AI & Data Presales Expert I

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.

Key Responsibilities

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 requirementsshaping 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)

Additional Qualifications

• 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.

Additional Information :

This position offers a hybrid work model. Office location: Warszawa Poznań Łódź Katowice Lublin Rzeszów

We hereby inform you that Inetum Polska sp. z o.o. has implemented an internal reporting (whistleblowing) procedure. The content of the procedure and the possibility to submit an internal report are available at:

Work :

No

Employment Type :

Full-time