Lead Product Manager - Databases
Remote, Any, United States, AMER
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
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, remote position based out of the United States. 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
- 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
- Preferred Qualification: Bachelor’s degree in Computer Science/Engineering or equivalent experience covering database design (CAP, row vs columnar, etc), networking, servers, and cloud, data types, storage, and evaluation
The pay range displayed on this job posting reflects the minimum and maximum target for new hire salaries for the target position and level. Our pay ranges are determined by role, level, and location. …
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Remote position
Benefits/Perks100% employer paid medical 100% employer-paid medical insurance Company virtual happy hours Free food Generous paid time off Holidays Inclusive parental leave Inclusive parental leave policy Medical Insurance Mental health support Mental health support platform Monthly cell phone stipend Paid sick time Parental leave Professional development Professional development and training opportunities RSU stock grants Stock grants Training opportunities Virtual happy hours Volunteer days off
Tasks- Collaborate with teams
- Data Analysis
- Evangelize initiatives
- Maintenance
- Manage product roadmap
- Perform data analysis
- Prioritize initiatives
- Research
- Set goals
- Track deliverables
- Training
Alibaba cloud Analytics API Api technologies Attention to detail AWS Azure BigQuery Cloud Analytics Coaching Cross-functional Collaboration Customer Research Data analysis Database Database Replication Databases Databricks Data movement Data Replication ELT ETL Fivetran Google Google Cloud Networking Oracle Organization PostgreSQL Product Management Product Marketing RDS Real-time replication Research Snowflake SQL SQL Server Synapse Technical Solutions Training
Experience6 years
EducationBachelor's degree Computer Science Engineering
Certifications TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9