CohereRevenue Operations Intern (Winter, 2027)
Cohere is hiring a Revenue Operations Intern (Winter, 2027) for a remote role open to applicants in Canada. Level rates it ; you can apply on Cohere.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- The posting lists this role as remote.
- Tools and skills the posting cites include Salesforce, BigQuery and data analysis.
- Level lists 121 other open roles at Cohere.
- The role was posted within the past week.
AI in this role
Revenue Operations Intern supporting data infrastructure, pipelines, and automated reporting at an enterprise AI company.
Who are we?
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’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Business Need
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.
Role Description
This intern will support Revenue Operations data infrastructure and automation, including data enrichment and management, building and updating data pipelines, and developing automated reporting for go-to-market and finance stakeholders.
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.
Position Details
Duration: 4 months
Start date: January 4
Location: Toronto or New York
How we rate this
Revenue Operations Intern (Winter, 2027) at Cohere rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where data pipelines was part of your work. What did you do?
- Tell me about a project where revenue operations was part of your work. What did you do?
- Tell me about a project where reporting was part of your work. What did you do?
- Walk me through how you've used Salesforce in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Data Analysis, Data Pipelines, Revenue Operations, Reporting, and Salesforce. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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