Forward Deployed Engineer
New
O
OriginAI Observability
United States and CanadaFull-TimeSenior
Salary$200K - $320K
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Job Details
- Experience
- At least five years
- Required Skills
- PythonSQLJavascriptTypeScriptClickhouseReactRustRESTful APIs
Requirements
- At least five years of experience building and delivering production software, data systems, security products, or technically complex enterprise solutions.
- Strong hands-on engineering ability across some combination of Python, TypeScript/JavaScript, React, Rust, APIs, backend systems, data pipelines, and cloud infrastructure.
- Ability to independently explore unfamiliar, high-volume datasets and find meaningful signals inside noisy operational data.
- Experience working directly with demanding enterprise customers and operating credibly with both hands-on engineers and senior executives.
- The ability to decompose vague, high-level problems into a sequence of technical decisions and shipped artifacts.
- Strong product judgment and the ability to synthesize feature requests into underlying problems.
- Clear, direct communication skills, including the ability to run technical rooms and explain complex systems.
- Sound judgment under pressure and comfort making tradeoffs in ambiguous production environments.
- Daily fluency with modern AI development tools and excitement about working at the frontier of enterprise AI adoption.
- Ability to travel up to approximately 20%.
Responsibilities
- Own technical value realization for a portfolio of strategic customers, from first live data through durable adoption and expansion.
- Work directly inside customer tenants and systems to understand their AI workflows, operational constraints, and most consequential problems.
- Independently interrogate traces using Origin's dashboard, SQL and ClickHouse, APIs, and MCP-based tools.
- Turn discoveries into working artifacts, such as queries, canvases, dashboards, signals, integrations, workflows, prototypes, and production code.
- Lead technical discovery with customer engineers, security teams, AI platform teams, and executives.
- Design and implement custom telemetry integrations, data adapters, analytical logic, and full-stack experiences for complex customer environments.
- Convert field experience into product leverage by documenting reusable patterns and identifying recurring gaps for the Product and Engineering roadmap.
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