AI Pre-sales Consultant

Visa Hunt

Poland

Hybrid

PLN 150,000 - 260,000

Full time

14 days+
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Benefits offered by this job

Office as an option
Workation
Great Place to Work certified
Flexible hours
Contract autonomy

Job summary

Lingaro is seeking a Data & AI Presales Leader to drive solutioning for strategic opportunities across Data, Analytics, AI and GenAI. You will translate business problems into scalable technology and lead architecture discussions with customers.

You will support qualification workshops, lead RFP/RFI responses, mentor delivery teams, and collaborate with sales to grow accounts. Fluent English required; cloud platforms experience essential.

Qualifications

  • 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: Azure, Google Cloud Platform or AWS.

Responsibilities

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

Skills

Presales leadership
Data & AI services
RFP/RFI management
Architecture leadership
Cloud platforms
Workshop facilitation
English fluency

Tools

Databricks
Azure
GCP
AWS
DBT
MLflow
Snowflake
Microsoft Fabric

Job description

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
  • Translate business KPIs into measurable Data & AI initiatives.

Manufacturing
Marketing
Consumer & Customer Analytics
Commercial Excellence
Operations
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.

We offer:
  • Stable employment. On the market since 2008, 1800+ talents currently on board in 7 global sites.
  • “Office as an option” model. You can choose to work remotely or in the office.
  • Workation. Enjoy working from inspiring locations in line with our workation policy.
  • Great Place to Work® certified employer.
  • Flexibility regarding working hours and your preferred form of contract.
  • Comprehensive online onboarding program with a “Buddy” from day 1.
  • Cooperation with top-tier engineers and experts.
  • Unlimited access to the Udemy learning platform from day 1.
  • Certificate training programs. Lingarians earn 500+ technology certificates yearly.
  • Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.
  • Grow as we grow as a company. 76% of our managers are internal promotions.
  • A diverse, inclusive, and values-driven community.
  • Autonomy to choose the way you work. We trust your ideas.
  • Create our community together. Refer your friends to receive bonuses.
  • Activities to support your well-being and health.
  • Plenty of opportunities to donate to charities and support the environment.
  • Modern office equipment. Purchased for you or available to borrow, depending on your location.

Originally posted on Himalayas

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