Solutions Architect / Sales Engineer

• Location: San Francisco, CA
• Company Stage of Funding: Seed / Early Growth
• Office Type: On-site (5 days/week in SF)
• Salary: $150,000 – $220,000 Base
• OTE: $200,000 – $275,000 Uncapped
• Equity: Competitive
• Visa: Open to transfers, no new visas

• Our 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 Do

• Run technical demos and customer-facing sales calls alongside Account Executives
• Serve as the primary technical expert during enterprise customer conversations
• Explain complex AI infrastructure and architecture concepts clearly to engineering teams
• Scope customer integrations and deployment architectures
• Help enterprise customers evaluate and adopt LiteLLM in production environments
• Support technical proof-of-concepts and production onboarding workflows
• Manage ~50 active opportunities simultaneously across fast-moving sales cycles
• Partner closely with engineering and product teams to relay customer feedback
• Translate technical customer pain points into actionable product insights
• Guide customers through LLM provider integrations and AI gateway deployments
• Work directly with developers, infrastructure teams, platform engineers, and AI engineering teams
• Help customers optimize routing, reliability, observability, and deployment architecture
• Operate in a high-volume, high-ownership startup sales environment
• Balance technical depth with strong commercial instincts
• Become a trusted technical advisor for enterprise AI infrastructure deployments

Ideal Candidate Background

• 3–8 years of experience in Solutions Architecture, Sales Engineering, Technical Consulting, or similar customer-facing technical roles
• Experience selling developer tools or infrastructure products to engineering audiences
• Strong customer-facing communication and demo skills
• Experience working with APIs, developer platforms, or cloud infrastructure products
• Familiarity with LLM APIs and modern AI infrastructure ecosystems
• Strong understanding of enterprise technical sales processes
• Experience supporting both pre-sales and onboarding conversations
• Comfortable explaining technical architecture to both engineers and business stakeholders
• Experience operating in fast-moving startup environments
• Strong organization and pipeline management ability
• Comfortable handling multiple active opportunities simultaneously
• Ability to operate autonomously without heavy structure or hand-holding
• Technical fluency in Python, APIs, cloud infrastructure, or backend systems
• Strong curiosity around AI infrastructure, LLM tooling, and developer ecosystems

Strong Signals

• Experience selling AI infrastructure or developer tooling
• Experience with LLM APIs including OpenAI, Anthropic, Bedrock, or Vertex AI
• Experience working with engineering-heavy customers
• Strong technical demo and presentation ability
• Experience supporting enterprise deployments and integrations
• Experience at API-first or developer-first startups
• Familiarity with cloud infrastructure and deployment architecture
• Experience working with AI/ML engineering teams
• Experience in high-volume technical sales environments
• Open-source community exposure or developer relations experience
• Technical background in software engineering or infrastructure
• Experience translating technical requirements into customer solutions
• Startup experience with high ownership expectations
• Experience partnering closely with product and engineering teams
• Ability to simplify highly technical concepts for non-technical stakeholders

Compensation and Benefits

• Base salary: $150,000 – $220,000
• OTE: $200,000 – $275,000 uncapped
• Competitive equity package
• Opportunity to join one of the fastest-growing AI infrastructure companies
• Work directly with leading enterprise AI customers
• High ownership and direct exposure to technical founders
• Exposure to cutting-edge AI infrastructure and LLM deployment challenges
• Fast-paced startup environment with rapid career growth potential
• Strong engineering and product culture
• Top-tier medical, dental, vision, and FSA benefits

Why Join

• This 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.