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<source>
  <jobs>
    <job>
      <externalid>a738803a-64f</externalid>
      <Title>Head of Enterprise Marketing Strategy &amp; Analytics</Title>
      <Description><![CDATA[<p><strong>About the Role</strong></p>
<p>This foundational leadership role will build and lead the Enterprise Marketing Strategy &amp; Analytics function, serving as the operating system for a rapidly scaling marketing organisation. The primary mandate is to define and measure success across all marketing programmes,from demand generation (field events, ABM, EBCs, partner co-marketing) to pipeline contribution,creating a clear line from investment to pipeline to revenue.</p>
<p><strong>Responsibilities</strong></p>
<ul>
<li>Define and own the Enterprise Marketing measurement framework, targets, and reporting, covering the full funnel from top-of-funnel demand through pipeline influence and closed-won attribution.</li>
<li>Build and maintain core analytics infrastructure (data models, attribution logic, dashboards) in partnership with Revenue Operations and Data Science, ensuring marketing and sales alignment on key metrics.</li>
<li>Serve as one of the primary operating partner to Finance, HR, and Recruiting, leading budget tracking, headcount planning, and vendor management.</li>
<li>Partner with marketing leadership and the central Marketing Ops &amp; Strategy team on annual and quarterly planning, resource allocation, and performance reviews.</li>
<li>Establish the operating cadence for Enterprise Marketing (QBRs, pipeline reviews, program retros), coordinating with the central Marketing Ops &amp; Strategy team on organisation-wide rhythms, and drive the preparation needed to make these forums decision-useful.</li>
<li>Lead the identification of high-leverage workflows to automate, partnering with the central GTM AI team on implementation and measuring productivity gains.</li>
<li>Build and manage the Marketing Operations, Demand Analytics, and MarTech team, setting a high bar for analytical rigor and business partnership.</li>
<li>Drive cross-functional alignment on shared definitions, tooling, and a single source of truth for marketing performance across the broader Marketing organisation and with Revenue Operations.</li>
<li>Conduct strategic analyses to inform key organisational decisions, such as resource deployment, coverage ratios, and campaign capacity planning.</li>
</ul>
<p><strong>Requirements</strong></p>
<ul>
<li>10+ years in marketing operations, analytics, revenue operations, or strategy roles, including at least 3 years leading a team.</li>
<li>Experience building or significantly scaling a marketing ops/analytics function at a high-growth B2B technology company undergoing significant organisational expansion.</li>
<li>Deep fluency in the enterprise demand funnel, including lead scoring, MQL/SQL definitions, pipeline attribution, and campaign influence models.</li>
<li>Hands-on expertise with the modern GTM data stack (CRM, Marketing Automation, BI tools).</li>
<li>Proven track record of strategic partnership with Finance and Revenue Operations, including experience building budget models and sitting in planning cycles.</li>
<li>Expertise in running the core operational rhythm of a marketing organisation: QBRs, headcount tracking, budget pacing, and vendor renewals.</li>
<li>Strong written and verbal communication, capable of translating complex datasets into clear business narratives.</li>
<li>Genuine curiosity about AI and a willingness to be an early, hands-on adopter of automation tools in your team’s workflows.</li>
</ul>
<p><strong>Logistics</strong></p>
<p>Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. Visa sponsorship: We do sponsor visas!</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange>$400,000-$400,000 USD</Salaryrange>
      <Skills>marketing operations, analytics, revenue operations, strategy, demand generation, field events, ABM, EBCs, partner co-marketing, pipeline contribution, marketing programmes, investment, pipeline, revenue, measurement framework, targets, reporting, funnel, top-of-funnel demand, pipeline influence, closed-won attribution, core analytics infrastructure, data models, attribution logic, dashboards, Data Science, marketing, sales, alignment, key metrics, budget tracking, headcount planning, vendor management, marketing leadership, central Marketing Ops &amp; Strategy team, annual planning, quarterly planning, resource allocation, performance reviews, operating cadence, QBRs, pipeline reviews, program retros, organisation-wide rhythms, decision-useful, high-leverage workflows, automation, GTM AI team, implementation, productivity gains, Demand Analytics, MarTech team, analytical rigor, business partnership, cross-functional alignment, shared definitions, tooling, single source of truth, marketing performance, strategic analyses, resource deployment, coverage ratios, campaign capacity planning, lead scoring, MQL/SQL definitions, pipeline attribution, campaign influence models, modern GTM data stack, CRM, Marketing Automation, BI tools, strategic partnership, Finance, budget models, planning cycles, core operational rhythm, headcount tracking, budget pacing, vendor renewals, written communication, verbal communication, complex datasets, business narratives, AI, automation tools</Skills>
      <Category>Marketing</Category>
      <Industry>Technology</Industry>
      <Employername>Anthropic</Employername>
      <Employerlogo>https://logos.yubhub.co/anthropic.com.png</Employerlogo>
      <Employerdescription>Anthropic is_ALLOCATED to creating reliable, interpretable, and steerable AI systems. It employs a quickly growing group of committed researchers, engineers, policy experts, and business leaders.</Employerdescription>
      <Employerwebsite>https://www.anthropic.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/anthropic/jobs/5169101008</Applyto>
      <Location>San Francisco, CA | Seattle, WA</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
    <job>
      <externalid>5a77c001-ef6</externalid>
      <Title>Director, Demand Generation</Title>
      <Description><![CDATA[<p>Job Title: Director, Demand Generation</p>
<p>The Director, Demand Generation will lead how we go to market with our executive integrated campaigns across key audiences , CIO, CTO, CDO, CISO, and CMO. You’ll drive visibility, engagement, and pipeline creation with top decision-makers while scaling a high-performing global campaign engine.</p>
<p>This is a pivotal leadership role responsible for strategy, orchestration, and measurable impact worldwide, setting the foundation for our next stage of growth. You’ll partner closely with teams across Corporate Brand, Events, Product and Solutions Marketing, Industry Marketing, Field Marketing Analytics, and Marketing Operations to deliver cohesive, data-driven, and scalable executive programs.</p>
<p>The impact you will have:</p>
<p>Global Orchestration - Lead alignment and operational rhythm with cross-functional leaders to craft an integrated, data-driven executive marketing strategy.</p>
<p>Develop consistent global programs with aligned goals, messaging, and measurable business outcomes.</p>
<p>Connect demand generation initiatives to broader brand-building efforts and category-creation strategies that resonate with C-level executives.</p>
<p>Deliver clear executive summaries, data insights, and recommendations that guide decision-making across the organization.</p>
<p>Team Leadership &amp; Development - Direct, mentor, and inspire a team of high-performing campaign managers focused on global integrated campaign execution.</p>
<p>Define team structure and talent needs, drive recruiting and onboarding, and maintain a consistently high standard of talent.</p>
<p>Build a culture of continuous learning and accountability by setting clear expectations, providing coaching, and offering professional development opportunities.</p>
<p>Pipeline Growth &amp; Accountability - Own and deliver global executive engagement and pipeline targets, partnering across functions to optimize ROI.</p>
<p>Ensure campaign strategies and investments translate into measurable pipeline contribution and long-term customer relationships.</p>
<p>Strategic Leadership &amp; Innovation - Establish a global strategic roadmap to test, optimize, and scale future programming informed by data, insights, and performance learnings.</p>
<p>Serve as the filter and guide for business priorities, ensuring the team focuses on high-impact activities.</p>
<p>Leverage prior experience and innovation to continuously evolve our approach, tools, and executional excellence at scale.</p>
<p>What we look for:</p>
<p>Experience: 10+ years of managing global integrated campaigns with direct pipeline accountability and a proven track record of exceeding targets. With experience in marketing to executive audiences.</p>
<p>Cross-functional alignment and stakeholder management: Proven ability to work with various cross-functional stakeholders to develop integrated programs that drive joint outcomes.</p>
<p>Team Leadership: 5+ years building, inspiring, and leading high-performing teams with global pipeline and efficiency accountability.</p>
<p>Data &amp; Analytics: Advanced proficiency in pipeline attribution, conversion analysis, and ROI optimization using SFDC, Tableau (or other dashboard systems), and marketing automation platforms</p>
<p>Hyper-Growth Experience: 7+ years scaling integrated campaigns in fast-growing tech companies.</p>
<p>Systems &amp; Process: Experience implementing scalable marketing operations, lead management systems, and cross-functional workflows</p>
<p>Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.</p>
<p>Zone 1 Pay Range $183,400-$252,250 USD</p>
<p>Zone 2 Pay Range $165,100-$227,050 USD</p>
<p>Zone 3 Pay Range $155,900-$214,400 USD</p>
<p>Zone 4 Pay Range $146,700-$201,750 USD</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>executive</Experiencelevel>
      <Workarrangement>onsite</Workarrangement>
      <Salaryrange>$183,400-$252,250 USD</Salaryrange>
      <Skills>Global integrated campaigns, Demand generation, Executive marketing strategy, Pipeline attribution, Conversion analysis, ROI optimization, Marketing automation platforms, Scalable marketing operations, Lead management systems, Cross-functional workflows</Skills>
      <Category>Marketing</Category>
      <Industry>Technology</Industry>
      <Employername>Databricks</Employername>
      <Employerlogo>https://logos.yubhub.co/databricks.com.png</Employerlogo>
      <Employerdescription>Databricks is a data and AI company that provides a data intelligence platform to unify and democratize data, analytics, and AI. It was founded by the original creators of Lakehouse, Apache Spark, Delta Lake, and MLflow.</Employerdescription>
      <Employerwebsite>https://databricks.com</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/databricks/jobs/8407863002</Applyto>
      <Location>United States</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
  </jobs>
</source>