Product Manager, Equinix
CA$99-149k
Employees are eligible for bonus
Digital infrastructure company
Posted today
Digital infrastructure company
1001+ employees
Posted today
CA$99-149k
Employees are eligible for bonus
1001+ employees
Company mission
To provide finance, manufacturing, transport, government, and healthcare organizations a cloud-first world.
Role
Who you are
- 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
- 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
- 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
- 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
- Manages stakeholder expectations within and/or across functions
- Identifies and proactively includes correct stakeholders and communications effectively
- 5+ years experience preferred
- Bachelor's degree preferred
What the job involves
- 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
- 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
- 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
Our take
Equinix is a veteran player in the digital infrastructure market, connecting industry-leading organizations in finance, manufacturing, retail, transportation, government, healthcare, and education.
The company provides a range of services within the categories of digital, support, data center, and interconnection, with capabilities including, for example, simplifying hybrid cloud deployments or securing on-site deployments. It has an extensive range of partners, granting its clients access to a vast range of industry-leading technologies atop its own offerings.
With a wide global presence, Equinix has secured a path to continued success by its ability to keep abreast of developments in the space. The company is comfortably positioned to remain a robust and leading player across multiple growth avenues and can be expected to make more smart developments and partnerships in the future.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
9% employee growth in 12 months
Company
Company HQ
Redwood Shores, Redwood City, CA
Leadership
Adaire Fox-Martin
(CEO & President)Prior to becoming CEO of Equinix in 2024, Adaire spent nearly 3 years at Google in various roles, including Head of Google Ireland and President of Google Cloud Go to Market. She also spent nearly 14 years at SAP and over 18 years at Oracle Corporation.
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