Senior Product Manager (Applied AI)

Join Coursera as a Senior Product Manager, Applied AI. In this role, you will own customer deployments from initial discovery and product scoping through delivery, adoption, and value realization. You will work directly with enterprise customers, translate business objectives into clear product and technical requirements, and build a sequenced deployment roadmap. You will also help define the product, operating model, playbooks, and decision frameworks required to scale this new product and motion.

- Assumer la responsabilité des déploiements clients, de la découverte initiale à la réalisation de la valeur. - Travailler en étroite collaboration avec les clients pour comprendre leurs flux de travail, traduire les objectifs commerciaux en exigences claires. - Servir de propriétaire du produit pour l'engagement client, responsable de la portée, des critères de succès et de la feuille de route de déploiement.

- Experience working with B2B products involving platforms, data, APIs, integrations, infrastructure, or complex enterprise workflows - Demonstrated experience taking technically complex enterprise products, platforms, or customer deployments from discovery and scoping through production launch and adoption - Strong technical fluency and the ability to reason about enterprise software architecture, data and integrations, cloud environments, security, privacy, and software delivery - Excellent product judgment with the ability to convert ambiguous problems into clear requirements, prioritized roadmaps, and measurable outcomes - Financial and commercial acumen, including experience evaluating business cases, effort versus value, delivery economics, ROI, and the implications of scope and prioritization decisions - Strong understanding of AI- and LLM-enabled products, including where these technologies create value, their limitations, and the considerations involved in deploying them in enterprise workflows - Willingness to collaborate across global time zones and travel periodically for customer discovery, delivery, and executive engagements - Strong program and delivery management skills, including managing multiple workstreams, dependencies, risks, changing scope, and executive-level communication - Hands-on prototyping experience with AI-assisted or low-code development tools such as Claude, Cursor, Lovable, Retool, or similar platforms - Ability to operate effectively in ambiguity, influence cross-functional teams without formal authority, and communicate equally well with executives, product teams, and engineers - Strong customer-facing experience working directly with senior business leaders, technical stakeholders, and executive sponsors - 8+ years of relevant experience across B2B product management, enterprise software, technical consulting, solutions delivery, or related roles, with clear ownership of product or customer outcomes - Experience deploying AI, machine-learning, LLM, RAG, or agentic solutions into production enterprise environments - Familiarity with AI evaluation, guardrails, human-in-the-loop workflows, observability, model performance, and responsible-AI practices - Experience working in education technology, workforce transformation, talent intelligence, skills, learning platforms, or other enterprise environments involving complex stakeholder and data ecosystems - Experience delivering products or programs across multiple regions, industries, or regulatory environments