Senior Revenue Operations Manager
Coursera is hiring a Senior Revenue Operations Manager in Denver, United States. It pays $122k-$153k a year and Level rates it ; you can apply on Coursera.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- The posting mentions Claude, Databricks and Gong among its tools and skills.
- Level classes it as a senior role.
- Coursera has 32 other open roles on Level.
- Posted in the last few days.
AI in this role
About Coursera + Udemy
Coursera and Udemy are now one company, bringing together two mission-driven brands to create the world’s most powerful platform for turning learning into progress. Together, we help more than 300 million learners and 12,000+ enterprise customers build the skills they need for a world being reshaped by AI. Read more about the combined company by visiting our blog.
Why join us now?
AI is transforming how people learn, work, and grow, and the need for new skills has never been greater. Coursera brings trusted content and credentials from leading university and industry partners, while Udemy brings a dynamic skills marketplace and global network of real-world experts. By combining these strengths, we can connect more people and organizations to the skills they need, when they need them.
Shape what comes next
By joining our team, you’ll have the opportunity to reshape how the world learns and applies skills—and help millions of people participate in the new economy. Bring your ideas, expertise, and perspective to meaningful work that can make a difference at global scale.
How we work
We let you choose the best way to work, whether it’s from home, an office, or a collaboration space. We’re a globally distributed team that comes together intentionally for collaboration, complex problem-solving, and key milestones — creating opportunities for teams to come together. If you’re ready to make a global impact, help scale unique products across Coursera + Udemy, and grow your career, apply below.
About this role:
We are seeking an analytical and collaborative Senior Revenue Operations Manager to support Coursera’s enterprise business across the Americas. In this role, you will partner closely with regional sales leaders and the global Revenue Operations team to improve forecast accuracy, strengthen pipeline management, and turn business data into actionable insights.
You will own key regional operating processes, including forecasting, performance reporting, and business reviews, while helping sales teams work more efficiently. This is a hands-on role for someone who can build dashboards, translate analysis into action, and use AI and automation to improve how the business operates.
About your skills:
Sales Operations: Core discipline for managing and optimizing sales processes, supporting teams, and aligning strategies with business objectives in this regional role.
Business Analytics: Essential for analyzing pipeline, forecasting, and performance data to develop insights and drive business planning decisions.
Data Integration: Important for combining data from Salesforce, Databricks, and other sources to create unified reporting and analysis for leadership.
What you’ll be doing:
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Serve as a trusted operations partner to AMER sales leaders, providing insights and recommendations that support revenue growth and business performance.
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Manage the regional forecasting cadence across new business, expansion, and renewals; challenge assumptions, identify risks and upside, and improve forecast accuracy.
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Analyze pipeline coverage, creation, conversion, deal progression, and sales productivity to identify trends and recommend actions to close performance gaps.
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Drive pipeline hygiene and CRM data quality through clear reporting, regular follow-up, and accountability with sales managers and representatives.
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Design, build, and maintain dashboards and reports in Salesforce and Tableau, using data from sources such as Databricks to give leaders and sellers reliable visibility into performance, pipeline health, and priority actions.
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Prepare analyses and concise business narratives for monthly and quarterly business reviews, translating findings into clear recommendations for leadership.
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Partner with Sales, Marketing, Customer Success, Finance, and global Revenue Operations to align on metrics, reporting, and regional business priorities.
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Support territory and account planning, target setting, and coverage analysis in partnership with sales leadership and central planning teams.
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Identify, build, and implement AI-assisted workflows and automation that reduce manual reporting, improve data quality, and streamline recurring sales operations processes.
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Use tools such as Gong and Claude to surface deal insights, support pipeline reviews, and accelerate analysis; validate AI-generated outputs before using them in business decisions.
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Support the standardization of processes, reporting, and tools across teams, including integration initiatives and change adoption as needed.
Qualifications:
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5+ years of experience in Sales Operations, Revenue Operations, business operations, or a related analytical role, with experience supporting B2B sales teams.
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Demonstrated experience managing sales forecasting, pipeline analysis, and performance reporting in a SaaS or recurring revenue business.
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Strong analytical skills and advanced proficiency in Excel or Google Sheets, including building models and translating complex data into actionable insights.
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Proficiency in Salesforce, including opportunity management, data quality, and reporting.
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Experience with annual planning, territory design, sales capacity modeling, and sales compensation.
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Experience partnering with sales leaders and cross-functional stakeholders to solve operational problems and influence decisions.
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Strong written and verbal communication skills, with the ability to present findings clearly to both technical and business audiences.
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Ability to manage competing priorities, take ownership of deliverables, and work effectively through ambiguity.
Compensation
At Coursera + Udemy, we strive to be transparent around compensation. Actual compensation for this role is based on several factors, including but not limited to job-related skills, qualifications, and experience. In addition to a base salary, this role is also eligible for equity.
Hiring Compensation Range
$122,400.00 - $153,000.00
Posting Date
Posting Date: 5th November 2026
Application Window: 19th November 2026
We anticipate the application window will be open until 19th November 2026. Based on business needs, this opportunity may remain posted beyond or closed before the anticipated application window.
#LI-TP1
For more information about how Coursera collects and uses your personal information, please see our Coursera + Udemy Global Applicant Privacy Notice.
To protect against recruitment fraud, Coursera + Udemy recruiters only communicate via official coursera.org/udemy.com email addresses and never through personal accounts. We do not accept resumes via email or social media; please submit all applications directly through our careers page.
If you encounter suspicious recruitment activity, please report it via our Fraudulent Activity Submission Form.
Coursera is an Equal Opportunity Employer committed to building a welcoming and inclusive workplace. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request at recruiting@coursera.org.
How we rate this
Senior Revenue Operations Manager at Coursera rates 27 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
- What's a project where you used Claude hands-on?
- Walk me through how you've used Databricks in your day-to-day work.
- What are the limits of Gong that you've run into, and how did you work around them?
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- List these exact terms on your resume: Claude, Databricks, and Gong. 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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