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Partner Solutions Engineer
2 weeks ago
- Present Confluent and explain value proposition to different audiences (Partner executives, Technical leaders, Architects, etc.)
- Define, build, and deliver repeatable solutions that highlight the partner and Confluent's joint value propositions
- Build and manage relationships with key technical leaders
- Collaborate internally to support Partner technical initiatives such as partner-driven scalable GTM assets, partner team enablement workshops, assessment, advice, and coaching
- Advocate on behalf of Partners' technical concerns (use cases, feature requests, support issues, e.g.) with Confluent internal teams and personnel, helping to bring those concerns to resolution
- Provide architecture guidance and recommendations across solutions, offerings, and customer opportunities
- Author whitepapers, technical articles, and blog posts
- Help scale the team by building reusable content and programs
- Ensure the successful onboarding, training, enablement, and certification of partner technical resources
- 8 - 13 years of work experience with demonstrated hands-on experience architecting complex enterprise solutions for customers and/or partners
- At least 2 years of experience working with System Integrators in a similar role
- At least 2 years of work experience with messaging, streaming, distributed systems and ETL products commonly used in the enterprise
- At least 3 years of experience as a Sales Engineer or Technical Account Manager
- Experience operating within and across cross-functional teams including product management, engineering, sales, marketing, etc
- Ability to quickly learn, understand, and work with new and emerging technologies, methodologies, and solutions
- Hands on experience of Apache Kafka, Apache Flink and/or other streaming technologies
- Knowledge of Microservices, NoSQL databases, GenAI, streaming architecture patterns etc.
- Proficiency in English
- Experience as a Technical Sales/Systems Engineer in a cloud environment or equivalent experience in a customer and/or partner-facing role.
- Experience designing and building big data, stream processing, and/or other distributed systems for Fortune 1000 companies
- Experience working with global teams
Confluent
