About Coursera
Coursera and Udemy are now one company, creating one of the world's most comprehensive skills development platforms for the AI era. This strengthens our ability to accelerate AI-powered innovation and shape how the world discovers and builds skills at a pivotal moment of change. Read more about the combined company by visiting our blog.
Coursera was launched in 2012 by Andrew Ng and Daphne Koller with a mission to provide universal access to world-class learning. Coursera partners with leading university and industry partners to offer a broad catalog of content and credentials, including courses, Specializations, Professional Certificates, and degrees. Coursera’s platform innovations — including AI-powered personalized guide and features, like Role Play and Course Builder, and role-based solutions like Skills Tracks — enable instructors, partners, and companies to deliver scalable, personalized, and verified learning. Institutions worldwide rely on Coursera to upskill and reskill their employees, students, and citizens in high-demand fields such as GenAI, data science, technology, and business, while learners globally turn to Coursera to master the skills they need to advance their careers. Coursera is a Delaware public benefit corporation and a B Corp. Coursera recently combined with Udemy to create one of the world’s most comprehensive skills development platforms.
Why Join Us
At Coursera, we’re looking for inventors, innovators, and lifelong learners ready to shape the future of education. You’ll help build global programs and tools that power online learning for millions turning bold ideas into real impact. People who thrive here are customer-first builders who move fast, simplify ruthlessly, and iterate relentlessly on the metrics that matter.
We’re a globally distributed team that comes together intentionally for collaboration, complex problem-solving, and key milestones — creating opportunities for teams to do their best work together. Our virtual hiring and onboarding experience makes it easy to join us and start making an impact from anywhere. If you’re ready to make a global impact, help scale unique products across Coursera + Udemy, and grow your career, apply below.
Job Overview:
The Operations Manager, Partner Success Systems will drive operational efficiency and scalability across Coursera’s partner account management ecosystem. This role focuses on process optimization, AI-enhanced automation, and implementing best practices to increase the effectiveness of account management and partner content launch operations. You will play a critical role in equipping the Partner Success team with streamlined processes, actionable insights, and technical solutions to support their collaboration with university and industry partners. By establishing metrics, leading change initiatives, and driving alignment across workflows, you will ensure a high-quality approach to account management. This role provides a unique opportunity to shape Coursera’s partner operations through the fine balance of rigorous program management and technical innovation, directly contributing to our mission of providing access to world-class education for all.
Responsibilities:
- Collaborate closely with key stakeholders in the Partner Success team to translate operational challenges into technical requirements and scalable process improvements.
- Identify workflow bottlenecks and implement automated solutions—including leveraging GenAI—to drive efficiency in partner account management and content launches.
- Facilitate internal change management initiatives and lead the technical transition to new systems and workflows.
- Develop and maintain SOPs, compliance standards, and quality controls to ensure consistent, high-quality partner account management.
- Establish and monitor performance metrics to provide data-driven insights that enhance team and partner success.
- Manage technical projects from requirements gathering to solution development and success measurement, ensuring alignment across cross-functional teams.
Basic Qualifications:
- 7+ years of experience in business operations, technical program management, or systems-oriented roles, with a proven track record of scaling complex workflows in high-growth environments.
- Demonstrated experience architecting and deploying logic-based automations or system improvements from the ground up (e.g., using no-code/low-code tools, CRM customization, or automated workflows).
- Strong background in end-to-end project lifecycle management, with the ability to lead high-stakes change initiatives across global, distributed teams.
- Hands-on experience with CRM architecture (e.g., Salesforce or HubSpot) and a deep understanding of how to structure data and workflows for scalability.
- Ability to use data to identify systemic trends, monitor performance metrics, and drive proactive operational improvements.
Preferred Qualifications:
- Practical experience leveraging Generative AI tools or AI agents to modernize business workflows (e.g., prompt engineering for automated communications, content categorization, or data enrichment).
- Proficiency with the "modern ops stack," specifically automation platforms like Zapier, Make.com, or Workato to connect disparate systems.
- Familiarity with the nuances of partner account management or managing high-volume university and industry content partnerships.
- Experience building intuitive, automated dashboards (e.g., Tableau, Looker, or Salesforce Reports) that empower teams to self-serve insights.
- Experience in management consulting, technical advisory, or a "Founding Ops" role where you were responsible for building processes from 0 to 1 is an asset.
If this opportunity interests you, you might like these courses on Coursera:
- Operations and Process Management, Illinois Tech
- Influencing: Storytelling, Change Management and Governance Specialization, Macquarie University
- Generative AI for Data Analysts Specialization, IBM
#LISG1
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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 [email protected].
Skills Required
- 7+ years experience in business operations, technical program management, or systems-oriented roles with scaling complex workflows
- Experience architecting and deploying logic-based automations or system improvements (no-code/low-code, CRM customization, automated workflows)
- Proven end-to-end project lifecycle management and ability to lead high-stakes change initiatives across global, distributed teams
- Hands-on experience with CRM architecture (e.g., Salesforce or HubSpot) and structuring data and workflows for scalability
- Ability to use data to identify systemic trends, monitor performance metrics, and drive operational improvements
- Practical experience leveraging Generative AI tools or AI agents (prompt engineering, automated communications, data enrichment)
- Proficiency with automation platforms like Zapier, Make.com, or Workato to connect disparate systems
- Experience building automated, self-serve dashboards (Tableau, Looker, or Salesforce Reports)
- Familiarity with partner account management or managing high-volume university and industry content partnerships
- Experience in management consulting, technical advisory, or founding ops (building processes from 0 to 1)
Coursera Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Coursera and has not been reviewed or approved by Coursera.
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Fair & Transparent Compensation — Pay is considered competitive across many roles, supported by structured market benchmarking and clearly defined U.S. pay zones. Ongoing investment in compensation programs and market‑aligned ranges for in‑demand functions reinforce this positioning.
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Leave & Time Off Breadth — Time away programs include unlimited vacation (U.S./Canada), company days of rest, paid sick time, and paid parental leave with transitional part‑time support. This breadth of leave options contributes meaningful non‑cash value to the package.
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Flexible Benefits — A remote‑first approach is enabled through coworking access, connectivity stipends, and home‑office reimbursements. This flexibility stands out as a core strength of the total rewards offering.
Coursera Insights
What We Do
Coursera was launched in 2012 by Andrew Ng and Daphne Koller with a mission to provide universal access to world-class learning. Coursera partners with leading university and industry partners to offer a broad catalog of content and credentials, including courses, Specializations, Professional Certificates, and degrees. Coursera’s platform innovations — including AI-powered personalized guide and features, like Role Play and Course Builder, and role-based solutions like Skills Tracks — enable instructors, partners, and companies to deliver scalable, personalized, and verified learning. Institutions worldwide rely on Coursera to upskill and reskill their employees, students, and citizens in high-demand fields such as GenAI, data science, technology, and business, while learners globally turn to Coursera to master the skills they need to advance their careers. Coursera is a Delaware public benefit corporation and a B Corp. Coursera recently combined with Udemy to create one of the world’s most comprehensive skills development platforms.
Why Work With Us
People who thrive at here are customer-first builders who deeply understand our learners and partners, translate their needs into simple, high-impact solutions, and refuse to stop at “good enough.” They own outcomes end to end, move fast, simplify ruthlessly and iterate relentlessly on the metrics that matter to invent the future of learning.
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