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Essential Responsibilities:
Expected Qualifications:
Additional Responsibilities & Preferred Qualifications
WhereExperience Strategydefines theand
This is not just a UX strategy or systems design role—it’s both. You will lead the practice of Experience Architecture: the structuring of journeys, flows, navigation, taxonomy, and interaction models into a unified, extensible system. Your work will ensure that every interaction fits together to form a complete, coherent whole—one that reflects our brand, reinforces behavior, and reduces experience entropy as we scale.
Key Responsibilities
Architect the Experience Ecosystem
Lead Horizontal Experience Strategy
Architect critical cross-product journeys (e.g., Account, Wallet, Rewards) that unify the customer experience across silos.
Own and Govern Taxonomy & Information Architecture
Partner with Content Design, Product Design, and Engineering to establish scalable IA systems and navigational models.
Advance Service Design & System Mapping
Connect frontstage flows to backstage systems and operational logic; drive service blueprinting across the product lifecycle.
Drive CX Improvements
Identify and resolve systemic customer experience issues across surfaces, workflows, and product areas through architectural interventions—not just interface refinements.
Partner with Design Systems
Collaborate to encode architectural logic into reusable components and interaction frameworks, ensuring real behavior is reflected—not just UI consistency.
Transform Experience Delivery
Work with Product Ops and PMO to embed architectural checkpoints into planning, roadmapping, and SDLCprocesses—acceleratingdelivery while protecting experience integrity.
Qualifications
12+ years of experience in experience design, UX architecture, or systems design, with a strong portfolio demonstrating strategic impact.
Proven leadership in structuring complex digital ecosystems and scaling design systems.
Deep expertise in journey mapping, taxonomy design, interaction modeling, and platform strategy.
Exceptional communication and storytelling skills, with the ability to influence across disciplines and levels.
Experience working in large-scale, matrixed organizations with a focus on platform thinking and design maturity.
Preferred Skills
Experience with enterprise platforms, developer tools, or internal design infrastructure.
Familiarity with accessibility standards, localization, and inclusive design practices.
Strategic mindset with a bias for action and a passion for enabling great design at scale.
Travel Percent:
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .
The US national annual pay range for this role is $188,000 to $323,950Any general requests for consideration of your skills, please
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Being the cybersecurity partner of choice, protecting our digital way of life.
Your Impact
Your Experience
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/commissioned roles) is expected to be between $183000/YR - $252000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found .
All your information will be kept confidential according to EEO guidelines.

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Being the cybersecurity partner of choice, protecting our digital way of life.
Your Impact
Lead Cross-Functional Integration: Serve as the primary driver and coordinator for cross-functional integration activities across core business units, including Sales, Engineering, Product, HR, Legal, and Go-to-Market (GTM), in addition to Finance.
Integration Process Refinement: Support the ongoing development, standardization, and implementation of the comprehensive M&A integration playbook and best practices for the IMO.
Execution Management: Drive integration workstreams and manage execution against the overall deal timeline, proactively identifying dependencies and connecting functional leads across the organization.
Risk & Issue Mitigation: Proactively identify, analyze, and manage potential integration issues and risk areas, providing clear, concise escalation paths and mitigation strategies to senior leadership.
Performance Tracking & Reporting: Track key integration metrics (KPIs) and post-acquisition performance, preparing regular, data-driven reports for presentation to the Corporate Development team and Executive Leadership.
Change Management: Coordinate and execute change management activities across the acquired company and Palo Alto Networks functions to ensure successful adoption of new processes, systems, and organizational structures.
Your Experience
6-10 years of related professional experience with strong career progression, including direct experience managing or supporting full-cycle M&A integration activities at a public, high-growth technology company or a top-tier consulting firm.
Bachelor's degree in Business, Finance, Economics, or a related field. An MBA or equivalent advanced experience is preferred.
Cross-Functional Acumen: Proven capability to quickly grasp the big picture of a new business model while understanding the execution details across diverse functions (e.g., product roadmaps, sales cycles, HR policies).
Financial Acumen: Understanding financial modeling, with background in software, SaaS, appliance, and/or other technology industry business models. Able to understand and translate financial models into operational plans.
Systems Proficiency (Plus): Experience with enterprise financial and business intelligence systems (e.g., SAP, Oracle, Workday, Tableau, or other BI tools) is a plus.
Leadership & Communication: Exceptional team player with highly effective written and verbal communication skills and high Emotional Intelligence (EQ). Must be comfortable working proactively and independently to build and drive action plans.
Adaptability: Possess intellectual curiosity and the willingness and ability to adapt to the rapid business and organizational demands inherent in a high-volume M&A environment.
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/commissioned roles) is expected to be between $158000 - $255000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found .
All your information will be kept confidential according to EEO guidelines.

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Key Responsibilities:
Required Experience:
Weoffer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here:
Annual Salary Range for jobs which could be performed in the US:
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Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
Gross pay salary$170,000—$210,000 USD
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What you’ll be doing:
Understand, analyze, profile, and optimize AI training workloads on state-of-the-art hardware and software platforms.
Guide development of future generations of artificial intelligence accelerators and systems.
Develop detailed performance models and simulator infrastructure for computing systems accelerating AI training, and implement and evaluate hardware feature proposals.
Collaborate across the company to guide the direction of machine learning at NVIDIA; spanning teams from hardware to software and research to production.
Drive HW/SW co-design of NVIDIA’s full deep learning platform stack, from silicon to DL frameworks.
What we need to see:
PhD in CS, EE or CSEE and 3+ years; or MS (or equivalent experience) and 6+ years of relevant work experience.
Strong background in computer architecture, with a proven track record of architecting features in shipping high-performance processors.
Background in artificial intelligence and large language models, in particular training algorithms and workloads.
Experience analyzing and tuning application performance on state-of-the-art hardware.
Experience with processor and system-level performance modelling, simulation, and evaluation before silicon exists.
Programming skills in C++ and Python.
Familiarity with GPU computing across all layers of the AI stack, from DL frameworks like PyTorch down to CUDA.
You will also be eligible for equity and .

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What you'll be doing:
You will be contributing to power estimation models and tools for GPU products and systems like NVIDIA DGX.
Early GPU & System Architecture exploration with focus on energy efficiency and TCO improvements at GPU and Datacenter level.
You will help with Performance vs Power Analysis for NVIDIA future product lineup.
Deploy machine learning techniques to develop highly accurate power and performance models of our GPUs, CPUs, Switches, and platforms.
Understand the workload characteristics for GenAI/HPC workloads at Datacenter Scale (multi-GPU) to drive new HW/SW features for Perf@Watt improvements.
Modeling & analysis of cutting-edge technologies like high speed & high-density interconnects.
What we need to see:
Pursuing a MSEE/MSCE, or equivalent experience related to Power / Performance estimation and optimization techniques.
Knowledge of energy efficient chip design fundamentals and related tradeoffs.
Familiarity with low power design techniques such as multi-VT, Clock gating, Power gating, and Dynamic Voltage-Frequency Scaling (DVFS).
Understanding of processors (GPU is a plus), system-SW architectures, and their performance/power modeling techniques.
Proficiency with Python and data analysis packages like: Pandas, NumPy, PyTorch.
Familiarity with performance monitors/simulators used in modern processor architectures.
You will also be eligible for equity and .

Share
Essential Responsibilities:
Expected Qualifications:
Additional Responsibilities & Preferred Qualifications
WhereExperience Strategydefines theand
This is not just a UX strategy or systems design role—it’s both. You will lead the practice of Experience Architecture: the structuring of journeys, flows, navigation, taxonomy, and interaction models into a unified, extensible system. Your work will ensure that every interaction fits together to form a complete, coherent whole—one that reflects our brand, reinforces behavior, and reduces experience entropy as we scale.
Key Responsibilities
Architect the Experience Ecosystem
Lead Horizontal Experience Strategy
Architect critical cross-product journeys (e.g., Account, Wallet, Rewards) that unify the customer experience across silos.
Own and Govern Taxonomy & Information Architecture
Partner with Content Design, Product Design, and Engineering to establish scalable IA systems and navigational models.
Advance Service Design & System Mapping
Connect frontstage flows to backstage systems and operational logic; drive service blueprinting across the product lifecycle.
Drive CX Improvements
Identify and resolve systemic customer experience issues across surfaces, workflows, and product areas through architectural interventions—not just interface refinements.
Partner with Design Systems
Collaborate to encode architectural logic into reusable components and interaction frameworks, ensuring real behavior is reflected—not just UI consistency.
Transform Experience Delivery
Work with Product Ops and PMO to embed architectural checkpoints into planning, roadmapping, and SDLCprocesses—acceleratingdelivery while protecting experience integrity.
Qualifications
12+ years of experience in experience design, UX architecture, or systems design, with a strong portfolio demonstrating strategic impact.
Proven leadership in structuring complex digital ecosystems and scaling design systems.
Deep expertise in journey mapping, taxonomy design, interaction modeling, and platform strategy.
Exceptional communication and storytelling skills, with the ability to influence across disciplines and levels.
Experience working in large-scale, matrixed organizations with a focus on platform thinking and design maturity.
Preferred Skills
Experience with enterprise platforms, developer tools, or internal design infrastructure.
Familiarity with accessibility standards, localization, and inclusive design practices.
Strategic mindset with a bias for action and a passion for enabling great design at scale.
Travel Percent:
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .
The US national annual pay range for this role is $188,000 to $323,950Any general requests for consideration of your skills, please
These jobs might be a good fit