FDE/Deployment Strategist

Role overview Help customers deploy and adopt AI-powered products by turning unclear business needs into practical technical solutions. This customer-facing role connects product, engineering, and end users, with responsibility for deployments that deliver measurable value and inform improvements to the platform.

Responsibilities - Lead customer deployments from discovery through rollout, aiming for reliable implementation and timely value. - Learn customers’ workflows, data environments, and decision-making needs, then shape an appropriate solution. - Build internal tools, repeatable frameworks, and playbooks that make onboarding and deployment more efficient. - Configure and adapt the product through light development and integrations while keeping customer solutions maintainable. - Prototype and validate proofs of value and pilots in customer environments. - Turn recurring customer needs and deployment feedback into clear engineering requirements and potential platform improvements. - Help customers sustain adoption through documentation, training, and practical guidance.

Requirements - Roughly 2–5 or more years in consulting or a similar role, with exposure to digital, data, or AI transformation work. - Comfortable working with code and data: able to prototype, debug, and reason about AI systems without specializing as a machine learning engineer. - Strong ability to turn ambiguous business problems into structured solutions that technical teams can deliver. - Experience working directly with customers and taking ownership of outcomes. - Able to move work forward in uncertain settings and balance strategic thinking with hands-on execution. - Collaborative, product-minded approach and interest in shaping solutions through user feedback.

Nice to have - Working familiarity with Python, Node.js, SQL, APIs, cloud data platforms, or event streams. - Hands-on use of AI platforms and familiarity with cloud deployment environments and CI/CD.