Associate, QA Platform & Analytics

About the Team

The Performance Excellence team is redefining how DoorDash measures quality—moving from manual sampling to intelligent systems that evaluate every customer interaction. Our vision is to build an automated QA program that scales across every part of the business, including high-impact domains like Fraud, Integrity, and Risk. We build systems that surface actionable insights, improve performance, and protect the customer experience.

About the Role

As an Associate, QA Platform & Analytics, you will play a critical role in managing and evolving our QA platforms (e.g., AutoQA, ObserveAI) while driving the analytics that power decision-making across Customer Experience. This role sits at the intersection of platform operations, data analytics, and emerging ML-enabled QA systems. You will be responsible for ensuring our QA tools operate effectively, insights are accurate and actionable, and stakeholders have visibility into performance at the lowest level of detail. You’ll partner closely with Product, Analytics, Machine Learning, and Operations teams to optimize QA systems, build scalable reporting, and support the rollout of new automated quality signals. You’ll report to the Associate Manager, Quality Data Infrastructure & Platform Management within the Customer Experience organization

You’re excited about this opportunity because you will…

Own QA platform operations and performance

• Manage day-to-day performance of QA platforms (e.g., ObserveAI, AutoQA systems)

• Monitor signal health (precision, false positives, coverage) and identify gaps

• Partner with Product/ML to improve system performance and reliability

Build and scale QA analytics & reporting

• Develop dashboards and reporting (Sigma, SQL) to track QA performance, adoption, and impact

• Analyze large-scale interaction data to identify trends, root causes, and improvement opportunities

• Enable stakeholders (Ops, Vendor, PxS) with clear, actionable insights

Drive data-informed QA strategy

• Translate business problems into structured analyses and hypotheses

• Support development and validation of new QA signals (e.g., sentiment, resolution, adherence)

• Contribute to roadmap planning with data-backed recommendations

Support ML-enabled QA systems

• Partner with ML and Product teams to evaluate model outputs and performance

• Assist in testing, calibration, and rollout of automated QA signals

• Help define success metrics and guardrails for production deployment

Improve operational workflows and scalability

• Build frameworks, documentation, and processes to support platform adoption

• Identify automation opportunities to reduce manual QA effort and increase coverage

• Ensure QA insights are embedded into coaching, scorecards, and business processes

We’re excited about you because…

• You have 1–4 years of experience in analytics, strategy & operations, program management, or a related field

• You have strong SQL skills and experience working with data tools (e.g., Sigma, Mode, Looker, etc.)

• You are comfortable working with large datasets to generate insights and drive decisions

• You have experience supporting or operating technical platforms or tools in a business environment

• You are a structured thinker who can break down ambiguous problems and operate at the lowest level of detail

• You are a clear communicator who can translate data into actionable recommendations for stakeholders

• You thrive in fast-paced environments and can manage multiple workstreams with precision

Nice to have:

• Exposure to machine learning or AI-powered tools (e.g., LLMs, NLP systems, AutoQA platforms)

• Experience working with customer support data, QA programs, or operational performance metrics

• Familiarity with experimentation, model evaluation, or data validation methodologies

We expect this position to be filled by 5/31/26.

Compensation

Actual compensation within the pay range listed below will be decided based on factors including, but not limited to, skills, prior relevant experience, and specific work location. Base salary is localized according to employee work location.

DoorDash cares about you and your overall well-being. That’s why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act). DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.

To learn more about our benefits, visit our careers page here.

See below for paid time off details:

• For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year.

• For hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week).

The national base pay range for this position within the United States, including Illinois and Colorado.
$64,600—$95,000 USD

About DoorDash

At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.

DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.

Our Commitment to Diversity and Inclusion

We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.

Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to 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.