Sales Specialist, National Accounts - Data Streaming Platform; DSP

Location:

East Coast Region, United States

Employment Type:

Full Time

Location Type:

Remote

Department

Sales

Compensation:

$162.4K – $190.8K
• Offers Equity
• Offers Commission

At Confluent, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including work history, education, professional experience, and location. The actual pay may vary depending on your skills, qualifications, experience, and work location. In addition, Confluent offers a wide range of employee benefits. To learn more about our benefits visit

We’re not just building better tech. We’re rewriting how data moves and what the world can do with it. With Confluent, data doesn’t sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them.

It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together.

One Confluent. One Team. One Data Streaming Platform.

Confluent is seeking a highly motivated and results-oriented Sales Executive to drive revenue growth globally for Data Streaming Platform (DSP) workloads. This role focuses on acquiring, building and managing strategic partnerships with first line AE/SEs, Product Management, Partners, and Marketing. The successful candidate will be a proven sales professional with a strong track record of building revenue streams and business value, specifically within the data infrastructure space.

• Develop & Drive DSP Sales Motion:
  Develop and execute a regional go-to-market strategy to identify key personas and a GTM Motion for each that align with Confluent's strategic goals and focus on capturing DSP workloads from Data Lake, Data Warehouse, and ETL/Reverse ETL vendors (Shift Left) and preparing AI-Ready data.

• Define Clear Objectives:
  Target segments, and key performance indicators (KPIs), and create targeted sales campaigns utilizing direct sales, digital marketing, and partner channels to drive awareness and interest in Confluent's DSP solutions.

• Execute and Land New Streaming Projects:
  Engage with key stakeholders within target organizations and internally to understand their pain points and business objectives, presenting tailored solutions that demonstrate the value of using Confluent's platform for processing raw (bronze) data into more meaningful data for operational, AI, and analytics use cases.

• Hunt for New Opportunities:
  Proactively prospect and develop a robust sales pipeline. Identify and qualify potential partners based on their market reach, technical capabilities, and alignment with Confluent's strategic objectives.

• Build Strategic Partnerships:
  Cultivate strong, long-term relationships with key decision-makers within target accounts and ecosystem. Evangelize mutually beneficial partnership agreements that drive revenue growth for both organizations.

• Evangelize Confluent's DSP Capabilities:
  Clearly articulate the value proposition of Confluent's streaming platform to technical and business audiences within partner organizations. Showcase the benefits of using Kafka and Confluent for DSP workloads.

• Develop Compelling Sales Presentations:
  Create and deliver persuasive presentations that highlight the revenue-generating potential of partnering with Confluent. Tailor presentations to the specific needs and priorities of each potential partner.

• Collaborate with Partners:
  Work closely with partner organizations to develop joint go-to-market plans, co-marketing initiatives, and sales enablement programs.

• Stay Ahead of the Curve:
  Maintain a deep understanding of the evolving data streaming landscape, emerging technologies, and competitive dynamics.

What You Will Bring:

• Proven Data Analytics Sales
  
  Experience:
  
  Demonstrated success in selling analytics software solutions, ideally within the data infrastructure, database, open source, messaging, or big data…