This position is for a Senior Solutions Engineer to own technical relationships with sales prospects, evangelizing modern AI/ML operations and data infrastructure to audiences ranging from C-level executives to individual contributors and engineers.
Requirements
- 5+ years in technical pre-sales, solutions engineering, or technical consulting roles in data/AI/cloud infrastructure
- Strong technical foundation: Hands-on experience with cloud platforms (AWS, Azure, GCP), containerization (Docker, Kubernetes), and infrastructure-as-code
- Data & AI literacy: Understanding of ML workflows, data pipelines, and the tools data scientists and engineers use (Python, Jupyter, MLflow, Airflow, etc.)
- Solutions architect mindset: Ability to understand complex technical requirements and translate them into elegant platform solutions
- Exceptional communication skills: Can articulate technical concepts to both technical and business stakeholders with clarity and confidence
- Self-starter mentality: Comfortable in a fast-paced startup environment where you'll need to figure things out and move quickly
Benefits
- Competitive compensation
- Meaningful equity
- Top-tier health benefits
- 16+ weeks of pregnancy leave top-up
- Flexible vacation policy