Manager, Engineering (AI Dev Platform) - Weave, W&B
$182,000–$242,000 year
On-siteSan Francisco, California, United States
Job Summary
Lead a team of full-stack and infrastructure engineers responsible for Weave's availability, readiness, and compliance for enterprise customers. Own technical direction, delivery, and operational health while partnering with sales to enable new deals and support existing ones. Optimize high-scale agent tracing services, offline evaluation APIs, and online monitoring capabilities for very large ingest volumes across major cloud platforms. Establish and enforce SLAs/SLOs for service availability and data readiness, and lead the optimization of underlying infrastructure and data storage components for best performance and cost. Monitor and optimize single-tenant deployments, participate in on-call rotations and incident responses, and drive roadmap, execution, hiring, and team culture. Report to leadership on system health and participate in overall roadmap design.
Required Qualifications
- 6+ years of professional software engineering experience
- 1–3 years as an engineering manager with people-leading responsibilities
- Experience leading team shipping enterprise software at scale, including single-tenant and on-premise deployments, large data stores, compliance, security, and performance constraints
- Strong grasp of service availability and performance metrics, SLAs/SLOs, incident response protocols
- Understanding of AI observability primitives, workflows, and requirements
- Ability to collaborate with sales organizations and join customer calls
- Experience owning end-to-end delivery for production services, including planning, execution, quality, and operational health
- Strong sense of ownership and ability to drive impact and results
- Strong written and verbal communication skills; able to align engineering, product, finance, and compliance stakeholders around priorities and tradeoffs
- Bachelor's degree in Computer Science or a related field
- Located in the San Francisco Bay Area
- Available to come into the SF office at least a few days a week
- Must be a U.S. person (U.S. citizen, national, lawful permanent resident, refugee, or asylee) or eligible to access export controlled information without a required export authorization
Desired Qualifications
- Experience with single-tenant architecture tradeoffs in a SaaS environment
- Familiarity with modern data stack technologies such as ClickHouse, Kafka, or Kubernetes for high-throughput data processing
- Prior experience in the MLOps or AI observability space, specifically supporting LLM application development workflows
- Experience working in a fast-paced startup environment during a period of rapid growth
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