Director Product Management – Technical , AI transformation
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Lead a distributed technical program management team driving enterprise platform delivery across employee experience, developer tools, business efficiency, and AI foundations. This director-level role requires 15+ years of experience with 10+ years leading technical programs and 5+ years scaling TPM organizations in complex environments. You'll establish operating models, manage cross-functional dependencies, embed AI-powered automation in program operations, and report to executive leadership. Technical depth in large-scale engineering, cloud platforms, and AI systems is essential. Based on location and experience, salary ranges from $272,000 to $425,500 annually.
Written from this posting by Neural Jobs AI. The full description is below.
NVIDIA is looking for a Director of Technical Program Management to lead strategy and implementation for our enterprise platforms. These include employee experience, developer experience, business efficiency, and AI and data foundations. This position provides an outstanding chance to pioneer AI innovation and reshape program management in the AI era. You will head 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.
What You’ll Be Doing:
ORGANIZATIONAL LEADERSHIP AND TALENT
Build, lead, mentor, and scale a distributed TPM team. Develop and manage managers, 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 with disciplined tracking of achievements, critical metrics, and return on investment.
Partner with engineering, product management, and business collaborators to define scope and sequence competing priorities. Proactively 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 to focus leaders on decisions rather than data gathering.
GOVERNANCE, REPORTING, AND EXECUTIVE ENGAGEMENT
Establish durable 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. Nurture 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 stick 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.
What We Need To See:
BS/MS in Computer Science, Engineering, or a related field—or equivalent experience.
15+ overall years of 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/data platforms, enterprise efficiency technologies, and AI; including 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 leader with exceptional communication and presentation skills.
Ways To Stand Out From The Crowd:
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.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most intelligent and hardworking people in the world working for us. If you're creative and autonomous, 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 272,000 USD - 425,500 USD.You will also be eligible for equity and benefits.
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.Here is what this employer asked for. Sign in and we will fill in your half.
NVIDIA builds the GPUs and the CUDA software stack that most modern AI is trained and served on, along with its own research in graphics, robotics and foundation models.
230K – 295K
Our estimate — this employer did not publish a salaryOur estimate, not the employer’s. Worked out from the middle half of 30 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.
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