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.

• AWS and Databricks administration • Configure and manage core AWS services • Work with Data Scientists to manage Databricks environment in conjunction with Data Engineering AWS environment • Implement security best practices, network segmentation, and secrets management • Own relationships with external vendors • Support development and maintenance of data pipelines (Python/Spark/SQL/API Gateway/EC2/DynamoDB/Glue), data quality checks, and documentation. • Contribute to code reviews and standards. • Design, build, and maintain IaC with Terraform for AWS and Databricks (modules, workspaces, remote state, CI/CD) • Standardize and templatize environment provisioning across dev/prod • Establish tagging, budgets, and chargeback/showback; rightsized compute, storage, and job configurations • Manage Savings Plans/Reserved Instances, Spot strategies, storage lifecycle policies. • Work closely with data engineers, data scientists, and stakeholders to unblock deliverables • Document designs, standards, and operational practices to enable a small team to move quickly and safely

Role Description 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’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 Qualifications - 1–4 years of experience in analytics, strategy & operations, program management, or a related field - Strong SQL skills and experience working with data tools (e.g., Sigma, Mode, Looker, etc.) - Comfortable working with large datasets to generate insights and drive decisions - Experience supporting or operating technical platforms or tools in a business environment - Structured thinker who can break down ambiguous problems and operate at the lowest level of detail - Clear communicator who can translate data into actionable recommendations for stakeholders - Thrives in fast-paced environments and can manage multiple workstreams with precision Requirements - 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 Benefits - Comprehensive benefits package including 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 - Medical, dental, and vision benefits - 11 paid holidays - Disability and basic life insurance - Family-forming assistance - Mental health program

Role Description As a Platform Engineer, you will own the infrastructure that powers the next generation of financial connectivity for SMEs across Europe. This is a high-impact role where you will bridge the gap between regulated financial infrastructure and modern software engineering, moving beyond mere maintenance to actively designing systems from scratch. You will work in a "distributed-first" environment, collaborating with a world-class team to build CI/CD pipelines, cloud systems, and AI integrations that enhance the developer experience. Your mission is to remove technical bottlenecks and raise the bar for security and observability in a fast-scaling fintech ecosystem. This is a unique opportunity for a pragmatic problem-solver to have a direct say in how software is built and delivered globally. - Infrastructure Orchestration: Architect and manage robust cloud infrastructure utilizing AWS and Kubernetes to ensure high availability and scalability of financial services. - Developer Experience & Tooling: Build and continuously improve CI/CD pipelines, internal platforms, and developer tools to streamline the path from code to production. - System Ownership: Own production systems end-to-end, taking responsibility for everything from initial design decisions to proactive incident response and resolution. - Cross-Functional Partnership: Partner with product and business teams to identify technical friction points and implement solutions that allow the organization to ship features faster. - Standards & Security: Evaluate and integrate new services while maintaining rigorous engineering standards for security, observability, and system reliability. Qualifications - Hands-on experience with cloud platforms and container orchestration, specifically using tools like Docker, Kubernetes, Terraform, and AWS. - Ability to write clean, maintainable code; while the stack primarily uses Kotlin and TypeScript, a strong foundational command of software engineering principles is essential. - A focus on finding the simplest, most effective solutions to complex problems rather than the most "impressive" or over-engineered ones. - Excellent ability to explain complex technical decisions to non-technical stakeholders and collaborate seamlessly across distributed teams. - A strong desire to stretch your capabilities beyond a repetitive daily routine and a track record of driving projects from initial idea to full production. Requirements - Previous exposure to financial services, payment systems, or regulated environments, as well as experience managing microservices on the JVM runtime. Benefits - A truly "distributed-first" culture that allows you to work productively from your preferred location in India. - Access to premium hardware and software to ensure maximum productivity, including MacOS and advanced AI coding assistants like Claude Code. - Generous time off with 30 days of annual leave to ensure you stay refreshed and energized. - Meaningful equity opportunities that allow you to share in the long-term success and growth of the company. - A dedicated home office stipend to help you create an ergonomic and efficient remote workspace. - An open-minded and transparent environment featuring regular All-Hands meetings, "Brown Bag" lunches, and team offsites.