2 months ago
Base Salary
$160k - $250k/yr
Responsibilities
- Define and drive architecture for systems that convert natural language into intelligent, multi-step workflows using generative AI
- Lead the design, implementation, and scaling of LLM agents for real-time inference, prompting, memory management, and tool orchestration
- Set engineering standards and influence system design across the stack, emphasizing performance, reliability, and extensibility
- Design learning systems using customer feedback, usage data, and brand preferences to evolve autonomously
- Mentor senior engineers and promote technical excellence, rapid iteration, and ownership
- Collaborate with product and design leaders to develop interfaces and features that adapt to user intent
- Champion testing, observability, deployment, and operational practices for system health at scale
- Own ambiguous technical and product problem spaces from end to end
Requirements
- 8+ years of professional software engineering experience, including significant leadership of complex technical initiatives
- Deep expertise in distributed systems, algorithms, and scalable software design
- Proven experience architecting and shipping systems in fast-moving, high-ambiguity environments
- Hands-on experience with LLM integration, generative AI frameworks, or AI-native applications
- Strong communication and cross-functional leadership skills
- Background in a technical field such as computer science, mathematics, physics, or systems engineering
- Experience building or scaling production AI agent architectures is preferred
- Early-stage startup experience owning both strategy and execution is preferred
Benefits
- Medical, dental, and vision insurance
- 401K retirement plan
- Paid time off and paid sick leave
- Employee wellness programs
- Meaningful equity and performance-based bonus eligibility
- Flexible work hours and a collaborative, low-bureaucracy environment
Categories
About Gradial
Gradial builds an enterprise marketing operations platform that orchestrates tools, workflows, and teams to automate content and campaign execution for marketing organizations. It sells its software to enterprises seeking to streamline complex martech stacks and speed time from idea to launch. Founded in 2023 and headquartered in Seattle, Washington, the company is privately held and focuses on improving omni-channel content operations for large brands.