Jobs at Coursera + Udemy

Process global invoices, manage vendor onboarding and records, support month-end accruals, audit employee expenses, administer travel and corporate card programs, resolve payment and policy issues, analyze travel and expense data, and assist with process improvements and automation.

Build and operate production LLM systems, including prompt and pipeline versioning, evaluations, monitoring, observability, RAG and vector-store infrastructure, safety guardrails, and cost governance. Develop CI/CD and operational tooling for non-deterministic AI outputs, manage reliability and compliance requirements, and collaborate with engineering and product teams to turn AI prototypes into scalable, secure, cost-effective production systems.

Chief of Staff to the Chief Content Officer, responsible for translating company strategy into operating systems, driving planning and governance, overseeing strategic projects, enabling cross-functional alignment, supporting executive decision-making, leading engagement and communications initiatives, and improving organizational performance across the Content organization.

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 productionize validated solutions. Responsibilities include backend engineering, cloud infrastructure, data engineering, IAM, encryption, secure networking, CI/CD, observability, and production support. The role is highly customer-facing, involving executive discovery, live demonstrations, go-live support, and regular domestic and occasional international travel.

Own Udemy’s marketing strategy and execution in Japan, serving as the primary liaison with Benesse. Lead B2B demand generation, multi-channel campaigns, customer marketing, partnership initiatives, and field events. Manage conferences, webinars, trade shows, vendors, budgets, and cross-organizational collaboration. Analyze performance, optimize marketing investments, and drive pipeline growth, customer engagement, retention, and expansion across the Japanese market.

Lead backend engineering initiatives for the Monetization team by designing scalable microservices, APIs, storage layers, and data models. Build and monitor services, conduct A/B testing, analyze metrics, and use insights to guide product decisions. Collaborate with product managers and stakeholders on requirements, technical tradeoffs, architecture, and roadmap priorities while contributing hands-on development and technical leadership.

Owns enterprise AI customer deployments from discovery and product scoping through delivery, adoption, and measurable value. Translates customer workflows into product requirements, deployment roadmaps, and technical solutions while partnering with engineering, sales, finance, legal, security, and customer success. Evaluates AI-specific considerations, business cases, risks, and product opportunities, then converts recurring customer needs into scalable capabilities and operating playbooks.

Own enterprise AI customer deployments from discovery and product scoping through delivery, adoption, and value realization. Translate customer workflows into product requirements, technical solutions, deployment roadmaps, and measurable outcomes. Partner with engineering, sales, customer success, finance, legal, security, and operations while evaluating AI trade-offs, business value, and production readiness. Identify reusable customer needs and help establish scalable product, operating, and deployment playbooks.

Own the full enterprise customer lifecycle, including new logo acquisition, account expansion, renewals, executive relationship management, territory planning, consultative selling, forecasting, and complex contract negotiations. Partner with Customer Success and cross-functional teams to deliver learning outcomes, drive ARR and retention targets, maintain CRM discipline, and represent the company with customers and prospects. Travel up to 25%.

Build and scale production-grade agentic AI infrastructure and platform capabilities. Lead architecture, technical design, reliability, scalability, data privacy, and end-to-end delivery. Collaborate with product and innovation teams to define customer solutions, mentor engineers, improve developer experience, and resolve complex technical issues. The role requires backend engineering, cloud infrastructure, APIs, databases, automated testing, infrastructure as code, and CI/CD expertise.

Build applied AI systems and prototypes using LLMs, RAG pipelines, vector databases, agentic workflows, structured extraction, and custom models. Design evaluation frameworks, measure accuracy and grounding, analyze errors, and iterate on solutions. Work with large structured and unstructured datasets using Python, SQL, and cloud data platforms. Partner with product, data, engineering, and business teams to translate ambiguous problems into measurable AI solutions and document architectures, prompts, runbooks, and results.

Identify, prospect, and close new business with large enterprise clients in Korea. Manage complex sales cycles, build C-suite relationships and customer champions, execute strategic territory plans, negotiate contracts, and exceed sales targets. The role partners with Customer Success, Solutions Engineering, Marketing, Product, Legal, Deal Desk, and executives to drive customer acquisition, expansion, retention, and long-term account value.

Own and execute SEO and organic discovery strategies across web, AI search, and emerging platforms. Lead technical, content, and programmatic SEO initiatives; partner with Marketing, Product, Engineering, and Content teams; improve indexing, site performance, structured data, site architecture, visibility, engagement, and conversion; and establish reporting to measure traffic and business impact.

Build and improve test infrastructure, automation frameworks, CI/CD pipelines, and end-to-end testing strategies. Lead quality initiatives, develop AI-augmented testing solutions, monitor test environments, support incident resolution, and use quality and performance metrics to improve software reliability. Collaborate with Infrastructure, SRE, engineering leaders, and product teams in an agile environment to expand test coverage and enable safe, efficient delivery.

Advocate for learners and administrators by translating user signals into platform improvements. Partner with Product, Engineering, Support, Marketing, and customer-facing teams on feature-launch readiness, issue triage, escalation resolution, operational process improvements, and internal tools. Analyze quantitative and qualitative support data, communicate insights to stakeholders, influence product roadmaps, and develop scalable, user-centered solutions.

Own the strategic vision and roadmap for Coursera’s AI-driven search experience. Lead conversational search, personalization, semantic and multilingual search, ranking, and discovery improvements. Partner with engineering, design, research, data science, ML, marketing, and partnerships teams to deliver scalable platform capabilities. Use experimentation, market analysis, KPIs, and customer insights to improve conversion, merchandising, learner experience, and revenue.

Build and deploy AI-powered customer solutions across discovery, prototyping, and production. Responsibilities include designing secure multi-tenant and hybrid architectures, integrating identity and access management, encryption, networking, data engineering, CI/CD, observability, and production support. The role partners directly with enterprise customers, executive sponsors, and cross-functional teams to solve ambiguous problems, demonstrate prototypes, and standardize successful solutions. Regular domestic and occasional international travel is required.