Data Operations Manager

At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.

Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.

There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.

At Instacart, we're transforming the grocery industry through technology and AI-powered solutions.
The Data Operations team partners closely with Product, Engineering, and Machine Learning to build scalable operational processes and high-quality datasets that power advanced AI technologies, including computer vision and machine learning.

We're looking for a Data Operations Manager to lead cross-functional operational initiatives from concept to production. This role combines technical understanding with operational execution, requiring strong ownership, project leadership, and the ability to influence across teams in a fast-paced environment.

• Design, implement, and scale operational processes that support onboarding, ongoing operations, and future growth.
• Lead end-to-end technical implementation projects across product, engineering, machine learning, and operation teams.
• Drive operational excellence through KPI ownership, process optimization, and continuous improvement.
• Drive the operationalization and rollout of AI and machine learning solutions into production environments.
• Take ownership of complex operational challenges, ensuring successful execution and measurable business impact.

• 2+ years of experience in Data Operations, Technical Operations, Project Management, or related fields.
• 2+ years of experience working in an R&D environment.
• Strong analytical, organizational, and problem-solving skills.
• Professional proficiency in English.

• Experience leading technical implementation or integration projects.
• Experience working with Computer Vision, AI, or Machine Learning products.
• Experience with large-scale data annotation or data quality operations.
• Experience working with large-scale datasets.