Remote Senior Solutions Engineer

Description:

• Confluent is seeking a Senior Enterprise Solutions Engineer to drive the technical evaluation stage of the sales process.
• This role is critical for customer success as real-time data streams become increasingly important in modern enterprises.
• The Senior Solutions Engineer will act as a key technical advisor to the sales team and work closely with product management and engineering teams.
• Responsibilities include advancing new and innovative Data Streaming use-cases from conception to Go-Live, executing and leading Technical Proofs of Concept, and conducting Discovery & Whiteboard Sessions.
• The engineer will provide thought leadership by delivering technical talks and workshops, guide customers with hands-on help, and analyze customer consumption trends to identify optimization opportunities.
• Strong relationships with key customer stakeholders will be forged, serving as a dependable partner throughout the sales cycle and beyond.

Requirements:

• Candidates must become a trusted advisor to key customer personas, including Software Engineers, Architects, and Technical Executives.
• The ability to autonomously lead engagements with customers while collaborating with Account Executives and other internal teams is essential.
• An understanding of MEDDIC/MEDDPICC or similar frameworks used for qualification is required.
• Exceptional presentation and communication skills are necessary, with confidence in presenting to highly skilled audiences, including enterprise architects and C-level executives.
• Experience in technical sales of distributed systems, infrastructure software like databases, message queues, SaaS, or Big Data products is required.
• Some experience in Java or Python and familiarity with developing ETL applications is necessary.
• A Bachelor’s level degree in Computer Science or relevant experience is required.

Benefits:

• Confluent promotes a culture of belonging, ensuring that diverse perspectives are valued and everyone has the opportunity to lead and grow.
• The company is proud to be an equal opportunity workplace, with employment decisions based on job-related criteria without regard to protected classifications.
• Employees are encouraged to challenge what’s possible and contribute to building innovative solutions in the data streaming space.