Solutions Architect / Sales Engineer

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

Company Description

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

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.