Technical Account Manager (EU)

TL;DR

Technical Account Manager (Mathematical Optimization): Guiding prospective customers in integrating mathematical optimization technology into enterprise-grade software solutions with an accent on architecture, implementation, sizing, and scalability. Focus on leading technical discussions, delivering workshops and trainings, and building solid business cases.

Location: Remote from United Kingdom, Germany, or Spain. Willingness to travel 1–2 times per month and participate in meetings across global time zones.

Company

Provider of mathematical optimization technology helping customers solve complex business problems through smarter decision-making.

What you will do

• Engage in calls and meetings with current and prospective customers.
• Oversee technical discussions in business opportunities and provide recommendations on architecture, sizing, implementation, and scalability.
• Deliver coaching, presentations, workshops, webinars, and hands-on training sessions.
• Assist in building business cases and create materials showcasing product functionality.
• Lead internal initiatives to improve processes, systems, and tools.
• Act as subject matter expert and dedicated team player, emphasizing knowledge sharing.

Requirements

• 3–5 years professional experience, including ~3 years in optimization systems and/or data science.
• Master’s degree or higher in operations research, computer science, engineering, mathematics, or equivalent.
• Strong proficiency in written and spoken English; additional languages a plus.
• Proficiency in at least two Gurobi API languages (C, C++, Java, Python, C#, VB.NET).
• Basic understanding of IT/software engineering, Microsoft 365, Salesforce, and Generative AI.
• Hands-on mindset, proactive problem-solving, emotional intelligence, clear communication, and ability to thrive remotely.

Culture & Benefits

• Fully remote global team with emphasis on ownership, quality, knowledge sharing, balance, and wellbeing.
• 6 months extensive technical training and peer mentoring for new hires.
• Collaborative environment valuing curiosity, innovation, team support, and high standards.
• Exposure to diverse industries, real-world optimization problems, and cross-functional teams.
• Focus on customer success, ethical practices, and professional growth.