Description
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We are overhauling our Salesforce system, which will require significant updates to the data models and pipelines that support revenue reporting. We also lack scalable visibility into self-serve revenue due to fragmented data sources and manual reporting processes.
This role will help build and maintain the data infrastructure and automated reporting needed to support these changes and improve visibility across go-to-market and finance teams.
Key Responsibilities:
- Support go-to-market reporting, systems, and processes that help teams make data-driven decisions and drive revenue growth.
- Help maintain and improve data quality across Salesforce and other go-to-market systems.
- Work with cross-functional teams to bring together customer data across product usage, sales activity, marketing engagement, support, and contract data.
- Support the development and maintenance of dashboards and reporting for go-to-market and finance leadership.
- Assist with data pipelines and processes that connect data across Salesforce, BigQuery, and other systems.
- Help identify opportunities to automate manual reporting and operational processes.
- Support ad hoc data analysis and operational requests from the Revenue team.
What You Bring:
- Interest in learning about Revenue Operations, data analytics, and how technology companies go to market.
- Some experience working with data through coursework, internships, projects, or extracurricular activities.
- Comfort with spreadsheets and a willingness to develop skills in tools such as SQL, Salesforce, BigQuery, Looker, or Tableau.
- Strong problem-solving ability and an enjoyment of figuring out how data, systems, and processes fit together.
- Detail orientation and a commitment to data accuracy and quality.
- Comfort with learning new tools and working across multiple projects.
- Ability to communicate findings clearly and explain what the data means and why it matters.