Senior Software Engineer

Gradial is a Seattle-based startup enabling digital experiences at the speed of thought. We empower marketers and creatives to implement their ideas directly, with software that adapts over time. Our platform automates website and design system updates, large-scale migrations to new design systems, and continuous content optimization while adhering to company and product brands.

Backed by world class investors and a recent Series A raise of $13 million—we’re looking to scale our platform and expand our team. At Gradial, we operate with extreme ownership, bias towards action, and critical path planning. We tackle problems from first principles, question assumptions, and find creative solutions. If you want to take risks, work on groundbreaking technology, and see the direct impact of your work, Gradial is where you belong.

Role Overview

Gradial is looking for a Senior Software Engineer to lead the development of AI-native systems that redefine how creative teams build and update websites. As an early engineer, you’ll be integral to figuring out how to use and program LLMs to redefine how people do work.

You’ll play a key role in shaping our technical direction, working closely with product and design to bring powerful, intuitive tools to life. This is an opportunity to help architect the foundation of a fast-moving product and contribute to a high-agency, low-ego team focused on real-world impact.

Responsibilities

• Lead the design and implementation of systems that convert natural language into intelligent, multi-step workflows using generative AI
• Architect and scale an LLM agent for real-time inference, dynamic prompting, and tool orchestration
• Drive technical direction across the stack - from backend systems to front-end UX—with a focus on performance, scalability, and long-term maintainability
• Design systems that learn over time - integrating customer feedback, usage data, and brand preferences
• Mentor and guide other engineers; influence engineering culture, standards, and best practices
• Collaborate with design and product to reshape the software in real-time; adding / removing features or adjusting layout on the fly
• Ensure scalability, reliability and performance through strong testing, deployment, and observability practices
• Operate without silos : own the problem and the solution from end to end

Requirements

Desirable

Compensation

The base salary range for this position $120,000 – $200,000 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.

You'll thrive here if you...

maintaining status quo.

What we offer

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.

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.

Privacy Policy

By submitting your application to Gradial, you acknowledge that any personal data you provide will be processed in accordance with our Privacy Policy. This includes the collection, use, and storage of your information for the purposes of evaluating your qualifications and communicating with you about your candidacy. We handle applicant data with care and in compliance with applicable data protection laws.

If you have any questions about how your information is used, please refer to our Privacy Policy or contact us directly.

#J-18808-Ljbffr