Title:  Senior Product Manager

Job Summary

We are seeking an experienced Product Manager to join our team and develop innovative cloud storage solutions optimized for AI/ML/Analytics services on AWS.

In this role, you will:

• Define and execute a strategic vision for cloud storage products tailored for AI/ML/Analytics workloads on AWS, breaking down high-level objectives into actionable plans through continuous engagement with stakeholders, customers, and engineering teams.
• Oversee, define, and prioritize the cloud storage product lifecycle, collaborating with cross-functional teams, including engineering, product managers, architects, UX designers, and external partners to ensure seamless integration and optimal performance for AI/ML/Analytics use cases.
• Translate customer challenges and business needs into storage solutions that address the unique requirements of these innovative cloud workloads, balancing desired outcomes with technical feasibility, data management, and infrastructure costs.
• Build, communicate, and present product strategies, roadmaps, and outcomes to both internal and external stakeholders, highlighting the benefits of optimized storage for these cloud workloads.

Job Requirements

• 7+ years as a Product Manager with a focus on AI/ML/Analytics services, data-driven solutions, data science workflows, and model deployment in production environments.
• Bachelor’s or master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
• Preferred background in data engineering, machine learning engineering, or software development, with experience or familiarity with AWS Redshift, Athena, Q, SageMaker, Bedrock, and a solid understanding of public cloud services (AWS, GCP, or Azure).
• Strong ability to translate complex technical concepts into user-friendly product requirements and business outcomes.
• Proven track record in leading cross-functional discussions and managing complex product development cycles.
• Exceptional interpersonal and communication skills to collaborate effectively with diverse teams and stakeholders.
• Fluent in English, with a willingness to work across multiple time zones (e.g., US West Coast, Israel, India).