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Manager, Data Strategy, B2B, Marketing Technology

Job in Snowflake, Navajo County, Arizona, 85937, USA
Listing for: DoorDash
Full Time position
Listed on 2026-01-07
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

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About the Team

Door Dash’s mission is to grow and empower local economies. By building intelligent, last‑mile delivery technology for local cities, Door Dash connects people with the local businesses they care about — helping grow businesses and the communities that support those businesses. The Marketing Technology team is responsible for delivering best‑in‑class tools, data, and processes so teams at Door Dash can effectively acquire new customers, drive retention, and grow new business lines across all our audiences.

Our mission is to enable teams to deliver personalized, engaging, and relevant content across all our owned and paid channels. We partner closely with Product, Engineering, Data Science, and Analytics teams to translate Marketing’s technology needs into measurable business outcomes for our Growth and Performance Marketing teams.

About the Role

We’re seeking a Manager to lead B2B Marketing data strategy across our performance and owned marketing channels. This role will partner closely with the Performance and Lifecycle Marketing teams to grow revenue through stronger targeting, personalization, attribution, and measurement. You’ll build the data pipelines that connect our MAP/CRM, web analytics, ads platform, CDP, data warehouse, and BI tools so teams can segment audiences, personalize messaging, and optimize spend across channels.

You'll architect our attribution approach, standardize tracking across channels, and deliver reporting that shows where marketing spend drives pipeline and revenue. This role combines technical execution with strategic thinking to solve complex cross‑channel measurement challenges.

This role will report to the Senior Manager, Data & Measurement within the Growth Marketing organization.

You’re excited about this opportunity because you will…
  • Own B2B marketing measurement strategy: define KPIs, event and object taxonomy, and UTM standards; ensure tracking quality across the funnel.
  • Build data flows that power targeting and personalization: ensure customer attributes, engagement signals, and account intelligence reach your MAP and ads platforms so teams can segment, personalize, and optimize in real time.
  • Manage Integrations & data infrastructure: design and manage integrations among MAP (e.g., Pardot/Hub Spot), CRM (e.g., Salesforce), ad platforms, CDP, data warehouse (e.g., Snowflake), reverse ETL, and BI.
  • Establish data quality standards and SLAs across the funnel, ensuring consistent tracking coverage from first touch through closed-won revenue.
  • Reporting & dashboards: create self‑serve views for Marketing and Sales—pipeline contribution, opportunity influence, velocity, CAC/LTV, channel ROAS, ABM engagement—plus executive roll‑ups.
  • Experimentation: create a testing framework for channels, creatives, and audiences; partner with Analytics on lift studies and offline conversion imports.
  • Partner with Product, Engineering, Analytics, Data Science, Sales Ops, and Rev Ops to prioritize requirements, align on definitions, and refine influence models.
  • Communicate progress and risks: update stakeholders and leadership on initiative status, goal tracking, and mitigation strategies.
We’re excited about you because you have…
  • 6+ years in marketing technology, growth marketing, marketing analytics, or Rev Ops in a B2B context; 3+ years directly related to measurement/attribution/integrations.
  • Strong analytical toolkit: advanced SQL; proficiency in Python or similar for data processing; ability to build BI dashboards.
  • MAP/CRM experience (Marketo/Eloqua/Hub Spot; Salesforce preferred), including campaign object usage, campaign member status, influence models, and L2A matching.
  • ABM fluency: account scoring, intent and engagement signals, buying‑group measurement, and cohort reporting.
  • A love for collaborating and working on a team with extensive cross‑functional experience partnering with groups across marketing (CRM, paid media, creative, etc), analytics, product, etc.
  • The ability to think about the business like a…
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