Senior Developer Relations Manager — Security and AI Software

Posted 3 Hours Ago
Be an Early Applicant
Hiring Remotely in Santa Clara, CA, USA
In-Office or Remote
224K-357K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Leads technical developer relations and strategic software-account engagement for NVIDIA integrations across observability, security, and AI platforms. Builds demos, sample code, guides, APIs, SDK integrations, and technical enablement programs; advises developers and partners; drives adoption and co-innovation; delivers talks and workshops; coordinates with engineering, product, sales, legal, and marketing; and translates ecosystem trends and developer feedback into product and platform strategy.
Summary Generated by Built In

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.

What You'll Be Doing:

  • Develop and maintain deep technical expertise in software products (Splunk, AppDynamics, ThousandEyes, AI Defense). Serve as the trusted technical advisor, problem solver, and champion for developers in observability, security operations, and AI platforms. Partner with cross-functional teams to drive adoption of libraries within those technologies.

  • 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.

  • A minimum of 12+ years of overall professional experience in the technology industry in software engineering, developer relations, technical partnerships, solutions architecture, or product management, including 5+ years of direct hands-on experience in observability, data analytics, monitoring, or security software (e.g., Splunk, Datadog, Elastic, Grafana, or comparable enterprise platforms).

  • 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 working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous person with a real passion for technology, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 22, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Skills Required

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent experience
  • 12+ years of professional technology-industry experience in software engineering, developer relations, technical partnerships, solutions architecture, or product management
  • 5+ years of hands-on experience with observability, data analytics, monitoring, or security software
  • Experience leading, partnering, and scaling developer programs at major technology companies, with ISVs, or in relevant verticals
  • Technical depth in observability, security, and/or AI software, including logging and metrics pipelines, distributed tracing, SIEM/SOAR, cloud-native architectures, or AI security frameworks
  • Experience contributing to product integrations and software libraries
  • Experience leading technical collaborations with engineering and product teams, including architectural design, code reviews, technical mentorship, and technical talks or workshops
  • Ability to structure and implement complex technical engagements, negotiate requirements, prioritize issues, and collaborate with internal and external stakeholders
  • Ability to explain complex technical concepts to audiences ranging from engineers to executives
  • Experience defining, integrating, building, and jointly marketing solutions with strategic ISV partners
  • Hands-on experience building or optimizing observability and security solutions
  • Familiarity with Splunk, including SPL, data onboarding, or app development, or comparable software products
  • Experience with AI/ML security, LLM application security, or AI observability use cases
  • History of building and scaling developer communities and delivering technical enablement programs
  • Expertise capturing developer sentiment and market shifts and translating them into product strategy

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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