Software Engineer
Gradial
Listing collected from Gradial's career site. NextChapter is independent of Gradial.
Seattle, WA · Posted October 20, 2026
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Where Seattle, WA ranks
Where Seattle, WA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Cities with the most jobs that do not need a four-year degree in the Pacific Northwest316 jobs · of 8
- #1Best cities for software and engineering jobs in the Pacific Northwest1,776 openings · of 14
- #2Best cities for energy and utilities pay after cost of living$180k · of 18
- #2Best cities for entry-level jobs that want AI skills in the Pacific Northwest17% · of 12
- #2Best cities for AI-skill jobs in the Pacific Northwest26% · of 17
- #2Best cities for software and engineering jobs in the West Coast1,776 openings · of 60
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 475 open software engineer listings that state pay, the middle half runs $159,500 to $238,500 and the median is $197,500.
Listed pay is what employers advertise, not what people are paid.
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
Say which you have and which you want to build. We use it to match you to jobs like this one.
About the 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
As a Software Engineer at Gradial, you'll work directly with our CPO to prototype, build and launch entirely new AI-powered products, with an initial focus on paid media integrations. You'll operate at the frontier of applied AI, developing scalable software solutions for some of the world's largest companies, including T-Mobile and Amazon.
We're looking for a scrappy, high-agency engineer who thrives in ambiguity, moves quickly and takes ownership from concept to deployment. You'll play a critical role in exploring new product opportunities, solving complex technical challenges and building the systems and capabilities that shape what Gradial delivers next.
What You'll Own
Own the end-to-end development of new AI-powered applications and services, from early prototypes to production deployment.
Partner directly with the CPO to explore, prototype and validate new product opportunities, translating ambitious ideas into working software.
Design, build and deploy integrations across paid media systems, enabling new capabilities and workflows for enterprise customers.
Develop rapid prototypes to test technical approaches, gather feedback and turn promising concepts into scalable solutions.
Drive technical decisions across the stack, balancing speed, reliability, scalability and performance.
Collaborate with engineering, product and AI research teams to integrate emerging AI capabilities into production-ready applications.
Navigate complex APIs, external systems and technical challenges to build reliable, high-quality integrations.
Take ownership of ambiguous engineering problems with minimal direction, identifying solutions and moving quickly to deliver results.
What We Need
Exceptional technical ability and a demonstrated track record of building and shipping software, regardless of years of professional experience.
Strong software engineering fundamentals and the ability to design, develop and deploy solutions across the stack.
Experience working with APIs, integrating external services and building reliable connections between systems.
A bias toward action, with the ability to move from an ambiguous technical problem to a working solution quickly.
A scrappy, resourceful approach to engineering challenges and a willingness to figure things out independently.
High agency and a strong sense of ownership, with the ability to make technical decisions and execute without extensive direction.
Genuine curiosity about AI and excitement for building software that pushes the boundaries of what's possible.
Evidence of exceptional ability through projects, applications or other software you've built.
Nice to Have
Familiarity with paid media technologies, advertising workflows or marketing technology integrations.
Experience building applications with LLMs, AI agents or other emerging AI technologies.
Experience building and launching software from the ground up, whether through personal projects, startups or professional work
Compensation
The base salary range for this position is $14 0,000 – $185,000 . Final compensation will be determined based on factors such as experience, skills, and qualifications.
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.