Software Development Manager, IAM

🏢 Summary: Technical Design Change Manager role overseeing feasibility, technical review, and implementation of data-center design changes across a large global project portfolio. The position evaluates multidisciplinary infrastructure systems, coordinates engineering and business stakeholders, and improves design-change governance, reporting, and deployment processes. 🗂️ Requirements: 5+ years of industrial or commercial engineering experience in mission-critical facilities, Experience in data centers, power generation, or oil and gas facilities, Bachelor’s degree in Electrical Engineering or related field 📃 Skills: AWS, Electrical, Mechanical, Civil, Structural, Architectural, Controls, Plumbing, FireProtection, Thermal, HVAC, UPS, Switchgear, Hydraulics, Construction, Procurement, Commissioning, Automation 🏢 Description: Description We are seeking a highly technical Design Change Manager to join the GDSCM team, focusing on the Basis of Design (BOD) and Programmatic Design Change Management (PDCM) programs. This role requires deep technical expertise across multiple engineering disciplines and the ability to evaluate complex design changes across 300+ in-flight projects. As a Design Change Manager, you will serve as a technical expert evaluating design change requests across electrical, mechanical, civil, structural, architectural, controls, plumbing, fire protection, and thermal systems. You will conduct feasibility analyses, coordinate technical reviews with principal engineers across all disciplines, and manage the end-to-end lifecycle of design changes from initiation through implementation. You will work closely with Design Engineering, Construction Management, Procurement, Finance, and Product teams to ensure design changes are properly vetted, funded, and executed. Key Job Responsibilities Technical Design Evaluation • Evaluate complex design changes across multiple engineering disciplines, including electrical power distribution, mechanical cooling systems, structural loads, civil site work, architectural layouts, controls systems, plumbing infrastructure, and fire protection systems. • Analyze technical specifications, construction drawings, equipment datasheets, and system integration requirements to assess design change feasibility and impact. • Understand and explain the complexity of data center designs, including power distribution from utility to rack level, cooling system architectures, backup power systems, and building infrastructure. • Identify technical dependencies and cross-discipline impacts when evaluating proposed design changes. • Assess constructability, maintainability, and operational implications of design modifications. • Review and validate technical calculations, including electrical load calculations, cooling capacity requirements, structural load analysis, and hydraulic calculations. Design Change Management • Manage a portfolio of design changes across multiple in-flight projects, ensuring alignment with business priorities and technical requirements. • Conduct feasibility analyses and production-readiness assessments for proposed design changes, evaluating technical risk, schedule impact, and cost implications. • Coordinate technical reviews with principal engineers across mechanical, electrical, structural, civil, architectural, controls, plumbing, and fire protection disciplines. • Develop and maintain implementation plans, tracking design change execution from approval through site deployment. • Present design change recommendations and cost implications to senior leadership, clearly articulating technical complexity and business impact. • Evaluate design improvements and innovations, assessing their applicability across the global portfolio. Cross-Discipline Collaboration • Partner with Electrical Engineers on power distribution design, generator sizing, UPS configurations, switchgear specifications, and high-voltage systems. • Collaborate with Mechanical Engineers on cooling system design, HVAC configurations, piping layouts, and thermal management strategies. • Work with Structural Engineers on foundation design, seismic requirements, equipment support structures, and building loads. • Engage with Civil Engineers on site grading, stormwater management, utility routing, and site infrastructure. • Coordinate with Architectural teams on building layouts, space planning, and building envelope design. • Interface with Controls Engineers on building management systems, monitoring systems, and automation strategies. • Partner with Fire Protection Engineers on fire suppression systems, detection systems, and life-safety requirements. Stakeholder Coordination • Partner with Design Management teams to understand project-specific requirements, constraints, and technical challenges. • Collaborate with Finance teams on cost validation, funding strategies, and budget tracking for design changes. • Work with Construction Management and Procurement teams to assess schedule impacts, supply-chain constraints, and constructability. • Engage with Product and Solutions teams to evaluate new equipment, emerging technologies, and design approaches. • Coordinate with Commissioning teams to ensure design changes support testing and startup requirements. Process Improvement • Identify opportunities to streamline design change workflows and reduce execution timelines while maintaining technical rigor. • Develop and maintain technical documentation, including standard operating procedures, design standards, technical specifications, and RACI matrices. • Contribute to automation initiatives and tooling improvements for design change management. • Support integration of cost-validation frameworks and bulk-funding mechanisms. • Drive continuous improvement in technical review processes and design-quality standards. Program Execution • Track and report on design-change metrics, including approval timelines, cost avoidance, implementation status, and technical quality. • Maintain design-change databases and dashboards for cross-functional visibility. • Support BOD release planning and coordination to minimize redesign impacts. • Participate in weekly leadership reviews, presenting program status, key decisions, and technical recommendations. About the Team The Global Design Standards and Change Management organization within Data Center Engineering is responsible for establishing and maintaining design standards across the global data center portfolio. The team manages three mission-critical programs: • Basis of Design (BOD): Establishes and governs foundational technical standards for global data center designs, ensuring consistency and quality across the portfolio. • Programmatic Design Change Management (PDCM): Manages design change requests across 300+ in-flight projects. • 360 Equipment Qualification Program (360 EQP): Qualifies equipment and technologies for deployment across the global portfolio, evaluating emerging solutions and driving standardization of critical systems. Together, these programs deliver capacity across the AMER, APAC, and EMEA regions. Basic Qualifications • 5+ years of industrial or commercial engineering experience in mission-critical facilities, including data centers, power generation, or oil and gas facilities. • Bachelor’s degree in Electrical Engineering or a related field. • Experience in industrial or commercial engineering in mission-critical facilities, including data centers, power generation, or oil and gas facilities. Preferred Qualifications • Professional Engineer License. • Experience with building codes and regulations for the applicable region. • Experience carrying design concepts through exploration, development, and deployment or mass production. • Experience reading, interpreting, and creating construction drawings, specifications, and submittal documents. Compensation and Benefits The base salary range is $116,800.00–$160,000.00 USD annually for Columbus, OH; Austin, TX; Herndon, VA; and Seattle, WA. The compensation package includes sign-on payments and restricted stock units (RSUs); final compensation is based on experience, qualifications, and location. Comprehensive benefits include health insurance, medical, dental, vision, prescription coverage, life and AD&D insurance options, an employee assistance program, mental health support, medical advice line, flexible spending accounts, adoption and surrogacy reimbursement, 401(k) matching, paid time off, and parental leave.

🏢 Summary: Senior FPGA developer role focused on designing, implementing, verifying, and validating programmable-logic components for data-center servers. The position owns FPGA architecture and companion firmware, supports deployment and fleet operations, leads technical work, and mentors engineers. 🗂️ Requirements: 8+ years of professional software development experience, 8+ years of programming experience, 8+ years of hardware description language programming experience, 5+ years leading system design or architecture, Experience troubleshooting and debugging hardware, Experience mentoring, serving as a technical lead, or leading an engineering team, Experience contributing to architecture and design of new and existing systems, Bachelor’s degree in electrical engineering or equivalent 📃 Skills: FPGA, VHDL, Verilog, SystemVerilog, Firmware, Hardware, Debugging, Architecture, Validation 🏢 Description: Description This individual contributor role is part of a software development team responsible for FPGA programmable-logic components that operate and support servers in data centers and other environments. The role owns comprehensive FPGA development, including architecture, design, work estimates, implementation, verification, and validation of new features and capabilities. It also contributes to companion firmware that interfaces with programmable-logic design and system-level operations using FPGA functions. Responsibilities - Lead technical work and development efforts through delivery and beyond, including defining work for other team members to meet program milestones. - Collaborate with architecture, hardware, validation, and software engineering teams, as well as external partners, to solve complex system challenges. - Support firmware deployment, operational monitoring, debugging, and fleet health. - Mentor and develop junior team members; contribute to technical direction, team growth, efficiency, and quality. Basic Qualifications - 8+ years of non-internship professional software development experience. - 8+ years of programming experience with at least one software programming language. - 5+ years of experience leading design or architecture of new and existing systems, including design patterns, reliability, and scaling. - Experience troubleshooting and debugging hardware. - Experience as a mentor, technical lead, or engineering team lead. - Experience contributing to the architecture and design of new and existing systems. - Bachelor’s degree in electrical engineering or equivalent. - 8+ years of programming experience with at least one hardware description language: VHDL, Verilog, or SystemVerilog. Preferred Qualifications - 8+ years of full software development life-cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations. - Experience leading and influencing a team or organization. - Experience with work breakdown and estimating design-task effort. Compensation and Benefits - Base salary range: $193,300–$261,500 annually in Cupertino, California; $168,100–$227,400 annually in Seattle, Washington. - Compensation package includes sign-on payments and restricted stock units; final compensation is based on experience, qualifications, and location. - Comprehensive benefits include medical, dental, vision, prescription, life and disability insurance options, employee assistance and mental-health support, flexible spending accounts, adoption and surrogacy reimbursement, 401(k) matching, paid time off, and parental leave.

🏢 Summary: Cloud Solutions Architect role supporting the EdTech public-sector market across the continental US. The position leads customer cloud implementation engagements, designs secure AWS architectures, responds to RFPs, and provides technical leadership alongside sales and business-development teams. 🗂️ Requirements: 2+ years designing, implementing, or consulting on applications and infrastructure, 4+ years in a technology domain: software development, cloud computing, systems engineering, infrastructure, security, networking, or data and analytics, 4+ years of IT development, implementation, or consulting in software or Internet industries, Web services development and deployment experience, Cloud computing experience, Website or service operations, management, and security experience, Technical presentation experience, Ability to travel up to 30% 📃 Skills: AWS, EC2, S3, RDS, CloudFront, CloudComputing, WebServices, Security, Networking, DevOps, RFPs 🏢 Description: This position can reside in the continental US.

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🏢 Summary: Join the Amazon Connect engineering team to design, build, and operate scalable, resilient cloud contact-center systems used by millions of customers. The role offers end-to-end ownership of software across modern web, service-oriented, NoSQL, AI/ML, and big-data technologies, with opportunities to solve complex customer-facing problems. 🗂️ Requirements: 3+ years of professional software development experience excluding internships, 2+ years of system design or architecture experience, Experience programming in at least one programming language 📃 Skills: AWS, Connect, Lex, Polly, Lambda, S3, Kinesis, NoSQL, AI, ML, BigData, SOA, Web, Programming, Architecture 🏢 Description: Description Amazon Connect is a cloud-based contact center service that enables businesses to deliver engaging, dynamic, and personalized customer-service experiences. It leverages Artificial Intelligence and AWS services including Amazon Lex, Amazon Polly, AWS Lambda, Amazon S3, and Amazon Kinesis to provide an extensible, easy-to-use customer experience. The team is seeking Software Development Engineers to innovate on this service and help customers build modern cloud contact centers. You will help design and deliver scalable, resilient systems while maintaining a strong customer focus. Responsibilities • Own code end to end, from design through development. • Work closely with senior technical leaders within the team and across AWS. • Solve complex engineering and algorithmic problems. • Develop systems across modern web, SOA, NoSQL databases, AI, ML, and big-data technologies. • Address real customer problems for a service used directly and indirectly by millions of customers. Work Environment • Work with an inclusive team focused on a shared goal. • Take direct responsibility for solving customer problems. • Learn continuously and take on new challenges. • Collaborate with highly skilled engineers while supporting work-life balance. Benefits and Culture • Flexible work hours and arrangements that support work-life harmony. • Employee-led affinity groups, inclusion events, and learning experiences. • Knowledge-sharing, mentorship, and career-development resources. Basic Qualifications • 3+ years of non-internship professional software development experience. • 2+ years of non-internship experience designing or architecting new and existing systems, including design patterns, reliability, and scaling. • Experience programming with at least one software programming language. Preferred Qualifications • 3+ years of full software development life-cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations. • Bachelor’s degree in computer science or equivalent. Additional Information Amazon is an equal opportunity employer and does not discriminate based on protected veteran status, disability, or other legally protected status. For Los Angeles County applicants, duties include working safely and cooperatively; adhering to standards of excellence under stressful conditions; communicating effectively and respectfully; following applicable laws and policies; exercising sound judgment; managing stress; demonstrating trustworthiness and professionalism; and safeguarding business operations and reputation. Qualified applicants with arrest and conviction records will be considered in accordance with the Los Angeles County Fair Chance Ordinance. Workplace accommodations or adjustments are available during the application and hiring process, including interview and onboarding support. Compensation and Benefits The compensation package includes sign-on payments and restricted stock units (RSUs). Final compensation is determined by experience, qualifications, and location. Comprehensive benefits include medical, dental, vision, prescription, life and AD&D insurance options, employee assistance and mental-health support, medical advice, flexible spending accounts, adoption and surrogacy reimbursement coverage, 401(k) matching, paid time off, and parental leave. Salary ranges: • Santa Clara, CA: $143,700–$194,400 annually. • Santa Clara, CA: $165,200–$223,600 annually. • New York City, NY: $158,100–$213,800 annually. • Seattle, WA: $143,700–$194,400 annually.

🏢 Summary: Drive analytics, reporting, and data-model development for AWS Private Pricing programs, turning sales and customer data into strategic recommendations for executive decision-making. The role leads cross-functional reporting improvements, automation, forecasting support, and operational processes for private-pricing growth. 🗂️ Requirements: Bachelor’s degree or equivalent in a related field, 5+ years of technical product or program management experience, 5+ years of data analysis and interpretation experience, Experience with Redshift, Oracle, or NoSQL data systems, Experience representing critical customers and stakeholders in executive-level prioritization and planning, Experience owning product feature delivery and trade-offs 📃 Skills: Redshift, Oracle, NoSQL, Analytics, Reporting, Forecasting, Automation 🏢 Description: The Global Deal Strategy and Programs (GDSP) organization is responsible for the AWS Private Pricing Program, designed to offer AWS customers commercial benefits in exchange for multi-year spend commitments. Private Pricing helps customers accelerate cloud transformation through multi-year relationships, providing pricing value, service access, and opportunities to innovate. The program serves enterprise customers making cloud commitments and is positioned to expand access and value for Private Pricing customers. GDSP is seeking an individual who can communicate effectively across technical and non-technical business units and geographies. Successful team members collaborate to solve data problems, implement reporting solutions, and meet high operational standards. The ideal candidate is highly motivated and able to tell the story of data with little direction or supervision. Key Job Responsibilities • Lead sales executive discussions to share insights, challenge the status quo, and provide forward-looking recommendations that enable strategic decision-making and growth of Private Pricing. • Support the development of continuously evolving business analytics and data models; own quantitative analysis of sales-team, customer, deal-team, partner, market, and product/service performance. • Develop a deep understanding of sales metrics, reporting tools, and data structures to identify and resolve issues; provide actionable intelligence using existing metrics or develop new metrics, dashboards, scorecards, and tools. • Build relationships and processes with sales, finance, sales operations, and other functional teams to identify and address reporting issues. • Manage and develop analytical tools or reports that automate inspection mechanisms, including business reviews, annual planning, and forecasting processes. • Create operational templates and processes to compile and standardize disparate information for consistent reporting and metric tracking. • Generate ad-hoc analyses and reports with actionable recommendations through data retrieval and analysis from data-management systems. • Create mechanisms and business processes that simplify, standardize, and enable operational excellence. Basic Qualifications • Experience representing and advocating for critical customers and stakeholders during executive-level prioritization and planning. • 5+ years of technical product or program management experience. • 5+ years of experience analyzing and interpreting data using Redshift, Oracle, NoSQL, or similar systems. • Bachelor’s degree or equivalent in a related field. • Experience owning feature delivery and product trade-offs. Preferred Qualifications • Experience influencing senior leadership through data-driven insights. • Experience working across functional teams and senior stakeholders. • Experience owning technology products, including 1P and 3P products. Compensation and Benefits The compensation package includes sign-on payments and restricted stock units (RSUs). Final compensation is determined by experience, qualifications, and location. • New York, NY: $166,300.00–$225,000.00 USD annually. • Seattle, WA: $151,200.00–$204,600.00 USD annually. Comprehensive benefits include health insurance (medical, dental, vision, prescription, life and AD&D insurance, supplemental life-plan options, EAP, mental-health support, medical advice line, flexible spending accounts, and adoption and surrogacy reimbursement coverage), 401(k) matching, paid time off, and parental leave.

🏢 Summary: Lead hardware engineering role focused on integrating, validating, and operating OEM SSD technologies across large-scale cloud server platforms. The position develops scalable monitoring and failure-analysis services, improves SSD performance and health, and supports new-drive rollouts with cross-functional software and hardware teams. 🗂️ Requirements: 5+ years of hardware design and validation experience for components, subsystems, or systems, Bachelor’s degree in electrical engineering, computer engineering, or equivalent, Storage-system root-cause analysis, debugging, and issue resolution in Linux, SSD system integration and operational experience 📃 Skills: Linux, SSD, Storage, Hardware, Validation, Debugging, Integration 🏢 Description: AWS Hardware Engineering is seeking experienced Hardware Design Engineers to lead the integration and operations of next-generation storage (SSD) for cloud systems. The role focuses on designing and building infrastructure that operates storage platforms at massive scale, integrating SSDs from OEM suppliers, and developing automated monitoring and failure-analysis services. You will work with software and hardware engineering teams to tailor storage solutions for the AWS environment, improve product performance, quality, and cost, and deliver new technologies for large-scale server deployments. Key Responsibilities • Lead the integration and delivery of SSDs from OEM suppliers. • Bring new SSD technology to systems and products while scaling operations for a large and growing fleet. • Build software services that optimize SSD performance and health at scale. • Drive faster detection, prevention, debugging, and root-cause analysis of SSD issues. • Support the rollout of new drives for new and existing platforms. • Collaborate with engineering teams to achieve operational excellence. Basic Qualifications • 5+ years of hardware design and validation experience for components, subsystems, or systems. • Bachelor’s degree in electrical engineering, computer engineering, or equivalent. • Experience with root-cause analysis, debugging, and resolution of storage-system issues in a Linux environment. • Experience with SSD system integration and operations. Preferred Qualifications • Proficient coding, scripting, and debugging abilities in a Linux environment. • Experience working with interdisciplinary teams to execute product design from concept through production. • Expertise in server technologies including thermal, mechanical, power, and signal integrity. • Experience developing technical documentation, including functional specifications, design verification plans, and functional test procedures. • Meets or exceeds leadership-principle requirements for the role. Additional Job Duties • Work safely and cooperatively with employees, supervisors, and staff. • Adhere to standards of excellence under stressful conditions. • Communicate effectively and respectfully to support exceptional customer service. • Follow applicable federal, state, and local laws and company policies. • Exercise sound judgment, manage stress effectively, act professionally, and safeguard business operations and reputation. Compensation and Benefits The compensation package includes sign-on payments and restricted stock units (RSUs). Final compensation is determined by experience, qualifications, and location. Annual base salary ranges: • Cupertino, CA: $183,000–$247,600 • Denver, CO: $159,200–$215,300 • Seattle, WA: $159,200–$215,300 Benefits include medical, dental, vision, prescription, life and AD&D insurance, employee assistance and mental-health support, flexible spending accounts, adoption and surrogacy reimbursement, 401(k) matching, paid time off, and parental leave. Equal Opportunity and Accommodations Qualified applicants with arrest and conviction records will be considered in accordance with the Los Angeles County Fair Chance Ordinance. Workplace accommodations or adjustments are available during the application, interview, and onboarding process for candidates with disabilities.

🏢 Summary: Join a new data science team building AI capabilities for a cloud contact-center platform. The role analyzes large datasets to identify customer patterns, outliers, anomalies, and data gaps that affect model performance, while partnering with product, science, and engineering teams to improve and deploy scalable solutions. 🗂️ Requirements: 2+ years of data science experience, 3+ years of SQL, scripting, or statistical software experience, 3+ years of machine learning and statistical modeling experience, Experience applying theoretical models in an applied environment 📃 Skills: SQL, Python, R, SAS, Matlab, MachineLearning, StatisticalModeling, DataAnalysis, Lex, Polly, Lambda, S3, Kinesis 🏢 Description: Description Join a new team building AI capabilities for a cloud-based contact center platform. The platform uses artificial intelligence and AWS services—including Lex, Polly, Lambda, S3, and Kinesis—to support engaging, dynamic, and personalized customer service experiences. As a Data Scientist, you will analyze massive datasets to categorize customer idiosyncrasies, identify outliers, and systematically detect anomalies that materially affect model performance. You will collaborate with senior technical leaders across AWS, trace decisions from raw data through complex models to business metrics, translate defined business problems into data science problems, and apply appropriate assumptions, methodologies, and data science best practices. Experience with machine learning explainability is a plus. The team is at an early stage, offering significant influence over deliverables without operational load from existing models or systems. You will help solve complex engineering and algorithmic problems, shape the technology and product, and design and deliver scalable, resilient systems with a constant customer focus. Key job responsibilities • Categorize customer idiosyncrasies by summarizing how customers use the product differently and identifying impacts on models. • Detect and clean up outliers that significantly affect model outputs, developing mechanisms for downstream consumption. • Deep dive into discrepancies between customer contact-center formulas and model results to determine whether model issues exist or whether results improve on established customer practices. • Assess data gaps by deriving creative features from existing sources and estimating the accuracy benefit of new data streams. A day in the life The team uses agile project management. You will participate in daily stand-ups, work with the product manager on customer issues requiring deep dives, collaborate with scientists on model-performance issues, and partner with software development engineers on deliverables such as automated data ingestion and model deployment. Basic Qualifications • 2+ years of data scientist experience. • 3+ years of experience with data querying languages, such as SQL; scripting languages, such as Python; or statistical/mathematical software, such as R, SAS, or Matlab. • 3+ years of experience with machine learning/statistical modeling data-analysis tools and techniques, including parameters that affect performance. • Experience applying theoretical models in an applied environment. Preferred Qualifications • Experience with Python, Perl, or another scripting language. • Experience in a machine learning or data scientist role at a large technology company. Compensation and Benefits The base salary range is $153,400.00–$207,500.00 USD annually. The compensation package includes sign-on payments and restricted stock units; final compensation is determined by experience, qualifications, and location. Comprehensive benefits include health insurance, dental, vision, prescription coverage, life insurance options, employee assistance and mental health support, flexible spending accounts, adoption and surrogacy reimbursement coverage, 401(k) matching, paid time off, and parental leave.

🏢 Summary: Senior Hardware Design Engineer role focused on defining, designing, validating, and optimizing next-generation machine-learning chips, cards, and server integrations for large-scale data centers. The position leads PCIe and SerDes design topics and drives hardware performance, quality, and cost improvements. 🗂️ Requirements: Bachelor’s degree in Electrical Engineering or related field, Debugging experience across architecture, algorithms, functionality, and performance, Multi-level logic verification experience from IP blocks and SoCs through full-system testing 📃 Skills: PCIe, SerDes, SoC, IP, debugging, verification, hardware, ML 🏢 Description: Description Design, define, validate, and optimize next-generation machine-learning chips, cards, and server integrations for large-scale data centers. As a senior hardware team member, participate in the design and execution of PCIe and SerDes topics to create customized platforms for data-center technology. As part of the Machine Learning Acceleration team, lead the application of new technologies to large-scale server deployments. Improve product performance, quality, and cost while collaborating with thought leaders across technology areas. Basic Qualifications • Bachelor’s degree in Electrical Engineering or a related field • Experience identifying bugs in architecture, algorithms, functionality, and performance, with strong overall debugging skills • Experience verifying multiple levels of logic, from IP blocks to SoCs to full-system testing Preferred Qualifications • Master’s degree in Electrical or Communications Engineering or a related field • Experience with formal verification techniques, including abstraction and end-to-end checking • Experience with ARM and various DSP ISAs • Experience with current and upcoming RF standards in cellular (4G/5G NR), WiMAX, 802.11ad, microwave backhaul, or related broadband wireless standards • Experience with industry-standard tools and scripting languages, including Python or Perl, for automation Compensation and Benefits The compensation package includes sign-on payments and restricted stock units (RSUs). Final compensation is determined by experience, qualifications, and location. Annual base salary ranges: • Cupertino, CA: $157,300–$212,800 USD • Austin, TX: $136,000–$184,000 USD Comprehensive benefits include medical, dental, vision, prescription, life and AD&D insurance options, employee assistance and mental-health support, flexible spending accounts, adoption and surrogacy reimbursement coverage, 401(k) matching, paid time off, and parental leave.

🏢 Summary: Lead supply-chain readiness for interconnect components supporting large-scale data-center hardware launches. The role aligns component roadmaps with product timelines, assesses BOM risks, drives multi-sourcing and alternate-component qualification, and reports mitigation progress. 🗂️ Requirements: Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Supply Chain, or related field, 8+ years of CSP, hardware, or supply chain experience, Experience explaining complex technical concepts to business and technical audiences, Experience analyzing component-level risks or bills of materials, Experience with cables, connectors, and sockets 📃 Skills: BOM, Cables, Connectors, Sockets, NPI, NUDD 🏢 Description: Description Manage supply-chain readiness for interconnect components that support new large-scale data-center hardware launches. Align component readiness with product timelines, mitigate supply risks, and enable scalable, resilient component selection. Key Job Responsibilities Product Roadmap Alignment • Partner with hardware engineering teams to align component readiness with product development timelines. • Track component-level readiness across development phases, from prototype to production, and identify gaps early. • Drive alignment on mitigation plans to support successful product launches at scale. Early Design Influence • Engage engineering teams early in concept and design phases for component-selection decisions. • Provide input on supply resilience, scalability, and qualification timelines. • Help optimize designs for multi-sourcing and long-term supply continuity. BOM Risk Assessment & Mitigation (NPI to MP), Including New, Unique, Difficult and Different (NUDD) • Analyze bills of materials to identify supply risks, including single or sole sourcing, supplier-capacity constraints, manufacturing and technology dependencies, and lifecycle and end-of-life exposure. • Work cross-functionally to drive mitigation plans and track progress through closure. Alternative Sourcing • Identify high-risk components and drive multiple-source selection throughout the NUDD process. • Partner with engineering and quality teams to enable early qualification of alternate components. • Ensure alternative solutions are ready ahead of key development milestones. • Resolve issues that affect product readiness. Risk Visibility & Reporting • Develop clear visibility into component-level risks and mitigation status. • Communicate key risks and escalation items to stakeholders. Basic Qualifications • Experience explaining complex technical concepts to business and technical audiences. • Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Supply Chain, or a related field. • 8+ years of experience in CSP, hardware, or supply chain roles. • Experience analyzing component-level risks or bills of materials (BOM). • Experience with cables, connectors, and sockets. Preferred Qualifications • Experience supporting new product introduction (NPI) for server, data-center, or electronics hardware. • Strong technical problem-solving skills. • Strong analytical and cross-functional collaboration skills. Compensation and Benefits • Base salary range: $162,700–$220,200 annually in Cupertino, California; $147,900–$200,100 annually in Austin, Texas and Seattle, Washington. • Compensation package includes sign-on payments and restricted stock units (RSUs); final compensation depends on experience, qualifications, and location. • Comprehensive benefits include medical, dental, vision, prescription coverage, life and AD&D insurance options, employee assistance and mental-health support, flexible spending accounts, adoption and surrogacy reimbursement, 401(k) matching, paid time off, and parental leave.

🏢 Summary: Lead quantitative and mixed-methods UX research for AI-powered business applications, shaping product decisions through experiments, surveys, behavioral analysis, and success metrics. The role partners with product, design, and engineering teams to evaluate concepts, measure adoption and usability, and deliver evidence-based recommendations. 🗂️ Requirements: 3+ years leading user research projects with demonstrated impact, Bachelor’s degree in HCDE, Human Factors, Cognitive Psychology, or related field, End-to-end research experience: study design, recruiting, moderation, analysis, reporting, Experience with lab-based, remote, and iterative prototype user testing, Survey design experience, Portfolio with research deliverables such as study plans, reports, or personas 📃 Skills: Experimentation, Analytics, Statistics, Surveys, Prototyping, Research, Moderation, Scrum, Agile 🏢 Description: Description Lead quantitative and mixed-methods research for AI-powered business applications. Shape product direction by helping teams understand customer interactions with AI-powered experiences and the factors that drive adoption, trust, usability, and customer value. Turn product questions into clear hypotheses, success metrics, well-designed studies, and actionable insights. Work in ambiguous, early-stage spaces to define how success should be measured, identify behavioral and attitudinal signals, measure product performance, and recommend evidence-based improvements. Key Job Responsibilities • Lead quantitative and mixed-methods research for AI-powered products, including early-stage concepts and evolving customer experiences. • Own studies end to end: frame research questions, define hypotheses, select methods, identify measures, analyze results, and communicate recommendations. • Design and run experiments, surveys, and behavioral analyses to understand customer needs, product performance, and improvement opportunities. • Define and track success metrics for adoption, trust, usability, comprehension, and customer value in AI-powered experiences. • Combine research findings, product-usage data, and customer feedback to generate clear insights and practical product recommendations. • Partner with product, design, and engineering teams in a build, test, learn approach where evidence informs decisions throughout the product lifecycle. Basic Qualifications • 3+ years of proven success leading user research projects with demonstrated impact. • Bachelor’s degree in HCDE, Human Factors, Cognitive Psychology, or a related field. • Experience leading user research projects with demonstrated impact. • End-to-end experience across research study design, recruiting, moderation, analysis, and reporting. • Experience with lab-based user testing, remote testing, iterative prototype testing, survey design, and using multiple methods within a study. • Portfolio demonstrating prior work and deliverables, such as study plans, reports, and personas. Preferred Qualifications • Master’s degree in Human Factors, HCDE, or Cognitive Psychology. • Knowledge of quantitative data analysis and statistics. • Experience conducting and applying research in a global context. • Experience working in a highly Agile/Scrum environment. Additional Information Qualified applicants with arrest and conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance. Compensation and Benefits The compensation package includes sign-on payments and restricted stock units (RSUs). Final compensation is determined by experience, qualifications, and location. • Sunnyvale, CA: $143,100–$193,600 annually. • New York, NY: $143,100–$193,600 annually. • Arlington, VA: $130,100–$176,000 annually. • Herndon, VA: $130,100–$176,000 annually. • Seattle, WA: $130,100–$176,000 annually. Comprehensive benefits include health insurance (medical, dental, vision, prescription, life and AD&D insurance, supplemental life options, EAP, mental health support, medical advice line, flexible spending accounts, and adoption and surrogacy reimbursement), 401(k) matching, paid time off, and parental leave.