Senior Product Manager, Applied AI

Coursera; Mumbai; Vor Ort; INR 3.500.000 - 6.500.000; Vollzeit

Zusammenfassung

Coursera is hiring a Senior Product Manager, Applied AI to own customer deployments from discovery through delivery and value realization. You will work with enterprise customers to translate objectives into clear requirements and a sequenced deployment roadmap, partnering with engineers and cross-functional teams to deliver measurable business outcomes.

The role emphasizes ownership of customer engagements, problem framing, and scaling this new product motion across global customers.

Qualifikationen

• 8+ years of experience in B2B product management, enterprise software, or related roles.
• Ability to own the product or customer outcomes from discovery to production adoption.
• Strong customer-facing experience with senior leaders and technical stakeholders.
• Excellent product judgment and ability to translate ambiguous problems into clear requirements.
• Experience with AI-enabled products and enterprise deployments.

Aufgaben

• Build trusted relationships with customer executives, business leaders, technical stakeholders, and end users.
• Lead discovery to understand objectives, workflows, data constraints, and desired outcomes.
• Identify high-value use cases, define minimum viable deployment, and set success criteria.
• Translate customer problems into clear product requirements and roadmaps.
• Translate objectives into a deployment roadmap with milestones, workstreams, risks, and launch criteria.
• Create product artifacts: problem statements, requirements, workflows, user stories, acceptance criteria, and decision documents.
• Own delivery governance across Coursera and customer teams.
• Collaborate with Forward Deployed Engineers and internal teams to translate workflows into deployable solutions.
• Evaluate trade-offs, ensure feasible, secure, and customer-aligned solutions.
• Define value hypotheses and establish metrics to measure adoption and ROI.
• Work with Sales, Finance, Legal, and Customer Success on scope and commercial changes.
• Identify recurring workflows to build reusable capabilities.
• Contribute to repeatable discovery, scoping, deployment, and measurement playbooks.

Kenntnisse

Customer relationships

Discovery & scoping

Enterprise software

Stakeholder management

Roadmapping

AI/LLM products

Tools

Claude

Cursor

Lovable

Retool

Jobbeschreibung

About Coursera + Udemy

Coursera and Udemy are now one company, bringing together two mission-driven brands to create the world’s most powerful platform for turning learning into progress. Together, we help more than 300 million learners and 12,000+ enterprise customers build the skills they need for a world being reshaped by AI. Read more about the combined company by visiting our blog.

Why join us now?

AI is transforming how people learn, work, and grow, and the need for new skills has never been greater. Coursera brings trusted content and credentials from leading university and industry partners, while Udemy brings a dynamic skills marketplace and global network of real‑world experts. By combining these strengths, we can connect more people and organizations to the skills they need, when they need them.

Shape what comes next

By joining our team, you’ll have the opportunity to reshape how the world learns and applies skills—and help millions of people participate in the new economy. Bring your ideas, expertise, and perspective to meaningful work that can make a difference at global scale.

Job Overview

We are looking for a Senior Product Manager, Applied AI to own customer deployments from initial discovery and product scoping through delivery, adoption, and value realization.

In this role, you will work directly with enterprise customers to understand their most important workflows, translate business objectives into clear product and technical requirements, and build a sequenced deployment roadmap. You will partner closely with Forward Deployed Engineers, internal Product and Engineering teams, and cross‑functional partners across Sales, Customer Success, Data, Security, Legal, Finance, and Operations.

You will serve as the product owner for the customer engagement: accountable for the problem being solved, the scope and success criteria, the deployment roadmap, and the business value ultimately delivered. You will also help identify which customer needs represent repeatable product opportunities and work with the internal teams to incorporate those insights into the broader product roadmap.

This is an opportunity to join an emerging motion at an early stage and requires people with entrepreneurial mindset. Beyond delivering individual customer engagements, you will help define the product, operating model, playbooks, and decision frameworks required to scale this new product and motion.

What You’ll Do

Own Customer Discovery and Product Strategy

• Build trusted relationships with customer executives, business leaders, technical stakeholders, and end users.
• Lead discovery to understand customer objectives, workflows, user needs, data and technical constraints, and desired business outcomes.
• Identify and prioritize high‑value use cases, define the minimum viable deployment, and establish clear success and acceptance criteria.
• Translate ambiguous customer problems into clear product requirements, prioritization decisions, and a sequenced product and deployment roadmap.

Lead End-to-End Customer Deployment

• Translate customer objectives into a clear product and deployment roadmap covering milestones, workstreams, dependencies, risks, decision points, and launch criteria.
• Create high‑quality product artifacts, including problem statements, product requirements, workflow definitions, user stories, acceptance criteria, prioritization frameworks, and executive decision documents.
• Own delivery governance across Coursera and customer teams, maintaining clarity on scope, timelines, responsibilities, risks, and unresolved decisions.

Partner on Technical Solution Design and Deployment

• Work closely with Forward Deployed Engineers and internal Engineering teams to translate business workflows into deployable technical solutions.
• Participate credibly in discussions involving system architecture, APIs, data flows, integrations, identity and access management, infrastructure, security, privacy, scalability, reliability, and deployment models.
• Evaluate technical and product trade‑offs, challenge assumptions, and ensure that proposed solutions are feasible, supportable, secure, and aligned with customer outcomes.
• Partner with engineering teams on AI‑specific considerations such as data quality, evaluation approaches, human oversight, model limitations, responsible AI, and production‑readiness criteria.

Own Business Value and Create Product Leverage

• Define the value hypothesis for each customer engagement and establish the business, adoption, and product metrics required to measure success.
• Evaluate effort, implementation complexity, cost‑to‑serve, and expected customer value when making scope and prioritization decisions.
• Partner with Sales, Finance, Legal, and Customer Success on scope boundaries, business cases, commercial assumptions, and material changes to customer engagements.
• Translate deployment results into clear narratives on adoption, ROI, customer impact, and future opportunities.
• Identify recurring customer workflows, requirements, and technical patterns that can become reusable product capabilities.
• Partner with Product and Engineering teams to bring field insights into the broader roadmap and build repeatable discovery, scoping, deployment, and measurement playbooks.

What We’re Looking For

• 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.
• Demonstrated experience taking technically complex enterprise products, platforms, or customer deployments from discovery and scoping through production launch and adoption.
• Experience working with B2B products involving platforms, data, APIs, integrations, infrastructure, or complex enterprise workflows.
• Strong customer‑facing experience working directly with senior business leaders, technical stakeholders, and executive sponsors.
• Excellent product judgment with the ability to convert ambiguous problems into clear requirements, prioritized roadmaps, and measurable outcomes.
• Strong program and delivery management skills, including managing multiple workstreams, dependencies, risks, changing scope, and executive‑level communication.
• Strong technical fluency and the ability to reason about enterprise software architecture, data and integrations, cloud environments, security, privacy, and software delivery.
• 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.
• Hands‑on prototyping experience with AI‑assisted or low‑code development tools such as Claude, Cursor, Lovable, Retool, or similar platforms.
• Financial and commercial acumen, including experience evaluating business cases, effort versus value, delivery economics, ROI, and the implications of scope and prioritization decisions.
• Ability to operate effectively in ambiguity, influence cross‑functional teams without formal authority, and communicate equally well with executives, product teams, and engineers.
• Willingness to collaborate across global time zones and travel periodically for customer discovery, delivery, and executive engagements.

Nice to Have

• 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.

Why join us?

• Help build a new motion from the ground up. You will play a formative role in defining how Coursera scopes, delivers, measures, and scales customer‑facing AI solutions.
• Own the complete customer‑to‑product loop. Work directly with enterprise leaders, partner with Forward Deployed Engineers, see solutions move into production, and use field learning to shape reusable product capabilities.
• Move beyond experimentation. This role is accountable not only for prototypes or recommendations, but for adoption, operationalization, and measurable customer value.
• Work on consequential problems. Apply AI and product thinking to complex workforce, learning, and organizational challenges faced by institutions around the world.
• Operate with meaningful autonomy. Join a high‑ownership, cross‑functional team that values speed, rigorous product thinking, practical execution, and demonstrated business impact.
• Contribute to Coursera’s mission. Help organizations build the capabilities they need while advancing Coursera’s mission to transform lives through learning.

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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 [e-mail].