Forward Deployed Engineer

Nullify

San Francisco (CA)

On-site

USD 180,000 - 240,000

Full time

4 days ago
Be an early applicant

A complete application in a minute

Tailored resume and cover letter, ready to send.

Get past ATS filters

Job summary

Nullify is building a post-human product security harness that prioritizes high-impact work by continuously allocating AI capacity. You will ensure agents operate reliably in real enterprise environments and across diverse codebases, architectures, and security programs.

You’ll diagnose failure modes and edge cases to improve reasoning, context, tools, evaluation, orchestration, and the product itself. You’ll work with some of our largest customers, owning agent performance and extending the

Qualifications

  • Strong fundamentals in Go and/or Python, and the judgment to know when to reach for which.
  • Experience with production distributed systems—queues, state machines, idempotency, failure modes.
  • A preference for simple, correct code over clever abstractions.
  • Curiosity about security, even if it’s not your background yet.
  • Customer obsession and passion for servicing customers and making them successful.

Responsibilities

  • Own the performance of Nullify’s agents across a set of large enterprise customers.
  • Find where agents and subagents fail, underperform or require human intervention—engineer those weaknesses out.
  • Work against real customer codebases and environments to understand failure modes not shown in benchmarks.
  • Build and improve agent tooling, context, orchestration, evaluation and underlying product capabilities.
  • Turn customer-specific edge cases into generalized harness capabilities.
  • Collaborate with customer security and engineering teams to define what good performance looks like in their environments.
  • Feed field learnings into the core product to increase autonomous operation across more customers.

Skills

Go
Python
Distributed systems
Code quality
Security awareness

Job description

Nullify is building the post-human product security program - one harness that drives product security work to closure by continuously allocating AI capacity toward the highest-impact work.

Building that harness means more than building agents that work in the abstract. They need to perform reliably inside real enterprise environments, across different codebases, architectures, security programs and engineering constraints.

You'll work closely with some of our largest customers and own how Nullify's agents perform in their environment. Where agents encounter failure modes or edge cases when discovering, triaging or remediating vulnerabilities, you'll diagnose them and improve the system - whether that means improving reasoning, context, tools, evaluation, orchestration or the underlying product.

The goal is to turn what we learn from each customer into a stronger harness. As edge cases become product, each FDE supports more customers and the system requires less human intervention.

What you'll do
  • Own the performance of Nullify's agents across a set of large enterprise customers.
  • Find where agents and subagents fail, underperform or require human intervention - and engineer those weaknesses out.
  • Work against real customer codebases and environments to understand failure modes that don't show up in a benchmark.
  • Build and improve agent tooling, context, orchestration, evaluation and underlying product capabilities.
  • Turn customer-specific edge cases into generalized capabilities in the harness.
  • Work directly with customer security and engineering teams to understand what good performance actually looks like in their environment.
  • Feed what you learn in the field directly into the core product, increasing how many customers the harness can serve autonomously.
What you'll bring
  • Strong fundamentals in Go and/or Python, and the judgment to know when to reach for which.
  • Experience with production distributed systems - queues, state machines, idempotency, failure modes.
  • A preference for simple, correct code over clever abstractions.
  • Curiosity about security, even if it's not your background yet.
  • Customer obsession and passion for servicing customers and making them successful
Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Field AI Security Engineer - Enterprise Harness Specialist
Field AI Security Engineer - Enterprise Harness Specialist

Nullify • San Francisco (CA)

On-site
USD 180,000 - 240,000
Forward Deployed Engineer (FDE) - Intern - 2026-2027
Forward Deployed Engineer (FDE) - Intern - 2026-2027

Netic • San Francisco (CA)

On-site
USD 18,000 - 24,000
Forward Deployed Engineer
Forward Deployed Engineer

Sola Security, Inc. • United States

On-site
USD 120,000 - 160,000
Forward Deployed Engineer (Implementation Engineering)
Forward Deployed Engineer (Implementation Engineering)

Harness • United States

Remote
USD 170,000 - 200,000
Competitive salary
Comprehensive healthcare benefits
Flexible Spending Account (FSA)
+5
Forward Deployed Engineer (Security)
Forward Deployed Engineer (Security)

Tracecat • New York (NY)

On-site
USD 140,000 - 200,000
Competitive compensation and equity
20 days paid time off
15 days remote work flexibility
+4
Forward Deployed Engineer
Forward Deployed Engineer

UMATR • New York (NY)

On-site
USD 140,000 - 190,000
Forward Deployed Engineer
Forward Deployed Engineer

YouDevise • New York (NY)

On-site
USD 140,000 - 210,000
Forward Deployed Engineering Lead
Forward Deployed Engineering Lead

Doppel • New York (NY)

On-site
USD 140,000 - 190,000
Free lunch and dinner in the office
Flexible PTO
Quarterly team offsites
Forward Deployed Engineer (FDE) - New Grad - 2026-2027
Forward Deployed Engineer (FDE) - New Grad - 2026-2027

Netic • San Francisco (CA)

On-site
USD 120,000 - 180,000
Forward Deployed Engineer
Forward Deployed Engineer

Strativ Group • Washington, Baltimore (MD)

Hybrid
USD 140,000 - 210,000