The Role
We’re hiring a Forward Deployed Engineer to lead implementations of our AI platform directly with customers. This role is ideal for a technically fluent builder who thrives at the intersection of engineering and problem solving; someone who wants to be hands-on with code while shaping how some of the world’s most recognizable brands modernize their content operations.
As an FDE, you’ll own full-stack development for enterprise deployments, working side-by-side with customers to map complex workflows into scalable generative systems. You’ll move between discovery, prototyping, implementation, and post-launch optimization - translating real-world pain points into elegant technical solutions.
What You'll Own
- Lead technical discovery and implementation for new enterprise customers, translating nuanced business processes into robust AI-native solutions.
- Build, deploy and optimize features that integrate customer systems with Gradial’s LLM driven platform.
- Develop reusable tools, adapters and configuration layers to support scalable enterprise onboarding.
- Collaborate with customer stakeholders (mainly within marketing, operations and engineering) to define requirements, surface edge cases and iterate in real time.
- Work closely with Gradial’s product and engineer teams to incorporate learnings from the field into our core roadmap.
- Contribute to internal technical documentation and implementation playbooks that accelerate future deployments.
- Own performance, reliability and maintainability for the solutions you ship, from backend architecture to customer UX.
What We're Looking For
- 3+ years of software engineering or technical implementation experience, ideally in customer-facing contexts.
- Proficiency in programming languages such as TypeScript or similar, with a strong understanding of APIs and systems integration.
- Ability to rapidly understand unfamiliar technical ecosystems (CMS, DAM, workflow tools) and build integration paths.
- Excellent communication skills. Confident translating for both technical and non-technical stakeholders.
- High ownership mindset with comfort operating independently, navigating ambiguity.
- Willingness to travel occasionally (<10%) for customer discovery, deployment and relationship building.
Nice to Have
- Experience working with enterprise customers; particularly in content, marketing or digital operations.
- Familiarity with LLMs, generative AI pipelines and agent-style automation frameworks.
- Background in consulting, technical solution engineering or internal tools engineering.
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