Accelerate critical workloads by demonstrating and integrating the NVIDIA software stack (APIs, SDKs, data integrations, apps, and reference architectures) into partner products, platforms, and pipelines.
Guide partners and developers through onboarding and integration by providing technical resources-such as sample code, guides, and demo pipelines-to accelerate adoption across NVIDIA's platform and foster co-innovation of next-generation solutions.
Map and monitor the developer ecosystem to identify growth opportunities, collaborating with engineering, product management, and marketing to inform roadmaps and optimize partner adoption strategies.
Engage partner technical leaders to drive best-practice integrations and resolve technical challenges, using regular syncs to track adoption, surface new workflows, and channel critical field insights back to NVIDIA product teams.
Grow and activate developer communities around accelerated software - representing co-engineered products at conferences, meetups, and hackathons and delivering technical talks and hands-on workshops.
Drive API, SDK, and integration adoption across Splunk and the broader software ecosystem, championing the developer experience end-to-end.
Surface developer sentiment and ecosystem trends, translating them into actionable intelligence that informs product direction and platform strategy.
What We Need to See:
Bachelor's or Master's degree or equivalent experience in Computer Science, Engineering, or a related field.
Proven experience leading, partnering, and scaling developer programs at major technology companies, with ISVs, or within relevant verticals.
Significant technical depth in observability, security, and/or AI software - including logging and metrics pipelines, distributed tracing, SIEM/SOAR, cloud-native architectures, and/or AI security frameworks - and contributions to product integrations and software libraries.
Experience leading technical collaborations with engineering and product teams - including architectural design, code reviews, technical mentorship, and delivery of technical talks or workshops.
Proven ability to structure and implement complex technical engagements, negotiate requirements, prioritize issues, and collaborate with internal or external collaborators (across sales, legal, product, or marketing teams as needed).
Skilled at distilling complex technical concepts for audiences from engineers to executives, with end-to-end experience in defining, integrating, building, and jointly marketing solutions with strategic ISV partners.
Ways to Stand Out from the Crowd:
Hands-on experience building or optimizing observability and security solutions (e.g., data ingestion pipelines, SPL queries and dashboards, detection content, distributed tracing instrumentation).
Familiarity with the Splunk platform (SPL, data onboarding, app development) or other software products (AppDynamics, ThousandEyes, Cisco AI Defense).
Experience with AI/ML security, LLM application security, or AI observability use cases.
Successful history of building and scaling developer communities and delivering impactful technical enablement programs.
Expertise in building frameworks to capture developer sentiment and market shifts, translating real-time ecosystem dynamics into actionable intelligence for product strategy and rationalization.
With competitive salaries and a generous benefits package, we are widely considered to be one of the world's most desirable employers! We have some of the most forward-thinking and hardworking people in the world worki
Additional Information
We are seeking a highly technical and strategic Senior Developer Relations Manager to join our team, with a focus on engaging developers within a key named software account. In this pivotal role, you will work directly with developers, SREs, and security and platform practitioners to drive integration of NVIDIA libraries, frameworks and models within Splunk, AppDynamics, ThousandEyes, and AI Defense. The ideal candidate combines deep technical knowledge with a passion for developer advocacy. They explain how the technology addresses complex, real-world challenges in observability, security, and AI.
Nvidia · Santa Clara, CA