2+ years experience in consulting or forward-deployed engineering roles with large enterprises
Strong engineering skills and comfort in customer interactions
Proven track record of creating prototypes and delivering new solutions under ambiguity
Ability to translate customer needs into clear technical requirements
Agility in quickly iterating and responding to project changes
Experience building evaluation environments for AI agents
Responsibilities
Engage with frontier AI labs to gather and clarify client requirements
Convert customer requests into actionable technical specifications
Prototype, ship, and iterate on tailored environments before broader platform integration
Utilize and enhance internal tools instead of developing new ones from scratch
Collaborate with SPL project pods to troubleshoot and ensure seamless project delivery
Provide feedback on solutions to help build reusable capabilities
Establish and maintain technical credibility in customer engagements
Benefits
Fully covered medical, dental, and vision insurance
$10k+ relocation stipend for moving to San Francisco
401(k) plan with up to 4% employer matching contribution
Free meals (breakfast, lunch, dinner) while on duty
Complimentary gym membership for health and wellness
Free transportation options including Ubers and Waymo rides to the office
Visa sponsorship available, including H-1B sponsorship
Full Job Description
The role
Base: $200-275k • Equity: 0.15-0.30% • Location: San Francisco, 5 days in office
Our FDEs will interface directly with our customers at AI Labs and Enterprises. You will sit in the customer research meetings, understand the intent behind the requests, and create software that drives forward $xMM projects. The work is a mix of client facing, 0 to 1, rapid prototyping, and product scaling with core platform teams. Your engineering will directly support revenue creation and frontier intelligence scaling.
Responsibilities
Work directly with frontier AI labs and enterprise customers to understand requirements and what they need from an RL environment
Translate customer requirements into concrete technical specs our platform and project pods can build against.
Build 01 - prototype, ship, and iterate on customer-specific environments and tooling before any of it becomes a platform feature.
Use and extend our internal platforms and dev tooling rather than rebuilding them.
Embed with SPL project pods to unblock delivery: integration, technical debugging, and the last-mile problems that decide whether a project lands.
Feed patterns back to the platform team so one-off solutions become reusable capability.
Own technical credibility in customer conversations, from scoping through delivery.
You should have
2+ years of experience in consulting or forward-deployed engineering roles for large enterprises with custom software, systems, and requirements
Strong engineering ability paired with genuine comfort interacting directly in front of customers
A track record of 01 work: shipping something that did not exist, under ambiguity, without waiting for a spec.
The ability to translate fuzzy customer language into technical requirements, and technical constraints back into plain terms.
