Product Manager

Who are we? Equinix is the world’s digital infrastructure company®, shortening the path to connectivity to enable the innovations that enrich our work, life and planet. A place where bold ideas are welcomed, human connection is valued, and everyone has the opportunity to shape their future. A career at Equinix means being at the center of shaping what comes next and amplifying customer value through innovation and impact. You’ll work across teams, influence key decisions, and help shape the path forward. You’ll find belonging, purpose, and a team that welcomes you—because when you feel valued, you’re empowered to do your best work. Job Summary We are seeking a highly technical, execution-focused, and hands-on Data Product Manager to manage the daily lifecycle of our core data assets. In this role, you will treat data as a first-class product, executing the delivery roadmap from initial data ingestion and modeling through to engineering and deployment. You will bridge the gap between complex data infrastructure and operational needs, ensuring our analytical engines, models, and pipelines deliver real-time, automated value directly to the business. This role requires strong technical execution and product management discipline. You will not focus on front-end user experiences or static dashboards. Instead, you will engineer and optimize the underlying data structures, APIs, and algorithmic logic that power automated decision-making and fuel enterprise workflows within a modern Google Cloud Platform (GCP) ecosystem. Responsibilities Own the Data Product Lifecycle: Deliver the roadmaps for assigned data products, tracking development from data sourcing and processing to production implementation and delivery Embed Analytics & Intelligence: Connect with business process owners to embed predictive models, rules engines, and data-driven insights directly into operational workflows and daily business applications Hands-on Prototyping: Actively build early-stage proof-of-concepts, data mockups, and SQL/Python-based logic prototypes to validate data availability, model logic, and workflow integration prior to full engineering scale Translate Data to Action: Transform complex data structures, raw algorithmic outputs, and data tables into clean, actionable, and context-aware guidance streams available at the exact moment decisions are made Monitor Product Performance: Track daily data health, product metrics, and pipeline reliability. Continuously monitor performance and refine models to resolve drift, ensure data quality, and maximize business impact Role Impact Operationalize Insights: Maximize data utility and unlock ROI by shifting analytics out of passive, disconnected reporting tools and directly into live business execution Systemize Intelligence: Prevent a reliance on intuition or static strategies by systematically injecting proactive, data-driven recommendations into daily operations Ensure Decision Consistency: Enable reliable operational scale and higher win rates by standardizing data products and automated logic across diverse segments, regions, and customer footprints Qualifications Core Data Product Management Data Experience: 5+ years of experience working directly with data-centric products, data platforms, data APIs, or analytics infrastructure (e.g., as a Data Product Manager, Technical Product Manager, Data Analyst, or Data Engineer) Product Delivery: Experience managing a product backlog, writing technical user stories, participating in sprint cycles, and prioritizing engineering tasks Requirement Mapping: Ability to translate defined business goals into structured data requirements, identifying the inputs and logic parameters needed GCP, BigQuery, & Advanced SQL (Primary Tech Stack) Advanced SQL Mastery: Expert-level SQL skills to write highly optimized, complex analytical queries. Proficiency with window functions, Common Table Expressions (CTEs), nested fields, and performance tuning for massive datasets Google BigQuery Expertise: Hands-on experience navigating the BigQuery architecture. Competency using BigQuery features like partitioned/clustered tables, materialized views, and BigQuery ML for rapid model deployment Google Cloud Platform (GCP) Ecosystem: Solid understanding of core GCP data infrastructure tools (e.g., Cloud Storage, Dataflow, Dataproc, Pub/Sub, Vertex AI) used to orchestrate, store, and stream data across enterprise applications Technical & Hands-On Prototyping Scripting Capabilities: Fundamental proficiency in Python or equivalent scripting languages to manipulate data, connect to cloud APIs, and test functional logic prototypes Modern Data Engineering: Practical understanding of basic ETL/ELT pipelines, data transformations (e.g., using dbt within BigQuery), and data warehousing concepts API Fundamentals: Good understanding of how APIs and microservices are used to stream data product outputs from cloud environments into target business systems Analytical & Algorithmic Domain Knowledge Predictive & Scoring Logic: Foundational understanding of predictive modeling, scoring algorithms, look-alike logic, and data segmentation frameworks Rules Engines: Familiarity with recommendation logic architectures and dynamic optimization rules engines Collaboration & Communication Team Liaison: Ability to communicate clearly and coordinate effectively between technical engineering teams (Data Engineers, Data Scientists) and commercial business users Problem Solver: Analytical mindset focused on troubleshooting data flow issues and translating technical complexities into clear project status updates Stakeholder Management Manages stakeholder expectations within and/or across functions Identifies and proactively includes correct stakeholders and communications effectively Qualifications 5+ 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 : 99,000 - 149,000 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. 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. 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. This posting is a new position within our organization.

The Data Product Manager will own the lifecycle of core data assets, managing roadmaps from ingestion to deployment. They will bridge the gap between complex data infrastructure and operational needs by embedding predictive models and data-driven insights into business workflows.

Candidates should have 5+ years of experience in data-centric product management or engineering with expert-level SQL and BigQuery skills. A bachelor's degree is preferred, along with proficiency in Python and experience within the Google Cloud Platform ecosystem.

• Healthcare coverage • Life insurance • Disability insurance • Defined Contribution Pension Plan • Group Retirement Savings Plan • Tax-Free Savings Plan • Vacation • Paid holidays • Employee Assistance Program

Identified from the job description. Confirm important requirements above.

• Data Product Management
• SQL
• Google BigQuery
• Python
• Data Modeling
• ETL/ELT
• API Development
• Predictive Modeling
• Data Engineering
• Cloud Infrastructure
• Product Lifecycle Management
• Stakeholder Management
• Data Analytics
• Google Cloud Platform
• Data Pipeline Management
• Influencing Skills
• Gemini Enterprise Agent Platform
• Domain Knowledge
• Pipelines
• Google Cloud Dataproc
• Data Availability
• Influencing Without Authority
• Product Delivery
• Workflow Management
• Product Metrics
• Automated Logic (Building Automation System)
• Technical Engineering
• Expectation Management
• Schema Markup
• Google Cloud Platform (GCP)
• Data Segmentation
• Application Programming Interface (API)
• Artificial Intelligence
• Algorithms
• Data Analysis
• Business Continuity Planning
• Dashboard
• Business Process
• Business Systems
• Decision Making
• Hierarchical And Recursive Queries In SQL
• Communication
• Dataflow
• Data Infrastructure
• Extract Transform Load (ETL)
• Data Quality
• Data Structures
• Data Warehousing
• Employee Assistance Programs
• Innovation

• Data & Analytics
• Technology
• Software
• Management & Leadership
• Engineering
• Product Manager
• Technical Product Manager
• Research and Development Managers
• Marketing Managers

Minimum education

Bachelor’s degree

Minimum experience

5+ years

Posting language

English

Working hours

40 hours per week