ABOUT BEHAVOX:

Behavox is shaping the future for how businesses harness their most important raw material - data. Our mission is bold: Organize enterprise data into actionable information that protects and promotes the business growth of multinational companies around the world.
From managing enterprise risk and compliance to maximizing revenue and value, our data operating platform presents a widespread opportunity to build multilingual, AI/ML-based solutions that activate data for every function within a global enterprise.
Our approach is unique, and it’s validated by our customers who tell us to keep forging ahead because no one else is aggregating, analyzing, and acting on data to uncover opportunities or solve problems quite the way we are.
We are looking for fearless innovators who have an insatiable appetite for building what no one has built before.

ABOUT THE ROLE:

Reporting to the VP of Revenue Operations, this role is instrumental in scaling Behavox’s revenue capabilities by building and maintaining production-grade systems that empower the sales organization.
As a Full Stack Engineer, you’ll design and develop proprietary tools, integrate components across the revenue technology stack, and deliver reliable solutions that enhance team productivity and operational efficiency.
With absolute executive sponsorship and an extensive project roadmap, this is a unique opportunity to create impactful systems from scratch, directly influencing Behavox’s ability to achieve its strategic growth goals. You’ll work closely with cross-functional teams to build resilient, high-performing solutions that anticipate edge cases and self-heal without human intervention.

WHAT YOU’LL DO:

• Build and maintain proprietary tools for field team members, enhancing their efficiency and effectiveness
• Design and implement integrations across the revenue technology stack, ensuring seamless and reliable operation
• Develop and release new features for existing proprietary software, meeting the evolving needs of the business
• Refresh and optimize the ETL pipeline for the RevenueBase platform, transitioning from Snowflake to BigQuery
• Create robust systems that anticipate edge cases, recover autonomously, and deliver consistent performance at scale