Staff Software Engineer, Backend
Required skills
- backend systems
- AI-driven workflows
- real-time inference
- tool orchestration
- long-running processes
- scalability
- reliability
- performance
- maintainability
- 0→1 systems
Nice to have
- AI/ML systems
- LLMs
- agentic workflows
- high-growth startups
- early-stage startups
- TypeScript
Role summary
Gradial is seeking a Staff Software Engineer, Backend to tackle complex and ambiguous technical challenges, focusing on building the backend foundations for AI-driven workflows. This hands-on role involves owning critical systems from conception through production, making architectural decisions, and writing production code. The engineer will lead large technical projects, architect scalable and reliable backend systems, and establish patterns to improve engineering effectiveness. Key responsibilities include driving technical direction, building new systems, and partnering with product and design. The role requires 8+ years of backend experience, deep expertise in software architecture and distributed systems, and a track record of leading complex projects. Experience with AI/ML systems and TypeScript is a plus. The position is based in Seattle and offers a competitive salary and benefits package.
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
Gradial is looking for a Staff Software Engineer, Backend to take on some of the largest, most complex and ambiguous technical problems across our product. You’ll own critical systems from loosely defined problem through architecture and production, building the backend foundations that enable Gradial to deliver increasingly powerful AI-driven workflows.
This is a highly hands-on IC role. You’ll write production code, make consequential architectural decisions and create clarity where the path forward is not obvious. You’ll work closely with engineering, product and design to turn ambitious ideas into reliable systems while raising the technical bar across the engineering team.
What You’ll Own
What We Need
Nice to Have
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.
What we offer
You'll thrive here if you
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.
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