AI Data Presales Expert

Nasze wymagania: Deep expertise in one or more industries (e.g., manufacturing, retail, financial services, public sector). Strong specialization in cloud and data platforms (Azure, AWS, GCP, Databricks, Snowflake, Fabric) and reference architectures. Knowledge of advanced GenAI patterns (RAG optimization, evaluation, guardrails, agent/tool-calling). Understanding of governance and risk frameworks (Responsible AI, privacy, data residency, sector compliance). Experience building reusable assets (accelerators, templates, demo kits, discovery playbooks). Marketing skills to craft compelling offers and value propositions. O projekcie: The AI & Data Presales Expert leads the full presales lifecycle for data, analytics, and AI opportunities: from early qualification through discovery, solution shaping, proposal creation, and handover to delivery. The role combines strong client-facing skills, technical literacy in modern data/AI platforms, and the ability to craft compelling value cases and solution narratives. It requires close collaboration with Specialized Sales, Solution Architects, and SMEs to build winning proposals and guide customers toward clear, measurable outcomes. Zakres obowiązków: Opportunity Qualification & Deal Shaping Assess opportunity fit, customer readiness, stakeholder landscape, decision process, risks, and next steps together with Specialized Sales. Shape commercial options, scope boundaries, delivery models, and risk/assumption clarity. Customer Discovery & Requirements Definition Prepare and lead discovery workshops and interviews with business and technical stakeholders. Capture functional and non-functional requirements, constraints, success metrics, and KPIs. Translate findings into a structured use-case backlog and MVP definition. Solution Narrative & Architecture Coordination Build and maintain the solution storyline, including phased roadmap, trade-offs, and alternative options. Coordinate Solution Architects and SMEs to define the solution approach, sizing inputs, delivery model, and risk/assumptions register. Presales Deliverables & Proposal Ownership Produce high-quality presales artifacts: executive presentations, proposals/SoWs, RFP responses, and compliance matrices. Ensure clarity, structure, and consistency across all written materials. Drive internal reviews, bid cadence, and readiness checkpoints to ensure alignment between Sales and Architecture. Value Engineering & Business Case Development Create and update ROI/TCO models, benefit hypotheses, and measurement plans. Align value case with customer KPIs and strategic priorities. Qualifications Proven ability to lead the end-to-end presales process: qualification → discovery → solution narrative → proposal → handover. Strong workshop facilitation and requirements shaping skills. Demonstrated value engineering capability (ROI/TCO, benefits narrative, measurement frameworks). Experience owning proposal and RFP processes, including compliance matrices and structured responses. Solid technical literacy in AI and Data (data platforms, analytics, AI/ML concepts) to engage credibly with clients. Experience in commercial shaping with sales teams (scope options, packaging, estimates, risk/assumptions). English & Polish (C1) Oferujemy: Flexible working hours. Hybrid work model, allowing employees to divide their time between home and modern offices in key Polish cities. A cafeteria system that allows employees to personalize benefits by choosing from a variety of options. Generous referral bonuses, offering up to PLN6,000 for referring specialists. Additional revenue sharing opportunities for initiating partnerships with new clients. Ongoing guidance from a dedicated Team Manager for each employee. Tailored technical mentoring from an assigned technical leader, depending on individual expertise and project needs. Dedicated team-building budget for online and on-site team events. Opportunities to participate in charitable initiatives and local sports programs. A supportive and inclusive work culture with an emphasis on diversity and mutual respect.