Forward Deployed Engineer

The Principal Forward Deployed Engineer operates at the intersection of customer success, solution engineering, cybersecurity, data engineering, and AI-enabled automation. This role works directly with

U.S. power utility and government customers to solve urgent cyber and operational risk challenges while turning those learnings into repeatable, productized capabilities. AI-assisted cyber threats are increasing demand for rapid, customer-specific analysis. Customers need to know whether their current defenses can withstand machine-speed vulnerability discovery, exploitation analysis, and attack path evaluation.

This role addresses that need through embedded, hands-on engineering: quickly understanding customer processes, systems, data, cyber posture, and constraints, then delivering working solutions in approved customer or secure environments. This is a seasoned, principal-level individual contributor role reporting into Customer Success. This is an ideal opportunity for a senior technologist who wants to work on the front line of AI-era cyber defense for critical infrastructure, combining deep technical delivery with executive-level customer impact and commercial judgment.

Tasks

• Work directly with U.S. power utility and government customers to reduce cyber risk, improve visibility, and respond to AI-assisted threats.
• Quickly understand customer processes, systems, data, cyber posture, and business constraints.
• Help customers answer urgent cyber questions, such as which products, vendors, components, assets, or supply chain relationships may be impacted by a newly announced threat or vulnerability.
• Access, export, normalize, and compare customer data across vulnerability management,
• Endpoint detection, network topology, attack path tooling, asset inventories, software bills of materials (SBOMs), business impact analysis, and supply chain mapping.
• Write secure, outcome-focused code, including agentic workflows and batch jobs, to surface insights quickly in approved customer or secure environments.
• Convert bespoke customer work into product requirements that Product Management can formalize into scalable software capabilities.
• Identify expansion opportunities by demonstrating customer value, shaping repeatable usecases, and connecting services-led problem solving to embedded platform capabilities.
• Present findings clearly to customer executives, technical teams, and internalstakeholders.

Requirements

• 7-10 years experience combining software/data engineering, cybersecurity analysis, and customer-facing solution engineering at a senior or principal level.
• Hands-on experience developing AI-agentic workflows (LLM-based automation, agent orchestration, retrieval-augmented pipelines, or similar).
• Demonstrated ability to access, normalize, and analyze large, messy, multi-source data sets to answer urgent operational questions.
• Ability to write pragmatic, secure, production-appropriate code (e.g., Python or similar) in constrained or regulated environments.
• Strong executive communication skills, including presenting complex technical findings to customer leadership.
• Ability to operate independently in embedded customer environments and manage competing priorities.
• Must be eligible for a U.S. security clearance; successful completion of a background check is required.

Experience with U.S. electric utilities or other critical infrastructure sectors.

Familiarity with OT/ICS environments and their operational and remediation constraints.

Knowledge of NERC CIP or comparable regulatory frameworks.

Experience with vulnerability management, attack path analysis, and endpoint/security tooling.

Experience with supply chain risk management (SCRM), SBOM/VEX analysis, and third- party risk workflows.

Commercial judgment: shaping repeatable use cases and identifying expansion

opportunities.

Bachelor'sdegree in computer science, engineering, cybersecurity, or a related field

required.

Advanced degree or relevant certifications (e.g., security or cloud) preferred.

Benefits

Remote work, United States