Full-Time

Senior Principal Product Manager

Enterprise Data & Analytics Platform

Posted on 5/9/2026

Equinix

Equinix

10,001+ employees

Global data center, colocation, interconnection provider

Compensation Overview

CA$166k - CA$248k/yr

+ Bonus + Equity

Toronto, ON, Canada

In Person

Category
Product (2)
,
Required Skills
LLM
Apache Kafka
RAG
Microservices
Observability
REST APIs
Data Governance
DevOps
Google Cloud Platform
Requirements
  • 12+ years of experience in Product Management, Platform Engineering, or Data Platform leadership roles
  • Proven experience managing enterprise-scale internal platforms
  • Experience working with large-scale data platforms, distributed systems, or developer platforms
  • Strong understanding of modern platform ecosystems including: Cloud platforms (Google Cloud preferred)
  • Data platforms and analytics architectures
  • API and microservices ecosystems
  • Streaming platforms (Kafka, Pub/Sub)
  • Observability and reliability engineering
  • CI/CD and platform automation
  • Modern data warehouse architectures
  • GenAI & AI Platform Awareness: Experience defining or working with AI-powered platform capabilities, including: Generative AI and Large Language Model ecosystems
  • AI-powered developer productivity tools
  • Retrieval-Augmented Generation architectures
  • AI-driven observability and operational automation
  • Intelligent platform assistants and developer copilots
  • Ability to identify opportunities where AI can significantly improve platform usability, reliability, and operational efficiency
  • Product Leadership: Strong experience managing engineering backlogs and platform roadmaps
  • Ability to translate complex technical capabilities into clear product value and adoption strategies
  • Experience driving cross-team alignment across engineering, platform, and governance teams
  • Leadership Skills: Strong communication and storytelling skills
  • Ability to influence engineering teams and senior leadership
  • Comfortable operating at both strategic and execution levels
Responsibilities
  • Platform Product Strategy: Define and drive the product vision and long-term roadmap for the Enterprise Data & Analytics Platform
  • Lead the adoption of a Platform-as-a-Product operating model, ensuring platform capabilities are delivered as scalable internal products with clear value for engineering teams
  • Shape the platform evolution across key domains including: Data ingestion and transformation frameworks
  • API and integration platforms
  • Streaming and real-time data platforms
  • Platform governance and data governance enablement
  • Platform observability and reliability
  • Developer self-service and platform automation
  • AI and GenAI platform capabilities
  • Continuously evaluate emerging technologies and introduce innovations that enhance platform scalability, intelligence, and developer productivity
  • Platform Backlog Ownership: Own and manage the platform engineering backlog across multiple platform domains, including: Platform Engineering
  • Platform Governance
  • Platform Control Tower / Observability
  • Site Reliability Engineering (SRE)
  • Production Support enablement
  • GenAI platform capabilities
  • Translate strategic initiatives into clear epics, features, and prioritized engineering deliverables
  • Partner with engineering leadership to balance innovation, reliability, and operational excellence while ensuring continuous platform improvement
  • GenAI-Enabled Platform Innovation: Drive the adoption of Generative AI capabilities within the enterprise platform, enabling intelligent automation and developer productivity
  • Define product capabilities for AI-powered platform services, including: AI-assisted platform operations for troubleshooting incidents and diagnosing pipeline failures
  • GenAI-powered developer assistants for building data pipelines, APIs, and platform integrations
  • Automated code generation and optimization for data transformations and platform configurations
  • AI-powered data discovery and metadata intelligence
  • GenAI-driven documentation and knowledge assistants for platform users
  • Automated platform diagnostics and root cause analysis
  • AI-driven operational insights for SRE and production support teams
  • Work with engineering teams to embed LLM-powered automation and intelligent workflows into the platform ecosystem
  • Platform Control Tower & Operational Intelligence: Lead the development of a Platform Control Tower providing enterprise visibility into platform health and operations
  • The Control Tower will enable: Real-time monitoring of platform services
  • Data pipeline health and reliability metrics
  • API and streaming service observability
  • Platform adoption and usage insights
  • Governance compliance visibility
  • AI-powered anomaly detection and operational insights
  • Ensure the platform operates with intelligent observability and proactive operational insights
  • Platform Governance Enablement: Collaborate with Enterprise Data Governance teams to embed governance capabilities directly into the platform
  • Drive product capabilities that support: Metadata and data catalog integration
  • Data lineage and observability
  • Data quality monitoring
  • Data classification and access controls
  • Policy-driven governance automation
  • Ensure governance capabilities are delivered in a scalable, automated, and developer-friendly way
  • Reliability & SRE Alignment: Partner closely with Site Reliability Engineering teams to ensure platform reliability and operational excellence
  • Align platform roadmap priorities with: Observability improvements
  • Incident reduction strategies
  • Platform resilience and disaster recovery
  • Capacity planning and performance optimization
  • Support the adoption of AI-driven reliability engineering practices to proactively identify operational risks
  • Developer Experience & Self-Service: Continuously improve the developer experience across the platform
  • Drive development of: Self-service platform capabilities
  • Standardized platform templates and frameworks
  • Automated developer workflows
  • Simplified onboarding and platform documentation
  • AI-powered developer assistants and platform copilots
  • The goal is to accelerate developer productivity while ensuring platform consistency and governance
Desired Qualifications
  • Experience implementing Platform-as-a-Product operating models
  • Exposure to Data Governance and metadata platforms
  • Experience with AI-driven platform automation
  • Experience working with enterprise-scale analytics platforms

Equinix provides data center space, colocation, interconnection, and cloud services for businesses worldwide. Customers rent space in Equinix data centers and use the company’s interconnected ecosystem to link networks, cloud platforms, and applications with low latency. Its global footprint and an ecosystem of thousands of customers create direct connections that simplify digital infrastructure, setting it apart from providers that only offer space. The goal is to help businesses run reliable digital operations and pursue multi-cloud strategies through secure data-center space and connected networks.

Company Size

10,001+

Company Stage

IPO

Headquarters

Redwood City, California

Founded

1998

Simplify Jobs

Simplify's Take

What believers are saying

  • 60% of Q1 2026 largest deals driven by AI workloads from top model providers.
  • Q1 2026 revenue reaches $2.44B, lifting 2026 guidance to $10.144-$10.244B.
  • Pending atNorth acquisition immediately accretive to AFFO per share.

What critics are saying

  • Digital Realty captures AI demand in Northern Virginia at Equinix's 77% utilization.
  • AIMS $850M Cyberjaya facility undercuts Equinix KL2 with cheaper racks.
  • Q1 revenue misses $2.51B consensus by $70M on non-recurring revenue drop.

What makes Equinix unique

  • Equinix launches Distributed AI Hub connecting GPU clouds and data platforms.
  • Equinix Fabric AI ecosystem integrates SCX.ai sovereign inferencing nodes.
  • Equinix enables data sovereignty with vendor-neutral multicloud platforms.

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Your Connections

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Benefits

Health care and counseling plans

Paid vacations and holidays

Programs and resources for family needs

Programs to build financial security, make donations, and seek additional education

Some countries offer flexible employee stock purchase plan

Company News

City Journal
Apr 30th, 2026
Loudoun County, Virginia: The Heart of the Data-Center Boom

Garry Tan (YC CEO) shared: $425B spent building US data centers in 2025 = ~1.5% of GDP. Loudoun County, Virginia is the epicenter of the data center boom, home to major facilities from Equinix, Digital Realty, AWS, and others.

CAJ News Africa
Apr 29th, 2026
Equinix Investment Signals Next Phase of Africa’s Digital Infrastructure Growth - CAJ News Africa

by AKANI CHAUKE JOHANNESBURG, (CAJ News) - AXIZ a leading distributor of digital technologies and services in Africa, has welcomed the recent investment announcement from Equinix Inc., noting it as a strong signal of continued momentum in the continent's digital infrastructure landscape. The investment reinforces South Africa's role as a key data centre hub and

Tech in Asia
Apr 9th, 2026
Equinix commits $95M to Mumbai data center expansion as capacity set to triple

Equinix is investing an additional $95 million to expand its data centre capacity in Mumbai, with plans to acquire more land and fund growth through foreign capital and debt. The move targets India's largest data centre hub, which accounts for 54% of national capacity. Mumbai's data centre capacity is projected to grow from 1,337.09 megawatts in 2025 to 4,606.91 megawatts by 2031. Market vacancy has fallen to 4.3%, creating pricing power for operators. Maharashtra's 2024 policy supports expansion with incentives including 100% stamp-duty waivers and permanent electricity-duty exemptions. The expansion reflects broader industry momentum, with AdaniConneX targeting 1,000 megawatts and Yotta Data Services deploying 16,000 Nvidia H100 GPUs. Data centre electricity demand is forecast to reach 2.6–3% of national generation by 2030.

Yahoo Finance
Apr 6th, 2026
Equinix appoints Olivier Leonetti as CFO amid AI data centre expansion push

Equinix has appointed Olivier Leonetti as chief financial officer, effective 16 March, replacing Keith Taylor after his 27-year tenure. The leadership change comes as Equinix positions itself at the centre of AI data centre demand. The company recently launched its Distributed AI Hub across more than 280 data centres, expanding its platform for high-performance workloads. However, Equinix's AI growth strategy relies heavily on significant capital expenditure and higher leverage through its "Build Bolder" expansion plan. Equinix's narrative projects $12.2 billion revenue and $2 billion earnings by 2029, with fair value estimates ranging from $1,036 to $1,421 per share. The CFO transition appears evolutionary rather than disruptive, maintaining near-term focus on funding infrastructure buildout whilst managing interest rate and leverage risks.

Bloomberg L.P.
Mar 31st, 2026
Equinix to invest $438M in South African data centres as AI demand grows

Equinix plans to build additional data centres in South Africa as part of a 7.5 billion rand ($438 million) investment to capitalise on Africa's artificial intelligence boom. The Nasdaq-listed firm has purchased land in Johannesburg and Cape Town totalling 890 million rand, according to Managing Director for South Africa Sandile Dube. The company opened its first South African data centre in Johannesburg in 2024. The expansion reflects growing demand for data infrastructure driven by AI development across the continent.