About Blaize
Blaize (Nasdaq: BZAI) is a leader in programmable, energy-efficient edge AI computing, building the AI platform that brings intelligence from the cloud to the real world. Our technology powers mission-critical applications across smart cities, industrial automation, healthcare, telecommunications, retail, logistics, automotive, and defense.
We are at an exciting inflection point, expanding from breakthrough edge AI technology into a full-stack AI platform serving enterprises, governments, and cloud service providers around the globe. By combining innovative computing architecture with scalable AI solutions, we are helping organizations deploy AI where decisions matter most.
Headquartered in California with a global presence across North America, Europe, the Middle East, and Asia, Blaize offers the opportunity to work alongside talented innovators who are shaping the future of AI in the real world.
Learn more at www.blaize.com or follow us on LinkedIn at @blaizeinc.
This role serves as the bridge between Sales, Customers, Product, Engineering, Architecture, and Solutions teams, helping translate customer opportunities into structured technical engagements while improving platform readiness, customer alignment, deployment planning, and ecosystem adoption.
The ideal candidate combines strong technical understanding with customer engagement experience, platform enablement expertise, and cross-functional coordination skills.
- Lead technical discovery and opportunity qualification activities for strategic customer and partner engagements.
- Translate customer and ecosystem requirements into structured technical and product inputs.
- Lead customer workshops, technical reviews, architecture discussions, and deployment planning activities.
- Build alignment with Sales, Marketing, GTM, and Solutions teams around customer opportunities and platform positioning.
- Drive structured GTM readiness inputs for platform capabilities and AI services.
- Help build customer-facing technical collateral and capability positioning materials.
- Work closely with Sales teams to gather the necessary technical, commercial, operational, organizational, and strategic inputs required for opportunity assessment and engineering prioritization discussions.
- Help structure and normalize engineering asks emerging from customer opportunities.
- Improve visibility into technical scope, dependencies, implementation assumptions, technical risks and engineering effort requirements
- Support prioritization discussions by providing customer and deployment context.
- Drive alignment across Product Management, Engineering, Architecture, PMO, Sales, Marketing, GTM, and Solutions.
- Coordinate customer-driven readiness reviews, technical alignment discussions, and deployment planning activities.
- Support platform adoption and technical onboarding activities for strategic customers and partners.
- Help identify gaps impacting deployment readiness and customer adoption.
- Improve technical feedback loops between customer engagements and internal platform teams.
- Strong background in AI infrastructure, AI systems, accelerated computing, or semiconductor platforms.
- Experience working across Product, Engineering, Sales, Marketing, and customer-facing technical engagements.
- Strong understanding of AI inference systems, AI services, runtime/platform architectures, and deployment infrastructure.
- Strong communication and organizational alignment skills.
- Ability to independently lead complex technical customer and partner engagements.
- Experience with AI accelerator platforms or edge-to-cloud AI systems.
- Experience with AI model deployment and inference optimization.
- Familiarity with AI services and multimodal AI workflows.
- Experience supporting GTM and customer enablement activities.
• Better customer opportunity qualification and alignment
• Reduced engineering fragmentation from unstructured requests
• Improved visibility into technical scope and execution risks
• Faster conversion of customer opportunities into deployable platform capabilities
• Improved customer technical engagement quality and platform adoption
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