Product Manager - Log Management
Automate your job search with Sonara.
Submit 10x as many applications with less effort than one manual application.1
Reclaim your time by letting our AI handle the grunt work of job searching.
We continuously scan millions of openings to find your top matches.

Job Description
About Observe
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 role
Log 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, indexing-on-demand, 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.
What you’ll do
Define and maintain a 12-month roadmap for log ingest, search, indexing-on-demand, alerting, dashboard, 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 slices.
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.
What we’re looking for
5+ years of product-management experience in log management, observability, SIEM, or large-scale data platforms.
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.
Automate your job search with Sonara.
Submit 10x as many applications with less effort than one manual application.
