Job SummaryDesigns, 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.
ResponsibilitiesProduct Lifecycle Management
- 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
Product Strategy, Vision and Roadmap
- 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:
Product Performance
- 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
Cross-Functional Collaboration
- 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
Backlog Prioritization
- 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
Test Case Definition and UAT Coordination
- Leads definition of allowable configurations, test cases and executes UAT
Stakeholder Management
- 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
Qualifications- 7+ years experience preferred
- Bachelor's degree preferred
- 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
- Familiarity with LLM applications, NLP, and generative AI in enterprise workflows is strongly preferred
The targeted pay range for this position in the following location is / locations are:
Canada - Toronto Office TRO : 131,000 - 181,000 CAD / Annual
United States - Dallas Infomart Office DAI : 136,000 - 204,000 USD / Annual
Our pay ranges reflect the minimum and maximum target for new hire pay for the full-time position determined by role, level, and location.
The pay range shown is based on our compensation structure in place at the time of posting and may be updated periodically based on business needs. Individual pay is based on additional factors including job-related skills, experience, and relevant education and/or training.
The targeted pay range listed reflects the base pay only and does not include bonus, equity, or benefits. Employees are eligible for bonus, and equity may be offered depending on the position.
Equinix BenefitsAs an employee, you become important to Equinix's success. We ensure all your benefits are in line with our core values: competitive, inclusive, sustainable, connected and efficient. We keep them competitive within the current marketplace to ensure we're providing you with the best package possible. So, wherever you are in your career and life, you'll be able to enhance your experience and bring your whole self to work.
Employee Assistance Program: An Employee Assistance program is available to all employees.
US Benefits: - Insurance: You may enroll in health, life, disability and voluntary plans that are designed for you and your eligible family members. - Retirement: You and Equinix may contribute to a retirement plan to help you plan for your financial future. - Paid Time Off (PTO) and Paid Holidays: You will receive an accrued amount of PTO each pay period along with various paid holidays for you to rest and recharge. Eligibility requirements apply to some benefits. Benefits are subject to change and may be subject to specific plan or program terms.Canada Core Benefits: - Insurance: You may enroll in healthcare coverage that is designed to complement the provincial healthcare system, along with life, disability and optional benefit plans that are designed for you and your eligible family members. - Retirement: You may also enroll in Equinix-sponsored retirement or savings plans: Defined Contribution Pension Plan (DCPP), Group Retirement Savings Plan (RRSP) and Tax-Free Savings Plan (TSFA). - Vacation and Paid Holidays: Equinix offers both vacation and personal time, along with various paid holidays for you to rest and recharge. Eligibility requirements apply to some benefits. Benefits are subject to specific plan or program terms, and to change at Equinix discretion.
