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About Coursera
Coursera was launched in 2012 by Andrew Ng and Daphne Koller with a mission to provide universal access to world-class learning. Today, it is one of the largest online learning platforms in the world, with 197 million registered learners as of December 31, 2025.
Coursera partners with over 375 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 generative AI-powered features like Coach, 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
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 and let you choose the best way you work, whether it's from home, a Coursera hub, or a co-working space near you. Our virtual hiring and onboarding make it easy to join us and start making an impact from anywhere. If you’re ready to make a global impact, scale unique products exclusive to Coursera, and expand your career horizons, apply below.
Job Overview
This is a critical role for the evolution of our creative system that will help Coursera’s creative team expand capacity by designing the systems, workflows, and AI-enabled processes that allow us to produce high-quality creative at scale.
You will evaluate current production methods, identify where automation and AI can eliminate friction, and build Figma-based templates and repeatable workflows that make it easy to generate consistent, multi-format, multi-language assets. You will use applied AI and no-code automation tools to streamline production, and you will partner closely with marketing and engineering automation teams to define the creative workflows those groups later scale and operationalize. You will be the systems and workflow specialist who enables the creative team to deliver high-quality, world-class marketing at scale.
Responsibilities
- Build the Coursera Creative System for Scale: Translate brand guidelines into a foundational Figma component library and documentation system, training cross-functional teams to use reusable assets that ensure quality and consistency across all automated workflows.
- Develop Scalable Creative Workflows: Design repeatable file structures and production workflows in Figma that enable the efficient generation of high-volume asset variations, localized layouts, and multi-channel formats without compromising quality.
- Drive Strategic Automation & AI: Identify high-volume production bottlenecks (e.g. resizing, localization, QA) and implement responsible AI and batch-processing solutions that directly improve production velocity and marketing performance.
- Establish Enablement & Guardrails: Create clear documentation, training guides, and quality standards (e.g., spacing, contrast, safe zones) to ensure seamless, error-free handoffs between designers, copywriters, and operational partners like Coursera’s Services Operations Center (SOC) and Marketing Strategy and Operations (MSO) teams.
- Measure, Improve, and Mature the System: Define and track key performance metrics—such as time saved and speed-to-market—to ensure the creative operating system is driving tangible business value.
- Technical Architecture & Tooling: Maintain expert-level proficiency in Figma (Auto-layout, Variables, Plugins) and Creative Cloud, while exploring emerging AI tools to empower teams to deliver high-quality, world-class marketing at scale.
Qualifications
- 8+ years experience in design systems roles with deep mastery of Figma component architecture, auto-layout, and scalable asset production.
- Experience building creative workflows that scale output through templates, workflow automation, and the thoughtful use of AI tools.
- Familiarity with automation and workflow tools that streamline creative production (e.g., localization plugins, data-merge workflows, or Creative Cloud integrations).
- Demonstrates expertise in applying AI tools to scale creative production, including the ability to define structured prompts and reference inputs.
- Experience translating brand guidelines into repeatable systems that both designers and non-experts can apply.
- Comfortable building documentation, onboarding materials, and training modules.
Nice to haves
- This role will partner with other technical teams in Coursera to scale workflows, but familiarity/comfort with agents, coding, and AI tools will facilitate the collaboration that will enable us to successfully scale creative workflows.
Compensation
This role is available in the following US Pay Zones:
US Zone 3: $140,101 - $164,825
US Zone 4: $130,411 - $153,425
At Coursera, we offer competitive, zone-based pay aligned to your location, experience, and role level across four U.S. pay zones. Our total rewards package goes beyond salary, with comprehensive health and wellness benefits, bonus and RSU equity programs, and global perks designed to help you grow and thrive wherever you are.
US Pay Zones
US-Z1: Bay Area
US-Z2: NYC and Seattle Metro
US-Z3: CA, WA, NY, NJ, CO, CT, DC, GA, IL, MA, MD, OR, RI, TX, VA
US-Z4: AK, AZ, DE, FL, HI, ID, IN, IA, KS, KY, MI, MN, MO, MT, NC, NV, NH, OH, OK, PA, SC, TN, UT, VT, WI
Keep LearningIf this opportunity interests you, you might like these courses on Coursera:
- Navigating Generative AI Ethics
- IBM RAG and Agentic AI
- Building with the Claude API
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]. Learn more in our CCPA Applicant Notice and GDPR Recruitment Notice.
To protect against recruitment fraud, please note that Coursera recruiters will only communicate with candidates using official coursera.org email addresses. We do not conduct interviews or negotiate offers via personal or non-coursera.org accounts.
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