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Senior Associate, Operational Intelligence, Labs

DoorDash · Remote · United States - Remote · $93.8k–$138k

Posted by DoorDash on their careers site · View the original posting

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The posting, as DoorDash wrote it

About the Team

DoorDash Labs builds autonomous delivery robots and other autonomy solutions for DoorDash’s delivery platform. Operational Intelligence is a technical team within our Technical Operations organization, developing the internal applications, data integrations, and AI-powered workflows that help our robotics fleet operate reliably and efficiently. We work directly with fleet support, service, Engineering, and Product teams to turn operational challenges into practical technical solutions. Our work makes information more accessible, improves troubleshooting and decision-making, and reduces the manual effort required to support a growing fleet. Being embedded within Operations means we stay close to the people using our tools and see the impact of what we build.

About the Role

As a Senior Associate, Operational Intelligence, you will build and maintain applications, integrations, and automation that improve how our teams operate. This is a hands-on individual contributor role within Technical Operations, with software development as a core responsibility. We are looking for someone who brings strong systems experience: understanding how frontend and backend services fit together, how APIs connect them, and how software is built, deployed, and operated in production.You will own defined features and projects from understanding the operational problem through development, testing, rollout, and ongoing support. This role is suited to someone who enjoys writing code, investigating system behavior, and working directly with users to deliver solutions that remain useful and reliable after launch.

You’re excited about this opportunity because you will…

  • Design and build full-stack features, connecting frontend interfaces to backend services and data stores, with a clear understanding of how requests, authentication, and data move through the system.
  • Instrument services with logging, metrics, and alerting so failures are detected and diagnosed quickly.
  • Partner with DoorDash Engineering and platform teams to align Operational Intelligence systems with company infrastructure standards.
  • Work directly with operational users to identify recurring challenges, translate feedback into technical requirements, and deliver improvements from concept through rollout.
  • Develop integrations and data workflows using APIs, databases, and automated jobs to connect systems, improve information quality, and reduce manual handoffs.
  • Contribute to AI-powered troubleshooting and decision-support capabilities, evaluating their accuracy, usefulness, reliability, latency, and operating cost.
  • Use version control, code review, automated testing, and staging environments to validate changes before deploying them into operational workflows.
  • Investigate application and integration failures, identify root causes, implement fixes or mitigations, and communicate findings to the appropriate stakeholders.
  • Improve operational reporting by validatin

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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 .