Director, Marketing Platform Engineering and Personalization

Posted 25 Days Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
216K-345K Annually
Expert/Leader
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead a global platform engineering team to define strategy and deliver marketing platforms (CDP, automation, personalization, consent, pipelines). Drive data architecture, scalable pipelines, personalization across channels, observability, compliance, and vendor relationships while partnering with Legal, Privacy, and Security.
Summary Generated by Built In

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

This leader will set strategy and drive execution across a portfolio of platforms, manage a team of experienced engineers and technical program managers, oversee vendor relationships, and ensure platform operations meet the highest standards of security, compliance, and reliability. The opportunity isn't to build from scratch — it's to focus highly skilled people on the right problems, maintain high morale, and drive an integrated operating model that makes NVIDIA Marketing faster, smarter, and more impactful.

What You'll Be Doing:

  • Lead a global platform engineering organization - setting direction, coaching talent, and building a culture where experienced engineers stay focused, energized, and doing their best work.

  • Lead the strategy, roadmap, and end-to-end delivery of the digital marketing platform portfolio, including customer data platforms, marketing automation, personalization, consent management, and pipeline infrastructure.

  • Lead personalization and decisioning capabilities across web, email, events, developer journeys, and content recommendations, with a focus on measurable customer and business outcomes.

  • Scale self-service data and agentic analytics experiences, so marketers can access trusted campaign, audience, event, and account insights faster.

  • Build and modernize scalable data pipelines that ingest, process, and unify customer, behavioral, consent, and audience data across marketing, sales, and platform ecosystems.

  • Partner with Legal, Privacy, and Security to maintain consistent data governance, privacy, and compliance standards across all platforms.

  • Set standards for platform reliability, observability, incident response, release management, and deployment.

What We Need to See:

  • A bachelor’s or master’s degree in a relevant technical field, or equivalent experience.

  • 12+ overall years in software or platform engineering, including 5+ years leading managers, senior engineers, and external partners.

  • Experience developing technical leaders and guiding distributed teams through organizational and technology change.

  • Deep expertise in microservices and distributed systems architecture — able to set technical standards, design robust API-first platform services, and guide complex architectural tradeoffs.

  • Strong command of modern data architecture: cloud-native production environments, event pipelines, database design (relational and NoSQL), data quality, governance, observability, and production operations.

  • Experience building or operating customer data, marketing automation, personalization, analytics, or AI-enabled platforms at enterprise scale.

  • A record of delivering complex programs across a matrixed organization while balancing priorities, risks, and team capacity.

  • Clear communication skills and the ability to explain technical decisions in practical business terms.

Ways to Stand Out from the crowd:

  • Experience with agentic marketing workflows, LLM automation, audience segmentation, or AI-assisted campaign operations.

  • Deep familiarity with customer data platform architecture: audience activation pipelines, identity resolution, consent enforcement, downstream system synchronization, and data quality governance

  • Background in digital marketing operations or marketing technology at a global technology company, with an understanding of how platform decisions drive customer acquisition, personalization, and campaign performance.

  • Experience evaluating platform investments through build-or-buy, cost, and business-value analysis.

  • Interest in NVIDIA technologies, accelerated computing, or AI infrastructure.

NVIDIA is widely considered to be one of the technology world’s most desirable employers! We have some of the most forward-thinking 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 216,000 USD - 345,000 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 16, 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 a relevant technical field, or equivalent experience
  • 12+ years in software or platform engineering, including 5+ years leading managers and senior engineers
  • Experience developing technical leaders and guiding distributed teams through organizational and technology change
  • Deep expertise in microservices and distributed systems architecture and API-first platform services
  • Strong command of modern data architecture: cloud-native production environments, event pipelines, relational and NoSQL database design, data quality, governance, observability, and production operations
  • Experience building or operating customer data, marketing automation, personalization, analytics, or AI-enabled platforms at enterprise scale
  • Record of delivering complex programs across a matrixed organization while balancing priorities, risks, and team capacity
  • Clear communication skills and ability to explain technical decisions in business terms
  • Experience with agentic marketing workflows, LLM automation, audience segmentation, or AI-assisted campaign operations
  • Deep familiarity with customer data platform architecture including audience activation, identity resolution, consent enforcement, and data quality governance
  • Background in digital marketing operations or marketing technology at a global technology company
  • Experience evaluating platform investments through build-or-buy, cost, and business-value analysis
  • Interest in NVIDIA technologies, accelerated computing, or AI infrastructure

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.

NVIDIA Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

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.”

Similar Jobs

Snap Inc. Logo Snap Inc.

Ad Review & Integrity Specialist

Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
Hybrid
Los Angeles, CA, USA
5000 Employees
25-43 Hourly

Wipfli Logo Wipfli

Senior Accountant

Cloud • Fintech • Software • Business Intelligence • Consulting • Financial Services
Remote or Hybrid
United States
2900 Employees
73K-98K Annually

Wipfli Logo Wipfli

Senior Specialist, Lead Support & Marketing Data

Cloud • Fintech • Software • Business Intelligence • Consulting • Financial Services
Remote or Hybrid
United States
2900 Employees
66K-89K Annually

Idler Logo Idler

Special Projects Operator

Artificial Intelligence
In-Office
San Francisco, CA, USA
6 Employees

Similar Companies Hiring

LTX Thumbnail
Robotics • Conversational AI • Generative AI
Jerusalem, Israel
200 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees
Revel.io Thumbnail
Aerospace • Hardware • Robotics • Software
US
50 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account