Jobs at Coursera

Build and deploy AI-powered solutions for enterprise and campus customers. Scope customer environments, prototype agentic AI solutions, design secure multi-tenant and hybrid architectures, and harden validated prototypes into production. Own identity, encryption, networking, CI/CD, observability, and production support for customer deployments. Partner with executives, product managers, AI specialists, analysts, and engineers while identifying reusable patterns and informing product strategy. Regular travel supports discovery, workshops, prototyping, executive readouts, and go-live engagements.

The Learning Designer at Coursera develops asynchronous online learning content, collaborating with SMEs and vendors to ensure high-quality educational experiences through innovative design and assessment methods.

The Systems & Operations Specialist optimizes operations through automation and effective systems management, utilizing tools like Salesforce and AI. This role emphasizes operational reliability, workflow efficiency, and data-driven decision-making within the creator ecosystem.

Lead process optimization, automation (including GenAI), and technical projects for partner account management. Implement scalable workflows, SOPs, and dashboards, measure performance, and drive cross-functional change to improve partner content launch and account operations.

Own end-to-end partner revenue reconciliation for the Degrees business: collect, validate, and reconcile partner reports versus internal data; investigate variances; manage partner follow-up; maintain documentation; partner with Finance/Accounting; respond to ad hoc requests; and improve reporting and controls through SQL, standardization, and light automation to ensure audit-ready revenue reporting.

Build and execute Coursera's India channel program: recruit and enable partners serving universities, government, and PSEs; drive partner-led revenue; create enablement assets, compliance frameworks, co-sell programs, and joint marketing; negotiate agreements; analyze partner performance and lead executive discussions.

Design and prototype scalable, skill-aligned technical learning experiences (primarily AI/ML, CS, Data Science). Collaborate with SMEs, vendors, and cross-functional teams to produce vendor-ready deliverables, build design systems, create robust assessments, and leverage GenAI and tooling to improve quality and scalability.