Jobs at Gradial

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.

Lead design and operation of scalable, secure infrastructure for an AI-driven platform. Own Kubernetes clusters, CI/CD, observability, IaC, and real-time compute services. Drive automation, reliability best practices, disaster recovery, and long-term infrastructure strategy to support rapid product iteration and growth.

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 operate an intent-driven outbound engine: ingest signals, prioritize accounts, design enrichment and routing workflows, run personalized outbound programs, experiment across messaging and channels, and track signal-to-meeting pipeline performance. Partner with Sales and RevOps to improve handoffs and iterate quickly on what converts.

Lead and scale Gradial's EMEA commercial presence: define regional sales strategy, close complex enterprise deals, build pipeline, establish executive relationships, partner cross-functionally, and hire and develop a regional sales team to drive durable revenue growth.

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.

Lead and build Gradial's Canadian sales organization: create enterprise pipeline, manage complex deals with senior marketing and technology leaders, partner cross-functionally to develop market presence, and hire and scale the regional sales team while providing customer and product feedback.

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

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 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.