AI Pre-sales Consultant

Posted Aug 21

This is a fully remote position, open to applicants in Poland.

📋 Description

• Lead initiatives in Data, Analytics, AI, and GenAI for strategic sales opportunities.

• Assist in opportunity qualification and conduct customer discovery workshops.

• Convert business challenges into scalable technology and delivery solutions.

• Oversee technical responses for RFPs and RFIs.

• Collaborate with sales teams to develop account growth strategies and pursue opportunities.

• Represent Lingaro in customer workshops, executive presentations, architecture assessments, and due diligence sessions.

• Coordinate input from SMEs, architects, engineers, and consultants to form comprehensive customer solutions.

• Design holistic AI architectures for AI/ML, GenAI, and Agentic AI solutions.

• Define technology selections, delivery methods, operating frameworks, and implementation roadmaps.

• Assess business needs, technical limitations, and investment priorities.

• Provide architectural guidance across Azure, GCP, Databricks, and open-source ecosystems.

• Assist customers in identifying and prioritizing high-value AI and Analytics use cases.

• Consult with customers on transformation opportunities in Supply Chain, Manufacturing, Marketing, Consumer & Customer Analytics, Commercial Excellence, and Operations.

• Convert business KPIs into actionable Data & AI initiatives.

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

• Support project teams throughout the discovery, architecture design, and critical delivery stages.

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

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

• Assist in the development of Lingaro’s Data & AI offerings and value propositions.

• Create thought leadership content and document customer success stories.

• Track 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 organizations offering Data & AI services.

• Proven success in supporting complex sales opportunities and securing consulting or technology engagements.

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

• Strong solution architecture capabilities and proficiency in designing large-scale enterprise solutions.

• Hands-on experience with at least one major cloud platform: Microsoft Azure, Google Cloud Platform, or AWS.

• Practical knowledge of Databricks or modern data platform technologies.

• Familiarity with Machine Learning, LLMs and Generative AI, Multi-Agent Systems, Knowledge Management, and MLOps / LLMOps.

• Ability to align business requirements with technical implementation strategies.

• Exceptional workshop facilitation, presentation, and storytelling abilities.

• Fluent in English (C1).

• Nice to have: experience in CPG, Retail, Manufacturing, or Supply Chain sectors.

• Nice to have: experience with Microsoft Fabric, Snowflake, dbt, MLflow, or similar technologies.

• Nice to have: experience in developing AI transformation roadmaps.

• Nice to have: experience 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 in accordance with company policy.

• Flexible working hours and preferred contract form.

• Comprehensive online onboarding with a “Buddy” from day one.

• Unlimited access to the Udemy learning platform from day one.

• Certificate training programs.

• Support for upskilling, capability development programs, Competency Centers, knowledge-sharing sessions, community webinars, and over 110 training opportunities yearly.

• Opportunities for internal promotions.

• A diverse, inclusive, and values-driven community.

• Autonomy in choosing your work approach.

• Referral bonuses.

• Initiatives supporting well-being and health.

• Opportunities to donate to charities and support environmental causes.

• Modern office equipment provided for you or available for borrowing, depending on location.

• Great Place to Work® certified employer.

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