Senior Product Manager - Observe by Snowflake, Enterprise

Snowflake Snowflake · Data AI · Zurich-Observe, Switzerland · Product Management

Senior Product Manager for Observe by Snowflake, an AI-powered observability platform. This role focuses on owning the enterprise product roadmap, driving enterprise discovery, defining platform capabilities, shaping integrations (including Cortex AI and Snowflake Intelligence), partnering with GTM teams, and leading 0-to-1 initiatives for large enterprise customers. The ideal candidate has extensive product management experience in enterprise SaaS, observability, and infrastructure, with a strong understanding of enterprise requirements like security and compliance, and demonstrated use of AI tools.

What you'd actually do

  1. Own the enterprise product roadmap: define strategy and priorities across enterprise onboarding, adoption, migration from legacy observability platforms and cost-efficiency, delivering measurable outcomes at each stage of the customer lifecycle
  2. Lead deep enterprise discovery: run ongoing structured research with Fortune 500 and high-growth enterprise accounts to surface unmet needs, validate hypotheses, and translate observability pain points into crisp, actionable requirements
  3. Drive enterprise platform capabilities: own the roadmap for features that unlock and accelerate enterprise adoption, including RBAC, SSO/SAML, audit logging, data retention controls, compliance-ready configurations, cost control, metering and billing.
  4. Shape enterprise integrations: partner with Snowflake platform teams to identify and ship integration opportunities that create differentiated value for enterprise buyers, including Cortex AI, Snowflake Intelligence, and Iceberg-native workflows
  5. Partner with GTM and Sales Engineering: work directly with enterprise AEs, SEs, and CSMs to support late-stage deals, understand competitive blockers, and close product gaps that are influencing win/loss outcomes

Skills

Required

  • 6+ years of product management experience
  • 3+ years on infrastructure, developer tools, observability, or enterprise SaaS platforms
  • Proven track record shipping in competitive enterprise markets, displacing incumbents, winning competitive deals, and driving adoption at large-scale organizations
  • Deep familiarity with observability concepts (logs, metrics, traces, APM, alerts, SLOs) and the enterprise buying journey for infrastructure software
  • Strong understanding of enterprise product requirements: security, compliance, governance, RBAC, SSO, audit logging, and the operational expectations of large IT organizations
  • Technical fluency in distributed systems, streaming ingest, and open standards (OpenTelemetry, Apache Iceberg) enough to engage credibly with engineering and enterprise architects
  • Experience navigating the complexity of an acquisition or platform integration, with the ability to align cross-functional stakeholders across two or more organizational structures
  • Strong communicator who can write crisp PRDs and specs, present to C-suite stakeholders, and influence without authority across engineering, GTM, and executive teams
  • Demonstrated use of AI tools in day-to-day work, you treat AI as a productivity multiplier, not a novelty

Nice to have

  • Experience with AI SRE, AIOps, or agentic observability workflows, and strong opinions on where the market is heading
  • Familiarity with the OpenTelemetry ecosystem and open-source community dynamics, including how enterprise buyers evaluate and adopt open standards
  • Exposure to modern data ingestion, storage, and retrieval systems including Kafka, SQL, NoSQL, and data warehousing technologies
  • Background working with or within a data platform (Snowflake, Databricks, BigQuery) on an enterprise product surface
  • Experience managing or influencing a Customer Advisory Board or enterprise design partner program

What the JD emphasized

  • own the product surface that matters most to our largest and most demanding customers
  • driving the features, integrations, and platform capabilities that make Observe not just competitive in enterprise deals, but the clear choice
  • translating complex enterprise requirements into a clear, prioritized product strategy
  • Proven track record shipping in competitive enterprise markets, displacing incumbents, winning competitive deals, and driving adoption at large-scale organizations
  • Deep familiarity with observability concepts (logs, metrics, traces, APM, alerts, SLOs) and the enterprise buying journey for infrastructure software
  • Strong understanding of enterprise product requirements: security, compliance, governance, RBAC, SSO, audit logging, and the operational expectations of large IT organizations
  • Experience navigating the complexity of an acquisition or platform integration, with the ability to align cross-functional stakeholders across two or more organizational structures

Other signals

  • AI-powered observability platform
  • agentic enterprise
  • AI Data Cloud
  • chat-based AI SRE
  • enterprise customers
  • product strategy
  • roadmap
  • customer lifecycle
  • enterprise discovery
  • enterprise platform capabilities
  • enterprise integrations
  • Cortex AI
  • Snowflake Intelligence
  • GTM and Sales Engineering
  • 0-to-1 and 1-to-N enterprise initiatives
  • executive briefings
  • QBRs
  • customer advisory boards
  • product management experience
  • infrastructure, developer tools, observability, or enterprise SaaS platforms
  • competitive enterprise markets
  • displacing incumbents
  • winning competitive deals
  • adoption at large-scale organizations
  • observability concepts
  • enterprise buying journey
  • enterprise product requirements
  • security, compliance, governance, RBAC, SSO, audit logging
  • distributed systems, streaming ingest
  • open standards (OpenTelemetry, Apache Iceberg)
  • acquisition or platform integration
  • align cross-functional stakeholders
  • AI tools in day-to-day work
  • AI SRE, AIOps, or agentic observability workflows
  • OpenTelemetry ecosystem
  • modern data ingestion, storage, and retrieval systems
  • data platform (Snowflake, Databricks, BigQuery)