Director, Marketing Operations
KlaviyoSan Francisco, CAPosted 24 February 2026
Tech Stack
Job Description
<div class="content-intro"><p><em>At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit <a class="_ymio1r31 _ypr0glyw _zcxs1o36 _mizu194a _1ah3dkaa _ra3xnqa1 _128mdkaa _1cvmnqa1 _4davt94y _4bfu18uv _1hms8stv _ajmmnqa1 _vchhusvi _kqswh2mm _ect4ttxp _syaz13af _1a3b18uv _4fpr8stv _5goinqa1 _f8pj13af _9oik18uv _1bnxglyw _jf4cnqa1 _30l313af _1nrm18uv _c2waglyw _1iohnqa1 _9h8h12zz _10531ra0 _1ien1ra0 _n0fx1ra0 _1vhv17z1" href="http://klaviyo.com/careers" data-renderer-mark="true">klaviyo.com/careers</a> to see how we empower creators to own their own destiny.</em></p></div><p>The Director of Marketing Operations owns the systems, data, and processes that power a modern, multi-motion go-to-market engine. This role is responsible for designing and scaling marketing operations across enterprise sales-led and product-led growth motions, ensuring clean data, efficient handoffs, and measurable impact from first touch through expansion.</p>
<p>You will lead the marketing technology stack, partner closely with Sales Ops, RevOps, Product, and Analytics, and apply automation and AI to improve prioritization, decision-making, and execution at scale. This is a highly visible role for a strategic operator who can balance rigor with speed in a complex GTM environment.</p>
<p><strong>How you’ll make a difference:</strong></p>
<ul>
<li>Own and optimize the end-to-end lead, account, and PQL lifecycle across enterprise and PLG motions, including scoring, routing, enrichment, and progression.</li>
<li>Design scalable funnel and handoff processes in partnership with Sales Ops and RevOps to support multiple GTM models.</li>
<li>Serve as the strategic owner of the marketing automation platform and its core integrations, including Salesforce and web systems.</li>
<li>Proactively monitor funnel performance, diagnose issues, and implement system or process improvements.</li>
<li>Embed AI and automation into core workflows such as scoring, routing, enrichment, forecasting, and anomaly detection.</li>
<li>Partner with Analytics and Data teams to enable accurate attribution, reporting, and experimentation.</li>
<li>Own data quality and governance across marketing and CRM systems, including enrichment, deduplication, and hygiene.</li>
<li>Evaluate, implement, and rationalize marketing technology to maximize impact and reduce complexity.</li>
<li>Enable effective collaboration between marketing, sales, and product through shared definitions and operating models.</li>
<li>Build, mentor, and scale a high-performing marketing operations team.</li>
<li>Performs other related duties as assigned.</li>
</ul>
<p><strong>Who you are: </strong></p>
<ul>
<li>15+ years of experience in Marketing Operations, Revenue Operations, or GTM Operations, with experience supporting both enterprise sales-led and product-led growth models for Marketing.</li>
<li>Deep expertise in marketing automation platforms, CRM systems, and modern marketing technology stacks (Salesforce, Hubspot, Leandata, 6Sense).</li>
<li>Proven experience architecting and scaling lead, account, and PQL lifecycle management processes in complex GTM environments.</li>
<li>Hands-on experience leveraging AI and automation - you’ve already experimented with AI in work or personal projects, and you’re excited to dive in and learn fast. You’re hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient. </li>
<li>Strong understanding of enterprise sales requirements (e.g., account-based marketing, routing, SLA management) alongside PLG concepts (e.g., in-product signals, PQL ... (truncated, view full listing at source)
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