Developer Relations Manager, AI Platform and Tools

This is a fully remote position, open to applicants in California.

📋 Description

• Cultivate and uphold extensive technical knowledge in data platform engineering, acting as a reliable technical consultant for ISVs and startups operating within this domain.

• Comprehend partner workloads and enhance adoption by incorporating the NVIDIA software stack, including libraries, SDKs, NIMs, and blueprints, into partner products and data pipelines to deliver significant performance and scalability enhancements.

• Propel partner onboarding and co-innovation through the creation of technical enablement resources such as reference architectures, sample code, benchmarks, and workshop materials that expedite the deployment of production-ready solutions.

• Collaborate with partner technical leaders to guide best-practice integrations, address complex architectural issues, and establish structured collaboration rhythms that highlight emerging workflows and inform NVIDIA's product and platform strategy.

• Develop and enhance a strategic ecosystem of AI platform and tools partners, monitor ecosystem and technology trends, and pinpoint opportunities to amplify NVIDIA adoption and ecosystem expansion.

• Work collaboratively across functions with solution architects, engineering, product management, and accounts teams to enhance partner engagement and refine adoption strategies.

• Champion ecosystem technical needs by translating actionable feedback from field deployments into NVIDIA's product and engineering roadmaps.

⛳️ Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline, or equivalent professional experience.

• Over 5 years of experience in the technology sector in areas such as software engineering, developer relations, technical partnerships, solutions architecture, or product management, including a minimum of 3 years of practical experience in AI.

• Extensive domain knowledge in enterprise data platforms, covering data engineering and pipeline acceleration, post-training data preparation and curation, as well as data pipelines for RAG and semantic search.

• Demonstrated ability to lead intricate, multi-stakeholder technical engagements, align cross-functional priorities, and drive execution across internal teams and external partners.

• Preferred experience in architecting, integrating, and scaling joint solutions with strategic ISVs or ecosystem partners.

• Exceptional communication and stakeholder management abilities, with proficiency in articulating complex technical concepts to both engineering and executive audiences.

🏝️ Benefits

• Equity

• Benefits