Key Account Manager (AI)

Location: In-office in Zürich, Switzerland

Company

hirify.global is building a physical AI model of the world and an AI-powered weather intelligence platform for energy markets, with models operating across four continents.

What you will do

• Own post-sale relationships with leading energy traders and utilities as the main customer contact.
• Lead customer onboarding and technical integrations with hirify.global APIs, data pipelines, and analytics tools.
• Define customer goals, success metrics, and ROI, and connect weather and market insights to trading decisions.
• Manage renewals, upsells, cross-sells, and account expansion with the sales team.
• Monitor account health, usage, and satisfaction while resolving issues proactively.
• Collaborate with product and engineering teams on customer feedback, feature requests, meetings, workshops, and industry events.

Requirements

• 3–5 years of experience in key account management, customer success, or technical solutions roles within a startup environment.
• Strong Python proficiency for data analysis, visualization, APIs, and workflow troubleshooting.
• Familiarity with energy trading markets and the influence of weather data on trading decisions.
• Ability to interpret and explain weather data and forecasts to technical and commercial stakeholders.
• Proven success managing renewals, upsells, or account expansion in a technical or data-driven context.
• Excellent communication and stakeholder management skills across sales, product, and engineering.
• High ownership, adaptability, curiosity, and the drive to move quickly and deliver meaningful results.

Culture & Benefits

• Performance-oriented culture focused on service, adventure, agility, and fast adaptation.
• Data-driven decision-making and a customer-focused, value-centric approach.
• Emphasis on diverse perspectives, clear communication, innovation, and high standards.

Hiring process

• Application answers are prioritized over the CV, so complete the application questions thoughtfully and thoroughly.
• Explain how you would contribute to building an accurate AI weather model for energy markets.