Remote Product Manager

Summary

Join Figma as a Product Manager for our Data & ML Infrastructure teams and help build strong understanding of data needs across the company, define vision for core data systems, partner with cross-functional partners to design infrastructure, and more.

Requirements

• 4+ years in a technical product management role
• Experience driving product for developer experiences, tools, workflows, and/or infrastructure
• Proven ability to lead cross-functional teams and drive complex projects
• Proven track record of implementing the full lifecycle of ML model development and deployment
• Experience in two or more of the following areas
• Data warehousing/lakehousing (eg. Snowflake, BigQuery, Iceberg)
• Data job orchestration (eg. Dagster, Airflow)
• Batch and stream processing systems (eg. Kafka, Spark, Flink)
• Data cataloging, discoverability, and life-cycle management
• Data science models, integrations or data pipeline development (DBT, Fivetran, AirByte)

Responsibilities

• Build and maintain a strong understanding of the data needs across the company
• Define a vision for core data systems, such as Figma’s data catalog, to enable key stakeholders across the company to easily understand and use data at scale to drive business needs and product improvements
• Partner with a wide range of cross-functional partners across engineering, data science, research, and product to design infrastructure to train, deploy, and serve AI/ML models at scale
• Partner with engineering to set strategy and priorities for teams and projects

Preferred Qualifications

• Demonstrated ability bringing a product-centric and user-centric mindset to projects driven by platform teams
• Proven ability to explain complex technical concepts to diverse audiences
• Experience working as an engineer
• Experience working on models supporting generative AI use cases and/or LLMs

Benefits

• Health insurance
• Retirement benefits
• Paid time off
• Remote work, flexible hours
• Life and disability insurance
• Bonuses and incentives
• Professional development opportunities
• Wellness programs
• Family and parental leave