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.

Requirements

Proven Data Analytics Sales Experience: Demonstrated success in selling analytics software solutions, ideally within the data infrastructure, database, open source, messaging, or big data space.
Hunter Mentality: A proactive and results-oriented approach to sales with a proven ability to identify, qualify, and close new business opportunities.
Strong Technical Acumen: A solid understanding of data streaming concepts, Kafka, and the Confluent platform. Ability to effectively communicate technical value to both technical and business audiences.
Executive Presence: Confidence and credibility to engage with senior-level executives within partner organizations.
Excellent Communication and Presentation Skills: Ability to clearly articulate complex technical concepts and deliver compelling sales presentations.
Strong Business Value Skills: Proven ability to justify favorable agreements that align with Confluent's business objectives.
Experience in a High-Growth Environment: Prior experience working in a fast-paced, dynamic startup or high-growth technology company.

Benefits

Offers Equity
Offers Commission

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data analytics salesdata streaming conceptsKafkaConfluent platformsales campaignssales pipeline developmentsales presentationspartner channelsAI-ready dataDSP solutions

Soft Skills

hunter mentalityresults-orientedstrong technical acumenexecutive presenceexcellent communication skillspresentation skillsstrong business value skillsrelationship buildingcollaborationproactive approach