Marketing Operations Engineer (MarTech / GTM Systems)

<p>Kadence is on a hypergrowth path, building the category-defining workplace operations platform of the future. We're hiring a Marketing Operations Engineer to be the architect and technical backbone of Marketing, optimizing the tools, data, and automation that power Demand Gen, ABM, and bowtie GTM execution. You'll manage a complex MarTech stack, ensure seamless data flow, and leverage data + automation (including AI) to drive efficiency and measurable revenue growth across acquisition and expansion.</p><p><strong>Core platforms:</strong></p><p>HubSpot, Intercom, WordPress, Demio (plus connected GTM tools like ZoomInfo, Clay, etc.)</p><p><strong>What you'll do</strong></p><ul><li><p>Own and optimize the marketing tech stack (HubSpot &amp; connected tools), ensuring scalability, governance, documentation, and high reliability.</p></li><li><p>Architect seamless data flow across HubSpot, Intercom, WordPress, Demio, Paid Media (Google Ads/LinkedIn), and other systems to enable clean integrations, consistent fields/taxonomy, and trustworthy lifecycle tracking.</p></li><li><p>Operationalize Demand Gen and ABM execution: segmentation, lead scoring, routing, nurture programs, campaign QA, and attribution that Sales and Marketing can depend on.</p></li><li><p>Support a bowtie sales model by enabling both new logo and expansion motions with lifecycle triggers, handoff workflows, and automated follow-up systems that reduce friction and speed up revenue.</p></li><li><p>Build and maintain reporting that connects activity to pipeline funnel dashboards, campaign health, and clear conversion/velocity insights.</p></li><li><p>Drive automation and efficiency (including AI): identify bottlenecks and replace manual work with workflows, enrichment, QA checks, experimentation support, and AI-assisted operational systems.</p></li><li><p>Bridge marketing strategy and technical execution by partnering closely with Demand Gen, Content, Product Marketing, RevOps/Sales Ops, CX, and Leadership, in addition to collaborating with Engineering when needed on tech troubleshooting and integrations.</p></li></ul><p><strong>Qualifications</strong></p><ul><li><p>4–8+ years in Marketing Ops / RevOps / Marketing Systems / Growth Ops, ideally in B2B SaaS.</p></li><li><p>Deep hands-on experience with HubSpot is critical to this role (workflows, lifecycle stages, lists/properties, automation, reporting, governance).</p></li><li><p>Strong understanding of Demand Gen &amp; ABM mechanics and how to operationalize them through systems, processes, and measurement.</p></li><li><p>Proven ability to manage data quality and lifecycle integrity (de-dupe, enrichment, routing rules, field standards, attribution, compliance basics).</p></li><li><p>Technical proficiency connecting systems (APIs/webhooks/iPaaS tools), troubleshooting integrations, and building durable, scalable processes.</p></li><li><p>Experience with data/enrichment and prospecting ops tools such as ZoomInfo and Clay (enrichment workflows, account/lead sourcing, segmentation support, and data hygiene).</p></li><li><p>Demonstrated utilization of AI tools for marketing operations such as workflow automation, enrichment/qualification support, campaign QA, performance insights, routing logic, and internal tooling, applied safely and systematically.</p></li><li><p>Strong analytical skills: can design reporting that the business trusts and use insights to improve conversion, velocity, and pipeline impact.</p></li><li><p>High ownership, fast execution, and comfortable operating in ambiguity in a fast-moving Series-A environment.</p></li></ul><p><strong>Preferred</strong></p><ul><li><p>Familiarity with WordPress marketing ops (tracking, forms, conversion paths, SEO/landing page workflows).</p></li><li><p>Experience supporting LinkedIn campaign workflows and matching ad data to CRM/lifecycle outcomes.</p></li><li><p>Experience running webinar/event funnels using webinar platforms (ex. Demio/Livestorm)</p></li><li><p>Experience building repeatable AI-assisted ops playbooks (prompt/agent standards, QA guardrails, data handling practices, and measurable time/pipeline impact).</p></li><li><p>Experience with chatbot platform&nbsp;(ex. Intercom/Drift) playbook workflows and integrations.</p></li></ul>