Senior Forward Deployed Engineer, Cyber
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 11d ago
The date the source published, not the day we noticed it (2026-10-21). Last seen at its source 5h ago.
We have tracked this listing since 21 Oct 2026 (11 days). The employer's own board has carried it every time we have read it, most recently 5 hours ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $168.8k–231.5k/yr
Middle 50% of 2774 listings that do state pay — Engineering · Senior · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
Ashby employer's own board first seen 11d ago · last seen 5h ago
The listing
About Us
Eliza is a technology services company and Advanced-tier OpenAI partner that's dedicated to helping organizations build and deploy cutting-edge AI solutions. From generative AI and custom LLM integrations to predictive analytics and intelligent automation, we work across industries to bring real-world AI applications to life. Our projects combine deep technical expertise with hands-on client collaboration to solve high-impact problems.
Job Summary
The Senior Forward Deployed Engineer, Cyber builds and deploys AI-enabled security solutions with customers. You will bring deep cybersecurity expertise and strong software engineering skills to work that spans discovery, architecture, integration, deployment, evaluation, and handover. You will own the engineering decisions that turn an ambiguous security problem into a useful, maintainable capability in the customer's environment.
This is a remote role with substantial autonomy and direct client contact. You will work closely with security practitioners, engineering teams, and delivery and commercial partners, making tradeoffs clear and keeping technical commitments credible. Experienced cyber engineers and senior technical leaders who want to remain hands-on are welcome.
Eliza is AI-native. You will use agentic coding tools in your engineering workflow (including OpenAI Daybreak), inspect and verify their output, and make practical decisions about where models help, where they fail, and where human judgment belongs. Client needs and technology change quickly; we value clear thinking, adaptability, and ownership through a validated outcome.
Key Responsibilities
1. Turn cyber needs into a technical plan
Lead technical discovery with customer security and engineering teams to understand workflows, systems, data, risks, and operating constraints.
Define a tractable problem, baseline, architecture, and acceptance criteria; explain what to build, defer, or escalate.
Align engineering work with measurable security outcomes, such as faster investigation or validated remediation, and make scope, dependencies, and tradeoffs visible.
2. Build and integrate AI-enabled security workflows
Write, review, and debug production software that connects models, APIs, telemetry, and security systems to support detection, investigation, and vulnerability remediation.
Choose tools and architecture that fit the engagement, balancing speed, reliability, maintainability, and cost.
Use AI coding tools effectively while retaining ownership of code quality, correctness, and security.
3. Deploy and operate in customer environments
Own deployment and troubleshooting with the appropriate customer owners, including configuration, access, CI/CD, monitoring, and integration failures.
Establish clear release, rollback, and operating procedures for the capability you deliver.
Resolve issues across system boundaries and surface technical or delivery risks early with a recommendation.
4. Evaluate quality and apply security judgment
Threat-model AI-enabled workflows and test realistic failure cases, including prompt injection, sensitive-data exposure, and unsafe tool actions, before treating a demonstration as production-ready.
Build practical controls across prompts, data flows, APIs, and cloud services, including least-privilege access, secrets protection, auditability, and human approval for consequential actions.
Verify that fixes address the original problem, document limitations, and involve specialist reviewers when needed.
5. Earn customer trust through technical delivery
Explain architecture, evidence, risks, and tradeoffs clearly to technical and nontechnical stakeholders.
Challenge requests that would undermine security or usefulness and offer practical alternatives.
Work with delivery and commercial partners on commitments and additional opportunities grounded in demonstrated customer value.
6. Leave maintainable capabilities behind
Produce clear documentation, interfaces, runbooks, and knowledge transfer so customer teams can operate and extend the work.
Agree operating ownership and handover criteria, or continued operation when the engagement calls for it.
Turn proven solutions and lessons into reusable engineering patterns, evaluation cases, and playbooks; share technical guidance with colleagues.
Qualifications
Required
Deep practical cybersecurity expertise, including hands-on blue-team experience in detection, investigation, response, or defensive security engineering, with specific examples of decisions and outcomes you personally owned.
Strong software engineering skills beyond security scripting: production code, integrations, debugging, testing, and maintainable system design.
A record of taking complex technical work from problem definition through deployment, validation, and operational handover.
Practical AI fluency, including effective use of AI development tools and sound judgment about model evaluation, failure modes, and human review.
Experience deploying and troubleshooting software in cloud or customer-hosted environments, with practical understanding of identity and access, APIs, delivery pipelines, and production observability.
Clear customer-facing communication and the ability to translate an ambiguous need into technical requirements and acceptance evidence.
Senior technical judgment: work independently, make tradeoffs explicit, recognize the limits of your expertise, and escalate material risks early.
Ownership of useful outcomes, including verification, documentation, and adoption after the initial build.
Preferred
Additional depth in application security, AI agent security, security developer tooling, or purple-team and red-team work.
Consulting, professional services, forward-deployed engineering, or comparable direct customer delivery experience.
Experience with vulnerability remediation, investigation automation, identity and access controls, or secure AI integrations.
Experience in defense or other demanding security environments, or a record of creating reusable technical capabilities across engagements.
What We Offer
Competitive compensation (base salary + performance incentives tied to client outcomes).
Equity options in a growing AI services company.
Exposure to a wide range of industries and high-impact AI problems.
Travel opportunities for on-site client engagements (if desired).
A collaborative, mission-driven team passionate about the real-world impact of AI.
Fully remote work.
Ownership of substantive cyber engineering work and the opportunity to shape reusable approaches to AI-enabled security delivery.