Sr. Product Manager 1 - Technical

$84,500 - $204,600/Yr

PayPal India Private Limited - San Jose, CA

Full-time - Mid Level

San Jose, CA

About the position

The Senior Product Manager for Business Data Products & Solutions at PayPal is responsible for building and optimizing the core data platform that supports various business-critical applications. This role involves collaborating with engineering, data science, and other product teams to deliver scalable data solutions, ensuring alignment with business objectives and stakeholder needs.

Responsibilities

• Define the vision, strategy, and roadmap for the data products and solutions.
• Work closely with engineering, data science, analytics, and business teams to understand requirements and prioritize initiatives.
• Communicate the data platform strategy, vision, and progress to key stakeholders, including senior management.
• Ensure the platform delivers value to internal and external users by gathering feedback and conducting user research.
• Define and track key performance indicators (KPIs) for the data products and solutions.
• Partner with Data Governance, Privacy, and Compliance teams to ensure products are within regulatory boundaries.

Requirements

• 4+ years of product management experience, with at least 2 years focused on data platforms, data products, or analytics.
• Solid understanding of modern data technology (e.g., data lakes, data warehouses, real-time data processing, distributed systems).
• Familiarity with ETL processes, data modeling, and data governance.
• Proven ability to lead cross-functional teams and manage complex projects.
• Excellent communication and presentation skills, with the ability to articulate complex technical concepts to non-technical audiences.
• Experience in agile development methodologies, managing and prioritizing multiple projects in a fast-paced environment.
• Strong analytical mindset with the ability to use data to drive product decisions and measure success.
• Bachelor's degree in a relevant field; MBA or advanced degree is a plus.

Nice-to-haves

• Experience with machine learning platforms and tools.
• Experience working with cloud-based platforms (e.g., AWS, Google Cloud, Azure) and related technologies (e.g., BigQuery, Redshift, Snowflake).
• Familiarity with data security, compliance, and privacy best practices (e.g., GDPR, HIPAA).

Benefits

• Flexible work environment
• Employee shares options
• Health insurance
• Life insurance
• Dental insurance
• Vision insurance
• Annual performance bonus
• Equity compensation