How DoorDash uses AI to boost employee productivity and innovation

DoorDash, a leading local commerce platform, is scaling AI adoption to enhance employee productivity, learning, and innovation. In an interview with Mariana Garavaglia, Chief People Officer, the company revealed its strategic focus on integrating AI across three key layers: access and literacy, internal data integration, and task automation through AI agents.

AI as a Catalyst for Operational Efficiency

Garavaglia emphasized DoorDash's operator culture, where AI accelerates experimentation and iteration. The company has rolled out enterprise-wide AI tools, including co-pilots, hackathons, and tutorials, to ensure even non-technical employees can leverage frontier technologies.

• Key Metrics: DoorDash tracks AI adoption rates and frequency of use, noting engineers now complete tasks in minutes that once took days.
• Democratizing Automation: Non-technical teams, like People Ops, have built scripts to automate manual workflows, reducing reliance on engineering support.

"Across all teams, we're super excited about how AI is enabling us to accelerate building these experiences. It really accelerates the speed with which we can learn and test and iterate."

Personalized Employee Development

AI is transforming learning and development at DoorDash:

• Tailored Growth Paths: The company is shifting from one-size-fits-all programs to individualized development plans based on performance data and career trajectories.
• Enhanced Feedback Systems: AI synthesizes performance reviews and employee surveys, surfacing actionable insights for managers and employees alike.

"AI now gives us the ability to move from reacting, learning—adult learning and development and one-size-fits-all programs—to much more individual growth paths, which I think is amazing."

Augmenting Human Judgment

DoorDash uses AI to support, not replace, human decision-making:

• Predictive Models for Hiring: AI analyzes cohort data and interview assessments to predict executive success, with coaching used to address specific gaps.
• People Analytics: AI-generated summaries help managers interpret survey results and create targeted action plans.

Future Focus: AI Agents and Personalization

The company is exploring AI agents for core HR workflows, including policy queries and manager support. Garavaglia highlighted the advantage of having dedicated engineering resources within HR and IT teams, enabling rapid iteration and unified strategy execution.

DoorDash uses ChatGPT Enterprise across finance, sales, operations, IT, and marketing teams. OpenAI APIs also power its customer service platform, handling 3 million monthly chats, and internal workflows for review moderation and support.