Senior Associate, QA Automation, Marketing Technology Operations

The posting, as DoorDash wrote it

About the Team

DoorDash's MarTech Operations team is the connective tissue between our Retention Marketing organization and the tools, systems, and data that power it. As a Senior Associate focused on QA Automation, you'll own the quality backbone for how we build, test, and ship marketing campaigns across DoorDash audiences.

About the Role

You'll lead the expansion of our QA automation tooling, drive the shift from manual QA to automated QA workflows, help automate the ship review process, and scale multivariate QA and sample testing practices across every audience we serve. This is a highly cross-functional, builder-oriented role for someone who wants to own a strategic quality function end-to-end.

You’re excited about this opportunity because you will…

• Own and expand DoorDash's QA automation toolkit for Retention Marketing campaigns
• Lead the transition from manual QA to automated QA across all audiences
• Automate and streamline the ship review process
• Design and scale Multivariate QA / Sample Testing programs across DoorDash audiences.
• Partner cross-functionally with Marketing, Engineering, and Data Science to define QA requirements and operational readiness criteria
• Track and report on QA coverage, defect rates, and campaign quality metrics
• Build documentation, SOPs, and training that help marketing teams adopt new QA tools and processes with confidence

We’re excited about you because…

• 3+ years of experience in marketing technology, quality assurance, marketing operations, program management, or a similar operational role at a technology company
• Experience with QA processes for marketing campaigns (peer review, ship review, sample/multivariate testing) or software QA automation
• Expertise with Retention Marketing technology platforms (Braze, Salesforce, CDPs, or similar) preferred
• Demonstrated ability to coordinate cross-functional projects – defining milestones, managing dependencies, and keeping stakeholders aligned
• Comfort working with data to track quality metrics and surface insights; experience with dashboards or basic SQL a plus
• Strong written and verbal communication skills – able to translate technical QA processes into plain language for marketing practitioners
• Detail-oriented with a high bar for quality; you notice what's missing before others do

Nice to Have

• Experience building or scaling QA automation tools or frameworks
• Experience working across multiple brands/audiences (e.g., consumer, B2B, international)
• Basic SQL knowledge for querying QA or usage data
• Experience writing internal documentation, training materials, or adoption playbooks

We expect this position to be filled by 08/12/2026
Compensation

The successful candidate’s starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized accord
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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 .