Forward Deployed Engineer - Planhat
Technologies
SQL · data modeling · Python · REST · GraphQL · ETL · ELT · workflow automation · data pipelines
About The Job Sauce
White-glove recruiting and career-coaching firm placing talent into seed–Series C high-growth tech startups; postings on its ATS are client-company roles.
Bootstrapped · 10–50 people
Job description
The full responsibilities and requirements are on the employer’s site.
Open application page ↗Source and classification
Internal deployment & tooling · Evidence for this classification:
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
More from the 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 r [... source excerpt omitted ...] and most important problem in AI right now. You’re building the frontier of applied AI. Not watching it from the sidelines. Level and expectations As our FDE, you’ll embed with customers, understand how their business and systems actually work, and engineer the data pipelines, workflows, and automations that make AI useful and valuable. This isn’t traditional consulting. And it’s not back-office engineering. It’s applied problem-solving in the real world, where your decisions directly impact, revenue, retention, and business outcomes. We’re looking for an individual with: 2–4 years of experience in consulting, data engineering, software engineering, or similar technical rol
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