Commercial Solution Engineer (SaaS/Data)

TL;DR

Commercial Solution Engineer (SaaS/Data): Presenting hirify.global's technology and vision to customers, demonstrating its value through the sales cycle with an accent on understanding customer needs, strategizing support, and building technical champions to drive deals. Focus on solving complex data challenges and helping organizations get the most out of their data assets.

Location: Onsite in Paris, France. Fluent/native French speaker required.

Company

hirify.global is a fast-growing data cloud company empowering enterprises to achieve their full potential through impact, innovation, and collaboration.

What you will do

• Present hirify.global’s technology and vision to executives and technical contributors at customers.
• Work hands-on with customers to demonstrate and communicate the value of hirify.global technology throughout the sales cycle.
• Create and develop technical champions in your accounts to drive deals and achieve a technical win.
• Stay at the cutting edge of hirify.global technology and confidently present roadmap features and functionality.
• Collaborate with Product Management, Engineering, and Marketing to continuously improve hirify.global’s products and marketing.
• Work with ecosystem and implementation partners to build joint architectures or collaborate on account strategies.

Requirements

• Sales engineering/solution architect experience in a SaaS environment or relevant industry experience (analytics, data science, data engineering).
• Outstanding presentation skills to both technical and executive audiences.
• Understanding of and experience with data architecture, data analytics, and cloud technology.
• Hands-on experience with SQL.
• Ability to solve customer-specific business problems and apply hirify.global’s solutions.
• Customer-facing skills to effectively communicate our vision both written and verbal.
• Fluent/native French speaker.

Nice to have

• Hands-on experience with Python.
• Experience working with modern data technology (e.g., dbt, Spark, containers, DevOps tooling, orchestration tools, Git).
• Experience with data science and machine learning technology.

Culture & Benefits

• Culture that’s all in on impact, innovation, and collaboration.
• Emphasis on continuous learning, giving, and receiving feedback.
• Passion for making customers and team members successful.
• Opportunity to build big, move fast, and take technology and careers to the next level.