Data Operations Manager

Instacart - Israel - Hybrid (3 days/week in office required) - original posting ->
Status
Open
Remote policy
Hybrid
Employment type
Not stated
Salary
Not stated
Categories
Data
Tech
hybriddata
Source
instacart
First observed
2026-09-29 22:37 UTC
Last seen
2026-09-29 22:37 UTC
Source claims posted
2026-09-29 21:51 UTC
Consecutive misses
0 of 3

What the posting says

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.

Quality

Completeness: 65%

Not enough history yet to judge honesty signals.

Timeline

  1. *
    #1077484 2026-09-29 22:37 UTC
    Published