Senior MarTech Solutions Lead Seattle, Washington

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.

Gradial is hiring a Senior Mar Tech Solutions Lead to help enterprise clients unlock the full value of our AI platform within their marketing technology stack. You’ll operate between product, engineering, and client success: owning solution design in presales and leading implementation through to activation. This is a high impact, client facing role that blends technical depth with a sharp understanding of how marketers create and scale content.

• Partner with Account teams in late-stage sales to define integration scope, technical fit, and value realization
• Lead implementation across CMS, DAM, and workflow automation systems to embed Gradial into client environments
• Architect scalable, AI-powered workflows that accelerate content creation, personalization, and publishing
• Collaborate with client-side marketing and engineering teams to drive seamless deployment and sustained adoption
• Manage QA, UAT, and deployment processes with an emphasis on time-to-value and quality
• Deliver client training, documentation, and operational handoff to enable long-term success
• Capture field insights to inform product roadmap and platform evolution

• 7+ years of experience implementing or managing Mar Tech platforms in enterprise environments
• Hands‑on expertise with CMS and DAM systems (e.g., Adobe Experience Manager, Sitecore, Contentful)
• Proven ability to design, configure, and optimize tools in complex marketing stacks
• Strong client‑facing experience across both technical and non‑technical stakeholder groups
• Demonstrated ability to lead integrations and digital transformation initiatives from scoping to go‑live
• Familiarity with AI‑driven marketing automation and workflow tools
• Willingness to travel for key client engagements as needed
• Experience in consulting or systems integration across multiple enterprise clients
• Knowledge of Salesforce Marketing Cloud, Jira or similar platforms

The salary range for this position is $185,000 – $210,000 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.

• Learn quickly and actively seek out new challenges.
• Embrace AI as a core tool for problem‑solving, creativity and scale.
• Show a strong work ethic, high ownership and bias toward action.
• Communicate clearly, directly and with curiosity.
• Thrive in fast‑paced, hyper‑growth environments where building better > maintaining status quo.

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.

• Competitive salary and meaningful equity
• Fast‑paced environment with flexibility and ownership
• A front‑row seat to building category‑defining AI infrastructure

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