Senior Developer Relations Manager – Agentic Healthcare AI

About the job

Responsibilities

• Serve as a trusted technical advisor and champion for the developer ecosystem in Healthcare and Lifesciences, driving adoption of NVIDIA technologies.
• Accelerate critical workloads by demonstrating solutions that integrate the core NVIDIA stack into developer products, platforms, and pipelines.
• Advise on technical enablement resources like sample code, guides, and demonstration pipelines to highlight technology applications in solving real-world problems, including scientific reasoning, clinical development, ambient clinical documentation, and cross-specialty agent orchestration.
• Guide customers, partners, and startups through onboarding and integration with NVIDIA’s programs, fostering co-innovation.
• Map, track, and monitor the European healthcare and life sciences ecosystem, particularly around agentic AI, to identify growth opportunities and inform strategy.
• Collaborate with solution architects, engineering, product management, and marketing to drive developer engagement and optimize partner adoption.
• Engage with partner engineering teams and technical leaders to identify goals, solve technical challenges, and promote best practices.
• Represent and advocate for partner technical needs and feedback to NVIDIA’s internal product and engineering teams, influencing product roadmaps with field deployment insights.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
• Minimum of 8+ years of professional experience in software engineering, developer relations, or technical partnerships, with 5+ years of hands-on experience in the designated ecosystem.
• Proven experience leading and scaling developer programs at major technology companies, Healthcare and Lifesciences ISVs, or relevant verticals.
• Significant technical proficiency in Healthcare and Lifescience high-performance computing, cloud, AI/ML, and/or vertical-specific frameworks and libraries.
• Excellent interpersonal skills with the ability to distill complex technical concepts for diverse audiences.
• Experience leading technical collaborations with engineering and product teams, including architectural design, code reviews, and technical mentorship.
• Proven ability to structure and implement complex technical engagements, negotiate requirements, and prioritize issues.
• Hands-on experience building or optimizing life science or healthcare specific solutions (e.g., building and orchestrating AI scientists, clinical development workflows, voice pipelines for clinical understanding, embedding clinical documentation in LLMs).
• Familiarity with advanced computing, AI, and/or GPU acceleration platforms (e.g., BioNeMo Agent Toolkit, NVIDIA Agent Toolkit, Open Models, Agent Harnesses, Training methodologies, model deployment tooling, inference optimization).
• Track record in crafting and implementing systems for real-time processing and low-latency decision-making.
• Successful history of building and scaling developer communities and delivering impactful technical enablement programs.
• Deep knowledge of healthcare and clinical research data standards (e.g., HL7, FHIR, DICOM) and enterprise requirements (e.g., HIPAA, GDPR).

Benefits

• Competitive salaries
• Generous benefits package