Six Figure Work

Senior Forward Deployed Engineer

Gradial

Company websitegradial.com (Gradial, opens in new tab)

Base salary $145K  to $215K

Employer-published annual base salary, USD. Advertised base range in Seattle, WA

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  • LocationSeattle, WA
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (1 h ago) · observed since

About this job

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.

The Role 

We’re hiring a Senior Forward Deployed Engineer to lead implementations of our AI platform directly with customers. This role is ideal for an experienced technically fluent builder who thrives at the intersection of engineering and problem solving; someone who wants to be hands-on with code while shaping how some of the world’s most recognizable brands modernize their content operations.

As a Senior FDE, you’ll own full-stack development for enterprise deployments, working side-by-side with customers to map complex workflows into scalable generative systems. You’ll move between discovery, prototyping, implementation, and post-launch optimization - translating real-world pain points into elegant technical solutions.

What You'll Own

  • Lead technical discovery and implementation for new enterprise customers, translating nuanced business processes into robust AI-native solutions.
  • Build, deploy and optimize features that integrate customer systems with Gradial’s LLM driven platform.
  • Develop reusable tools, adapters and configuration layers to support scalable enterprise onboarding.
  • Collaborate with customer stakeholders (mainly within marketing, operations and engineering) to define requirements, surface edge cases and iterate in real time.
  • Work closely with Gradial’s product and engineer teams to incorporate learnings from the field into our core roadmap.
  • Contribute to internal technical documentation and implementation playbooks that accelerate future deployments.
  • Own performance, reliability and maintainability for the solutions you ship, from backend architecture to customer UX.

What We're Looking For

  • 5+ years of software engineering or technical implementation experience, ideally in customer-facing contexts.
  • Experienced in programming languages such as TypeScript or similar, with a strong understanding of APIs and systems integration.
  • Ability to rapidly understand unfamiliar enterprise software architectures (CMS, DAM, workflow tools) and build integration paths.
  • Excellent communication skills. Confident translating for both technical and non-technical stakeholders.
  • High ownership mindset with comfort operating independently, navigating ambiguity.
  • Demonstrated experience working with enterprise customers; particularly in content, marketing or digital operations.
  • Experience with LLMs, generative AI pipelines and agent-style automation frameworks.
  • Willingness to travel occasionally (<10%) for customer discovery, deployment and relationship building.

Compensation 

The salary range for this position is $145,000 – $215,000 annually. Final compensation will be determined based on factors such as experience, skills, and qualifications. In addition to base salary, this role may be eligible for performance-based bonuses and equity awards. Gradial offers a comprehensive benefits package, including medical, dental & vision insurance, 401K retirement plan, paid time off, paid sick leave and other employee wellness programs. 

What we offer

  • 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.

Source: Gradial on Greenhouse · View original posting (opens in new tab)

Pay in context

This role's base floor ($145,000) is above 52% of the 325 Data & ML roles in Washington listed on this site. Their median floor is $143,700; the middle half runs from $136,000 to $168,100.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.

This range next to 6 other live Gradial roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Gradial roles with the nearest advertised base floor
RolePublished base
Senior Forward Deployed Engineer (this listing)$145K - $215K
Senior Demand Generation Manager$150K - $165K
Software Engineer$140K - $185K
Staff Forward Deployed Engineer$155K - $225K
Product Marketing Manager$165K - $185K
Forward Deployed Product Analyst$120K - $135K
Staff Software Engineer, Backend$175K - $265K

Same $100K to $400K scale as every card. All Gradial roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
  3. Advertised base range changed
Observed since
Employer-stated posting date
2026-07-29
Where this pay comes from

Location as the employer wrote it: Seattle, WA

The salary range for this position is $145,000 – $215,000 annually. Final compensation will be determined based on fa

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.