AI Pre-sales Consultant

Job not on LinkedIn

🔥 0 minutes ago

🇵🇱 Poland – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🔍 Pre-sales Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Lingaro

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2008

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Lingaro is an end-to-end data services and analytics partner for global brands and enterprises, delivering data strategy, platform engineering, AI/ML (including generative AI), and data governance to unlock business value. It combines domain-focused analytics (supply chain, commercial/RGM, digital commerce, sustainability) with data platforms, visualization, MLOps, and secure cloud (Google Cloud) integrations, plus a creative arm (ALCHEMY) for data-driven brand and commerce experience design.

📋 Description

• Lead Data, Analytics, AI, and GenAI solutioning activities for strategic sales opportunities • Support opportunity qualification and customer discovery workshops • Translate business problems into scalable technology and delivery solutions • Lead technical responses for RFPs and RFIs • Collaborate with sales teams on 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 coherent customer solutions • 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 • 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, and Operations • Translate business KPIs into measurable Data & AI initiatives • 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 • 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

• 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, or AWS • Practical experience with Databricks or modern data platform technologies • Understanding of Machine Learning, LLMs and Generative AI, Multi-Agent Systems, Knowledge Management, and 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 • Nice to have: experience with Microsoft Fabric, Snowflake, dbt, MLflow, or similar technologies • Nice to have: experience building AI transformation roadmaps • Nice to have: experience working with global enterprise customers • Nice to have: public speaking, thought leadership, or conference presentation experience • Nice to have: experience leading advisory engagements related to AI adoption, architecture, governance, or transformation

🏖️ Benefits

• Stable employment • “Office as an option” model: remote or office work • Workation according to company policy • Flexible working hours and preferred form of contract • Comprehensive online onboarding with a “Buddy” from day 1 • Unlimited access to the Udemy learning platform from day 1 • Certificate training programs • Upskilling support, capability development programs, Competency Centers, knowledge-sharing sessions, community webinars, and 110+ training opportunities yearly • Internal promotion opportunities • Diverse, inclusive, and values-driven community • Autonomy to choose how you work • Referral bonuses • Activities supporting well-being and health • Opportunities to donate to charities and support the environment • Modern office equipment purchased for you or available to borrow, depending on location • Great Place to Work® certified employer