Senior 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.

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.

We are seeking a visionary, highly technical, hands-on Senior Data Product Manager to drive the productization of our data assets. In this role, you will own the end-to-end strategy, roadmap, and core delivery of data products that embed analytics and intelligence directly into operational workflows. This position is not about building dashboards or front-end user interfaces; it is about building the underlying data products, logic, and models that fuel real-time execution.

You will bridge the gap between complex data infrastructure and business processes. By partnering with data scientists, engineers, and business leaders, you will ensure our advanced analytics, business logic, and AI models deliver immediate, automated, and context-aware value at the exact moment decisions are made.

• 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
• Ident…