Product Manager - Fusion
Fivetran- Compensation
- $188k–$236k Published range
- Location
- Remote - US Remote eligibility
- Employment
- Full-time Mid-level
About the job
About Fivetran
Fivetran and dbt Labs are bringing together two industry-leading companies to help organizations unlock the full value of their data. Fivetran automates data movement across systems, clouds, engines, and tools, while dbt Labs pioneered analytics engineering. Together, they support thousands of organizations building a trusted foundation for analytics, AI, and better business decisions.
About the Role
Drive the delivery of the dbt Cloud and translate the product roadmap into clear and precise product requirements. Set goals, manage priorities, and measure outcomes. Collaborate with customers and downstream engineers to collect feedback and synthesize product requirements. Work with engineering, design, marketing, and sales to prioritize, build, and ship enterprise-grade functionality to large data teams.
Skills We're Looking For
- Experience in product and project management or deep experience in a related function (e.g., analytics, open source)
- Balance product innovation with sales-, community-, and customer success-driven feedback
- Comfortable discussing, explaining, and reasoning about investments in a SaaS platform
- Experience using or building data tools
- Excellent written and verbal communication
Bonus Skills
- Previous experience working with dbt
- Previous experience with modern data warehouses (Snowflake, BigQuery, Redshift, Spark, Presto, etc.)
Compensation
Pay Range: $188,496—$235,620 USD
Benefits
- 100% employer-paid medical insurance
- Generous paid time-off policy (PTO), plus paid sick time, inclusive parental leave policy, holidays (including year-end Global Week of Rest), and volunteer days off
- RSU stock grants
- Professional development and training opportunities
- Monthly cell phone stipend
- Access to an innovative mental health support platform
Application Instructions
Apply via the job posting link.
Skills & tags
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