Sales Solutions Engineer Professional Multiple Cities

At IBM Global Sales, we bring together innovation, collaboration, and expertise to help clients solve their most complex business challenges. Working across industries and geographies, you’ll partner with colleagues, clients, and partners to co‑create solutions that drive digital transformation and lasting impact.

Your role and responsibilities

• Architect complex event‑driven solutions using Apache Kafka and Apache Flink, and lead the technical relationship with strategic enterprise accounts.
• Own the technical discovery process, mapping business pain points to Confluent product value propositions using the CLUSTER framework.
• Serve as a trusted thought partner, driving the “technical win” during critical phases of the customer lifecycle.
• Lead comprehensive technical discovery sessions with high‑value prospects to uncover customer challenges and the underlying why.
• Support opportunity qualification and participate in MEDDPICC framework activities, filling technical criteria, building champions, and shaping business wins.
• Develop, conduct, and manage the technical execution of RFPs/RFIs, building and customizing PoCs that demonstrate Confluent’s low‑latency streaming advantage.
• Act as an escalation point for complex technical objections and systemic issues, leveraging deep knowledge of Kafka/Flink internals.
• Advocate for customers internally, sharing key field learnings and architecture patterns across core internal Slack channels to influence product roadmaps.

Required education

Bachelor’s Degree

Required technical and professional expertise

• Production‑level experience with Apache Kafka internals and the Confluent Ecosystem, including Confluent Cloud, Schema Registry, Connectors, and ksqlDB.
• Strong hands‑on experience with Apache Flink for stateful stream processing, including state management, checkpointing, windowing, and Flink SQL optimization.
• High proficiency in Java, Scala, or Python for building custom event‑driven applications, producers/consumers, or user‑defined functions (UDFs).
• Solid understanding of cloud provider ecosystems (AWS, Azure, or GCP), containerization (Kubernetes/Operators), and hybrid/on‑prem deployment patterns.
• Robust knowledge of security frameworks (mTLS, SASL/SCRAM, OAuth), data privacy regulations, and schema evolution (Avro, Protobuf).
• Exceptional communication skills, delivering customized presentations from low‑level developers to C‑suite executives.
• Strong understanding of competitor products and the ability to set competitive traps.
• Clear understanding of consumption‑based cloud pricing, subscription licensing, and billing models for long‑term customer value.

Preferred technical and professional experience

• 3–5 years in a highly technical, customer‑facing role (e.g., Solutions Engineering, Technical Consulting, or Enterprise Data Architecture).
• Fluency in Spanish and English.

IBM is proud to be an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

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