Sr. Manager, B2B, Marketing Technology

The posting, as DoorDash wrote it

About the Team

DoorDash’s mission is to grow and empower local economies. By building intelligent, last-mile delivery technology for local cities, DoorDash 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 DoorDash 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.

The B2B Marketing Technology team does this for DoorDash's business customers. It owns marketing automation, the B2B websites, and the data flows between the tools used by our marketing and sales teams.

About the Role

We're seeking a Senior Manager to lead B2B Marketing Technology at DoorDash. You will own the B2B marketing technology stack: our marketing automation platform, its connection to sales tools, the B2B websites, and the data model and flows that connect them. You will set web and information architecture, define attribution priorities, close data gaps, and redesign our B2B marketing system architecture, building automations yourself when needed. You will lead the B2B MarTech team and partner with B2B Marketing, Go-to-Market Technology, Sales and Operations, Product, Engineering, and Data to set the long-term B2B marketing technology roadmap.

This role will report to the Director, Marketing Technology within the Growth Marketing organization.

You’re excited about this opportunity because you will…

• Own the strategy, architecture, and roadmap for B2B marketing automation across our business lines.
• Design how leads move between HubSpot, Salesforce, and the data warehouse, including deduplication, scoring, routing, and lifecycle stages.
• Define the marketing data model and attribution priorities with B2B Marketing, Sales and Operations, and Data, and close data gaps across web, marketing automation, CRM, and the warehouse.
• Put monitoring, data quality standards, and governance in place so problems are caught before they affect campaigns, lead routing, or reporting.
• Set web and information architecture for the B2B websites. This covers the CMS, forms, tracking, tag governance, and the move to AI-native site infrastructure. Define standards rather than fulfilling page requests one at a time.
• Run an experimentation program on the B2B websites to improve conversion.
• Make keep, add, build, and retire decisions on B2B marketing tools based on cost, usage, and business impact.
• Own adoption of the B2B marketing stack, including the processes, training, and documentation that l

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success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.

Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.

If you need any accommodations, please inform your recruiting contact upon initial connection.

Notice Regarding Use of AI and Automated Tools: To streamline our hiring process, DoorDash utilizes an automated recruitment tool called Metaview.

How it works: Metaview assists our recruiting team by evaluating job related qualifications and characteristics in connection with hiring. The tool is designed and used to support - rather than replace - human decision-making; trained personnel make final decisions with meaningful human review and oversight, and DoorDash does not use Metaview or other AI-enabled tool in a manner that has the effect of subjecting applicants or employees to discrimination based on any protected characteristic or proxy or for engaging in any protected activity under applicable law.

Data Retention, Privacy & Bias Audit: Data collected during this process is retained in accordance with our Candidate Privacy Policy https://help.doordash.com/en-us/legal/article/ax-privacy-notice and applicable state laws. In compliance with New York City Local Law 144, the independent bias audit summary for Metaview is publicly available for review at https://trust.warden-ai.com/metaview/application-review .