JOBSEARCHER

Forward Deployed Engineer

Forward Deployed Engineers Opportunity Forward Deployed Engineers at Cloneable sit at the intersection of customer success and product engineering. You'll embed with our enterprise customers, learn their workflows inside and out, and build the AI-powered systems that replace what used to be done manually. This is a high-ownership role where you'll go from discovery to production with real customers in industries that haven't seen this kind of automation before. What You'll Be Doing Own Deployments End-to-End Lead technical discovery with customers: understand their software environments, data sources, and workflow bottlenecks focusing on delivering high value, high impact capabilities Design and build AI-powered automation solutions tailored to each customer's operational context Own delivery from first prototype through stable production rollout Guide customer teams through adoption and be the trusted technical voice on the ground Build Production-Grade Systems Integrate Cloneable's agent platform with customer-specific tools, APIs, and enterprise software including industrial and domain-specific systems Build backend services, data pipelines, and automation workflows that hold up in high-stakes production environments Troubleshoot complex issues across the full stack: infrastructure, models, integrations, and customer-side constraints Close the Loop Between Field and Product Translate customer friction into clear product and model feedback for the internal engineering team Codify what works and turn successful deployments into reusable patterns, playbooks, and tooling Partner closely with our CTO and product team to sequence delivery and keep things moving What We're Looking For Required 5+ years of engineering or technical deployment experience, including direct customer-facing work Strong coding skills in Python or TypeScript; ability to contribute production-quality code Hands-on experience building or deploying systems that use LLMs, AI agents, or generative AI Experience building with AI and strong at context switching while working multiple projects in parallel Comfort navigating ambiguity. You can take a messy customer environment and find a path to working software Clear communicator who can work with both technical engineers and non-technical operators Experience deploying and managing production services (cloud infrastructure, APIs) Nice to Have Familiarity with industrial, utility, or enterprise field operations software Experience with workflow orchestration tools Background in enterprise software integration or legacy system connectivity Prior experience at a seed or Series A company You'll Thrive Here If You: Get energized by industries where the operational problems are real and the tooling hasn't caught up Prefer shipping and iterating over planning in the abstract Want to own outcomes, not just tasks See working directly with customers as a strength, not a detour from "real" engineering