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, Big Query, & 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 Big Query Expertise:
  Hands-on experience navigating the Big Query architecture. Competency using Big Query features like partitioned/clustered tables, materialized views, and Big Query ML for…