Data Operations Manager

AI in this role

ai-data-labelingcomputer-vision

We're transforming the grocery industry

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.

Instacart is a Flex First team

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.

Overview

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.

About the Job

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.

About You

Minimum Qualifications

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.

Preferred Qualifications

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.

How we rate this

Data Operations Manager at Instacart rates 11 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI Data LabelingComputer Vision

Questions you could be asked

How do you keep labeling instructions consistent across a large annotation team?
Walk me through a computer vision problem you solved, from raw data to a deployed model.

Adapt your resume

List these exact terms on your resume: AI Data Labeling and Computer Vision. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.

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