Coursera: Senior Product Manager, Applied AI — India

About Coursera

Coursera operates an online learning platform. It was launched in 2012 by Andrew Ng and Daphne Koller and partners with universities, governments and companies to offer courses, certificate programmes and degrees in fields such as technology, data science and business, to individual learners and institutions. Its employer feed lists roles across product, engineering and commercial functions for this online learning platform.

The position and its setting

Coursera lists Senior Product Manager, Applied AI in India, under reference 6207501004. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: Partner Success Services
• Employer listing date: 30 September 2026

Responsibilities and work described

• Own Customer Discovery and Product Strategy
• Building: trusted relationships with customer executives, business leaders, technical stakeholders, and end users
• Leadership: 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
• Leadership: 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

Essential requirements and candidate background

• 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
• Customer-facing experience working directly with senior business leaders, technical stakeholders, and executive sponsors
• Product judgment with the ability to convert ambiguous problems into clear requirements, prioritized roadmaps, and measurable outcomes
• Program and delivery management skills, including managing multiple workstreams, dependencies, risks, changing scope, and executive-level communication
• Technical fluency and the ability to reason about enterprise software architecture, data and integrations, cloud environments, security, privacy, and software delivery
• Understanding: 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
• 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

Preferred experience and additional strengths

• Experience deploying AI, machine-learning, LLM, RAG, or agentic solutions into production enterprise environments
• Familiarity: 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

Location, schedule and contract conditions

• Advertised location: India

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Senior Product Manager, Applied AI vacancy is not an offer for reference 6207501004; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Coursera

Applications follow the official employer page linked below.

Open the official Coursera posting below and match the title and reference 6207501004.

Compare your qualifications and experience with the essential conditions for the India position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: AI

An AI-related example should make the task and evaluation explicit. Explain the inputs, the system’s intended output and how you checked errors, usefulness or reliability, rather than relying on the model name alone.

Relevant skills

• APIs
• AI/ML
• LLMs
• AI
• sales
• recruitment
• stakeholder management
• communication