Product Manager, Data Fusion & Analytics

Fivetran, Inc.; Colorado; On-site; USD 188,496 - 235,620; Full time

Benefits offered by this job

Medical insurance

Paid time off

Professional development

Team building activities

Cell phone stipend

Mental health resources

Job summary

Fivetran, Inc. is seeking a product leader to drive the delivery of dbt Cloud and translate the roadmap into precise product requirements.

You will set goals, manage priorities, and measure outcomes while collaborating with customers and downstream engineers to collect feedback and synthesize requirements. You will work closely with engineering, design, marketing, and sales to prioritize, build, and ship enterprise-grade functionality for some of the largest data teams.

Qualifications

• Experience in product and project management or deep experience in a related function (eg. analytics, open source).
• Balance product innovation with sales-, community- and customer success-driven feedback.
• Ability to discuss investments in a SaaS platform and justify prioritization.
• Experience using or building data tools.
• Excellent written and verbal communication skills.

Responsibilities

• 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.

Skills

Product management

Project management

Analytics

Open source

Communication

Tools

dbt

Snowflake

BigQuery

Redshift

Spark

Presto

Job description

Fivetran, Inc. is seeking a product leader to drive the delivery of dbt Cloud and translate the roadmap into precise product requirements.

You will set goals, manage priorities, and measure outcomes while collaborating with customers and downstream engineers to collect feedback and synthesize requirements. You will work closely with engineering, design, marketing, and sales to prioritize, build, and ship enterprise-grade functionality for some of the largest data teams.