Field Engineer, English/Spanish

Strimi

Field Engineer assisting Striim's enterprise customers across the US and Latin America. Responsible for guiding customer implementation and ensuring operational excellence with the Striim Platform.

Posted 6/25/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $130,000 - $150,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureBigQueryCloudGoogle Cloud PlatformJavaKafkaLinuxMS SQL ServerMySQLOraclePythonShell ScriptingSQLUnix

About the role

Key responsibilities & impact

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

What you’ll need

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.

Benefits

Comp & perks

Competitive salary and pre-IPO stock options
Comprehensive health care plans (medical, dental and vision), including medical and dependent FSA
Paid Time Off (Vacation, Sick & Public Holidays)
The chance to contribute to and shape an upbeat, fully engaged culture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

database management systemsSQL programmingJavaPythonShell scriptingcloud infrastructuredata servicesAI-assisted productivity toolsUnix/LinuxWindows operating systems

Soft Skills

customer-facing communicationpresentation skillstraining facilitationtechnical guidancecollaborationproblem-solvingcustomer advocacydocumentation developmentoperational excellencetechnical innovation

Certifications

Bachelor's degree in Computer ScienceBachelor's degree in Computer EngineeringBachelor's degree in Information Systems