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Added 4 mins ago
Service and Program Staff - Ticket Staff - Lively Ski Hill
City of Greater Sudbury
Sudbury, ON · Greater Sudbury, ON
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Added 19 mins ago
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Added 19 mins ago
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Added 19 mins ago
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Added 20 mins ago
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Program/project management and delivery or equivalent consulting experience.
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Vaughan, ON
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Added 21 mins ago
Branch Manager III - Speedvale Branch
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Guelph, ON
$95,000 to $104,000 CAD / year
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The Branch Manager III is accountable for providing leadership and direction to a team of financial services and sales professionals while supporting Meridian’s mission statement. The…
Added 21 mins ago
Manager, Clinical Operations
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$60.78 to $87.37 CAD / hour
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Added 21 mins ago
Patient Management Centre Representative
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Toronto, ON
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Added 34 mins ago
Manufacturing Program Manager, Sustaining
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Added 34 mins ago
Senior Manager, Retail Brand Marketing
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Role: Manager, Mental Health Services and Psychiatry

Coursera

Senior Product Manager, Applied AI

Canada

Pay: Job titles may span multiple career levels, and the targeted hiring base salary range for this role in Canada is [$164,000 - $205,000].
Posting language: English
Posted: Sep 30, 2026

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Original job description

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.

Compensation

Coursera offers competitive pay and fair compensation practices across all regions. Job titles may span multiple career levels, and the targeted hiring base salary range for this role in Canada is [$164,000 - $205,000]. Actual compensation will depend on factors such as experience, education, transferable skills, business needs, and location. This range may be adjusted over time and may include eligibility for variable pay, equity, and comprehensive benefits.

For more information about how Coursera collects and uses your personal information, please see our Coursera + Udemy Global Applicant Privacy Notice.

To protect against recruitment fraud, Coursera + Udemy recruiters only communicate via official coursera.org/udemy.com email addresses and never through personal accounts. We do not accept resumes via email or social media; please submit all applications directly through our careers page.

If you encounter suspicious recruitment activity, please report it via our Fraudulent Activity Submission Form.

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 recruiting@coursera.org.

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More about this job

Responsibilities

The Senior Product Manager will own customer deployments from discovery through to value realization, translating business objectives into technical requirements. They will lead cross-functional teams to build and scale AI-driven solutions while identifying repeatable product opportunities.

Requirements

Candidates must have 8+ years of experience in B2B product management or technical consulting with a focus on complex enterprise deployments. Strong technical fluency in AI/LLM technologies, software architecture, and the ability to influence stakeholders without formal authority are essential.

Skills

Product Management
Applied AI
Enterprise Software
Technical Consulting
Roadmap Development
Stakeholder Management
Data Analysis
API Integration
Cloud Environments
Security
Privacy
LLM
RAG
Prototyping
Business Case Development
Cross-functional Leadership

Benefits

Variable pay
Equity
Comprehensive benefits

Visa sponsorship

Not detected in the job text

Keywords

Applied AI
Product Management
Enterprise Software
Technical Consulting
LLM
RAG
Claude
Cursor
Retool
API
Data Flows
Cloud Infrastructure
Security
Privacy
Scalability
ROI
Workforce Transformation
Talent Intelligence
EdTech
Product Roadmap
Stakeholder Management
Cross-functional Collaboration
Business Case
Deployment Governance
Customer Discovery
Machine Learning
Agentic Solutions
Responsible AI
Observability
Low-code Development

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