
Presales Consultant / Sales Engineer
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in Germany.
• Assist enterprise clients in retail, logistics, and manufacturing by guiding them through needs assessments and in-depth technical discussions to Proofs of Value.
• Provide support to the sales team during the presales phase and evaluate opportunities.
• Convert customer challenges into specific solution strategies.
• Facilitate discovery workshops, demonstrations, and thorough technical explorations.
• Connect business and technology perspectives.
• Take ownership of Proofs of Value by defining goals, executing tasks, and presenting outcomes.
• Transform Proofs of Value into customer projects.
• Counsel decision-makers on supply chain processes while showcasing the benefits of Decision Intelligence.
• Establish and maintain relationships with key stakeholders, serving as a point of contact beyond the initial deal.
• Collaborate closely with Product, Data Science, and Sales teams.
• Incorporate customer feedback into the continuous development of the platform.
• Stay informed about the market, competitive landscape, and emerging technologies to enhance positioning.
• Advance presales and PoV methodologies.
• Bachelor's degree in business, Supply Chain Management, industrial engineering, computer science, or a related field.
• Minimum of 5 years of experience in a customer-facing consulting position, such as Consultant, Solution or Presales Consultant, Business Analyst, Customer Success Manager, or Project Manager within an enterprise and B2B setting.
• Proven ability to simplify complex topics for decision-makers and facilitate discussions at the C-level.
• Knowledge of how modern LLM technology is applied to implement technical concepts.
• Familiarity with Claude Code, Codex, or similar tools, experience in building applications, and understanding the interaction of data, models, and interfaces.
• Strong affinity for data and databases, including Snowflake.
• Proficient in both German and English, written and spoken.
• Basic understanding of statistics and machine learning is advantageous.
• Experience in a supply chain context is preferred.
• Background in a B2B software or product organization is a plus.
• Currently residing in Germany, preferably in the Rhine-Neckar region, or willing to relocate.
• Customized hardware setup to meet your needs.
• Personal learning budget of €2,000 annually.
• Flexible working hours.
• Monthly benefits budget of €60 for Urban Sports Club, mobility allowance, fuel, public transport, the Deutschlandticket, or vouchers.
• Complimentary snacks and beverages in the office.
• Quarterly Hacky Days.
• Regular professional and social team events, both online and in-person.
• Opportunity to bring your dog to the office.
• Coffee and barista service available in the office.
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