
1 - 10 employees
Strimi is a social live streaming platform for Gen-z. The Best Time to be Live- coming soon!
🔥 12 hours ago
🇺🇸 United States – Remote
💵 $130k - $150k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🔧 Field Service Engineer
🗣️🇪🇸 Spanish Required
AWS
Azure
BigQuery
Cloud
Google Cloud Platform
Java
Kafka
Linux
MS SQL Server
MySQL
Oracle
Python
Shell Scripting
SQL
Unix
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1 - 10 employees
Strimi is a social live streaming platform for Gen-z. The Best Time to be Live- coming soon!
• 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.
• 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
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