Clera
Founding Forward Deployed Engineer
About this role
A Y Combinator-backed AI logistics startup seeks its first US-based technical hire to lead customer deployments and integrations for AI agents serving trucking and waste management companies. You'll own the full technical success of US customers, combining hands-on engineering with customer-facing support in an early-stage, rapidly scaling environment.
What you'll do
- Lead end-to-end technical deployments and customer onboarding from kickoff through go-live
- Serve as primary technical contact for diagnosing and resolving integration and operational issues
- Integrate the AI platform with customer job management, GPS, and telematics systems via APIs
- Translate customer feedback and real-world deployment insights into product recommendations
- Build internal tooling and scripts to accelerate and standardize deployment processes
- Act as technical advisor to logistics operations teams in field environments
What they're looking for
- Forward deployed engineering or solutions engineering experience
- Software engineering fundamentals and rapid coding ability
- SaaS platform integration via APIs, webhooks, and data pipelines
- Technical communication to non-technical audiences
- Self-directed problem-solving in early-stage contexts
- GPS/telematics and logistics systems knowledge (nice to have)
- AI/ML product deployment experience (nice to have)
- Route optimization and scheduling systems familiarity (nice to have)
Benefits
- Founding-team equity opportunity
- Competitive salary ($110k–$135k annually)
- Ground-floor impact at a rapidly scaling startup
- Close partnership with founders shaping the forward-deployed function
- On-site presence in Austin with customer travel
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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 SaaS integration you've led—what was the most challenging technical or customer-facing aspect?
- Describe a time you identified a product gap from a customer deployment and communicated it back to the engineering team. How did you structure that feedback?