Manager

• Drives a complex individual supply chain sub-category and assumes responsibility for the development and execution of sourcing strategies that contribute to the achievement of strategic vision and goals.
• Conducts complex data and industry review, including costs analysis, competitive analysis, etc., and reports results to senior management to aid in data-driven decision making.
• Liaises with senior stakeholder to understand business priorities and translate them into supply chain strategies, and influences the industry and marketplace within moderately complex marketplace categories.
• Collaborates with cross-functional teams to examine existing business processes and develop and utilize supply chain, business, and financial modeling tools.
• Drives supply base optimization by leading complex supplier selection activities and negotiating acceptable contracting outcomes using known solutions.
• Holds responsibility for day-to-day operations of large, moderately-complex suppliers, and partners with them in minor strategic development.
• Collaborates with senior management to ensure that the company's procurement policies are followed and that compliance metrics are met or exceeded.
• Identifies contract risk areas using cause and effect thinking, advises senior level business leaders on all contract risk areas, and provides inputs on risk mitigation, business continuity, cost management and operations strategies.
• Assesses current and evolving business models in the marketplace, and leverages the insights to engage with stakeholder managers and grasp business priorities and translate them into actionable procurement plans.

Global Logistics Parcel Manager

Procurement

• Leads a complex individual supply chain sub-category and assumes responsibility for the development and execution of sourcing strategies that contribute to the achievement of strategic vision and goals.
• Conducts complex data and industry analysis, including costs analysis, competitive analysis, etc., and reports results to senior management to aid in data-driven decision making.
• Liaises with senior stakeholders to understand business priorities and translate them into supply chain strategies, and influences the industry and marketplace within moderately complex marketplace categories.
• Collaborates with cross-functional teams to analyze existing business processes and develop and utilize supply chain, business, and financial modeling tools.
• Drives supply base optimization by leading complex supplier selection activities and negotiating acceptable contracting outcomes using known solutions.
• Holds responsibility for day-to-day operations of large, moderately-complex suppliers, and partners with them in minor strategic development.
• Collaborates with senior management to ensure that the company's procurement policies are followed and that compliance metrics are met or exceeded.
• Identifies challenging contract risk areas using cause and effect thinking, advises senior level business leaders on all contract risk areas, and provides inputs on risk mitigation, business continuity, cost management and operations strategies.
• Assesses current and evolving business models in the marketplace, and leverages the insights to engage with stakeholder managers and grasp business priorities and translate them into actionable procurement plans.

Logistics Procurement Manager

Security Engineer

• The Cybersecurity Change Management Analyst is responsible for governing, coordinating, and validating changes made to security‑critical infrastructure, including firewalls, servers, cloud workloads, security platforms, endpoints, and network systems.
• Work closely with requestors, cyber teams, and other stakeholders to ensure that all changes are assessed for risk, follow proper approval workflows, meet policy standards, and support stable, secure operation.
• Apply structured methodologies to lead change management activities across cybersecurity initiatives.
• Conduct impact analyses, assess change readiness, and identify key stakeholders.
• Collaborate with risk liaisons and business units to ensure remediation plans are in place for critical and high risks.
• Enable the design and delivery of communications and training programs to support change adoption. Coach senior leaders and managers to fulfil their roles as change sponsors.
• Ensure changes align with regulatory requirements and internal standards (e.g., NIST, ISO 27001).

Cybersecurity Engineer – Change Management

Data Engineer

• This role is responsible for data collection procedures, including accurate and relevant data for machine learning models, extracting and analyzing data from the primary and secondary database.
• Ensures data integrity and compliance by performing data cleansing and data validations.
• Performs root-cause analysis and recommends or executes corrective actions by implementing auto detect, auto dragonize and auto correct when data from related system problems occur.
• Applies subject matter knowledge to solve complex business issues within established guidelines and recommends appropriate alternatives.
• Designs and establishes secure and performant data architectures, enhancements, updates, and programming changes for portions and subsystems of data pipelines, repositories or models for structured/unstructured data.
• Analyzes design and determines coding, programming, and integration activities required based on general objectives and knowledge of overall architecture of product or solution.
• Writes and executes complete testing plans, protocols, and documentation for assigned portion of data system or component; identifies and debugs, and creates solutions for issues with code and integration into data system architecture.
• Leads a project team of other data engineers to develop reliable, cost effective and high-quality solutions for assigned data system, model, or component.
• Collaborates and communicates with project team regarding project progress and issue resolution.
• Analyzes data inaccuracies, identifies opportunities and supports the development of automated solutions to enhance overall quality of the enterprise data.
• Identifies problematic areas and conducts research to determine the best course of action to correct the data; identifies, analyzes and interprets trends and patterns in complex datasets.
• Works cross-functionally with different departments to assess, define, and develop report deliverables.
• Represents the software data engineering team for all phases of larger and more-complex development projects.
• Provides guidance and mentoring to less experienced staff members.

Full-stack Engineer

• Join us for a 12-week paid summer internship designed to let you apply your classroom learnings to real world challenges.
• Our internships have a thoughtful balance of networking, executive speakers, community involvement, big meaty projects (no paper filing here!) and fun!

Software Developer Internship

Product Manager

• Own end‑to‑end outcomes by driving cross‑functional alignment across engineering, GTM, and operations teams to ensure coordinated delivery of Edge AI solutions.
• Define the vision, strategy, and roadmap for an Edge AI solution that enables HP to expand its footprint and compete for leadership in the rapidly growing Edge AI market.
• Define an integrated hardware, software, and services solution that supports Computer Vision and Multi ‑ Modal AI workloads in edge deployments, including back ‑ office and branch locations.
• Drive platform and solution requirements, including base hardware capabilities, to support development, deployment, and scalable operation of Edge AI solutions.
• Partner with peer product managers and engineering teams to communicate feature prioritization, timelines, and acceptance criteria, ensuring timely and high ‑ quality delivery.
• Engage directly with ISVs, customers, and ecosystem partners to validate real ‑ world workflows and accelerate time ‑ to ′value through pilot and scaled deployments.
• Support product marketing and sales teams with Go-to-Market strategy development, product positioning, and sales enablement materials.
• Define and track success metrics related to adoption, reliability, usability, and overall platform impact.

Senior Product Manager – Edge AI, Computer Vision, Multimodal Inference

Paralegal

• Support M&A transactions, including due diligence, NDAs, closing deliverables, state corporate filings, securities filings, M&A-related regulatory investigations, and billing and budgeting matters
• Support M&A integration and separation planning activities, including cross-functional coordination with stakeholders to integrate people, processes, policies, systems, and contracts
• Support compliance with M&A and finance covenants
• Support SEC filings, including Forms 10-Q, 10-K, 8-K, proxy statements, and related materials
• Manage and coordinate NYSE listing standards compliance
• Support corporate governance activities, including D&O questionnaire review and data verification requests
• Prepare a wide variety of legal filings, reports, and research
• Advise on record retention needs and efforts
• Develop trainings, playbooks, and team resources
• Embrace and adopt AI and other new technologies to drive efficiencies
• Coordinate legal and internal stakeholder input
• Review and coordinate gathering of information, materials, documents, reports, and evidence necessary to respond to due diligence requests related to public and private equity and debt offerings
• Work with other members of the Corporate Legal team as well as other company functional departments on special projects and initiatives

Senior Corporate Paralegal

AI Research Scientist

• Responsible for the architecture and technical leadership of the end-to-end AI ecosystem including multimodal data pipelines, LLM-based engineering copilots, agentic automation systems, and predictive models for product development monitoring.
• Develop the full stack AI solution (LLMs, ML, agents, APIs, pipelines).
• Design multi-agent workflows for automated monitoring, anomaly detection & reporting.
• Establish LLM fine-tuning, evaluation, RAG, Semantic modelling(NLP/AI)and prompt engineering frameworks.
• Integrate engineering domain data (mechanical, electrical, field, test logs).
• Define MLOps, model governance, observability, and monitoring strategies.
• Collaborate with product development & engineering teams to map use cases.

AI Scientist

Director

• Own the pricing transformation roadmap to shift pricing from an operational process to a strategic enterprise lever.
• Collaborate with Category leadership to co-develop, pressure-test, and refine category-specific pricing strategies.
• Drive and oversee strategic pricing initiatives with clear ownership for in-quarter execution and performance outcomes.
• Act as the primary interface between Category teams, Pricing Analytics and Pricing Operations.
• Foster a culture of data-informed pricing decisions by collaborating across Category, Sales, and Pricing Analytics teams.
• Stand up and lead cross-functional governance to scale pricing ways of working.
• Lead the development and rollout of scalable pricing frameworks.

Senior Director – Pricing Transformation, Performance

General Counsel

• Lead and manage complex litigation matters, including commercial disputes, consumer and other class actions, and IP litigation, from pre‑litigation strategy through resolution.
• Serve as matter lead, with responsibility for developing and executing litigation and investigations strategy, assessing risk, setting settlement posture, and driving outcomes.
• Take a hands‑on approach to litigation and investigations, including direct involvement in pleadings, motion strategy, discovery planning, and case development.
• Lead and direct responses to government inquiries, investigations, and enforcement actions, setting strategy, managing risk, and coordinating execution across internal stakeholders and outside counsel.
• Serve as delegated legal authority for outside counsel, driving selection, case strategy, staffing models, budgets, and performance to ensure alignment with HP’s litigation objectives.
• Provide clear, decisive legal counsel to senior stakeholders on litigation and investigations risk, exposure, and strategic options, informed by business priorities and enterprise risk considerations.
• Own accountability for SEC disclosures and loss contingency assessments for assigned matters, partnering closely with finance to ensure accurate, timely, and defensible reporting.
• Proactively identify legal and regulatory developments, emerging risks, and litigation trends, and translate them into actionable guidance for business leaders.
• Contribute to portfolio‑level initiatives focused on litigation risk management, process improvement, and outside counsel optimization.
• Act as a thought leader by sharing subject‑matter expertise and exerting influence across the organization and, as appropriate, externally.

Litigation Counsel

• Performs maintenance and support for existing Zscaler tools and develops integrations to enhance workflows and automation with other company technologies.
• Contributes to the continuous improvement of HP’s Data Loss Prevention tools and methods by gathering requirements, proposing solutions, and implementing necessary changes.
• Monitors policies and alerts for effectiveness and investigates potential misconfigurations to minimize false positives.
• Creates and maintains comprehensive documentation for processes and assists in preparing training materials, delivering training and mentoring as needed.
• Collaborates with other teams to ensure smooth hand-offs and foster strong partnerships
• Prepares and presents reports, identifying and communicating key insights and potential risks.
• Monitors industry cybersecurity threats, best practices, regulatory changes, corporate updates, and geopolitical developments that impact security.
• Advises on improvements to data handling procedures and implements strong governance practices.

Cyber Security Engineer – Subject Matter Expert

Vice President

• Oversee the creation of a competitive roadmap that meets market needs
• Drive integrated product vision and strategy across HP GBUs, functions and key partner alliances
• Responsible for delivering profitable growth with sustained HP differentiation across the product line
• Communicates strategy and technology roadmaps to executive staff, industry partners, and customers
• Maintains and nurtures relationships with alliance and key technology partners at the executive level
• Ensure seamless and high impact new product introduction
• Consult with business leaders to drive and influence strategic decision-making

Vice President, Portfolio Management – Solutions & Experiences

Affiliate Manager

• Partner with senior business leaders, executive talent acquisition, and HR partners on leadership talent, succession, and development.
• Facilitate thoughtful, high-impact discussions about leadership readiness, potential, and future capability needs.
• Translate business priorities into clear talent implications, including leadership capabilities, experiences, and skills required for success.
• Leverage talent data and qualitative insights to inform recommendations and guide leadership decisions.
• Support and advance scalable talent practices such as succession planning and development planning through consultation and thought partnership.
• Act as a connector across leaders, HR partners, and talent teams to ensure alignment and follow-through.

Talent Partner

Sales

• Support semi-annual plan rollouts and mid-cycle updates
• Execute monthly incentive calculation cycles
• Perform pre- and post-calculation validations and reconciliation analysis
• Investigate and resolve Tier 1 compensation claims and disputes
• Identify recurring issue patterns and recommend systemic fixes
• Support generation and distribution of sales compensation letters; track acknowledgements
• Be accountable for timely and accurate payments
• Participate in SPM system implementation, enhancements, or migrations
• Contribute to transformation initiatives focused on simplifying, standardizing, and automating processes
• Identify opportunities to leverage AI tools to: Improve claims triage and investigation, Automate validation workflows, Enhance reporting and performance monitoring, Reduce manual adjustments

Sales Compensation Process Analyst

AI Engineer

• Responsible for the architecture and technical leadership of the end-to-end AI ecosystem including multimodal data pipelines, LLM-based engineering copilots, agentic automation systems, and predictive models for product development monitoring.
• Architect the full stack AI solution (LLMs, ML, agents, APIs, pipelines).
• Design multi-agent workflows for automated monitoring, anomaly detection & reporting.
• Establish LLM fine-tuning, evaluation, RAG, Semantic modelling(NLP/AI)and prompt engineering frameworks.
• Integrate engineering domain data (mechanical, electrical, field, test logs).
• Define MLOps, model governance, observability, and monitoring strategies.
• Collaborate with product development & engineering teams to map use cases.