Senior Product Manager - Logs for AI Apps and Research Ajouter aux favoris
- Be the subject matter expert on log collection, processing and storage at petabyte scale
- Own the roadmap for log management features designed for AI research and training workflows.
- Build capabilities that help users analyze trends, compare experiments (A/B diffs), forecast or detect shifts, and use sampling/approximate analysis to get answers fast at large scale.
- Partner closely with engineering and design to deliver end-to-end experiences across ingestion, querying, exploration, and analysis.
- Work directly with customers to understand workflows, validate product bets, and turn insights into repeatable solutions.
- A proven track record as a technical product manager independently defining strategy and owning execution of a SaaS product or data streaming service
- A Bachelor's Degree in Computer Science or Engineering or equivalent experience
- 5+ years of product management experience in AI, security, analytics, or observability.
- Experience in building AI tools, or working in log management, or analytics platforms (e.g., Tableau, Looker, Splunk, ClickHouse).
- Highly technical: comfortable with distributed systems concepts, data pipelines, and query/analytics workflows.
- Familiarity with AI/ML training and research workflows (distributed training, experimentation, evaluation pipelines) and how teams use log/event data to debug and iterate.
- Familiarity with ecosystems/tools like PyTorch, Spark, TensorFlow-style telemetry, experiment tracking, or large-scale data infra
- Strong technical acumen, with experience see discussing architectures and trade-offs with engineers.
- Strong problem-solving, communication, and customer-centric
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- Continuous professional development, product training, and career pathing
- Intra-departmental mentor and buddy program for in-house networking
- An inclusive company culture, ability to join our Community Guilds
- Access to Inclusion Talks, our Internal panel discussions
- Free, global Spring Health benefits for employees and dependents age 6+
- Competitive global benefits
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