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Being the cybersecurity partner of choice, protecting our digital way of life.
Your Impact
Lead the technical solution-building process, from initial strategy discussions to creating service playbooks and technical guides.
Act as the technical team representing Accenture Technical resources globally.
Develop and position unique solution offerings in collaboration with Accenture and Palo Alto Networks teams.
Drive the technical GTM strategy for joint solutions with Accenture, working closely with business development, sales, offer creation, and engineering teams.
Provide deep technical leadership in designing and implementing security architectures, primarily on Network Security (SASE, NGFW, Zero Trust) with a medium to deep depth of knowledge of Security Operations (SOC, SIEM, Cloud) and or AI Security.
Support hands-on technical configuration, prototyping, and lab development as needed.
Manage enablement activities for Accenture, ensuring their teams are well-versed in Palo Alto Networks’ security offerings.
Evangelize Palo Alto Networks’ enterprise security platform, articulating its business value to Accenture and customers.
Collaborate with sales engineers, channel managers, and account teams to drive revenue growth through solution adoption.
Build and maintain strong relationships with Accenture stakeholders, leading “partner peering” sessions to deepen engagement.
Identify emerging security challenges and contribute to future solution strategies.
Your Experience
A Bachelor's degree in Computer Science, Cybersecurity, or equivalent in a relevant field.
10+ years of experience working with systems integrators and enterprise customers in a technical capacity.
Expertise in Network Security, NGFW, SASE, and Zero Trust with hands-on experience in architecture, design, and implementation.
Strong foundational knowledge in SOC, SIEM, EDR, and cloud security solutions, with some hands-on experience in architecture, design, and implementation.
Proven track record in selling, demonstrating, and/or deploying enterprise security solutions that may include log management and SIEM. Strong network security experience is essential.
Strong experience in solution creation, working with product teams and partners to develop joint offerings.
Deep understanding of enterprise security trends, competitive solutions, and business drivers.
Experience collaborating with cross-functional teams, including sales, engineering, and marketing.
Effective communication skills (written and verbal) with the ability to present complex security solutions to both technical and executive audiences.
Strong understanding of technical partnerships and GTM strategies, particularly in working with Global System Integrators (GSIs).
Prior experience with Accenture and Palo Alto Networks is a plus.
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 $186000/YR - $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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Job Description:
This position is focused on leadership, technical direction, and oversight to multiple initiatives delivering Gen AI technology capabilities and solutions. Key responsibilities of the role include developing solutions and processes for multiple organizations based on their design/architectural/Agile/DevOps practices.This job is responsible for defining an architectural vision and solution that supports the strategic outcomes of the Business' Products and Services. Key responsibilities include defining the target operating environment, designing for client resiliency, assisting with solution design, and defining non-functional requirements. Job expectations include working with stakeholders and service providers aligned to the Business' strategic objectives, evaluating the impact of strategic design decisions, and contributing to the architecture roadmap.
Responsibilities:
Ensures that the design and engineering approach for complex features are consistent with the larger portfolio solution. Accountable for the availability, stability, scalability, security, and recoverability enabled by the designs.
Enables teams/applications with Continuous Integration/Continuous Development (CI/CD) capabilities and engages with other technical stakeholders pertaining to efficient functioning of CI-CD pipeline.
Guides and influences teams on design and best practices for high code performance –e.g. pairing, code reviews.
Provides end-to-end delivery of complex features, including automation, for either a single team or multiple teams, at the program level.
Conducts research, design prototyping and other exploration activities such as evaluating new toolsets and components for release management, CI/CD, and features.
Works with stakeholders to establish high-level solution needs and with architects for technical requirements.
Collaborate with product teams, data analysts and data scientists to design and build solutions.
Design and execute the implementation plans to both move forward strategically, while at the same time ensuring the current technology stack is supporting current needs.
Manage multiple priorities, and simultaneously engage with multiple teams worldwide.
Be vocal and actively participate in all session with business stakeholders and agile teams.
Manage next generation of architectural decision for advanced analytics platform, create strategy, roadmaps, present to tech and non-tech leaders.
Coach and mentor team members.
Required Qualifications
8+ years of experience in platform development, architecture, and strategy for data science, modeling, advanced analytics, and Gen AI.
Experience building E2E analytics platform focusing on self-service for as Data science, Big Data platform, Analytics etc.- Experience building E2E ML pipelines: Data prep, Model Build, training models, Deployment, Scoring, Monitoring and Optimization
Experience working with technical and line of business users to gather the requirements, writing BRD for building platform, brainstorm with different set of tech and non-tech audience, document the details with conceptual diagrams, validate the tech feasibilities of capabilities by researching and working with tech teams, architects, and engineers.
Reviews technical designs to ensure that they are consistent with defined architecture principles, standards, and best practices. Own technical decisions for the solution and application developers in the creation of architectural decisions and artifacts. Ability to clearly communicate with team & stakeholders.
Collaborate with product teams, data analysts and data scientists to design and build solutions.
Manage next generation of architectural decision for advanced analytics platform, create strategy, roadmaps, present to tech and non-tech leaders.
Strong understanding of modern open-source data science platform architecture for storage & compute separation, interactive development workbenches, virtual environments, containers, and toolsets.
Hands on experience on implementing CI/CD and automation using the Atlassian ecosystem.
Knowledge of metadata management, data lineage, and principles of data governance
Experience designing and building full stack solutions utilizing distributed computing architecture.
Design and build and deploy streaming and batch data pipelines capable of processing and storing large datasets quickly and reliably using Kafka, Spark and YARN
Desired Qualifications
Experience developing and delivering AI/ML, data, and analytics platform capabilities with open-source technologies, focusing on Gen AI – model serving, RAG frameworks, AI BI, MCP modules for enterprise data systems.
Skills:
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Being the cybersecurity partner of choice, protecting our digital way of life.
Your Career
We are seeking a Principal Product Manager with an AI first mindset to drive requirements, development, and deployment of our critical Configure, Price, Quote (CPQ) system for Palo Alto Networks (PANW)Sellers, Partners and Distributors. In this role, you will be responsible for driving digital transformation utilizing cutting edge AI technologies to help us scale our Sales, Services Implementations with Sellers, Partners and Distributors.
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 $194,000 - $260,000/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.
Remote: US
Core Focus Areas
Key Responsibilities
Strategic Advisory and Client Engagement:
Establish and maintain executive-level relationships (Manager, Director, VP, and CxO contacts) in strategic accounts with high growth potential.
Transform client security strategies by driving conversations that advocate for Palo Alto Networks’ view of transformative Solution Architectures.
Provide valuable insights and education to clients on effective risk reduction, operational excellence, and cost management.
Identify and document the client's strategic transformation goals and priority outcomes for value realization, collaborating with specialists to develop business cases around measurable benefits.
Conduct high-impact consulting engagements, including architectural assessments, designs, and client workshops, setting and driving a strategic agenda with the customer and sales/engineering teams.
Sales Productivity and Thought Leadership:
Demonstrate increased sales productivity through strategic architectural engagements.
Engage directly with senior technical and business leaders as a security expert to expand reach within accounts and expand the scope of sales opportunities by identifying new areas of engagement and areas where our solutions can deliver on executive priorities.
Collaborate with sales teams to develop and deliver differentiated proposals that clearly demonstrate business and technical value.
Internal Partnership and Development:
Become a valued resource to Product Management by discovering and understanding current challenges, competitive insights, and opportunities to address emerging needs in strategic market segments.
Maintain continuous self-improvement and learning to sustain technical leadership across relevant technologies (e.g., security technologies, cyber threat intelligence, risk and regulatory topics, emerging technologies)
Work closely with Sales and Solution Consulting leadership, Unit42 consulting teams, Business Value Consultants, Professional Services, Customer Success, and theater CISO/CTO resources (where applicable) to ensure a coordinated market approach.
Requirements and Qualifications
Experience: 10+ years of experience as an end customer, a cybersecurity vendor or consultant is required.
Education: BSCS, equivalent degree or experience is required.
Architectural Knowledge:
Must have deep knowledge of security operations, SIEM, endpoint security and incident response. Preferred experience in network security, SASE/Zero Trust, cloud security, identity management, and emerging topics related to cybersecurity and AI is a plus.
Extensive knowledge of core security architectures, history, and trends spanning network, endpoint, and hybrid environments.
Solid fundamental background in principles and practices of networking and/or cloud computing.
Executive Presence: Demonstrable experience in establishing credibility and strategic messaging with large enterprise executives (CISO and above).
Communication Skills: Strong written and verbal communication and presentation skills, both internally and externally.
Drive and Problem Solving:
A "Whatever it takes" attitude and motivation to overcome obstacles necessary to achieve desired outcomes and close deals.
Robust problem finding and solving skills, with the ability to analyze complex problems with systematic approaches to quick resolution, even under duress.
Travel: Expect to travel a minimum of 50%+ of the weeks in the fiscal year. Travel will include customer and company location onsite meetings.
Organizational Skills: Superb organizational skills are required.
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 $239,000 - $278,500/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.
These jobs might be a good fit

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What you’ll be doing:
Working with tech giants to develop and demonstrate solutions based on NVIDIA’s groundbreaking software and hardware technologies.
Partnering with Sales Account Managers and Developer Relations Managers to identify and secure business opportunities for NVIDIA products and solutions.
Serving as the main technical point of contact for customers engaged in the development of intricate AI infrastructure, while also offering support in understanding performance aspects related to tasks like large scale LLM training and inference.
Conducting regular technical customer meetings for project/product details, feature discussions, introductions to new technologies, performance advice, and debugging sessions.
Collaborating with customers to build Proof of Concepts (PoCs) for solutions to address critical business needs and support cloud service integration for NVIDIA technology on hyperscalers.
Analyzing and developing solutions for customer performance issues for both AI and systems performance.
What we need to see:
BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.
4+ years of engineering(performance/system/solution)experience.
Hands-on experience building performance benchmarks for data center systems, including large scale AI training and inference.
Understanding of systems architecture including AI accelerators and networking as it relates to the performance of an overall application.
Effective engineering program management with the capability of balancing multiple tasks.
Ability to communicate ideas clearly through documents, presentations, and in external customer-facing environments.
Ways to stand out from the crowd:
Hands-on experience with Deep Learning frameworks (PyTorch, JAX, etc.), compilers (Triton, XLA, etc.), and NVIDIA libraries (TRTLLM, TensorRT, Nemo, NCCL, RAPIDS, etc.).
Familiarity with deep learning architectures and the latest LLM developments.
Background with NVIDIA hardware and software, performance tuning, and error diagnostics.
Hands-on experience with GPU systems in general including but not limited to performance testing, performance tuning, and benchmarking.
Experience deploying solutions in cloud environments including AWS, GCP, Azure, or OCI as well as knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes, data center deployments, etc. Command line proficiency.
You will also be eligible for equity and .
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What You'll Be Doing:
Working as a key member of our cloud solutions team, you will be the go-to technical expert on NVIDIA's products, helping our clients architect and optimize GPU solutions for AI services.
Collaborating directly with engineering teams to secure design wins, address challenges, usher projects into production, and offer support through the project's lifecycle.
Acting as a trusted advisor to our clients, while developing reference architectures and best practices for running Microsoft AI workloads on NVIDIA infrastructure.
What We Need To See:
4+ years of experience in cloud computing and/or large-scale AI systems.
A BS in EE, CS, Math, or Physics, or equivalent experience.
A proven understanding of cloud computing and large-scale computing systems.
Proficiency in Python, C, or C++ and experience with AI frameworks like Pytorch or TensorFlow.
Passion for machine learning and AI, and the drive to continually learn and apply new technologies.
Excellent interpersonal skills, including the ability to explain complex technical topics to non-experts.
Ways To Stand Out From The Crowd:
Recent projects or contributions (for example, on GitHub) related to large language models and transformer architectures.
Knowledge of Azure cloud and AzureML services.
Experience with CUDA programming and optimization.
Familiarity with NVIDIA networking technologies such as Infiniband.
Proficiency in Linux, Windows Subsystem for Linux, and Windows.
You will also be eligible for equity and .
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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$156,000—$234,000 USDThese jobs might be a good fit

Being the cybersecurity partner of choice, protecting our digital way of life.
Your Impact
Lead the technical solution-building process, from initial strategy discussions to creating service playbooks and technical guides.
Act as the technical team representing Accenture Technical resources globally.
Develop and position unique solution offerings in collaboration with Accenture and Palo Alto Networks teams.
Drive the technical GTM strategy for joint solutions with Accenture, working closely with business development, sales, offer creation, and engineering teams.
Provide deep technical leadership in designing and implementing security architectures, primarily on Network Security (SASE, NGFW, Zero Trust) with a medium to deep depth of knowledge of Security Operations (SOC, SIEM, Cloud) and or AI Security.
Support hands-on technical configuration, prototyping, and lab development as needed.
Manage enablement activities for Accenture, ensuring their teams are well-versed in Palo Alto Networks’ security offerings.
Evangelize Palo Alto Networks’ enterprise security platform, articulating its business value to Accenture and customers.
Collaborate with sales engineers, channel managers, and account teams to drive revenue growth through solution adoption.
Build and maintain strong relationships with Accenture stakeholders, leading “partner peering” sessions to deepen engagement.
Identify emerging security challenges and contribute to future solution strategies.
Your Experience
A Bachelor's degree in Computer Science, Cybersecurity, or equivalent in a relevant field.
10+ years of experience working with systems integrators and enterprise customers in a technical capacity.
Expertise in Network Security, NGFW, SASE, and Zero Trust with hands-on experience in architecture, design, and implementation.
Strong foundational knowledge in SOC, SIEM, EDR, and cloud security solutions, with some hands-on experience in architecture, design, and implementation.
Proven track record in selling, demonstrating, and/or deploying enterprise security solutions that may include log management and SIEM. Strong network security experience is essential.
Strong experience in solution creation, working with product teams and partners to develop joint offerings.
Deep understanding of enterprise security trends, competitive solutions, and business drivers.
Experience collaborating with cross-functional teams, including sales, engineering, and marketing.
Effective communication skills (written and verbal) with the ability to present complex security solutions to both technical and executive audiences.
Strong understanding of technical partnerships and GTM strategies, particularly in working with Global System Integrators (GSIs).
Prior experience with Accenture and Palo Alto Networks is a plus.
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 $186000/YR - $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.
These jobs might be a good fit