Product Specialist

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, 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 Product Specialist to serve as the connective tissue between clients, product, and implementation. In this role, you'll translate business objectives into actionable integrations, helping enterprise customers embed Gradial's AI platform directly into their existing MarTech ecosystems.

You'll play a dual role in supporting late-stage presales by shaping implementation scope and then owning the full delivery lifecycle post-sale. From integration design to go-live, your focus will be on enabling activation, adoption, and measurable impact. You'll work across technical and marketing stakeholders to streamline how content gets created, personalized, and published, then ultimately accelerating time-to-value for some of the world's most sophisticated marketing teams.

Responsibilities

• Partner with Account teams in late-stage pre-sales to define scope, integrations, and agentic workflows
• Lead technical implementations across CMS, DAM, and publishing systems within client environments
• Design and deliver agent-powered workflows that optimize content creation, personalization, and publishing
• Collaborate with client marketing and engineering teams to ensure seamless platform adoption
• Oversee QA, UAT, and deployment with a focus on quality, performance, and time-to-value
• Deliver training and documentation to drive enablement and ongoing platform usage
• Capture and relay feedback to influence product roadmap and future feature development

Requirements

Desirable Attributes

Compensation

The salary range for this position is $140,000 - $180,000 annually. Final compensation will be determined based on factors such as experience, skills, and qualifications. In addition to base salary, this role will 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.

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.

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.

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.

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