Senior Product Manager

Equinix•Toronto, ON

About The Position

Designs, develops and manages the lifecycle of a product or group of products from concept to launch to end of life. Translates market opportunities and customer demand into viable products and services that differentiate Equinix in the market. Sets the vision and strategy for their product ensuring it is competitively positioned and customer-centric. Manages the product roadmap including features, upgrades and maintenance of the product or product line. Works cross functionally with user experience, engineering, operations, solution architects, marketing and others to design, build and launch new products and/or product features.

Requirements

7+ years of experience in Product Management or Product Owner roles, preferably in enterprise SaaS, Revenue Operations, or B2B commercial platforms
Demonstrated experience in AI/ML products from discovery through delivery and adoption
Experience working within Agile/Scrum delivery frameworks with cross-functional engineering and data science teams

Nice To Haves

Bachelor's degree preferred
Familiarity with LLM applications, NLP, and generative AI in enterprise workflows is strongly preferred

Responsibilities

Executes on the defined strategy and vision for AI within the Quoting, Solutioning, and Contracting domains of Lead to Cash
Manages the full AI product lifecycle — from ideation and discovery through build, launch, adoption, and continuous improvement
Maintains awareness of the competitive AI landscape and emerging technologies applicable to CPQ, CLM, and solution design workflows
Partners with Sales, Tech Sales, and Sales-supporting teams to translate business needs into clearly scoped, AI-enabled solutions
Gathers, documents, and designs the best possible end-user experience across quoting, solutioning, and contracting workflows — incorporating the voice of the customer and the voice of the rep into the AI product roadmap
Involves engineers, designers, data scientists, and business stakeholders to create a shared vision and clear, measurable goals for each AI product initiative
Identifies and documents where AI reduces friction across the quote-to-contract lifecycle — pricing inconsistency, manual contract redlines, slow approvals, scope estimation errors — and incorporates those opportunities into a prioritized AI roadmap
Defines a multi-horizon roadmap that balances quick-win automation with longer-term intelligent decision support across all three domains
Defines the metrics and KPIs used to measure AI-enabled product success across all three domains
Establishes baselines and targets for each AI initiative prior to launch
Monitors model performance post-launch, defines retraining triggers, and leads product retrospectives tied to outcome data
Produces executive-level reporting on AI initiative ROI, adoption, and delivery progress
Designs product training curriculum for AI features across Quoting, Solutioning, and Contracting — ensuring end users understand not just how to use AI tools, but when to trust, override, or escalate AI outputs
Leads cross-functional trainings, demos, and working sessions with users and business stakeholders
Partners with data engineering on feature pipelines, training datasets, data quality standards, and model retraining workflows
Creates and owns the AI product backlog across Quoting, Solutioning, and Contracting — writing clear user stories, acceptance criteria, and definition of done for every AI feature
Works regularly with the team to refine the backlog, add detail, resolve dependencies, and sequence work by business value and technical feasibility
Collaborates closely with engineering and data science to size work, surface risks, and maintain a healthy sprint-ready backlog
Applies Lean principles to eliminate process waste before layering AI on top — ensuring AI solves real friction, not just digitizes broken workflows
Manages dependencies between AI feature teams and platform, integration, and infrastructure teams
Leads definition of allowable configurations, test cases and executes UAT
Manages stakeholder expectations within and/or across functions
Identifies and proactively includes correct stakeholders and communications effectively
Understands stakeholder needs and builds effective relationships
Utilizes effective methods of communication with stakeholders, varying approach accordingly