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Data Operations Manager
Israel - Hybrid (3 days/week in office required)
Live, first seen by us 30 days ago- Pay
- Pay not listed
- Work setting
Hybrid — work setting source
Listed location: Israel - Hybrid (3 days/week in office required)
Read the full posting- Employment
- Not stated
What you’ll work on
Full postingDesign, implement, and scale operational processes for onboarding and ongoing operations
Lead end-to-end technical implementation projects across product, engineering, ML and operations
Own KPIs and drive process optimization and continuous improvement
Roll out AI and machine learning solutions into production environments
Take ownership of complex operational challenges and their measurable business impact
From the employer’s posting
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.
What you’ll bring
All qualificationsCore experience
- 2+ years in Data Operations, Technical Operations, Project Management, or related fields
- 2+ years working in an R&D environment
- Strong analytical, organizational, and problem-solving skills
- Professional proficiency in English
Preferred experience
- 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.
Qualification wording
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.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 5, 202630 days ago
- Recorded sightings
- 55
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Instacart is hiring
11 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring has slowed
- Takes jobs down at a usual pace
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Your next step
Complete your application on instacart.careers. The employer’s form will show what is required.
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About the role
We file this job under Data Operations, by the work the posting describes.
Data operations staff do the day-to-day work of getting data processed correctly: loading and checking files, moving records between systems, fixing errors and following set procedures.
Expect Excel, some SQL, close attention to detail, and knowledge of the particular systems the company runs.
Data governance sets the rules for the data; data operations does the hands-on work of processing it and keeping it moving.
Job description
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Israel - Hybrid (3 days/week in office required)
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.