Clera
Solutions Engineer
About this role
Join a Series A AI governance platform as a Solutions Engineer to architect and deploy our observability software for enterprise clients worldwide. You'll translate customer needs into technical implementations, working across our Next.js/Flask stack to drive pilots to production while providing critical product feedback.
What you'll do
- Customize and deploy the AI governance platform for enterprise clients globally
- Translate client requirements into technical demos and tailored configurations
- Demonstrate and configure both frontend (Next.js/TypeScript) and backend (Flask/PostgreSQL) components
- Support deployments on AWS and on-premises environments with cloud-agnostic approaches
- Gather and communicate structured feedback from clients to engineering and product teams
- Map AI/ML use cases to platform capabilities through deep technical understanding
What they're looking for
- Python (advanced proficiency)
- AI/ML landscape and models
- Next.js and TypeScript
- Flask, PostgreSQL, and RQ workers
- AWS and on-premises deployment
- Enterprise client communication and technical presentations
- Computer science fundamentals
- Software engineering or solutions engineering
Benefits
- Competitive salary of $100,000–$200,000 annually
- Visa sponsorship available
- Hybrid work arrangement (on-site or remote)
- Impact at the intersection of customer success and product development
- Work with cutting-edge AI governance and observability technology
- Global enterprise client engagement opportunities
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Clera
Clera builds an agentic operating system that automates complex workflows and processes through AI agents, with a platform designed to simplify distributed infrastructure management for developers. The company is hiring Founding Engineers, Customer Engineers, and Product Engineers to develop both backend systems and user-facing interfaces across their AI automation products.
View all jobs at CleraLikely interview questions
- Walk us through a complex client requirement you've translated into a technical solution—what was your process?
- Describe your hands-on experience with Python and how you've used it to customize or extend software for clients.