Striim, Inc.

Striim, Inc.

Forward Deployed Engineer (FDE)

United States - Remote

Sponsorship not specified$205k-$220kDetected 42 days ago
PythonDistributed SystemsSnowflakeDatabricksAWSGCPAzureCloud PlatformsKubernetesMachine LearningData EngineeringAccount ManagementCommunicationProblem Solving

About the role

  • This is a hands-on, deeply technical role requiring active participation in solution architecture, development, and deployment within customer environments.
  • You will serve as the connective tissue between customer needs and product innovation, translating real-world challenges into scalable technical solutions and product enhancements.
  • In addition to base pay, this role offers the opportunity to earn variable-based rewards.

Responsibilities

  • Partner with Sales and Field Engineering to design and architect complex, enterprise-grade solutions tailored to customer needs.
  • Build prototypes, integrations, and production-grade systems using APIs, data pipelines, and modern frameworks.
  • Optimize solutions for performance, scalability, and reliability in production environments.
  • Collaborate with Product and Engineering teams to influence roadmap priorities and future feature development.
  • Partner cross-functionally with Sales, Field Engineering, Product, and Technical Account Management to deliver a seamless and unified customer experience.

Requirements

  • 10+ years of experience in a customer-facing technical role (e.g., Solutions Engineer, Solutions Architect, Forward Deployed Engineer, Field Engineer, Cloud Architect).
  • Deep technical expertise with the ability to operate at a senior or principal level, including solution architecture and hands-on implementation.
  • Experience with multi-cloud environments (AWS, GCP, Azure) and modern data ecosystems.
  • Expertise in areas such as:
  • Exceptional communication skills, with the ability to:

Nice to have

  • Preferred Requirements

Skills

  • Convert business needs into clear technical requirements for product teams
  • Strong problem-solving skills and comfort operating in ambiguous, high-impact environments.
  • Willingness and ability to travel up to 50%.
  • Experience working in a high-growth or startup environment.
  • Prior experience influencing product roadmaps based on direct customer engagement.
  • Background in data modernization, cloud adoption, and AI enablement platforms.
  • Experience creating reusable frameworks, accelerators, or solution templates.
  • Bachelor's degree in Computer Science, Engineering, or related field (or equivalent practical experience).

Compensation

  • $205,000 - $220,000 USD on an annualized basis.
  • In addition to base pay, this role offers the opportunity to earn variable-based rewards.
  • Applications will be reviewed on a rolling basis and accepted until the position is filled.
  • Our company culture fosters entrepreneurship and nurtures our team members to grow with the company.
  • Come join a Silicon Valley startup focused on delivering a product that's loved by its customers and primed to be a core part of the cloud data stack.

Benefits

  • 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)
  • All applicants are considered for employment without attention to race, color, religion, sex, age, marital status, sexual orientation, gender identity, national origin, veteran status, or disability status.

Company info

  • Serve as the primary technical partner to customers across the full lifecycle, from pre-sales discovery and solution architecture through post-sales adoption, expansion, and renewal.
  • Translate business needs into highly technical concepts, bridging communication between customers and internal teams.
  • Contribute to internal best practices, reusable assets, and scalable solution frameworks to extend impact across customers.
  • Come join a Silicon Valley startup focused on delivering a product that's loved by its customers and primed to be a core part of the cloud data stack.
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