Field Engineer (English/Spanish)

Striim is a unified data integration and streaming platform that connects clouds, data, and applications. They are seeking an experienced Field Engineer who is fluent in both English and Spanish to support enterprise customers throughout the United States and Latin America, focusing on onboarding, solution architecture, and customer engagement.

Responsibilities:

• Onboard new Striim customers, delivering learning, solution strategy, technical enablement, and implementation guidance during the deployment process
• Lead customer technical teams during development phases to implement best practices and innovate enterprise adoption challenges
• Support the seamless transition from pre-sales prototypes to post-sales production-scale experiences
• Collaborate with customer success and account management teams to conduct periodic health checks with customers, ensuring operational excellence with Striim
• Serve as the Striim product expert, coach, and trusted technical advisor during deployment
• Act as the in-house customer champion, coordinating with Striim customer support and stakeholders to drive technical advocacy, product evolution, and technical innovation
• Proactively engage existing Striim customers to realize technology value through expanded adoption of the Striim platform, demonstrating new applications and use cases
• Provide technical guidance, training, workshops, presentations, and implementation support in both English and Spanish as required by customer business needs
• Increase internal knowledge base by developing and/or maintaining documentation related to Striim implementations, best practices, troubleshooting, and customer enablement
• Track customer issues, collaborate with support on customer-training-related matters, and work with customers to develop and track Product Feature Requests (PFRs)
• Report on the status of key accounts, including escalations, to the manager and Technical Account Manager (if applicable)
• Leverage AI-powered productivity, research, troubleshooting, documentation, and coding-assistance tools to improve efficiency, accelerate customer outcomes, and scale technical enablement efforts
• Contribute to the evaluation, adoption, and continuous improvement of AI-assisted workflows and technical best practices across customer-facing engineering functions
• Travel domestically and internationally, up to 25%, to support customer implementations, technical workshops, strategic business reviews, training sessions, and other customer-facing engagements

Requirements:

• A successful candidate must be based 100% remotely within the Continental United States
• Professional fluency in both English and Spanish, including the ability to communicate complex technical concepts, conduct presentations, facilitate training, and support customer engagements in both languages
• 3+ years of experience in customer-facing technical roles, such as Sales Engineer, Pre-Sales Engineer, Solutions Architect, Data Engineer, Customer Success Engineer, or similar
• 3+ years of experience with database management systems such as Oracle, MySQL, Microsoft SQL Server, and SQL programming
• 3+ years of experience programming in languages such as Java, Python, and Shell scripting
• 3+ years of experience or deep foundational knowledge of cloud infrastructure and data services including Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP)
• Demonstrated experience using AI-assisted productivity, development, research, troubleshooting, and code-generation tools (e.g., Claude, OpenAI Codex, GitHub Copilot, Cursor, enterprise AI platforms, or similar technologies) as part of day-to-day technical workflows
• Ability to effectively evaluate, validate, and apply AI-generated outputs while maintaining engineering quality, security, accuracy, and customer trust
• Principled knowledge of working with, configuring, and troubleshooting Unix/Linux and Windows operating systems
• Experience working with messaging systems such as Kafka and JMS
• Excellent written, verbal, presentation, and customer-facing communication skills
• Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or equivalent relevant work experience
• Experience working within enterprise data environments and mission-critical IT systems is desirable
• Knowledge of Snowflake, Google BigQuery, Databricks, or modern cloud data platforms is preferred
• Deep understanding of modern data integration, data streaming, real-time analytics, and cloud-native architectures is preferred