Startup Solutions Architect, San Francisco Early Stage Startups

About the role

We're looking for a Solutions Architect who wants to be deeply embedded in San Francisco's startup ecosystem. This role involves working directly with early-stage founders across various industries, helping them make smart, pragmatic architectural decisions.

Responsibilities

• Work hands-on with early-stage founders to design and iterate on architectures that are practical for where they are today but built to scale as they grow
• Help startups navigate the fast-moving GenAI landscape, from selecting the right foundation models and AI services to building production-ready AI-powered products and services
• Guide founders through the real challenges of building GenAI applications, including managing model costs, latency, accuracy, safety, and AI best practices
• Support startups in building the right data foundations to power their AI products, whether that's vector databases, data pipelines, retrieval-augmented generation (RAG), or fine-tuning workflows
• Build and deepen relationships within San Francisco's startup ecosystem, including top accelerators like Y Combinator, incubators, and leading VC firms
• Be a voice for your founders, connecting their feedback and needs directly to product and engineering teams to help shape the tools and services being built for them
• Create technical content tailored to early-stage startups, such as blog posts, reference architectures, and sample code, that helps founders move faster and spend less time reinventing the wheel
• Share your expertise at startup events, demo days, and developer meetups across the San Francisco ecosystem to build trust and visibility in the community

Qualifications

• 2+ years of design, implementation, or consulting in applications and infrastructures experience
• 4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience