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Head of Marketing Analytics

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Postman
Full Time position
Listed on 2026-03-15
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below
Who Are We?

Postman is the world’s leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration—enabling users to create better APIs, faster.

The company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at  or connect with Postman on X via @get postman.

We are seeking a strategic and hands-on Senior Marketing Analytics Leader to build and lead a high-impact analytics function within Revenue Marketing.

This role will be responsible for transforming marketing into a fully data-driven revenue engine — providing clarity on performance, pipeline contribution, ROI, and growth opportunities across integrated campaigns, ABM, lifecycle, and holistic search (SEO + SEM).

The ideal candidate combines strategic thinking, strong technical depth, and business acumen. They must be able to connect marketing activity to revenue outcomes, influence executive decision-making, and build scalable reporting frameworks that drive action — not just dashboards.

This leader will build and manage a small but high-leverage team (2 direct reports initially) and partner closely with Campaigns, ABM, Digital, Search, Events, Sales, and Finance.

What You’ll DoRevenue Attribution & Measurement Strategy
  • Design and evolve marketing attribution models aligned to pipeline and revenue impact.
  • Establish a unified measurement framework across paid, organic, ABM, events, and lifecycle.
  • Quantify marketing’s contribution to sourced and influenced pipeline.
  • Partner with Sales Ops and Rev Ops to ensure alignment across the funnel.

Success means leadership can clearly answer:

How is marketing driving revenue, and where should we invest next?

Campaign & Channel Performance Analytics
  • Define standardized KPIs across integrated campaigns and channels.
  • Develop reporting frameworks that go beyond MQLs to pipeline and revenue efficiency.
  • Analyze channel mix performance and recommend budget optimization.
  • Support holistic search strategy by evaluating blended paid + organic performance.

Ensure that campaign decisions are informed by ROI, not vanity metrics.

Given ABM is a focused revenue marketing approach:

  • Measure engagement depth, buying group influence, and deal acceleration impact.
  • Identify patterns across high-performing accounts.
  • Partner with ABM and Events teams to optimize field and event ROI.
Forecasting & Strategic Planning Support
  • Build predictive models for pipeline generation and conversion.
  • Support annual and quarterly planning with data-driven projections.
  • Identify leading indicators of pipeline performance.
Data Infrastructure & Tooling
  • Partner with Rev Ops to ensure clean, scalable data architecture.
  • Improve tracking integrity across campaigns and channels.
  • Ensure marketing automation and CRM data consistency.
  • Build dashboards that are actionable and trusted by leadership.
Team Leadership & Capability Building
  • Hire and manage 2 direct reports (e.g., Marketing Analyst).
  • Develop analytical rigor across the broader marketing organization.
  • Establish documentation, processes, and governance standards.
  • Elevate data literacy across campaigns, ABM, digital, and search teams.
What Success Looks Like
  • Clear visibility into marketing’s contribution to revenue.
  • Leadership uses analytics to drive budget allocation and prioritization.
  • Campaigns are optimized based on data, not intuition.
  • Search (SEO + SEM) performance is evaluated holistically.
  • ABM impact is measurable at the account and pipeline level.
  • Marketing planning is grounded in predictive modeling.
About You
  • 10+ years in marketing analytics, revenue analytics, or growth analytics in B2B environments.
  • Experience supporting demand generation, ABM, and paid media.
  • Deep expertise in attribution modeling and funnel analysis.
  • Experience managing analytics or BI teams.
  • Strong experience with…
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