Deployment Strategist

About The Role A hyper-growth enterprise AI platform is deploying AI agents for large European enterprises - and they need a Deployment Strategist to own the Warsaw market. You will be embedded with clients, translating their business problems into production-ready AI solutions end-to-end: scoping, technical design, integration, delivery. This is a forward-deployed model. You are not a coordinator. You are the technical face of the company to major Polish enterprises. What you will do: - Own complex AI deployments from discovery through go-live for enterprise clients across Poland - Translate ambiguous business problems ("improve operational efficiency") into scoped technical projects with clear requirements, timelines, and success metrics - Design and manage API integrations and data flows between client systems and the AI platform - Drive alignment with senior stakeholders (C-level, department heads) across client organizations - Navigate technical roadblocks, scope changes, and misaligned expectations directly with the client - Work alongside engineering and product teams to feed real-world client feedback into the platform roadmap - Travel to client sites across Poland 3-4 days per week What they require: - 3+ years in a client-facing technical role - Solutions Engineering, Forward Deployed Engineering, Technical Project Management, or equivalent - delivering complex software or AI deployments to external enterprise clients - Hands-on experience with APIs, data flows, and system integrations - you can read API docs, design integration specs, and troubleshoot data pipelines - Track record of managing senior enterprise stakeholders and driving projects through ambiguity - Polish language fluency (C1 or native) - client communication, documentation, and stakeholder meetings are conducted in Polish - Based in the Warsaw metropolitan area or willing to relocate within a 1-1.5 hour commute radius What They Strongly Prefer - Background at a consulting with subsequent move into technology - Experience as a startup founder or early employee at a high-growth company - Career path that combines time at a large, respected enterprise and a high-growth startup - Previous experience in a forward-deployed or client-embedded technical role What will not work: - No direct, hands-on experience with external enterprise clients in a technical capacity - A profile that is purely project coordination without technical depth or problem-solving - Frequent job-hopping (multiple roles under 18 months) - Unwillingness to work in a high-intensity, fast-paced environment with direct, assertive communication - expect 50-60 hour weeks - Not based in or near Warsaw and unwilling to relocate Interview process - Initial recruiter call - Team interview - Technical interview (1 hour) - Case study - Co-founder interview - A culture-fit interview may be added EU AI Act Disclosure In accordance with the EU AI Act, please note: All applications are first scanned by a built-in Co-Pilot to search for evidence of these 5 core technical requirements: - Enterprise AI/Software Deployment - hands-on delivery of complex technical deployments for external enterprise clients in a customer-facing role - API & Integration Architecture - demonstrable experience with APIs, data flows, system integrations, and technical problem-solving - Business-to-Technical Translation - proven ability to convert ambiguous business problems into scoped technical projects with clear requirements and metrics - Data Pipeline & Integration Engineering - experience designing data pipelines, ETL workflows, and system integration patterns in production - AI Agent & Production ML Deployment - hands-on experience deploying AI agents, ML models, or LLM-based solutions in production environments If clear evidence of these requirements is not visible in your CV or cover letter, you will be asked additional questions to clarify and provide a fuller picture. Only after you submit complete answers to those additional questions will your application as a whole be read by Hubert. The AI does not make any hiring decisions and is not configured to automatically reject applications.