Engineering Lead Analyst in United States

About the Team The Ads Support Delivery team is responsible for helping successfully operate and grow on our Ads product. This includes technical guidance, troubleshooting complex delivery and monetization issues, and partnering closely with Product, Engineering, Trust & Safety and Go-To-Market teams to resolve customer-impacting problems and improve the platform over time. The team’s mission is to deliver a high-quality customer experience at scale by combining strong human support with automation, self-service, and AI-enabled workflows, while maintaining high operational rigor. About the Role: As a Support Delivery Lead for Ads, you will lead a team responsible for end-to-end support delivery across the ads ecosystem, including campaign setup, delivery, billing, measurement, and policy navigation. You will set the operational bar for quality, responsiveness, and consistency; coach and grow the team; and translate support signals into actionable improvements with Engineering, Product, and Go-To-Market partners. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Lead and support a team of Ads support engineers, ensuring they have the tools, clarity, and coaching needed to operate at a high bar in a technically complex domain. Set clear expectations and operating standards, run recurring performance reviews, and build development plans that grow both technical depth (ad tech fluency) and customer-facing excellence. Design and continuously improve support coverage for ad buyers, ensuring the team can diagnose delivery issues and monetization and integration issues with equal rigor. Act as the bridge between Support Delivery, Engineering, Product, and Go-To-Market teams. Drive alignment on priorities, escalation paths, launch readiness, tooling improvements and mechanisms to reduce repeated customer pain points. Partner with engineering teams

About the team Special Situations at OpenAI is the company’s commercial engine for its most complex and consequential opportunities. The team operates where new verticals, partnership models, and customer motions must be invented, before a repeatable GTM or delivery playbook exists, by bringing together product, research, engineering, and GTM leaders around a single outcome. Many of these efforts begin as “new bets” (new verticals, new customer motions, new partnership models) and mature into repeatable ways of working that shape how OpenAI operates at scale. The team acts as a force-multiplier for the company by accelerating decision-making, aligning stakeholders, and converting complex opportunities into durable results. About the role We’re hiring a Deal Lead, Special Situations to help stand up new vertical bets, with a particular focus on partnership development in the semiconductor industry. You will identify where AI can create step-change value for semiconductor companies and ecosystem partners, originate and shape multi-project programs with FDEs and applied researchers, package them into compelling commercial proposals, and execute creative, complex partnerships while keeping executives and cross-functional teams tightly aligned. This role is especially focused on building strategic partnerships in semiconductors. You do not need to be a technical engineer, but you do need to be able to speak the language of the semiconductor industry, build credibility quickly with technical and business stakeholders, and come up the learning curve fast on industry dynamics, workflows, and constraints. A key part of the role is crafting deals with semiconductor companies that demonstrate our unique competitive advantages. To do this effectively, you will need to develop a strong point of view on the market, understand the competitive landscape, and clearly articulate OpenAI’s differentiated value and strategic advantage. Special Situations owns the overall success of each

About the Team Training Runtime builds the distributed systems that power OpenAI's largest model training runs - most recently GPT-5.5! The Data Movement area owns the infrastructure that keeps training jobs supplied with the right data at the right time, and keeps model state moving safely and efficiently across large clusters. Our work spans machine learning systems, distributed storage, high-throughput data loading, reliability engineering, and developer experience. Success means researchers can move quickly while training runs remain fast, reproducible, debuggable, and resilient at scale. About the Role We are looking for a deeply hands-on Technical Lead Manager to own datasets throughout our training infrastructure. This person will set the direction for how training jobs read data: the APIs, storage contracts, versioning model, benchmarks, debugging tools, and reliability guarantees that make data access consistent across current and future training frameworks. You will begin as the primary technical owner for dataset reads, working directly in the code while aligning researchers, training framework owners, storage teams, and infrastructure partners around a durable platform. The problem is deceptively hard at frontier scale: make enormous, heterogeneous datasets easy to consume, correct across distributed workers, observable when something goes wrong, and flexible enough to support pretraining, reinforcement learning, and multimodal training. In this role, you will Design and build a unified dataset read platform for multiple current and future training frameworks. Define dataset APIs, storage-format expectations, registration/versioning, and migration paths that make data access reproducible and maintainable. Build reliability into the read path, including stateful iteration, caching, fast restart, recovery, and clear operational contracts. Build terminal and web-based visualizers that let teams inspect text, multimodal, and reinforcement learning data late

About the Team The Premium team owns some of the highest-leverage customer-facing levers in ChatGPT’s consumer revenue business, spanning the paid customer journey: helping users understand the value of paid plans, convert with confidence, and continue finding lasting value in their subscription. Our work is highly cross-functional, partnering with Product, Data Science, Design, FinEng, Finance, Legal, Support, and Marketing to improve free-to-paid conversion, renewal, customer lifetime value, and revenue while keeping the experience trustworthy, scalable, and low-friction. In This Role, You Will: Lead and scale an engineering team responsible for some of ChatGPT’s most important subscription and monetization experiences. Own the technical execution for Premium customer experiences across plan merchandising, paywalls, upgrade flows, checkout UX, plan management, renewals, downgrades, and cancellation. Partner with Product and Data Science to run high-quality experiments across upgrade, trial, renewal, downgrade, and cancellation flows. Improve key subscription metrics including conversion, renewal, churn, ARPU, and lifetime value. Build reliable customer-facing Premium experiences for purchase, plan management, renewal, downgrade, cancellation, and access-related states at scale. Partner closely with FinEng and other platform teams to evolve the billing, payments, and entitlement capabilities that power Premium experiences. Collaborate closely with Product, Design, Data Science, Finance, Legal, Support, and Marketing on monetization strategy and execution. You Might Thrive in This Role If You: Have 5+ years of engineering management experience, Have strong technical expertise in backend, frontend, or full-stack development, with experience building growth-oriented features. Have a track record of improving conversion, retention, or monetization through experimentation and data-driven product engineering. Are experienced with subscription products, plan merchandising

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Team Scope You'll lead a team of 10 engineers owning the Developer Experience for authoring data engineering workloads, reporting to the manager who oversees DEX across all geographies. Every place a data engineer writes, runs, automates, or debugs their work is something we build, shape, or contribute to: Workspaces — the primary browser-based, multi-file IDE in Snowsight. Full-stack: a React/TypeScript front end on top of our own backend platform. We are the single largest contributor to this surface in net-new feature capabilities. Cortex Code Desktop — the local, VS Code-grade development experience for building on Snowflake (CoCo). We develop DE-focused experiences inside of the Desktop editor as first-class experiences. Cortex Code CLI — the command-line developer experience for the same workflows, for engineers who live in the terminal. We develop skills that go out to customers, as well as frameworks and technologies internally to build and test the agent and skills more rapidly. Pipeline Observability UIs — the in-product monitoring surfaces for deployed pipeline objects in Snowflake The products you'll ship on those surfaces dbt Projects on Snowflake (GA) — build, run, schedule, and monitor dbt natively inside Snowflake, no external orchestrator. DCM (Database Cha

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Lead Workday Engineer - Integrations and Extend Overview The P&C Engineering team designs, develops, and implements technology solutions that improve and engage Mastercard employees across the globe. • Do you enjoy building enterprise applications that solve complex business challenges at global scale? • Do you have a passion for architecting innovative Workday solutions that improve employee experiences? • Do you thrive in environments where modernization, automation, AI, and continuous improvement are strategic priorities? • Can you connect business strategy with technical architecture and guide engineering teams toward the right solution? This role serves as a Lead Integration Engineer, responsible for architecting enterprise applications, modern employee experience, and scalable platform capabilities. You will lead the evolution of Mastercard's Workday platform through Workday Extend, AI, automation, APIs, and modern application development. Role • Lead the architecture, design, development, testing, implementation, documentation, and support of enterprise applications using Workday Extend. • Architect scalable solutions leveraging Workday Extend, Orchestrate, APIs, Studio, Core Connectors, EIBs, and Workday Web Services. • Design reusable application frameworks, s

Overview The Associate Director of Service Engineering leads the reliability, availability, and operational excellence of Natera’s lab-facing platforms. This role ensures that clinical systems, laboratory equipment workflows, and data pipelines operate with high reliability, scalability, and compliance in a regulated healthcare environment. You will lead a team responsible for production stability, incident response, and service health, partnering closely with Production Engineering, Lab Operations, Bioinformatics, Infrastructure, Facilities, and Compliance to support mission-critical genetic testing and diagnostics. Key Responsibilities Leadership & Team Development Lead, mentor, and scale a team of Service Engineers / SREs supporting clinical production systems Establish clear expectations around ownership, on-call readiness, and operational excellence Drive hiring, onboarding, performance management, and career growth Foster a blameless, learning-oriented culture focused on patient impact and reliability Service Reliability & Production Operations Own reliability and availability for production services supporting laboratory operations, reporting, and customer delivery Define and manage SLAs, SLOs, and operational KPIs aligned with clinical and business priorities Lead major incident response, ensuring rapid triage, clear communication, and thorough post-incident reviews Oversee on-call rotations, escalation paths, and operational playbooks Ensure operational readiness and go-live support for new assays, pipelines, and platform capabilities Technical Strategy & Execution Partner with Engineering and Development teams to design resilient, fault-tolerant systems Drive best practices for monitoring, alerting, logging, and observability across lab and cloud platforms Reduce operational toil through automation, tooling, and process improvements Advocate for reliability, performance, and scalability requirements early in t

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo. The Role The Advisor Experience team is a new engineering team within Addepar’s Core Product Engineering organization, focused on building the products and experiences that define how financial advisors and their clients interact on the Addepar platform. Initially this role will focus on our new Secure Message Center — a compliant messaging experience built into Addepar’s client portal — but the scope extends well beyond messaging. We’re building the connective tissue between advisors and the investors they serve, creating workflows that make every interaction more informed, more personal, and more seamless. As the Engineering Manager for this team, you’ll lead a small, growing group of engineers and shape both the technical direction and team culture from the early stages. You’ll partner closely with product management and design to translate an ambitious product vision into shipped software. Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B , F-1 /OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment. What You'll Do Lead, mentor, and grow a team of full-stack en

JLL empowers you to shape a brighter way . Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. JLL - Senior Engineering Operations Manager (M2) Transform at JLL as a Senior Engineering Operations Manager on a prominent Fortune 500 technology client account! You will lead the hard services delivery at our clients global corporate headquarters. Location: San Jose, CA 95134 Work Schedule: Onsite, M-F ~8:00 AM - 5:00 PM + on call expectation for emergencies Travel Requirements: splitting time between other buildings within a large corporate campus Reports to: Regional Facilities Manager - West Region Estimated base salary range: $175,000 - $200,500 + annual salary bonus What this job involves: The Senior Operations Manager – Engineering Operations is responsible for leading the Engineering Operations program across the clients HQ, including maintenance and repair operations, asset reliability, workforce performance, operational risk, financial management, and technical service delivery. This role provides senior leadership across a large, complex campus environment and works closely with client stakeholders, JLL teams, engineering personnel, vendors, and service partners to ensure reliable facility performance, high-quality maintenance services, protection of critical environments, and strong client satisfaction. What your day-to-day will look like: Pro

JLL empowers you to shape a brighter way . Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. What this job involves: This position leads operations and maintenance activities for critical building systems, managing a high-performing engineering team to ensure maximum infrastructure availability and client satisfaction. The role combines hands-on technical expertise with leadership responsibilities, overseeing both preventive and corrective maintenance programs while maintaining compliance with regulatory requirements and safety standards. Your day-to-day tasks will include: Lead operations and maintenance on assigned shift, monitoring performance and directing service requests with minimal disruption to building operations Operate and monitor critical system equipment including HVAC, UPS systems, generators, chillers, and building management systems Provide technical training and support to shift engineers and maintenance technicians while fostering team development Implement and oversee preventative maintenance programs, including scheduling, task delegation, and parts ordering Process work orders for preventative and corrective maintenance, consulting with staff to identify materials and complete documentation Respond immediately to operationa

F-22 Lead System Designer Company: The Boeing Company The Boeing F-22 Raptor team is seeking a Lead System Designer in Berkeley, MO to join the F-22 Raptor Mission System Design Team with a focus on developing cutting edge engineering solutions to continue to advance the world’s premier air superiority fighter, located in Berkeley, MO. The Lead System Designer will interact directly with customers, suppliers, partners, program management, integration, software, and test engineers. The selected applicant will be a member of a geographically dispersed, high-performing, collaborative team, and must be self-motivated with a strong work ethic, excellent time-management, and strong communication and interpersonal skills. The team operates in the Scaled Agile Framework (SAFe) to support all aspects of product development. The applicant will be expected to actively help the team to continuously improve and develop innovative and creative solutions to products and processes and to coach the team in system design best practices. Position Responsibilities: Collaboration with Responsible Engineers, customer technical staff, suppliers, and Lockheed Martin teammates to develop and document complex electronic and electrical system and software requirements for F-22 avionics sub-systems and weapon system architecture Resolve technical issues through coordination with engineering using established processes . . Manage Deliverables by defining plans for risk mitigation, issues, and opportunities; and, monitoring baseline plans to assess project performance, productivity, and lessons learned. Brief customer and program leadership on program status;

Become a part of our caring community Job Description Summary The Lead Solutions Architect provides architecture leadership for CenterWell Home Health programs and platforms, shaping conceptual and reference architectures, governing solution designs, and aligning delivery teams to cloud and data strategies. The scope includes high-priority initiatives as well as interoperability and provider-data integrations that span CenterWell and Humana Insurance. As Lead Solution Architect, you'll be the senior individual contributor on a team with broad accountability across CenterWell's dispensing pharmacy portfolio — mail order, specialty, retail, and associated platforms. You'll own the architectural vision for complex, multi-system initiatives, shape how technology decisions get made, and act as a connective force between business strategy, engineering execution, and enterprise standards. You will operate within CenterWell IT – Cross-CenterWell Architecture. You will collaborate with product, engineering, EA Activation, security, data, and operations. You will engage governance forums to enable Integrated Health across CenterWell and Humana Insurance. Key Activities Quickly conduct structured knowledge transfer with existing architects and relevant stakeholders to capture critical in-flight designs and decisions. Review current initiatives and establish an architectural roadmap aligned with organizational priorities. Develop or refine reference architectures and design patterns for core platforms and solutions. Collaborate with governance and compliance teams to validate designs against enterprise standards and regulatory requirements. Define integration strategies and solution blueprints for key systems and data flows. Establish architecture review processes and decision forums to support de

Job Details: Job Description: The Role and Impact As a GPU Platform Hardware Design Engineer, you will play a pivotal role in designing and developing high-quality GPU hardware platforms that drive innovation in high-performance computing, graphics, and visualization technologies. You will lead the design process from initial feasibility studies through board layout, tapeout, and platform power-on, ensuring robust functionality and compatibility with industry standards. Your expertise in platform-level requirements, electrical engineering applications, and system bring-up will directly contribute to delivering cutting-edge GPU systems that accelerate Intel's leadership in computing. Business group The Data Center Group (DCG) is dedicated to advancing Intel's role in powering the digital world with leading-edge technologies. Focused on delivering innovative solutions for data center and cloud environments, DCG supports high-performance computing and graphics to enable capabilities such as AI, machine learning, and advanced visualizations. As part of the GPU IP Engineering team within DCG, you'll contribute to developing GPU systems that meet the evolving demands of the industry while supporting Intel's broader mission to create world-changing technology. Key Responsibilities - Design, develop, and evaluate electronic components, PCBs, and integrated circuits for GPU hardware platforms. - Translate platform-level requirements into detailed specifications and ensure adherence throughout the design process. - Define component placement and trace routing rules to optimize board layouts for performance, power, and signal integrity. - Conduct feasibility studies, board layout, tapeout, and platform power-on activities. - Perform functionality tests and utilize tools to verify platform configurations and compatibility. - Research, develop, and validate firmware, hardwa

Job Details: Job Description: The Role and Impact: Join Intel's Module Development Engineering team as a manager, where you will lead a group of talented engineers in crafting innovative solutions for next-generation technology development in wafer processing, assembly/test, and module repair factories. As a key driver of Intel's technological advancement, you will play a pivotal role in ensuring the successful development, transfer, and implementation of cutting-edge technologies that enable Intel's leadership in power performance, structural efficiency, and cost optimization. With a focus on driving results and fostering collaboration across multiple organizational boundaries, this role offers an opportunity to make a significant impact on Intel's global manufacturing capabilities and future technological roadmap. Key Responsibilities: - Lead a team of module development engineers to develop, implement, and transfer advanced technology solutions. - Define and oversee technology roadmaps for the module, ensuring alignment with Intel's strategic goals. - Manage resources, set priorities, and foster collaboration across teams to meet project schedules and maximize operational outcomes. - Partner with integration, device, and yield engineering teams to develop robust process solutions that deliver power performance and area leadership. - Build and maintain partnerships with supplier executive management to nurture unique industry ideas and research innovations. - Coach and mentor engineering teams in pathfinding and technology road mapping for advanced technology development. - Develop long-term strategies for module engineering capabilities to support emerging technological requirements. - Ensure accountability and drive team results by setting clear goals, performance benchmarks,

Own the end-to-end execution that takes NVIDIA DRIVE Autonomous Driving Software (NDAS) from product definition to production deployment across major OEM vehicle lines. We are seeking an accomplished engineering execution leader to lead adaptation, integration, validation, and production readiness of NVIDIA Autonomous driving solution (NDAS) for strategic automotive OEMs. You will work between NVIDIA product and engineering teams and the OEM's vehicle, software, systems, and validation groups. The role involves converting an agreed feature set into a deliverable vehicle program. This entails clarifying requirements, coordinating interfaces and responsibilities, setting the engineering plan, building consistent productization workflows, and managing issue resolution. You will influence teams such as systems engineering, autonomous-driving development, platform software, functional safety, cybersecurity, quality, validation, release, and customer engineering. What You'll Be Doing: Lead NDAS execution with major OEMs across the full program lifecycle — from feature definition and technical alignment through vehicle integration, validation, launch, and production ramp — owning the coordinated engineering plan per vehicle line, including requirements, architecture, adaptation scope, achievements, staffing, validation strategy, release criteria, and production-readiness gates. Translate OEM vehicle requirements and use cases into clear commitments for NVIDIA teams, while ensuring OEM partners understand product capabilities, constraints, assumptions, and the work required on their side; build scalable, repeatable workflows for adapting NDAS to specific OEM platforms, vehicle architectures, sensor configurations, compute platforms, networks, and development processes. Drive multi-functional implementation across autonomous-driving features, systems, platform software, vehicle integratio