Lead Product Manager, Databases

About the Role

As Lead Product Manager of Databases, you will own a strategic database replication portfolio. You will solve challenging customer needs replicating the largest mission-critical databases. You’ll be a product leader that collaborates closely with database engineering, field engineering, and product marketing to deliver new database replication capabilities. This is a position of key responsibility with high visibility across leaders from Fivetran & our most important partners.

This is a full-time, hybrid position based out of our Denver, CO or Oakland, CA offices or remotely in the US.

What You'll Do

• Build and manage the strategic database replication product roadmap; set quarterly goals and track deliverables and results
• Prioritize major initiatives to improve the performance & capabilities of your portfolio
• Perform in-depth data analysis and customer research to identify areas of opportunity for improvements
• Collaborate closely with engineering, design, product marketing and sales to drive adoption of your portfolio
• Evangelize the success of your initiatives both internally and externally

Skills We're Looking For

• 6+ years of experience managing data replication products
• Experience in databases (Oracle, SQL Server, PostgreSQL, etc.), data movement (real-time replication or ETL/ELT), multiple clouds (AWS, Azure, Google, Alibaba), cloud analytics destinations (Snowflake, Databricks, RDS, Synapse, BigQuery, etc.), SQL and API technologies
• Track record of shipping products that deliver measurable results
• Self-starter. Driven to learn about the latest database and cloud technologies and industry trends to identify technical solutions to complex problems
• Highly collaborative cross-functionally and within the product organization
• Strong attention to detail with a deep understanding of the big picture
• Ability to balance multiple projects and deadlines

Bonus Skills

• Experience covering database design (CAP, row vs columnar, etc), networking, servers, and cloud, data types, storage, and evaluation

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