Solutions Architect / Sales EngineerLocation: San Francisco, CACompany Stage of Funding: Seed / Early GrowthOffice Type: On-site (5 days/week in SF)Salary: $150,000 – $220,000 BaseOTE: $200,000 – $275,000 UncappedEquity: CompetitiveVisa: Open to transfers, no new visasCompany DescriptionOur client is building one of the most widely adopted AI infrastructure platforms for developers and enterprises.Their open-source AI Gateway powers integrations across 100+ LLM providers including OpenAI, Anthropic, Bedrock, Vertex AI, Cohere, and Azure.The platform is used by leading enterprise customers including Adobe, Netflix, Nvidia, and NASA.The company has reached $10M+ ARR, is growing exponentially, and is already meaningfully profitable.Backed by Y Combinator, Gravity Fund, and Pioneer Fund.Small, highly technical team with strong engineering culture and rapid product velocity.This is an opportunity to join a fast-scaling AI infrastructure company at the center of the LLM ecosystem.What You Will DoRun technical demos and customer-facing sales calls alongside Account ExecutivesServe as the primary technical expert during enterprise customer conversationsExplain complex AI infrastructure and architecture concepts clearly to engineering teamsScope customer integrations and deployment architecturesHelp enterprise customers evaluate and adopt LiteLLM in production environmentsSupport technical proof-of-concepts and production onboarding workflowsManage ~50 active opportunities simultaneously across fast-moving sales cyclesPartner closely with engineering and product teams to relay customer feedbackTranslate technical customer pain points into actionable product insightsGuide customers through LLM provider integrations and AI gateway deploymentsWork directly with developers, infrastructure teams, platform engineers, and AI engineering teamsHelp customers optimize routing, reliability, observability, and deployment architectureOperate in a high-volume, high-ownership startup sales environmentBalance technical depth with strong commercial instinctsBecome a trusted technical advisor for enterprise AI infrastructure deploymentsIdeal Candidate Background3–8 years of experience in Solutions Architecture, Sales Engineering, Technical Consulting, or similar customer-facing technical rolesExperience selling developer tools or infrastructure products to engineering audiencesStrong customer-facing communication and demo skillsExperience working with APIs, developer platforms, or cloud infrastructure productsFamiliarity with LLM APIs and modern AI infrastructure ecosystemsStrong understanding of enterprise technical sales processesExperience supporting both pre-sales and onboarding conversationsComfortable explaining technical architecture to both engineers and business stakeholdersExperience operating in fast-moving startup environmentsStrong organization and pipeline management abilityComfortable handling multiple active opportunities simultaneouslyAbility to operate autonomously without heavy structure or hand-holdingTechnical fluency in Python, APIs, cloud infrastructure, or backend systemsStrong curiosity around AI infrastructure, LLM tooling, and developer ecosystemsStrong SignalsExperience selling AI infrastructure or developer toolingExperience with LLM APIs including OpenAI, Anthropic, Bedrock, or Vertex AIExperience working with engineering-heavy customersStrong technical demo and presentation abilityExperience supporting enterprise deployments and integrationsExperience at API-first or developer-first startupsFamiliarity with cloud infrastructure and deployment architectureExperience working with AI/ML engineering teamsExperience in high-volume technical sales environmentsOpen-source community exposure or developer relations experienceTechnical background in software engineering or infrastructureExperience translating technical requirements into customer solutionsStartup experience with high ownership expectationsExperience partnering closely with product and engineering teamsAbility to simplify highly technical concepts for non-technical stakeholdersCompensation and BenefitsBase salary: $150,000 – $220,000OTE: $200,000 – $275,000 uncappedCompetitive equity packageOpportunity to join one of the fastest-growing AI infrastructure companiesWork directly with leading enterprise AI customersHigh ownership and direct exposure to technical foundersExposure to cutting-edge AI infrastructure and LLM deployment challengesFast-paced startup environment with rapid career growth potentialStrong engineering and product cultureTop-tier medical, dental, vision, and FSA benefitsWhy JoinThis is an opportunity to work at the center of the AI infrastructure ecosystem as enterprises rapidly adopt LLM technologies.You'll work directly with some of the world's leading engineering organizations while helping define how AI systems are deployed, routed, and managed in production.If you enjoy technical customer conversations, AI infrastructure, developer tooling, and operating in fast-paced startup environments, this role offers exceptional exposure and growth.