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.
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
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
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
