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Location
Remote (Poland)
Seniority
Staff · 8+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Lingaro is a Warsaw technology company founded in 2008 and specialised in data and analytics engineering. It builds data platforms, business intelligence and artificial intelligence solutions for global consumer goods, pharmaceutical and retail groups. The company employs thousands of specialists across Europe and Asia.

Growth through diversity, equity, and inclusion. As an ethical business, we do what is right - including ensuring equal opportunities and fostering a safe, respectful workplace for each of us. We believe diversity fuels both personal and business growth. We're committed to building an inclusive community where all our people thrive regardless of their backgrounds, identities, or other personal characteristics.

Tasks

    Data & AI Presales Leadership

    • Lead Data, Analytics, AI and GenAI solutioning activities for strategic sales opportunities.

    • Support opportunity qualification and discovery workshops with customers.

    • Translate business problems into scalable technology and delivery solutions.

    • Lead technical responses for RFPs, RFIs.

    • Collaborate with sales teams in developing account growth strategies and opportunity pursuits.

    • Represent Lingaro during customer workshops, executive presentations, architecture reviews and due diligence sessions.

    • Coordinate contributions from SMEs, architects, engineers and consultants into a coherent customer solution.

    Solution Architecture

    • Design end-to-end AI architectures for AI/ML, GenAI and Agentic AI solutions.

    • Define technology choices, delivery approaches, operating models and implementation roadmaps.

    • Evaluate business requirements, technical constraints and investment priorities.

    • Provide architecture leadership across Azure, GCP, Databricks and open-source ecosystems.

    Industry & Domain Expertise

    • Help customers identify and prioritize high-value AI and Analytics use cases.

    • Advise customers on transformation opportunities in:

    • Supply Chain

    • Manufacturing

    • Marketing

    • Consumer & Customer Analytics

    • Commercial Excellence

    • Operations

    • Translate business KPIs into measurable Data & AI initiatives.

    Delivery & Technical Leadership

    • Participate in strategic customer projects as Solution Architect, AI Advisor or Technical Lead.

    • Support project teams during discovery, architecture design and critical delivery phases.

    • Mentor delivery teams on architecture best practices and emerging technologies.

    • Contribute to reusable frameworks, accelerators, demos and reference architectures.

    Practice Development

    • Support development of Lingaro's Data & AI offerings and value propositions.

    • Build thought leadership content and customer success stories.

    • Monitor market trends, competitor offerings and emerging technologies.

Requirements

    Essential

    • 8+ years of experience in Data, Analytics, AI, software consulting, solution architecture or technical presales.

    • Strong presales experience in Data & AI services organizations.

    • Proven track record supporting complex sales opportunities and winning consulting or technology engagements.

    • Experience leading technical workstreams during RFP, RFI and proposal processes.

    • Strong solution architecture skills and ability to design large-scale enterprise solutions.

    • Hands-on experience with at least one major cloud platform:

    • Microsoft Azure

    • Google Cloud Platform

    • AWS

    • Practical experience with Databricks or modern data platform technologies.

    • Understanding of modern AI landscape including:

    • Machine Learning

    • LLMs and Generative AI

    • Multi-Agent Systems

    • Knowledge Management

    • MLOps / LLMOps

    • Ability to connect business requirements with technical implementation approaches.

    • Excellent workshop facilitation, presentation and storytelling skills.

    • Fluent English (C1).

    Nice to Have

    • Experience in CPG, Retail, Manufacturing or Supply Chain industries.

    • Experience with Microsoft Fabric, Snowflake, dbt, MLflow or similar technologies.

    • Experience building AI transformation roadmaps.

    • Experience working with global enterprise customers.

    • Public speaking, thought leadership or conference presentation experience.

    • Experience leading advisory engagements related to AI adoption, architecture, governance or transformation.

    • Missing one or two of these qualifications? We still want to hear from you! If you bring a positive mindset, we'll provide an environment where you feel valued and empowered to learn and grow.

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