Planhat
AI
ForwardDeployedEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Forward Deployed Engineer at Planhat. Skills: data engineering, systems design, AI deployment, workflow automation, commercial operations, applied AI, SQL, Python, API integration. embed with customers. understand how their business and systems actually work”
What You'll Achieve.
deliver AI capabilities inside real commercial organizations; deploy, refine, and scale AI capabilities; make AI useful and valuable; decisions directly impact, revenue, retention, and business outcomes; help companies transition into the AI era with clarity, speed, and real outcomes
Industry & Context.
solve the hardest problem in applied AI; turning real-world complexity into scalable, repeatable AI-powered outcomes; applied problem-solving in the real world
Willingness to travel to customer sites
What They're Looking For.
Must Have
2–4 years of experience in consulting, data engineering, software engineering, or similar technical roles, Comfort working directly with customers and operating in ambiguous environments, Curiosity, ownership, and interest in building something new, Willingness to travel to customer sites, The most important trait is the ability to learn fast, foundation in SQL and data modeling, Experience with Python and/or other scripting languages, Experience integrating with APIs (REST / GraphQL), foundation in agentic systems and experience with AI tools to accelerate delivery
Nice to Have
Familiarity with data pipelines, ETL / ELT, or workflow automation (bonus, not required)
What You'll Do.
understand how their business and systems actually work
engineer the data pipelines
and automations that make AI useful and valuable
applied problem-solving in the real world
Full Job Description
Forward Deployed Engineer to solve the hardest problem in applied AI Commercial teams run on messy data, legacy systems, and slow workflows. Everyone talks about the AI transformation, but very few companies can actually do it. Why? Because the hard part isn’t the model, it’s the data, the orchestration, and the outcomes. Mission Before, the hard part was building enterprise software. Today, the real challenge is delivering outcomes in environments where customer data is scattered, inconsistent, and locked inside tools that don’t talk to each other. Where AI initiatives fail not because the models are weak, but because organizations lack AI data readiness: the ability to turn messy, chaotic customer data into clean, structured fuel that AI systems can actually trust. And where commercial teams are expected to bridge that gap themselves, without the orchestration, collaboration, or technical depth required to make it work at scale. Today, commercial teams don’t have the orchestration, collaboration, or technical depth to bridge this gap on their own. This is the inaccessible problem: turning real-world complexity into scalable, repeatable AI-powered outcomes. Our distinct approach Planhat’s AI Deployment Program (ADP) team works directly with modern, high-velocity companies that want to be at the frontier of applied AI. We deploy, refine, and scale AI capabilities inside real commercial organizations and not in theory, not in slides, but in production. And Forward Deployed Engineers (FDEs) are the heart of it. Joining Planhat as a FDE at this moment is a unique professional accelerant with the possibility to: Work with companies that are early adopters of AI and want to build the future with us. - Gain experience in data engineering, systems design, AI deployment, workflow automation, and commercial operations - all at once. - Become fluent in applied AI: not model research, but the much harder, much rarer skill of deploying AI that actually works. - Develop technica
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