Top 280 Vp it Jobs in San Jose Ca

VP of IT Business Applications (GTM & NPI)
Palo Alto Networks —Santa Clara, CA
- $399,000 a year
- Full-time
- Computer Science
- Office
- Databases
VP of Software Engineering
CYBER FORZA —Santa Clara, CA
- Email
- Computer Science
- Bachelor of Science
- Office
Engineering Manager, DRIVE OS Communication Infrastructure
NVIDIA —Santa Clara, CA
- $224,000 - $356,500 a year
- Full-time
- Bachelor of Science
- Mentoring
- Senior level
Director, AI Enablement
NVIDIA —Santa Clara, CA
- $292,000 - $442,750 a year
- Full-time
- Hybrid work
- Computer Science
- Senior level
- Electrical Engineering
Senior iOS Engineering Manager - AI Adoption
Apple —Sunnyvale, CA
- $267,800 - $401,700 a year
- Computer science
- Management
- Computer Science
- Employee stock purchase plan
- Health insurance
Director, Information Technology
The County of Santa Clara —Santa Clara County, CA
- $285,596.74 - $347,147.78 a year
- Online Application
- Computer Science
- Bachelor's degree
- Mentoring
- Paid holidays
- Disability insurance
VP, Product Management, A.I. Solutions
Fiserv —Sunnyvale, CA
- $220,000 - $330,000 a year
- Full-time
- Management
- Office
- Product management
Senior Director, IT San Carlos
Nautilus Bio —San Carlos, CA
- $193,000 - $277,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- ERP systems
- Health insurance
- Dental insurance
Director, IT Product Management Licensing, Entitlement, AI
Palo Alto Networks —Santa Clara, CA
- $223,000 - $306,500 a year
- Full-time
- Computer Science
- 11+ years
- Office
13d
Director of Digital Engineering - Web Platforms
Palo Alto Networks —Santa Clara, CA
- $224,000 - $318,000 a year
- Full-time
- Computer Science
- 11+ years
- Office
Senior Director Information Development
Workday —Pleasanton, CA
- $281,600 - $422,400 a year
- Full-time
- Computer science
- Computer Science
- Bachelor of Science
- Flexible schedule
Director – PDK Architecture
Intel —Santa Clara, CA
- $233,990 - $330,340 a year
- Full-time
- Office
- Doctor of Philosophy
- Senior level
- Health insurance
VP, Product Management, Cloud
NetApp —San Jose, CA
- $314,500 - $407,000 a year
- Full-time
- Computer Science
- 11+ years
- Bachelor's degree
- Employee stock purchase plan
- Health insurance
4d
Director of IT
BillionToOne —Menlo Park, CA
- $214,369 - $267,962 a year
- Hybrid work
- Computer Science
- DevOps
- HIPAA
- Paid parental leave
- Paid time off
VP of Engineering, Storage Protocols
NetApp —San Jose, CA
- $323,000 - $418,000 a year
- Full-time
- Remote
- Computer Science
- Master's degree
- Product management
- Employee stock purchase plan
- Health insurance
1d
Software Engineering Manager, Health
Apple —Sunnyvale, CA
- $237,600 - $401,700 a year
- Computer science
- Computer Science
- Software troubleshooting
- Employee stock purchase plan
- Health insurance
Chip Lead / ASIC Director
Advanced Micro Devices, Inc —San Jose, CA
- Hybrid work
- Master's degree
- Bachelor's degree
- Doctor of Philosophy
Director of Engineering, AiDP Data Services
Apple —Sunnyvale, CA
- $311,100 - $496,900 a year
- Azure
- Computer Science
- AWS
- Employee stock purchase plan
- Health insurance
VP, Product Management, Services
Fiserv —Sunnyvale, CA
- $220,000 - $330,000 a year
- Full-time
- Hospitality
- Office
- Product management
(USA) Director, Technology Operations
Walmart —Sunnyvale, CA
- $143,000 - $286,000 a year
- Computer Science
- High school
- Office
- Paid jury duty
- Disability insurance
3d

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VP of IT Business Applications (GTM & NPI)

Palo Alto Networks -
Santa Clara, CA

Apply Now

Job Details

Full-time
$399,000 a year

Benefits

Qualifications

AI models
Software engineering
Enterprise software
Generative models
AI platforms (beyond public GPTs)
Enterprise software systems development
Digital transformation
Salesforce Cloud
Machine learning cloud services
Technology management
Model deployment
Systems engineering
Sales management systems proficiency
Experience with SaaS (as product category for technical sales engineers)
CRM system proficiency
AI-driven automation
Sales automation technologies
MLOps
Generative AI
Senior leadership

Full Job Description

Santa Clara, California, United States of America Product Engineering Ref ID: JR-019529

Our Mission

At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place.

Who We Are

In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us!

We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes.

Job Summary

Your Career

We are seeking a visionary, technically elite VP of IT Business Applications (GTM & NPI) to lead the AI-driven transformation of the platforms powering Palo Alto Networks’ multi-billion-dollar revenue engine. This executive leadership role owns the end-to-end product vision, technical architecture, and delivery of intelligent, agentic systems that redefine Sales, Partner, and New Product Introduction (NPI) capabilities through AI-first engineering.

Your Impact

Strategic Vision & AI-Native Technical Roadmap

Architect and own the long-term technical vision and multi-year roadmap for embedding advanced AI across the entire Go-To-Market (GTM) stack. Translate corporate strategy into a rigorously prioritized portfolio of AI initiatives, each grounded in measurable business impact, robust engineering delivery frameworks, and production-grade AI/ML standards.

AI-Led Reimagination of Sales & Partner Experiences
- first-principles thinking to redesign the Order-to-Cash (O2C) / Quote-to-Cash (Q2C) workflow as a fully AI-native, agentic system.
  - Design and champion agentic AI experiences for sellers and partners — moving beyond traditional SaaS UIs to autonomous, multi-agent orchestration that handles conversational quoting, intelligent deal orchestration, automated prospecting, and real-time decision support.
  - Lead ground-level architectural discussions on AI-native seller workflows, including LLM-driven reasoning, tool-calling agents, memory systems, and human-in-the-loop guardrails.
  - Champion an AI-first engineering mindset: simplify legacy processes and re-engineer them with Generative AI, retrieval-augmented generation (RAG), and multi-agent systems to eliminate friction and dramatically accelerate lead-to-cash velocity.
Solution Design & AI Architecture Leadership
- Bring a hands-on solution architect and systems designer mindset (architect first, not just implementer).
  - Define scalable AI system architectures for GTM workflows that leverage LLMs, agentic frameworks, vector databases, orchestration layers, and real-time inference.
  - Prototype, validate, and iterate on high-impact AI concepts through rapid proof-of-concept engineering.
  - Own the full AI SDLC across GTM platforms.
  - Drive user-centric AI innovation in seller and partner portals, ruthlessly removing friction through intelligent automation, predictive insights, and hyper-personalized experiences.
NPI & Q2C AI Engineering
- Lead the technical strategy and AI architecture for New Product Introduction (NPI), building repeatable, intelligent machinery that enables seamless CPQ readiness, billing configuration, revenue recognition, and pricing intelligence from Day 1.
  - Partner with Product, Finance, and Engineering executives to design agentic NPI workflows that balance speed-to-market with revenue integrity.
  - Redesign core Q2C processes from first principles using AI-native data flows, automated configuration engines, and intelligent validation agents.
Platform Ownership & Delivery Excellence
- Translate complex business strategies into precise technical requirements, scalable AI architectures, and production delivery plans.
- Establish rigorous cross-functional governance for AI initiatives, including backlog prioritization, risk management, model governance, and responsible AI practices.
- Maintain platform health by balancing innovation velocity with foundational stability, scalability, and technical debt reduction across Salesforce, ERP integrations, CPQ engines, and custom AI layers.
- Lead, mentor, and scale a high-performing global team of AI engineers, solution architects, ML specialists, data engineers, and business system analysts. Operate with a player-coach mindset — deeply engaged in architecture and technical direction while building organizational AI engineering excellence.

Qualifications

Your Experience

20+ years of progressive leadership in enterprise technology with at least 5+ years in a VP or equivalent executive role at a high-growth, large-scale tech or SaaS company.
Deep AI Engineering expertise: Demonstrated success leading the design, development, and operation of production-grade AI/ML systems, including generative AI applications, agentic architectures, and large-scale automation.
Strong GTM domain knowledge combined with hands-on experience in CRM (Salesforce), PRM, advanced CPQ, billing systems, and complex revenue architectures.
Proven track record transforming seller/partner experiences through agentic AI, intelligent automation, and data-driven platforms.
Experience leading large-scale digital and AI transformation programs with measurable impact on revenue operations.
Technical credibility to influence and partner with C-suite executives, Product Engineering, and AI research teams.
Hands-on familiarity with modern AI tech stack (LLMs, agent frameworks, GCP or equivalent cloud, MLOps, vector search, real-time systems) alongside core GTM platforms (Salesforce, Clari, Varicent, etc.).
Bachelor’s degree in Computer Science, Engineering, or related field; advanced degree (MS/PhD) or MBA strongly preferred.

Preferred Qualifications

The Dual-Mindset: Proven ability to drive disruptive AI innovation while maintaining the reliability, compliance, and stability required for mission-critical revenue systems.
Strong product engineering rigor - data-driven decision making, experimentation frameworks, system health monitoring, and business value quantification.
Deep experience with hybrid hardware/software/SaaS go-to-market models and the technical complexities of NPI in such environments.

Compensation Disclosure

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/com-missioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus.

$399,000.00/yr

Our Commitment

We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together.

We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at [email protected].

Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.

All your information will be kept confidential according to EEO guidelines.

Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.

Apply Now

Refine Your Search

vp it jobs in san jose ca

VP of IT Business Applications (GTM & NPI)

VP of Software Engineering

Engineering Manager, DRIVE OS Communication Infrastructure

Director, AI Enablement

Senior iOS Engineering Manager - AI Adoption

Director, Information Technology

VP, Product Management, A.I. Solutions

Senior Director, IT San Carlos

Director, IT Product Management Licensing, Entitlement, AI

Director of Digital Engineering - Web Platforms

Senior Director Information Development

Director – PDK Architecture

VP, Product Management, Cloud

Director of IT

VP of Engineering, Storage Protocols

Software Engineering Manager, Health

Chip Lead / ASIC Director

Director of Engineering, AiDP Data Services

VP, Product Management, Services

(USA) Director, Technology Operations

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