# Senior Product Manager, Observe by Snowflake

**Company:** [Snowflake](https://hotfix.jobs/companies/snowflake)
**Location:** Menlo Park, CA, New York, NY
**Role:** Product Management
**Salary:** $200k – $265k/yr
**Experience:** 6+ years
**Skills:** OpenTelemetry, Iceberg, Kafka, SQL, NoSQL, Distributed Systems, Streaming Ingest, Cloud-Native Architectures, AI/ML, Cortex Ai
**Posted:** 2026-03-18

> Leads cross-functional teams to define and execute product roadmaps for Observe's core areas like logs, metrics, traces, and AI features. Requires 6+ years PM experience with deep observability knowledge and technical fluency in distributed systems.

## Job Description

## Responsibilities
- Define and own the product roadmap for one or more areas; set strategy, prioritize ruthlessly, and deliver against adoption, migration, and cost-efficiency goals
- Lead enterprise customer discovery to translate observability pain points into product requirements and drive product adoption
- Partner with engineering, GTM, and Snowflake platform teams to execute quarterly plans and align on integration opportunities (Cortex AI, Iceberg, Snowflake Intelligence)
- Represent product in high stakes situations to customers, partners, and leadership through crisp PRDs, specs, and strategy presentations
- Drive 0-to-1 & 1-to-N Initiatives: Identify emerging patterns and turn them into scalable, GA-ready product offerings

## Requirements
- 6+ years of PM experience, with 3+ years on infrastructure, developer tools, or observability platforms
- Deep familiarity with observability concepts (logs, metrics, traces, APM, alerts) and cloud-native architectures
- Technical fluency in distributed systems, streaming ingest, and open standards (OpenTelemetry, Iceberg)
- Proven track record shipping in competitive enterprise markets and displacing incumbents
- Strong communicator who can align cross-functional teams and navigate the complexity of an acquisition integration
- Familiarity with AI/ML and agentic workflows; can demonstrate use of AI tools in their day-to-day

## Nice-to-Haves
- Experience with or strong opinions on AI SRE, AIOps, or agentic observability workflows
- Exposure to modern data ingestion, storage and retrieval systems including Kafka, SQL, NoSQL, and data warehousing technologies
- Familiarity with the OpenTelemetry ecosystem and open-source community dynamics

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