Senior Product Manager

Who are we?

Job Summary

Responsibilities

• Operationalize Data Products
• Embed predictive analytics, logic engines, and intelligence directly into daily business workflows by connecting deep data pipelines to operational systems
• Data Product Lifecycle
• Proven success defining, launching, and managing core data products, algorithmic engines, data APIs, or embedded analytical systems
• Hands-on Prototyping
• Actively build early-stage proof-of-concepts, data mockups, or SQL/Python-based logic prototypes to validate data availability, model logic, and workflow integration prior to full engineering scale
• Drive Core Core Use Cases
• Productize data streams to deliver specific, high-impact business outcomes
• Translate Data to Action
• Transform raw algorithmic outputs and data tables into structured, actionable, and real-time guidance streams for frontline systems
• Continuous Optimization
• Monitor data quality, model drift, performance metrics, and end-business impact to iteratively refine underlying logic and intelligence accuracy
• Unlock Data Value
• Data insights deliver true ROI only when operationalized. You will prevent valuable intelligence from being buried in passive, disconnected reports
• Systemize Intelligence
• You will eliminate reliance on intuition and static pricing strategies by systematically injecting data-driven recommendations into daily operations
• Scale Decision Quality
• Your data products will shift enterprise execution from reactive to proactive, ensuring consistent decision quality across all regions, and customer segments
• Data Product Expertise
• 7+ years of Product Management experience specifically owning data products, data platforms, data APIs, analytics engines, or core ML/AI systems
• Hands-on Technical Skills
• Proficiency in Google Agents, Advanced SQL skills to query complex, distributed data sets, perform ad-hoc analysis, and validate data integrity
• Python or R data manipulation tools are sufficient to explore data structures, query databases, and rapidly build functional backend prototype
• Data Architecture Knowledge
• Deep understanding of modern data stacks, data pipelines (ETL/ELT), data warehousing (e.g. Big Query, Databricks), and API-driven delivery mechanisms
• Business & Algorithmic Logic
• Strong background in B2B sales cycles, pricing strategies, and data segmentation methodologies
• Cross-Functional Leadership
• Proven ability to collaborate heavily with data scientists, data engineers, and business process owners to translate operational bottlenecks into technical data specifications
• 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
• The targeted pay range for this position in the following location is / locations are:
• Canada - Toronto Office TRO : 131,000 - 181,000 CAD / 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 Benefits
• As 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.
• Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form .
• Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.
• We use artificial intelligence in our hiring process. Learn more here .