Requirements
- Strong development background with hands-on coding experience in at least one modern language (Go, Java, TypeScript, or Python).
- Deep understanding of distributed systems (reliability, observability, and fault tolerance).
- Proven experience in a pre-sales, customer-facing engineering, or solutions architecture role working with technical buyers.
- Exceptional time management and prioritization skills with the ability to thrive in high-volume environments.
- Enthusiasm for AI/ML technologies and eagerness to learn about emerging use cases in agentic workflows and LLM orchestration.
- Strong technical communication skills and ability to lead conversations with senior engineers while translating complex concepts for diverse audiences.
- Comfortable creating structure where there is none.
Nice to Have
- Experience with workflow engines, event-driven architectures, or orchestration technologies (Temporal, Cadence, or similar).
- Background articulating the value of commercial SaaS offerings that compete with open source alternatives (Redis, Kafka, Databricks, etc.).
- Contributions to developer tooling, open source projects, or technical content.
- Strong cross-functional collaboration skills with the ability to serve as a technical bridge between customers and internal teams.
- Certifications with any of the major cloud providers (AWS, GCP, or Azure) or foundational AI model providers (OpenAI, Anthropic, or Google).
Work Arrangement
Hybrid
Additional Information
- Must reside in San Francisco, CA.
- Occasional travel may be required for company events, team offsites, and other meaningful moments that bring us together.
