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Forward Deployed Product Manager

This is a Forward Deployed Product Manager role, remote in the USA, focused on AI-native content operations and MarTech. The PM will own the integration and deployment of the AI platform within complex client environments, specifically supporting CMS, DAM, and workflow automation tools. This role requires deep experience with enterprise MarTech, including AEM and Contentful, and offers a salary range of $130k–$190k per year.

Seniority

Senior

Product Area

marketing

Work Style

Remote

Salary

$130k–190k/yr

Location

USA

Type

Full_time

Role type

Skills

Required

  • CMS
  • DAM systems
  • AEM
  • Contentful
  • Sitecore
  • content workflow tooling
  • AI platform
  • AI literacy

Nice to have

  • management consulting
  • systems integration
  • AI-based marketing automation
  • analytics platforms

Benefits

HealthDentalVision401kPTOWellnessEquity
Full job description
Location: Remote USA Department: Product Gradial helps marketers and creatives move from idea to execution faster. Our platform turns intent into action, automating website updates, design system migrations, and ongoing content optimization while preserving brand integrity across every touchpoint. Backed by leading investors, we’re building software that adapts to the user, not the other way around. We move with urgency, operate with ownership, and solve hard problems from first principles. If you want to do ambitious work, take real responsibility, and help define the future of AI-native content operations, you’ll do your best work here. Role Overview Gradial is hiring a Forward Deployed Product Manager to help enterprise clients activate our AI platform inside complex marketing technology environments. In this role, you’ll work directly with customers to translate business goals into technical implementations, shaping both product usage and roadmap. You’ll support late-stage sales, lead delivery, and ensure measurable impact post-launch - all while feeding critical insights back into product development. Responsibilities Define integration scope, success criteria, and deployment strategy during late-stage sales cycles Lead implementation efforts across CMS, DAM, and workflow automation tools in client environments Design and validate agent-powered workflows that streamline content creation, personalization, and publishing Act as the voice of the customer with Product and Engineering, translating implementation challenges into roadmap opportunities Drive go-live, QA, and UAT processes with clear ownership of time-to-value Deliver enablement resources, training, and documentation to support long-term adoption Build trusted relationships with client-side marketing and technical stakeholders Requirements 7+ years in product, implementation, or consulting roles within enterprise MarTech Deep experience with CMS and DAM systems (e.g., AEM, Contentful, Sitecore) and content workflow tooling Proven success deploying technology into complex client environments with multiple stakeholder groups Strong product instincts with the ability to scope features and influence roadmap based on real-world usage Excellent communication skills; comfortable aligning cross-functional teams around technical decisions Willingness to travel for critical client engagements and cross-functional planning Desirable Attributes Background in management consulting, systems integration, or forward-deployed product roles Familiarity with AI-based marketing automation and analytics platforms Compensation The salary range for this position is $130,000 – $190,000 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... Embrace AI as a core tool for problem-solving, creativity and scale. Show a strong work ethic, high ownership and bias toward action. Communicate with clarity and curiosity. Thrive in fast-paced, hyper-growth environments; where building is always better than maintaining the status quo. What we offer Meaningful equity and competitive salary Comprehensive health, dental and vision coverage Fast-paced environment with autonomy and ownership Real impact, zero bureaucracy A front-row seat to building category-defining AI infrastructure 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. Applicants who require reasonable accommodation to participate in the application or interview process should contact us at careers@gradial.com to request assistance.

About Gradial

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Gradial builds an AI-powered operating system for enterprise marketing, turning fragmented campaign execution — authoring, redesigns, QA, and orchestration — into governed agentic workflows that run across a company's existing stack. Customers include T-Mobile, AWS, and Prudential. The Seattle-based company was founded in 2023 and raised a $35M Series B in late 2025 led by VMG with Madrona and Pruven, bringing total funding to about $55M. The team is roughly 65 people, mostly Seattle-based with some remote roles, and the culture emphasizes execution-first, end-to-end ownership, and pragmatic use of AI — a good fit for PMs who want to embed deeply with enterprise customers.

Marketing & Sales TechAI & Machine Learning

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