Forward Deployed Engineer

Posted Aug 28

This is a fully remote position, open to applicants in United States, +1 more country.

πŸ“‹ Description

β€’ Take ownership of technical value realization for a portfolio of key customers, ensuring a smooth journey from initial live data to sustainable adoption and growth.

β€’ Collaborate directly within customer environments and systems to gain insights into AI workflows, operational challenges, and consequential issues.

β€’ Analyze traces using Origin's dashboard, SQL, ClickHouse, APIs, and MCP-based tools.

β€’ Develop valuable findings and convert them into queries, canvases, dashboards, signals, integrations, workflows, prototypes, and production code.

β€’ Lead technical discovery sessions with customer engineers, security teams, AI platform teams, and executives.

β€’ Convert ambiguous business challenges into actionable technical tasks.

β€’ Define and deliver tailored customer solutions while determining which aspects should evolve into core platform functionality.

β€’ Design and implement custom telemetry integrations, data adapters, analytical logic, and comprehensive full-stack experiences.

β€’ Collaborate with Deployment and Engineering teams to eliminate access, integration, reliability, and rollout obstacles.

β€’ Draft technical specifications and contribute directly to Origin's codebase.

β€’ Create measurable value narratives for customer interactions.

β€’ Document reusable patterns and recurring challenges to inform Product and Engineering roadmap decisions.

β€’ Assist in defining the operating model, tools, and standards for the Forward Deployed Engineering function.

β€’ Travel may be required, up to approximately 20% of the time.


⛳️ Requirements

β€’ Minimum of five years of experience in building and delivering production software, data systems, security products, or complex enterprise solutions.

β€’ Strong hands-on engineering skills across a combination of Python, TypeScript/JavaScript, React, Rust, APIs, backend systems, data pipelines, and cloud infrastructure.

β€’ Ability to independently explore unfamiliar, large datasets and identify significant signals within noisy operational data.

β€’ Experience working directly with demanding enterprise customers and establishing credibility with hands-on engineers and senior executives.

β€’ Capability to break down vague, high-level problems into technical decisions and deliverables.

β€’ High agency and the ability to work independently in unfamiliar environments.

β€’ Strong product judgment to distinguish between custom workarounds and reusable platform capabilities.

β€’ Clear and direct communication skills with the ability to explain complex systems and link engineering efforts to customer outcomes.

β€’ Sound judgment under pressure and the ability to make trade-offs regarding scope, speed, and quality.

β€’ Strong follow-through and documentation capabilities.

β€’ Genuine enthusiasm for collaborating with customers.

β€’ Daily proficiency with modern AI development tools.

β€’ Nice-to-have experience in forward deployed engineering, technical consulting, professional services, solutions engineering, or customer-facing solution delivery.

β€’ Nice-to-have background as an early-stage startup, technical founder, or early engineer.

β€’ Nice-to-have experience with dashboards, detections, analytical workflows, or high-volume event/telemetry data products.

β€’ Nice-to-have experience related to enterprise identity, SSO, endpoint management, observability, SIEM/SOAR, cloud infrastructure, or security operations.

β€’ Nice-to-have experience with AI agents, LLM applications, evaluation systems, MCP, model gateways, or agent observability.

β€’ Nice-to-have fundamentals in Windows and/or macOS operating systems.

β€’ Nice-to-have experience in security operations, incident response, red teaming, or EDR/XDR.

β€’ Nice-to-have familiarity with AWS, GCP, Azure, Docker, Kubernetes, or Terraform.

β€’ Nice-to-have domain expertise in healthcare, financial services, manufacturing, supply chain, or technology.


🏝️ Benefits

β€’ Equity

β€’ Generous healthcare

β€’ Flexible PTO

β€’ Home-office support

β€’ Fully remote work arrangement

β€’ Culture focused on trust, autonomy, and excellence

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