You and the process

With a person
Anna, in-house recruiter
9 years hiring engineers
30 minutes with a real recruiter
They read your CV with you, on a call, and say where the offers are being lost.
Didn’t find what you were looking for? Tell us what to build
Gradial

Staff Security Engineer, AI

  • Office
  • 6+ years

Salary

$175,000 - 265,000/ year

AI summary

For members

The whole posting in a few lines. Sign up to read it here and on every role you open.

Sign Up to Read

Description

Gradial is building the AI-native system of work for enterprise marketing. Our agents turn ideas into live campaigns by executing across the tools, teams, and workflows enterprises already use—from content authoring and campaign assembly to quality assurance and brand compliance. We give marketers and creatives more time to shape brands, understand customers, and create work that moves people.

We’re tackling some of the hardest problems in applied AI: building agent harnesses, sandboxed execution environments, and orchestration that enable agents to plan, act, and verify their work reliably at enterprise scale. We’re growing rapidly, winning Fortune 500 and enterprise customers including AWS, T-Mobile, and Prudential. Our $65 million Series C led by Insight Partners is accelerating that momentum.

Join us to help define how people and AI agents work together. We move with urgency, reason from first principles, and take ownership from idea to customer impact. You’ll shape the product, own consequential problems, and build systems that some of the world’s leading brands depend on every day.

Responsibilities

  • As Gradial’s first dedicated security engineer, you’ll join as a Staff Security Engineer, AI and own product and platform security end to end, shaping how we design, build and operate secure agentic systems as we scale.
  • This is a deeply hands-on Staff IC role where you’ll set the technical direction for security, build the systems and controls that matter most and partner closely with engineering as our platform and customer base grow. You’ll work alongside our IT and compliance lead, who owns GRC and corporate IT, and have significant autonomy to determine where security investment will have the greatest impact.
  • What You’ll Own
  • Define and drive Gradial’s product and platform security strategy, prioritizing investments against the risks that matter most as we scale.
  • Lead threat modeling for our agentic platform and design protections across agent behavior, permissions, isolation, customer data and platform boundaries.
  • Harden our application and cloud infrastructure across production access, IAM, secrets management and the CI/CD supply chain.
  • Partner with engineering to build secure-by-default patterns into how agents, services and infrastructure are designed and shipped.
  • Own security detection and incident response for the platform, including logging standards, detection coverage and response processes.
  • Represent technical security in enterprise customer reviews and architecture discussions, translating our approach clearly to customer security teams.
  • Own the technical controls that support SOC 2 in partnership with our IT and compliance lead, ensuring controls are effective in practice as our systems evolve.
  • Help shape the future of security at Gradial, including identifying where we need additional capabilities and helping hire future security team members.
  • What We Need
  • 8+ years of experience in security engineering, including Principal or Staff-level ownership across complex production systems.
  • Deep product security experience across threat modeling, secure architecture, authentication and authorization and multi-tenant systems.
  • Strong hands-on experience with cloud security, Kubernetes, IAM and infrastructure as code.
  • A strong technical point of view on securing LLM and agent-based systems, with the ability to reason about emerging risks from first principles.
  • Experience leading security incident response for production services and improving systems based on what you learn.
  • A track record of writing and shipping production code, security tooling or infrastructure, not just reviewing the work of others.
  • Strong judgment and comfort making pragmatic security tradeoffs in fast-moving environments without an established playbook.
  • Clear communication with engineers, company leadership and enterprise customer security teams.

Requirements

  • Experience as an early security hire at a high-growth B2B SaaS, AI or infrastructure company.
  • Experience building security detections, telemetry and logging pipelines in cloud environments.
  • Experience implementing technical controls for SOC 2 or ISO 27001, or contributing to AI security research, standards or open-source security tooling.
  • The salary range for this position is $175,000 – $265,000 annually . Final compensation will be determined based on factors such as experience, skills, and qualifications.

Benefits

  • Performance-based annual bonus
  • Meaningful equity awards
  • Medical, dental & vision (fully covered for employees with 75% for dependents)
  • Fertility & family-planning support
  • 401k plan
  • Unlimited PTO
  • A beautiful Seattle office with a gym, sauna, and bike parking
  • Free lunch three days a week in our HQ
  • A front-row seat to building category-defining AI infrastructure
  • You'll thrive here if you
  • Learn quickly, actively seek out new challenges, and regularly reconsider “how it’s always been done.”
  • Want to have real impact with zero bureaucracy.
  • Have an innate drive for being 1% better than the day before, building towards greatness.
  • Embrace AI as a core tool for problem-solving, innovation, and scale.
  • Show customer-obsession (internal or external), high ownership/accountability, and bias for action.
  • Communicate clearly, directly, with curiosity, and assuming good intentions.
  • Thrive in fast-paced, hyper-growth environments where building better > maintaining status quo.
  • AI Literacy & Interviewing Tools
  • As an AI-first company, we prioritize AI literacy as a core competency in our hiring decisions. We’re excited by candidates who thoughtfully apply AI tools in their work, but during interviews we’re focused on you. This is your opportunity to show how you think, communicate, and solve problems. Over-reliance on AI-generated responses during the interview process (especially when it obscures your own voice) will result in disqualification. We want to understand your unique perspective and how you approach challenges, both with and without AI.
  • Gradial is dedicated to creating an environment where diverse perspectives are valued and all team members can grow. We offer competitive compensation, equity, flexible work hours, comprehensive benefits, and a collaborative culture focused on learning and impact.

Where you’d work

From the office

About the company

Gradial

Office in Seattle, United States

Also hiring in New York City, United States and San Francisco, United States

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 21 checks run
  • 2 red flags

Still hiring?

14 checks

No red flags

How crowded?

7 checks

2 red flags

Fits Me

How well does this role fit you?

Answer a few questions or drop your CV, and every role gets a fit score with the reasons, this one first.

  • Your field
  • Level
  • Stack
  • Work model
  • Salary floor
  • Must-haves
Details12 facts · Role, Location, Compensation, Employment
Tech stack
  • AWS
  • Kubernetes
  • CI/CD
Seniority
Staff
Type
Full-time
Equity
Equity offered
Specialty
Security
Region
United States
Show 6 more factsShow less

Role

Category
DevOps & Infrastructure
Specialty
Security
Seniority
Staff
Experience
8+ years
Tech stack
  • AWS
  • Kubernetes
  • CI/CD

Location

Work model
Office
Region
United States
Office
  • Seattle, United States

Compensation

Salary
$175,000 - 265,000 / year
Pay period
Annual
Equity
Equity offered

Employment

Type
Full-time

Something wrong with this vacancy?

Similar vacancies

Share this vacancy

What's wrong with it?

The employer never sees who reported.

Reason