Engineering Standards Manager in United States

About the Team Consumer Monetization builds the experiences and systems that power how customers purchase and pay for OpenAI products. Our scope spans purchasing flows, payments, subscriptions, and billing, along with the shared capabilities that support new products, offers, and distribution channels. We own both customer-facing experiences and the underlying platforms that power them. We partner closely with Product, Design, Growth, Data Science, and engineering teams across OpenAI to make purchasing effective and reliable, and new offerings easier to launch and monetize. About the Role We’re looking for experienced Staff+ engineers to evolve the payments, billing, and subscription capabilities that support OpenAI’s growing product portfolio. You’ll tackle problems where correctness, reliability, and flexibility are essential: supporting new billing requirements, managing the billing lifecycle, synchronizing state across internal systems and external providers, and enabling new products and commercial models. Your work may span several areas based on your expertise and team priorities: Billing and monetization capabilities: Extend billing capabilities and improve integrations and state consistency across systems to support new products and business models. Subscriptions: Orchestrate purchases, renewals, plan changes, cancellations, and recovery, ensuring customers are charged correctly and receive the right benefits. Payments: Expand payment capabilities through processor integrations, routing, and broader payment-method coverage. Risk and integrity: Partner with risk and integrity teams to integrate controls into purchasing flows, reducing abuse while protecting legitimate customer experiences. You’ll help set technical direction while remaining hands-on in implementation and delivery. This is an opportunity to solve complex engineering problems at scale, connect architecture decisions to customer and business outcomes, and help other engineers take on broader ow

About the Team Consumer Monetization builds the experiences and systems that power how customers purchase and pay for OpenAI products. Our scope spans purchasing flows, payments, subscriptions, and billing, along with the shared capabilities that support new products, offers, and distribution channels. We own both customer-facing experiences and the underlying platforms that power them. We partner closely with Product, Design, Growth, Data Science, and engineering teams across OpenAI to make purchasing effective and reliable, and new offerings easier to launch and monetize. About the Role We’re looking for experienced Staff+ full-stack engineers to shape purchasing experiences and monetization capabilities across OpenAI products. You’ll work across web experiences, product APIs, and shared components, combining strong product judgment with technical depth. The work ranges from improving checkout conversion and performance to enabling new pricing models, offers, and ways for customers to purchase our products. You’ll help identify opportunities, turn ambiguous goals into concrete technical plans, and lead initiatives from exploration through launch. As patterns emerge across products, you’ll develop reusable capabilities that make future launches faster and more consistent. This is a hands-on technical leadership role with substantial ownership over architecture, implementation, and product outcomes. This role is based in San Francisco, with three days per week in the office. In this role, you will: Architect and build purchasing experiences end to end, from frontend interactions through the product APIs and backend integrations that support them. Improve checkout conversion, performance, and reliability through experimentation, product analytics, and customer insights. Develop shared checkout components and monetization capabilities that support new products, pricing models, offers, and distribution channels. Partner with Product, Design, Growth, and Data Science to

About the Team Consumer Monetization builds the experiences and systems that power how customers purchase and pay for OpenAI products. Our scope spans purchasing flows, payments, subscriptions, and billing, along with the shared capabilities that support new products, offers, and distribution channels. We own both customer-facing experiences and the underlying platforms that power them. We partner closely with Product, Design, Growth, Data Science, and engineering teams across OpenAI to make purchasing effective and reliable, and new offerings easier to launch and monetize. About the Role We’re looking for experienced Staff+ engineers with deep iOS or Android expertise and demonstrated experience contributing beyond mobile to frontend web or backend development. You’ll shape and build purchasing and subscription experiences across mobile applications, web, and supporting product APIs. The work spans improving conversion, performance, and reliability, building reusable components, and enabling new product launches. You’ll combine product judgment with technical depth to set direction, lead initiatives across teams, and remain hands-on through implementation and delivery. Approximately 50% of the work will initially be native mobile development, with the remainder across web and product APIs. We’re looking for engineers who enjoy working across the stack and have concrete examples of doing so professionally. Depth in either iOS or Android is required; experience in both is not required. This role is based in San Francisco, with three days per week in the office. In this role, you will: Architect and build purchasing and subscription experiences across native mobile, mobile web, and supporting product APIs. Partner with Product, Design, and Growth to identify customer needs, prioritize improvements, and shape technical direction for purchasing experiences. Improve conversion, performance, and reliability through experimentation, product analytics, and customer insights

About the team OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Marketing team helps deeply understand customer audiences and market dynamics, influence the development of the right products, build sustainable and customer-aligned monetization models, and drive awareness, adoption, and usage across OpenAI’s products and platform. We take a data-driven approach to understand markets, develop monetization strategies, and uncover customer needs that shape product strategy and messaging. We partner closely with Sales, Partnerships, Product, Engineering, Research, Comms, and Design to deliver a cohesive end-to-end customer experience and lead go-to-market efforts for new product launches across channels. About the role We’re looking for a Product Marketing Manager, Advertising to help bring together advertiser insights, market understanding, and product knowledge to inform positioning, support product priorities, and execute go-to-market initiatives that drive adoption and measurable business impact. You’ll work closely with Product, Engineering, Sales, and Partnerships to understand advertiser needs, translate complex AI capabilities into clear customer value, and bring new products and features to market. This role is ideal for someone who combines strong analytical thinking with hands-on execution, can independently drive clearly scoped workstreams, and is eager to grow their strategic ownership in a fast-moving environment. In this role, you will: Contribute to the product and marketing strategy for a defined area of OpenAI’s advertising business in partnership with senior product marketers and cross-functional partners. Build an understanding of advertisers through customer research, market analysis, and competitive insights, identifying opportunities to improve positioning, adoption, and the customer experience. Develop and maintain positioning and messaging for assigned products or fe

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. POSITION SUMMARY CVS Health is seeking a Senior Full Stack Engineer, Agentic AI Platform to join and lead engineering efforts for Lumina, CVS Health's enterprise knowledge and agentic AI platform. The Senior Full Stack Engineer, Agentic AI Platform will provide both technical and people leadership while driving the evolution of a platform that delivers trusted, secure, and governed AI experiences across the enterprise. As a Senior Full Stack Engineer, Agentic AI Platform, you will own the technical direction, architecture, scalability, and operational excellence of Lumina while leading a team of engineers and data scientists responsible for building and supporting the platform. This is a hands-on leadership role requiring active contribution to production code, architectural decision-making, code reviews, and engineering best practices, while simultaneously coaching and developing team members. The Senior Full Stack Engineer, Agentic AI Platform will play a critical role in advancing agentic AI capabilities, retrieval-augmented generation (RAG) systems, Model Context Protocol (MCP) integrations, enterprise search, knowledge ingestion, and AI governance. You will drive platform enhancements that improve retrieval quality, strengthen security and access controls, expand automation capabilities, and ensure the platform remains reliable, observable, and scalable as adoption accelerates across CVS

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Micron’s DRAM Product Architecture Group partners across fabs, test, module, and system teams worldwide to deliver high-performance memory products. We work across geographies and functions to solve complex technical challenges, drive product innovation, and enable industry-leading DRAM solutions. Our team values collaboration, continuous learning, and making a measurable impact through engineering excellence. As a New College Graduate DRAM Yield & Quality Engineer, you will play a key role in monitoring and improving the health of Micron’s server DRAM products. Working with experienced engineers and cross-functional teams around the globe, you will analyze product and manufacturing data, investigate technical issues, and contribute to strategies that improve yield, quality, and performance throughout the product lifecycle. This is a highly visible role with direct impact on customer success and product reliability. Responsibilities Analyze silicon parametric, test, and manufacturing data to identify trends, resolve product issues, and support root cause investigations. Contribute to yield and quality improvement initiatives across new product introduction (NPI), qualification, ramp, and high-volume manufacturing. Collaborate with fab, test, module, quality, and operations teams to drive execution of product health objectives. Develop and maintain automation solutions to improve engineering efficiency, data analysis, and reporting. Apply AI, Agentic AI, and Generative AI tools to en

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As a Staff Engineer in Micron’s HBM Product Engineering Component Validation team, you will be an individual contributor responsible for the validation of advanced High Bandwidth Memory (HBM) products. You will use proven knowledge in dynamic random-access memory and high-bandwidth memory architecture to compose validation coverage, implement and analyze validation runs, lead product debug and failure analysis toward a zero-escape validation goal across test modes and product achievements. You will also adopt AI-enabled ways of working, using enterprise AI tools to accelerate your engineering tasks and improve efficiency, work within Micron’s global validation organization and collaborate with groups at different locations. Responsibilities: Translate DRAM/HBM develop intent and architecture into effective verification scope and test cases. Contribute to validation of new and high-risk product features, working with Design Validation, and Systems Engineering. Review design specifications, schematics, and datasheets, provide design feedback and represent the Product Engineering perspective in Design and Verification reviews. Read, analyze, and debug circuit blueprints to detect design-related failure mechanisms, and recommend approaches for verification and fault diagnosis. Perform root-cause analysis and examination of electrical failures (debug) of validation findings, distinguishing developed marginality from process and test-related issues. Apply automation and modern tooling (including

Systems Engineer (Modeling & Simulation) (Associate or Mid-Level) Company: The Boeing Company Boeing Defense & Security (BDS) is looking for an Associate or Mid-Level Systems Engineer (Modeling & Simulation) (Level 2 or 3) to join our multi-disciplined engineering team in Albuquerque, New Mexico designing and developing advanced concepts on a DOD propriety program . This position will join a multi-disciplined team of engineers and scientists to develop and test advanced concepts for the Department of Defense. Work could include such things as image processing and analysis, radiometry, modeling and simulation, evaluation of field data to anchor models, and wherever the data may lead throughout the program. The ideal candidate will have strong MATLAB or Mathematic skills, an interest in data analysis; modeling and simulation; and some knowledge of optics and electro-optics. Position Responsibilities: Assists in developing and validating requirements for various electro-optical systems and components Uses data analysis results and output of mod/sim tools to assist in the development and validation of requirements for electro-optical systems, mechanical systems, interconnects and structures Works with engineering teams to collect and analyze data used to anchor models Performs complicated trade studies, modeling, simulation and other forms of analysis to predict component, interconnects and system performance and to optimize design around established requirements Defines and conducts critical analyses of various kinds to validate performance of designs to requirements Defines and conducts tests to validate performance of designs to requirements and anchor models to fi

Senior DevSecOps Software Engineer Company: The Boeing Company The Boeing Company has an exciting opportunity for a Senior DevSecOps Software Engineer to support the ADaPS organization in Huntsville, AL. ADaPS (an organization of over 100 software engineers) supports programs across the entire portfolio of Boeing products including Space Launch Systems (SLS) Upper Stage, Satellite Efforts, and Advanced Missile Defense efforts including Patriot Advanced Capability (PAC3). ADaPS specializes in implementing rapid prototyping and development programs using small, adaptable agile teams. Position Responsibilities: Oversees establishment and maintenance of modern software development environments, with formalized processes for development, implementation, integration, testing, documenting, and deploying software changes Works collaboratively with software engineering teams to deploy and operate systems Oversees development and maintenance of continuous integration / continuous delivery (CI/CD) pipelines Oversees automation and streamlining of operations and processes that support software testing, including script development as needed Builds and maintains tools for deployment, monitoring, and operations Communicates technical content to stakeholders Analyzes, plans, and executes mitigation strategies to prevent potential security risks, threats, and vulnerabilities Troubleshoots and resolves issues in development, testing, and production environments Supports software development and testing operations. Performs software research and trade studies Security Clearance: This position requires the ability to obtain a U.S. Se

Experienced Electrical & Test Engineer Company: The Boeing Company Boeing Defense, Space & Security (BDS) seeks an Experienced Electrical and Test Engineer to serve as an Automated Test Equipment Engineer to join our Patriot Advanced Capability-3 (PAC-3) Electrical Engineering Capability Team in Huntsville, AL . We design, sustain, and upgrade next generation electronics concepts and support production and special test equipment design for increasing capacity requirements. Position Responsibilities: Support design of automated test equipment, development of engineering documentation, and hardware fabrication, integration, and validation testing Develop, document, and maintain electronic and electrical system requirements according to customer desires and contract requirements Create and implement overall Test Equipment Design strategies Review and apply real-time test anomaly troubleshooting and resolution of issues encountered during hardware validation and verification testing Support fielded test equipment hardware and software over the entire product lifecycle Research emerging technologies for potential applications to meet projected requirements Perform Root Cause Corrective Action (RCCA) investigations, troubleshooting, and resolutions This position requires the ability to get a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim U.S. secret clearance Pre Start and final U.S. secret clearance Post Start is required. Basic Qualifications (Required Skills/Experience): Bachelor of Science degree in Engineering (with a focus in Electrical, Mechanical or Aeronautical), Computer Sc

Ship Suitability Engineer Company: The Boeing Company Boeing Defense, Space & Security (BDS) is seeking a Ship Suitability Engineer (Level 5) to support the Systems Engineering Integration & Test ( SEIT) Team in Berkeley, MO . Located within the BDS Air Dominance Systems Engineering core group in St Louis, Missouri supporting the Ship Suitability functions in the core and across individual programs. The candidate will support core efforts in development and maintenance processes and tools and will act as the “user/customer advocate” on naval programs to instill operational quality in Boeing’s products. The candidate will collaborate with Boeing Integrated Product Teams and the maritime customer, working to inform integration into the shipboard environment including approaches to launch and recovery, deck handling, communication modes with the ship, and shipboard qualification testing. The candidate will support engineering and test efforts on programs at the systems level by analyzing designs, participating in trade studies, designing/developing concepts, and assisting with drafting and executing test plans for air ship integration of weapons systems. The candidate will also lead and support training efforts to educate Boeing and customer engineers in naval aviation operations, procedures, equipment and environments pertaining to ship suitability. Training efforts may include, but are not limited to, classroom training at Boeing facilities and leading groups of engineers aboard ships at sea and land-based facilities. Position Responsibilities Applies an interdisciplinary, collaborative approach to lead activities to plan, design, develop and verify complex lifecycle balanced system of

Early Career Mechanical Design Engineer Company: The Boeing Company Boeing Test & Evaluation (BT&E) is looking for an Early Career Mechanical Design Engineer to support the Environmental Test Design Engineering team in Berkeley, MO. The primary focus of this position is to support St. Louis Environmental Lab testing for local Boeing Defense & Space (BDS) programs. The design team works in partnership with the lab test teams to provide the designs and hardware needed to complete testing. Test capabilities within the Environmental labs include vibrational/structural dynamics, acoustic, airflow systems, fuel flow systems, high temperature flow impingement, and environmental control chambers, where temperature, humidity, and pressure are varied. Mechanical Design Engineers on the team design and modify test articles, fixtures, and support structures that integrate with our lab facilities. Design work ranges from adapters and fixtures to full test rigs and complete aircraft subsystems with their support structures. Responsibilities include designing interfaces to facility infrastructure such as supplied pressure, heating/cooling, power, hydraulics, and a full suite of instrumentation. Design Engineers support fabrication, installation, connection, and acceptance/check-out to deliver test-ready hardware. Boeing St. Louis is building the future ‒ creating innovative solutions that will define the next generation of aerospace. As part of this team, you will have the opportunity to work on the latest military aircraft and weapons programs such as T-7A, F-15, F/A-18, MQ-25, JDAM, SDB, in addition to Phantom Works proprietary efforts. Position Responsibilities: Develop mechanical design criteria from

NPI Mechanical Quality Engineer Description - As part of the Personal Systems Quality organization, the NPI Mechanical Quality Engineer drives product quality and reliability throughout the NPI product development lifecycle. This role partners with cross-functional teams to evaluate designs, identify and mitigate reliability risks, drive failure analysis and root cause investigations, and implement corrective actions that improve product quality and customer experience. This role provides technical leadership in reliability test development, mechanical design assessment, and Design for Quality and Reliability (DFX) initiatives to ensure high-quality products from concept through production. Strong mechanical engineering expertise, problem-solving skills, and team collaboration are essential for success in this role. *Onsite in Spring office is required 4-days a week Responsibilities: • Provides technical analysis of compute products during NPI Phase through RFQ design proposal reviews, CAD reviews, and DFX product tear downs. • Provides advanced failure analysis, root cause identification, and corrective/preventive actions for reliability concerns and/or issues during development, manufacturing, and field operations. • Proactively addresses customer requests or issues related to mechanical reliability, ensuring timely resolution while liaising with the relevant stakeholders. • Provides consultation to product development architecture teams regarding material component selection, design risk assessment, and associated reliability test plans. • Provides NUD (new, unique, difficult) risk mitigation and test plan development and develops issue prevention. • Actively mentors less-experienced engineers in the field of mechanical reliability and contributes to their growth in the organization. Education & Expe

About the Role Discover your future at Citi Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact. Job Overview Citi's Integrated Digital Assets Platform (CIDAP) is at the vanguard of institutional blockchain adoption — and security is its foundation. As digital assets move from innovation to regulated infrastructure, the cryptographic integrity of every transaction, wallet, and key lifecycle operation becomes mission-critical. We are building the security layer that the world's most sophisticated financial institution can trust. We are seeking a Senior Security Engineer (VP) to join our New York-based Digital Assets Platform engineering team. This is a hands-on, Java-focused backend engineering role for a security-minded engineer who understands both the craft of secure software development and the cryptographic primitives that underpin digital asset custody, signing, and key management. You will sit inside the core engineering team — writing production code every day — while being the resident authority on cryptographic design patterns, HSM integration, MPC protocols, and security architecture. Your work will directly protect billions of dollars of digital asset infrastructure used by institutional clients worldwide. Key Responsibilities Design, develop, and maintain security-critical backend services in Java — including cryptographic libraries, key management APIs, signing wor

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries. JOB DESCRIPTION: Position Overview The AI Platform Engineer builds and operates the machine learning and generative AI platform used by teams across Abbott Cancer Diagnostics. You'll own the full model lifecycle in production — data and feature pipelines, training and experimentation, evaluation and promotion, serving, and monitoring — along with the platform services, compute and tooling underneath it. This is hands-on infrastructure work backed by solid platform engineering practice: making inference fast and cheap, making the path from experiment to production repeatable and auditable, and shipping interfaces other engineers can build on — in support of software that ultimately reaches patients. Essential Duties Include, but are not limited to, the following: Build and maintain data, feature, and training pipelines for ML and LLM workloads — ingestion, transformation, fine-tuning, distributed training, and reproducible experiment execution with lineage tracked from dataset and code to resulting model. Implement automated evaluation and promotion gates — performance benchmarks, regression checks, and validation criteria that determine whether a model advances toward production. Automate the model lifecycle end to end through CI/CD and GitOps: packaging, promotion across environments, progressive rollout, and rollback. Build and operate production model-serving infrastructure for LLMs and predictive models, including inference optimization, autoscaling,