Drimva

Zyphra

Principal Solutions Architect

San Francisco · On-site · Principal · Full-time · Posted Mar 19, 2026

Education
PhD strongly preferred; exceptional candidates with a Master’s degree and demonstrated research depth will be considered.
Visa sponsorship
Relocation and immigration support on a case-by-case basis.

About the job

Own Zyphra’s technical go-to-market work for its AI models and agentic systems, guiding partners and customers from evaluation through integration while informing research and product priorities.

What you'll do

  • Advise partners and customers on Zyphra’s models, lead technical discovery, and support evaluation, deployment, expansion, and commercial conversion.
  • Create and deliver technical narratives, demos, evaluation frameworks, and reusable integration and deployment assets.
  • Synthesize customer and partner feedback for research and product teams, and represent Zyphra at industry and technical events.

What they ask for

  • Deep technical fluency in at least one relevant domain, such as large language models, multimodal AI, speech and audio synthesis, brain-computer interfaces, or agentic AI.
  • Ability to communicate technical concepts clearly and accurately to technical and executive audiences.
  • Experience in a customer-facing, partner-facing, or commercially oriented technical role, solutions architecture, applied research, developer relations, technical business development, or equivalent.
  • Strong commercial judgment, collaboration skills, and comfort working in ambiguous, fast-moving environments.

Nice to have

  • PhD in machine learning, computer science, neuroscience, or a closely related field; candidates with a Master’s degree and demonstrated research depth will also be considered.
  • Research contributions, model evaluation or production deployment experience, developer-facing GTM exposure, enterprise AI knowledge, or familiarity with AI tools such as Claude and Cursor.

Tools

Claude, Cursor

AI focus

Guide adoption and commercial positioning of language, vision, audio, brain-computer interface, and agentic AI systems; relay partner and customer intelligence to shape research and product priorities.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)