to help you save for the future
  • Fun events at cool locations
  • Free DoorDash lunches on Fridays
  • Employee referral bonuses to encourage the addition of great new people to the team


Commandlink hires individuals in a number of geographic regions and the pay ranges listed reflect the cost of labor across these regions. The base pay for this position as displayed at the bottom of the job description is a range based on our lowest geographic region, up to our highest geographic region. Pay is based on location among other factors, such as skill-set, experience, and qualifications held.


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.


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