Field Engineer (English/Spanish)

We are seeking an experienced Field Engineer (English/Spanish) who is professionally fluent in both English and Spanish to support enterprise customers throughout the United States and Latin America. This individual will serve as a technical leader who engages with customers throughout the lifecycle of the Striim Platform. A Field Engineer will partner with a Technical Account Manager to create a guided customer journey through all implementation phases, including new customer onboarding, solution architecture strategy, and technical enablement. This is a highly customer-focused role, driving operational excellence, continuous learning, and mission-critical innovation. This is a fully technical and hands-on position.

• →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.

• 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.
• 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.
• Excellent written, verbal, presentation, and customer-facing communication skills.
• Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or equivalent relevant work experience.