Principal Solutions Architect

Zyphra is an artificial intelligence company based in San Francisco, California.

The Role:

As a Principal Solutions Architect, you will serve as the primary technical authority in all partner and customer-facing engagements across Zyphra's full model portfolio and AI agent. You will articulate the technical value and differentiation of each of Zyphra's AI models and agentic systems, guide partners and customers from initial evaluation through successful integration, and act as the face of our research. This is not a support role. You will own the full technical GTM motion: building the narratives, converting strategic relationships, and supporting commercial outcomes.

You will also be a critical voice feeding partner and customer intelligence back into Zyphra's research and product roadmap. The best candidates for this role think like researchers, communicate like an industry expert and have the credibility to operate at the highest levels of technical and executive conversation.

You'll Work Across:

Serving as the primary technical advisor to strategic partners and customers across Zyphra's full AI model portfolio: including language, vision, audio, brain computer interface and agentic systems from initial discovery through deployment and expansion

Developing and delivering compelling technical narratives, demos, and evaluation frameworks that articulate the differentiation of each Zyphra model to audiences ranging from research teams and engineers to executives and business decision-makers

Leading technical discovery conversations with partners and customers to deeply understand their needs, use cases, and integration requirements, and translating those needs into actionable steps

Driving strategic partnership development and customer conversion, owning the technical relationship through the full commercial lifecycle

Synthesizing partner and customer intelligence into emerging use cases, unmet needs, deployment patterns, and competitive signals and delivering structured feedback that directly influences Zyphra's research and product priorities

Building and maintaining a library of reusable technical assets: model evaluation frameworks, fine-tuning guides, deployment architectures, API integration playbooks, and use-case demos that accelerate how partners and customers adopt Zyphra's models

Representing Zyphra at industry conferences, technical workshops, academic forums, and partner events to build credibility and expand Zyphra's technical presence

Collaborating closely with the GTM team, researchers, and engineers to align external technical positioning with internal capability and roadmap What We're Looking For / Requirements:

Deep technical fluency across one or more of Zyphra's core domains: large language models and model architecture, multimodal AI, speech and audio synthesis, brain-computer interfaces and neural signal processing, or agentic AI systems

A PhD in machine learning, computer science, neuroscience or a closely related field is strongly preferred; exceptional candidates with a Master's degree and demonstrated research depth will be considered

Demonstrated ability to communicate highly technical concepts clearly and compellingly to diverse audiences from key engineers to executives without sacrificing accuracy or depth

Prior experience in a customer-facing, partner-facing, or commercially-oriented technical role, solutions architecture, applied research, developer relations, technical business development, or equivalent

Strong instincts for identifying where AI technology creates differentiated commercial value, and the ability to build a persuasive case around that value in competitive contexts

Comfort operating in ambiguous, fast-moving environments where the product is evolving, the market is forming, and the playbook is still being written

Excellent collaboration skills across research, engineering, and GTM teams Qualifications / Additional Skills:

Research publications or contributions in AI, ML, audio synthesis, BCI, or related fields that demonstrate technical credibility with external scientific and engineering communities

Familiarity with model evaluation frameworks, benchmarking methodologies, and the ability to design and run rigorous technical assessments for partner or customer use cases

Experience developing integration architectures or deployment strategies for AI models in production environments, including API-based and on-premises configurations

Background in or exposure to developer-facing GTM motions: open-source community engagement, developer advocacy, or technical content creation

Understanding of enterprise AI adoption patterns, including the technical, organizational, and procurement dynamics that shape how large organizations evaluate and deploy AI systems

Comfort using AI tools (Claude, Cursor, etc.) to accelerate your own research, documentation, and technical communication work Why Work at Zyphra:

Zyphra is building at the frontier of AI and this role sits at the center of how that work gets seen

You will build and help define the function, not inherit it; there is no legacy playbook to maintain

We move with the urgency of a startup and the rigor of a research lab, speed and quality are not in tension here, they're expected together

You will work directly alongside researchers, engineers, and founders, not through layers of management, which means your work gets seen, challenged, and improved fast

We believe GTM can be a demonstration of what AI can do; you will be empowered to prove that Benefits and Perks:

Comprehensive medical, dental, vision, and FSA plans

Competitive compensation and 401(k) plan

Relocation and immigration support on a case-by-case basis

In-office snacks and meals provided

Unlimited PTO and company holidays

In-person team in San Francisco with a collaborative, high-energy environment