Data Operations Manager

Instacart

. Design, implement, and scale operational processes supporting onboarding, ongoing operations, and future growth .

Posted 9/29/2026full-timeIsraelJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in driving operational excellence through process optimization and KPI ownership, with a strong focus on the implementation of AI and machine learning solutions. Proven ability to lead technical projects and manage complex operational challenges in R&D environments.

Highest-signal resume keywords

Data OperationsTechnical OperationsProject ManagementAI Solutions ImplementationMachine Learning Products

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Process OptimizationKPI OwnershipData AnnotationData Quality OperationsLarge-Scale DatasetsAnalytical SkillsProblem-Solving Skills

Soft Skills

Organizational Skills

Industry Keywords

R&D EnvironmentComputer VisionOperational Excellence

About the role

Key responsibilities & impact

Design, implement, and scale operational processes supporting onboarding, ongoing operations, and future growth
Lead end-to-end technical implementation projects across Product, Engineering, Machine Learning, and Operations teams
Drive operational excellence through KPI ownership, process optimization, and continuous improvement
Drive operationalization and rollout of AI and machine learning solutions into production environments
Own complex operational challenges, ensuring successful execution and measurable business impact

Requirements

What you’ll need

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 (preferred)
Experience working with Computer Vision, AI, or Machine Learning products (preferred)
Experience with large-scale data annotation or data quality operations (preferred)
Experience working with large-scale datasets (preferred)

Benefits

Comp & perks

Flexibility to choose where to work, including home, office, or a favorite coffee shop
Regular in-person events to stay connected and build community