Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 4
Change Management
Communication @ 9
Deep Learning @ 6
Leadership @ 9
Machine Learning
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA is seeking a Director of Technical Program Management to lead strategy and implementation for enterprise platforms, including employee experience, developer experience, business efficiency, and AI and data foundations. The role will lead a high-performing TPM team, establish the operating model for delivering large programs, and collaborate with senior IT, engineering, and business leaders with executive-level exposure.
Responsibilities
Organizational Leadership and Talent
- Build, lead, mentor, and scale a distributed TPM team.
- Develop and manage managers while setting high standards for ownership, velocity, technical depth, and proactive execution.
- Define career frameworks, leveling expectations, and hiring strategy for the TPM field within Enterprise & AI.
- Drive a culture of urgency, accountability, and continuous improvement.
Portfolio Strategy and Implementation
- Own end-to-end delivery of high-impact, cross-functional enterprise programs.
- Architect program plans, roadmaps, budgets, and resourcing models.
- Track achievements, critical metrics, and return on investment.
- Partner with engineering, product management, and business collaborators to define scope and sequence competing priorities.
- Surface risks, manage cross-program dependencies, and resolve complex issues.
AI-First Program Operations
- Lead enterprise-wide programs with an AI-first approach.
- Establish real-time, automated program transparency through dashboards and reporting powered by agentic workflows.
- Embed automation in intake, planning, risk detection, and reporting so leaders can focus on decisions rather than data gathering.
Governance, Reporting, and Executive Engagement
- Establish governance structures, including charters, steering committees, and decision rights.
- Maintain documentation that supports auditability and knowledge transfer.
- Deliver executive-level dashboards, performance metrics, and strategic insights.
- Build positive relationships across internal teams, external vendors, and executive leadership.
Change Management and Adoption
- Lead organizational readiness for new technologies and processes.
- Drive measurable adoption and ensure improvements continue after launch.
Operational Excellence
- Define and track metrics that improve execution quality, predictability, and efficiency.
- Identify bottlenecks, streamline workflows, and embed automation to improve efficiency.
Vendor Strategy and Partnership
- Manage strategic vendor relationships and contract negotiations.
- Evaluate, implement, and optimize technology solutions supporting business transformation.
Requirements
- BS or MS in Computer Science, Engineering, or a related field, or equivalent experience.
- 15+ years of overall experience, including 10+ years leading technical programs or teams and 5+ years managing and scaling TPM organizations in complex, matrixed environments.
- Strong technical depth across large-scale engineering, cloud and data platforms, enterprise efficiency technologies, and AI.
- Experience delivering AI-enabled software programs and using AI-powered developer tools.
- Proven ability to drive strategy and execution, align cross-functional stakeholders, manage risk, solve complex problems, and lead organizational change.
- Customer-focused, data-driven leadership approach with exceptional communication and presentation skills.
Preferred Qualifications
- Experience deploying AI agents and agentic platforms.
- Expertise in cloud migrations at scale.
- Ownership of critical production systems and operational excellence.
- Background in AI/ML systems, deep learning, or large-scale data-driven products.
Compensation and Benefits
- Base salary range: $272,000–$425,500 USD.
- Eligible for equity and benefits.
Applications will be accepted at least until September 14, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes and is committed to fostering an inclusive work environment and providing equal employment opportunities.
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