Observe is re-imagining observability for the cloud era. We deliver open, scalable observability by collecting logs, metrics, traces directly in a cloud data lake, linking every event in a real-time knowledge graph, and using a modern columnar analytics database to query it all. This lake-first architecture eliminates costly upfront indexing, keeps all telemetry in low-cost object storage, and lets engineering teams correlate petabytes of data in real-time. Our customers troubleshoot faster while cutting observability spend by as much as 70 percent.
The roleLog Management is both our fastest-growing workload and the first workload most prospects adopt. As Product Manager for Logs you will own the end-to-end experience: ingest, search, alerting, dashboard, and reporting. Your mission: make Observe the natural upgrade from Splunk, Elastic, Datadog, or home-grown solutions. You will validate problems, align the roadmap, ship furiously, and drive adoption.
This is an in-person/hybrid role in San Mateo, California.
What you’ll doDefine and maintain a 12-month roadmap for log ingest, search, analytics, alerting, dashboarding, and reporting.
Validate problem statements through frequent customer interviews, win/loss reviews, and usage data analysis.
Partner daily with Engineering and Design to scope, ship, and iterate in small, measurable increments.
Set and track key product and business metrics; adjust priorities based on evidence.
Drive launches by supplying positioning, demos, and pricing/packaging input to Sales and Marketing.
Represent the Logs product vision and roadmap internally and externally, aligning stakeholders on direction.
5+ years of product-management experience in log management, observability, SIEM, or large-scale data platforms.
Proven experience partnering closely with enterprise B2B go-to-market teams (sales, customer success, marketing).
Hands-on familiarity with tools such as Splunk, Elasticsearch, or Grafana, and the ability to self-serve basic data analysis.
Technical depth in distributed systems, cloud storage, or data-lake architectures; comfortable discussing trade-offs with senior engineers.
Bias for evidence and iteration; thrive in the fast-paced, constantly changing environment of a growth-stage startup.
Strong written and verbal communication; comfortable with enterprise POCs and technical evaluations.
Top Skills
What We Do
Observe was founded by Sutter Hill Ventures in November 2017. Our founding team came from leading Enterprise SaaS and software companies that work with vast quantities of data such as Snowflake, Splunk and Wavefront.
Our founding thesis was that the enterprises are data rich, but information poor. Data is siloed making it difficult to understand what’s going on inside applications and infrastructure. The result is often a poor customer experience and wasted engineering time tracking down incidents. Oh, and it costs a fortune.
Observe discerns why applications and infrastructure are running the way they are from the data they emit. We enable engineers to spend more time coding features and less time investigating incidents. We reduce outages and issues with customer experience. And we leverage an elastic cloud architecture so that you only pay for what you use.
