Senior Solutions Engineer
Serve as the technical lead for enterprise data and AI customers, guiding discovery, architecture, demonstrations, and proof-of-value engagements for an autonomous cloud infrastructure platform.
תחומי אחריות
- Lead technical discovery, solution architecture, and evaluations for enterprise customers
- Run proof-of-value engagements using customer telemetry and production workloads
- Measure and communicate impact on cloud costs, service-level agreements, workload efficiency, and reliability
- Advise teams operating mission-critical systems on Databricks, cloud infrastructure, and workload orchestration
- Translate field insights into product roadmap, integrations, and enterprise capabilities
דרישות
- At least 5 years of experience in solutions engineering, sales engineering, or technical consulting
- Experience owning technical evaluations that influenced or decided business opportunities
- Hands-on expertise with cloud infrastructure and data platforms, including AWS and Databricks, Spark, Kubernetes, or related technologies
- Ability to communicate complex architectures to senior engineers and executives and connect them to business outcomes
- Strong experience leading technical workshops, demonstrations, whiteboarding sessions, and proof-of-concept engagements
- Structured, technically rigorous, customer-focused approach to solving complex problems
יתרון
- Experience with Databricks, Apache Spark, Snowflake, Airflow, dbt, Kubernetes, or cloud-native data platforms
- Background in cloud cost optimization, FinOps, platform engineering, SRE, or data engineering
- Experience deploying complex B2B SaaS for enterprise data, engineering, or AI teams
- Experience in an elite technical or intelligence unit
הטבות
- Top-of-market compensation
- Meaningful equity
- High ownership and direct exposure to company founders
- Opportunity to influence product development and enterprise capabilities
- Work with a small, highly technical team