Forward Deployed Engineer
Armadin
Palo Alto, CA · Posted November 2, 2026
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Where Palo Alto, CA ranks
Where Palo Alto, CA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #3Best cities for entry-level jobs that want AI skills28% · of 100
- #3Best cities for entry-level jobs that want AI skills in the West Coast28% · of 54
- #3Best cities for AI-skill jobs37% · of 100
- #3Best cities for AI-skill jobs in the West Coast37% · of 71
- #4Best cities for data and analytics pay after cost of living$207k · of 28
- #4Best all-round cities for mid-career professionals83 / 100 · of 100
Rankings about engineering jobs
- Best cities for software and engineering jobs #1 San Francisco (3,412 openings)
- Best cities for engineering pay after cost of living #1 San Mateo ($216k)
- Most requested AI skills in engineering jobs #1 AI tools in daily work (6.1%)
- AI tools named most often in engineering jobs #1 Claude (1.7%)
- Employers with the most engineering jobs #1 Amazon (2,992 roles)
Pay compared with the market
This listing does not state pay. Across 126 open forward deployed engineer listings that state pay, the middle half runs $155,000 to $237,000 and the median is $195,000.
Listed pay is what employers advertise, not what people are paid.
Forward Deployed Engineer salaries by state · Check your own pay
How AI is used in this kind of work
Among software developers, AI is already used for some of the tasks. Measured exposure for software developers: 29% (some).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
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About the job
About Us
At Armadin, we're a group of engineers, researchers, and security researchers on a mission to redefine what proactive security can do in the AI era. Cyberattacks are becoming autonomous and relentless and we believe defending against threats before they materialize is one of the most powerful ways to protect the institutions the world depends on.
We're building autonomous proactive security from the ground up, reinforcing the tradecraft of elite security practioners into purpose-built security models and agents that discover risk and remediate it before organizations are breached.
Led by Kevin Mandia, founder of Mandiant ($5.4B exit to Google), our team brings together researchers and engineers from Google, xAI, Meta, Stanford, Georgia Tech, Waterloo, Berkeley, and MIT to reinvent security for an adversary that never sleeps.
The Role
As a Forward Deployed Engineer at Armadin, you'll embed with enterprise teams, deploy our agentic platform into their environment, and build whatever it takes to make it work for them. You're the person in the room when the customer hits a wall and the person who ships the fix that night. Your job is to make every customer feel like Armadin was built for them, then bring what you learn back into the product so the next deployment is faster than the last.
What You'll Do
Deliver the Magic: Own the customer journey from pre-sales scoping through deployment and expansion, making the first weeks feel effortless.
Customize at the Edge: Build customer-specific integrations, workflows, and agent configurations on top of the Armadin platform.
Embed with Customers: Work directly with security, platform, and DevOps teams and CISOs, turning ambiguous requirements and compliance constraints into shipped deployment plans.
Build the Playbook: Turn what you do by hand into runbooks, automation, and self-service tooling for every customer after.
Close the Loop with Product: Bring field signal back to Engineering, Product, and Research.
Own Operational Health: Lead upgrades, scaling, and incident support for our most critical deployments.
What You'll Bring
Forward Deployed DNA: You've worked as a forward deployed engineer, deployment strategist, solutions engineer, or similar, and have a track record of owning customer outcomes in the field.
Top-Tier AI Experience: Time at a leading AI company or AI-native startup where you shipped LLM-powered products to real customers.
Technical Range: Strong software fundamentals plus hands-on cloud and deployment depth (AWS, Terraform, containers, networking), including deployments into customer-owned environments.
Bias to Ship: You'd rather build a working solution on-site than write a requirements doc, and you own what you build through operational health.
AI Fluency & Judgment: AI shapes how you build, and you know when to configure, when to extend, and when to push a capability back into the core platform.
Degree in Computer Science or a related field, or equivalent professional experience.
Even Better With
Early-stage experience building deployment operations, playbooks, and tooling from scratch.
Go, Python, or TypeScript services in production.
Benefits & Perks | FTE
🏥 Full Health, Dental, & Vision Coverage
📈 Meaningful Equity Ownership
🥙 In-Office Meals
✂️ Haircuts at the Office 🎉 Company Sponsored Conferences & Events
💸 401(k), HSA, and FSA Plans
🌴 Flexible PTO