Senior product manager for applied AI at Coursera (India), owning customer discovery and product strategy for enterprise AI learning products.

This full-time India role was posted on 29 September 2026. The listing describes owning customer discovery and product strategy, building trusted relationships with customer executives, business leaders, technical stakeholders and end users. Requirements include 8+ years across B2B product management, enterprise software, technical consulting or solutions, and demonstrated experience taking technically complex enterprise products, platforms or customer deployments from discovery through delivery.

About Coursera

Coursera is an online learning platform offering courses and credentials from universities and companies. Per its current listings, Coursera and Udemy are now one company, together serving more than 300 million learners and 12,000+ enterprise customers.

The combined company hires in India across engineering and AI roles, with current listings describing work on AI agent platforms for learning and enterprise experiences. Learn more on Coursera's website.

The role in plain terms

The enterprise-customer-discovery emphasis makes this a B2B AI product role, not a consumer learning one: your users are the L&D and technical leaders of the 12,000+ enterprise customers the listing cites. The discovery-through-delivery requirement filters for PMs who have actually shipped complex enterprise products, not only run discovery. Applied AI in learning means concrete problems - skills mapping, tutoring, content workflows - where measurable customer outcomes matter more than model novelty.

The team and the work

Per the listing, the company context is the combined Coursera-Udemy organisation, serving 300 million+ learners and 12,000+ enterprise customers, so the role's products sit at unusual scale in both consumer and enterprise directions.

What the employer asks for

These requirements are quoted from the employer's listing, kept in their exact words so eligibility details are not distorted:

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...
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.

Who this role suits

Senior B2B PMs with 8+ years, enterprise discovery-to-delivery experience, and genuine interest in AI-powered learning. Consulting or solutions backgrounds are explicitly welcomed by the requirement wording. Not for consumer-only PMs.

Practical notes

For enterprise AI PM roles, expect a discovery case study: how you found the real problem behind a customer's ask and what you shipped. Executive-relationship stories are likely to be probed given the listing's emphasis.

Working at Coursera

Engineering at Coursera covers the learning platform, enterprise products, and newer AI agentic systems described in its listings.

How to apply

Apply directly on the employer's site: Senior Product Manager, Applied AI at Coursera. We found this listing on the Greenhouse public job board (job-boards.greenhouse.io), where it was posted on 29 Sep 2026 and was still open when we checked on 30 Oct 2026. Before applying, re-read the employer's own description in full, since eligibility details, deadlines and process steps can change at any time and the employer's page is always the final word. Tailor your resume to the specific requirements above rather than sending a generic one: mirror the skills and tools the listing names where you genuinely have them. A short, specific note on why this team and this problem interest you goes further than a long generic cover letter. Never pay a fee to apply or interview; genuine employers, including this one, do not charge candidates.

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This is our short summary of the employer's listing. The full description, eligibility and deadline are on the employer's page.