Data Operations Manager
At a glance
Manager-level Data Architecture & Governance role at instacart. Israel - Hybrid (3 days/week in office required) · full-time.
Pay not stated Data Architecture & Governance salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and expand operating processes for new-team onboarding, daily work and future scale
- Take technical projects from planning through launch with product, engineering, machine learning and operations teams
- Track KPIs, improve workflows and keep operational performance moving forward
- Bring AI and machine learning tools into production and manage their rollout
- Resolve complex operational issues and deliver measurable business results
What you bring
- At least two years in data operations, technical operations, project management or a related area
- At least two years working in a research and development setting
- Professional working proficiency in English
Who this fits
This manager role suits someone who can lead technical projects and coordinate across product, engineering, machine learning and operations. Experience with implementation or integration work, computer vision or machine learning products, large-scale annotation or data quality, and large datasets is a plus. The role is based in Israel.
From the employer
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.
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