Jobs at Gradial

Lead product marketing to define Gradial's category and messaging, own positioning, launches, competitive strategy, analyst relations, customer storytelling, and sales enablement. Build repeatable case study and launch processes, work closely with founders, product, and sales, and translate complex AI-native product capabilities for technical and non-technical audiences.

Lead architecture and technical vision for AI-native systems that convert natural language into multi-step workflows. Design and scale LLM agents, real-time inference, memory and tool orchestration, and learning systems that evolve from usage data. Set engineering standards, mentor senior engineers, collaborate with product and design, and own ambiguous, end-to-end technical problems to ensure performance, reliability, and extensibility at scale.

Lead architecture and implementation of AI-native systems that convert natural language into multi-step workflows. Build and scale an LLM agent for real-time inference, dynamic prompting, and tool orchestration. Drive full-stack technical direction, ensure scalability/reliability, integrate learning from usage, mentor engineers, and collaborate with product and design to deliver production-quality, maintainable systems.

Build and evaluate autonomous and semi-autonomous agent workflows that interact with browsers, codebases, and APIs. Design modular tool/memory/evaluator frameworks, develop data pipelines for SFT and RL training, benchmark and prompt strategies, and partner with stakeholders to align AI behavior with user needs.

Lead end-to-end implementations of an LLM-driven platform for enterprise customers: perform technical discovery, build integrations and reusable tools, deploy and optimize features, collaborate with product and customer stakeholders, and maintain performance, reliability, and documentation.

Build and implement high-quality interactive UI components and prototypes using React/TypeScript/Next.js. Collaborate with product, design, backend, and AI researchers to define APIs, design systems, accessibility (WCAG), performance, and usability. Conduct usability tests, iterate on user-focused solutions, and maintain scalable component libraries and responsive web experiences.

Lead technical discovery and full-stack implementations of Gradial's LLM-driven platform for enterprise customers. Build integrations with CMS/DAM/workflow systems, develop reusable adapters and configuration layers, and optimize performance, reliability, and customer UX. Translate complex marketing operations into scalable generative-AI solutions and collaborate closely with customers and product/engineering teams.

Lead Gradial's visual and brand identity across website, product marketing, motion, social, decks, and more. Translate complex AI and automation concepts into clear, human-centered design, build scalable visual systems, partner with Product and GTM, raise design quality, and move quickly while maintaining high standards.

Create and maintain training, demos, and enablement assets for customers, partners, AEs and new hires. Build lesson content, videos, certifications, and demo scenarios; manage LMS publishing; coordinate reviews; track learner feedback and readiness; ensure materials stay current with product.

Build and scale Gradial's practitioner community and invitation-only Frontier CMO Council: define strategy, launch programs, run digital and in-person experiences, manage platforms (Slack), measure engagement and business impact, and partner cross-functionally to drive member growth, advocacy, and product insights.

Create product-led motion that communicates UI interactions and product value across demos, social videos, launches, and brand moments. Own video production from edit to final delivery (sound, color, finishing). Collaborate with Product Marketing, Product Design, and Brand to translate features into clear visual narratives while managing multiple projects and improving motion systems and workflows.

The Senior Integrations Engineer will design and implement enterprise-level integrations across various MarTech platforms, collaborating with teams to enhance AI-native content workflows.

The Forward Deployed Product Manager will integrate Gradial’s AI platform into complex marketing tech environments, lead implementations, drive product usage, and ensure measurable post-launch impact.

Own and improve the reliability, scalability, and operational health of Gradial's production platform. Lead Kubernetes, CI/CD, GitOps, infrastructure-as-code, observability, monitoring, alerting, incident response, and operational tooling. Drive performance, cost, security, and platform readiness in partnership with engineering teams.

Generate pipeline for enterprise marketing accounts through research-driven, personalized outbound outreach using AI tools. Qualify opportunities, collaborate with marketing and AEs, represent the company at events, iterate on outreach strategies, and maintain accurate pipeline data.

Work with leadership to identify and prioritize new market opportunities, research target accounts and executives, craft personalized outbound outreach, and generate qualified pipeline. Build and run targeted campaigns, leverage AI/LLMs and automation for prospecting and personalization, maintain CRM discipline in HubSpot, and collaborate with Sales and Marketing to drive commercial and enterprise growth.

The GTM Engineer will build systems for outbound marketing targeting, combining data-driven insights with technical workflows to optimize account outreach and drive pipeline from named accounts.

Lead product design for AI-native enterprise marketing workflows: map journeys, prototype, define UX patterns, evolve the design system, and partner with product and engineering to ship intuitive, trustworthy experiences that scale.

As a Forward Deployed Product Manager, you will help enterprise clients activate an AI platform, define integration strategies, and lead implementation efforts across various marketing technology environments.

The Senior Enterprise Account Executive will manage the full sales cycle, sell into complex organizations, deliver product demos, and maintain relationships with enterprise customers, focusing on marketing technology and AI solutions.