Forward Deployed Engineer

Member of Technical Staff, Deployments (Full-Time | San Francisco or New York | $400K to $500K Salary Plus Equity) At Dynamism, we partner with breakout startups backed by Sequoia, a16z, and Y Combinator to help them hire engineers with founder energy, people who build fast, think like owners, and thrive in zero-to-one environments. We're hiring a Member of Technical Staff, Deployments for an early-stage AI company building simulated environments, realistic data, and challenging tasks that help frontier models develop more capable and reliable behavior. The company works with frontier AI labs, hyperscalers, and enterprises, is backed by Sequoia, and is growing quickly. This role sits inside an entirely technical team. You will build robust environments and tasks that sit just beyond the reach of today's frontier models, investigate immediate bottlenecks, and create systems that raise the quality and scale of future work. The company is particularly interested in former founders and early-stage engineers who combine execution, research taste, and close attention to detail. Location: San Francisco or New York, on-site Compensation: $400K to $500K salary plus meaningful equity Stage: Early-stage, backed by Sequoia Focus: AI-agent evaluation environments, realistic data, and deployments Customers: Frontier AI labs, hyperscalers, and enterprises What You\'ll Own Robust environments and realistic data for evaluating and improving AI agents Challenging tasks designed to expose capabilities just beyond current frontier models Immediate technical and operational bottlenecks across deployments Systems that preserve quality while the company and its work scale Clear collaboration with researchers and leaders at frontier AI labs Parallel workflows that use many AI agents without outsourcing your judgment Precise delivery where small details can affect major training and evaluation runs You Might Be a Fit If You… Have founded a company, worked as an early engineer, or owned outcomes in a high-agency environment Are a strong technical generalist who can work across engineering, research, and non-engineering problems Think in systems and are not satisfied with a narrow local solution Communicate clearly while priorities and context change quickly Use AI agents deeply and understand both their capabilities and limitations Move quickly without sacrificing quality or attention to detail Prefer direct execution and accountability over management from a distance Bonus If You\'ve… Built or led an early-stage company Worked on AI evaluations, post-training, agent behavior, or simulated environments Collaborated directly with frontier-model researchers or customers Built data, research, or deployment infrastructure under changing requirements Developed systems that helped a small technical team maintain quality at greater scale This role will not suit someone looking for routine, a narrow technical silo, or a management-only position. The team values ownership, relentlessness, truth over comfort, precision under pressure, and grit. #J-18808-Ljbffr