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Associate Manager, QA Strategy & Operations
Associate Manager, QA Strategy & OperationsDoorDash Canada • Toronto, ON, CA
Associate Manager, QA Strategy & Operations

Associate Manager, QA Strategy & Operations

DoorDash Canada • Toronto, ON, CA
Il y a plus de 30 jours
Type de contrat
  • Temps plein
Description de poste

Associate Manager, QA Strategy & Operations

About the Team

The Performance Excellence (PE) team is redefining how DoorDash measures, governs, and improves quality at scale. We are building an AI-first, automated QA ecosystem that delivers high-precision insight across 100% of customer interactions—powering performance management, coaching, risk detection, and product feedback in near real time.

After successfully scaling Automated QA (AQA) across Tier 1 Support, we are expanding into high-impact, higher-risk domains including Fraud, Integrity, Trust & Safety, and in-house support. This work requires strong ownership of AI signal accuracy, refinement rigor, and end-to-end process design to ensure automation is trusted, fair, and operationally actionable.

About the Role

As Associate Manager, QA Strategy & Operations, you will own large-scale, AI-led quality programs from design through production. This is a senior IC / early people-manager role focused on building and governing automated QA systems, not running traditional QA operations. You will lead cross-functional initiatives that improve the accuracy, stability, and adoption of AI-generated quality signals, partnering closely with Product, ML, Engineering, Operations, and Policy teams. Your work will directly influence how DoorDash defines quality, manages performance, and mitigates risk at scale.

You’ll report to the Senior Manager, QA Strategy & Operations within Performance Excellence (CXI)

You’re excited about this role because you will…

  • Own AI-led QA system expansion into complex domains (Customer Support, Fraud, Integrity, Risk, In-House), defining what is automatable vs. human-judgment required
    Design and operationalize quality signals at scale, including rubric logic, precision thresholds, false-positive controls, and rollout gates
  • Drive signal accuracy and trust, partnering with ML and Calibration teams to improve precision, reduce FP/FN rates, and close dispute feedback loops
  • Influence the QA tech and model roadmap, prioritizing investments in automation, tooling, and infrastructure that improve signal reliability
  • Establish durable process frameworks (intake, SLAs, readiness criteria, documentation) that allow AI quality programs to scale safely and repeatably
  • Lead cross-functional execution across Product, Engineering, Ops, and Policy without formal authority—driving clarity, alignment, and delivery

We’re excited about you because…

  • You have 6–8+ years of experience in strategy, program management, operations, product ops, or quality systems—ideally in AI-enabled or data-driven environments
  • You’ve worked on large-scale process or platform launches, where accuracy, governance, and change management mattered as much as speed.
  • You are comfortable operating at the intersection ofAI models, business rules, and operational workflows
  • You have a strong intuition for signal quality—understanding false positives, calibration tradeoffs, thresholds, and downstream impact
  • You bring structured thinking and execution rigor, especially in ambiguous problem spaces with multiple stakeholders
  • You can partner effectively with ML and Engineering teams, even if you are not a model builder yourself
  • Hands-on experience with LLMs, prompt design, conversational analytics, or AI QA systems is a strong plus
  • You care deeply about building systems that are accurate, fair, trusted, and scalable

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.

In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.

Benefits

DoorDash offers a comprehensive benefits package for all regular employees, that includes paid time off, paid parental leave, wellness benefit and several paid holidays.

Additionally, for full-time employees, DoorDash offers medical, dental, and vision benefits, disability and basic life insurance, an RRSP including an employer match, and a mental health program, among others.

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 with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering 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.

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

Equal Employment Opportunity Statement

DoorDash is an equal opportunity employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, national origin, sex, gender identity, sexual orientation, age, disability, veteran status, or any protected status.

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