Engineering Manager Development Infrastructure in United States

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 is seeking motivated Process Technicians to support wafer manufacturing by monitoring operations, reviewing data, and working closely with engineering and production teams to enhance yield, quality, and efficiency. This role requires strong analytical thinking, attention to detail, and disciplined execution. Process Technicians must have the ability to recognize abnormal conditions and apply structured problem-solving to troubleshoot issues in a fast-paced manufacturing environment while adhering to established procedures. Ideal candidates are comfortable working with data, dashboards, and computer-based systems and are capable of extracting, analyzing, and interpreting trends and clearly communicating insights. Success depends on effective communication, strong organization and time management skills, the ability to work independently, and flexibility with responsibilities and shift schedules. As part of a fabrication team driving innovation for a global leader in memory and storage solutions, Process Technicians directly support manufacturing excellence while demonstrating reliability, engagement, and a growth mindset aligned with Micron’s core values: People, Innovation, Tenacity, Collaboration, and Customer Focus. Responsibilities: • Manage semiconductor equipment, perform technical evaluations, and partner with cross functional teams to monitor, stabilize, and improve wafer fabrication processes. • Work with engineering teams to enhance workstations and apply structured troubleshooting and escalati

NVIDIA’s DGX Cloud organization is seeking a Senior Data Engineer to become part of its data team! We develop the reliable data foundation that supports fleet health, capacity, utilization, cost, reliability, and operational decision-making throughout DGX Cloud. Our platform supports engineering, operations, finance, and product teams managing and expanding large GPU fleets across cloud service providers and NVIDIA Cloud Partners. We are looking for a practical engineer and technical lead to take charge of a key part of the Navigator data platform. We develop the systems that transform distributed infrastructure telemetry and operational data into dependable, managed data products that support fleet health, capacity, utilization, cost, and operational decisions. We are seeking a hands-on, platform-minded engineer to build and evolve the systems that turn distributed infrastructure telemetry and operational data into reliable, governed data products. You will work across ingestion, transformation, data quality, platform architecture, security, observability, and self-service consumption to help make Navigator and the DGXC data platform a dependable source of truth. We do expect strong engineering fundamentals, experience operating production systems, and the ability to learn new platforms and domains quickly. What you'll be doing: Own systems end to end. For example, work from ambiguous customer and operational needs through architecture, implementation, deployment, observability, incident response, and ongoing support. Construct data pipelines and products. Such as designing and maintain batch and streaming ingestion, transformation, reconciliation, and serving paths for fleet, capacity, utilization, cost, scheduling, and operational telemetry. Build shared libraries, workflow and DAG or equivalent experience abstractions to evolve the data platform. Develop deployment tooling, data

NVIDIA is hiring an NCX Senior Engineer who is passionate about NVIDIA Cloud Partner (NCP) infrastructure operations to join our DSX team. This role involves working closely with strategic NVIDIA Cloud Partners to build and improve the operational capabilities essential for running large-scale NVIDIA accelerated infrastructure reliably in production. Your role involves guiding partners beyond the initial cluster deployment and validation phase into advanced Day 2 operations. These operations cover ongoing infrastructure health, observability, lifecycle management, quick remediation, performance validation, and operational readiness. You will engage directly with partner engineering and operations teams to develop consistent approaches that support NVIDIA workloads and the broader external customer environments of the partners. This is a highly technical, hands-on role at the intersection of NVIDIA accelerated computing, cloud infrastructure, distributed systems, and production operations. What you'll be doing: Lead NCP Day 2 operational readiness efforts. Collaborate directly with NVIDIA Cloud Partners to set up the systems, procedures, automation, and operational methods necessary to consistently manage NVIDIA accelerated infrastructure following initial deployment and activation. Build continuous infrastructure validation. Develop and implement methods to continuously validate GPU, CPU, storage, and network health. Do this across large-scale AI clusters to identify degraded infrastructure before it impacts critical training or inference workloads. Establish observability and operational telemetry. Help NCPs implement comprehensive telemetry, monitoring, alerting, dashboards, and operational signals across compute, GPU, InfiniBand/RoCE networking, storage, Kubernetes, and AI workloads. Devel

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As a Senior Analytics Engineer, you’ll be responsible for laying the foundation for a best-in-class analytics function. You’ll partner closely with our data science team and business stakeholders to ensure that our analytics stack and processes meet the business needs today with an eye towards the future. What you’ll do as an Senior Analytics Engineer at Vanta: Design and implement complex data models to enable dashboards, self-serve analytics, and data science teams. Write highly tuned, scalable SQL queries running over large-scale, heterogeneous data warehouses. Enable AI tooling with semantic layers and observability, guiding analytics functions on best practices. Manage and improve data infrastructure needed to drive data-driven decision-making solutions. Help develop front end applications to expose analytical data sets enterprise wide Work with the Product and Corporate Engineering system teams to structure source systems for reporting consumption across the enterprise. How to be successful in this role: Have at least four years of experience working with data and two years of experience in Software Engineering or a related field. Have experience with common analytics tooling (e.g. dbt is a must, Stitch/Fivetran, Snowflake/BigQuery/Redshift, Airflow, Dagster, Looker/Mode/Sigma). Bring a system-oriented and software engineering mindset to the Analytics Engineering practice. We’re looking to build frameworks that manage data, and minimize bespoke queries. Deep knowledge of crafting dimensional and fact models in modern data fashion. Have a passion for enabling the developer experience of data, and being obsessed with giving

What we're building Mutiny is the self-improving AI infrastructure for GTM teams to execute faster and close more revenue. Our ambition is to do for revenue velocity what Cursor and Claude Code did for engineering velocity. With Mutiny, everyone in sales and marketing gets a bench of GTM athletes that handle any work across their revenue motion and learn from what's actually moved their deals. In April we re-launched the product as an agent-first platform. Anthropic showcased us as a leader in AI GTM. MRR is growing more than 70% month-over-month, with customers like Uber, Rippling, and Snowflake. We're backed by Sequoia, YC, and Insight, and we're building a generational company. The opportunity Most CS roles are graded on how few problems the customer has. You'll be graded on how much they grow. As a growth strategist at Mutiny, you'll own a book of managed accounts and become the reason teams at customers like Rippling, Uber, and Snowflake get more out of AI than their peers. CS isn't a support function here. It's how we turn early traction into the customer base that defines a category. You'll build the playbooks as you go and shape what customer success looks like at an AI-native company from the ground up. This role is in person in New York City, five days a week. What you'll own Your book. Onboarding, adoption, retention, and expansion across your managed accounts. Every customer outcome runs through you. Customer expertise. Become the expert on how each customer's business works and where Mutiny fits in. Translate that into "aha" moments that move their roadmap. The AI motion. Teach customers how to use our agent-first platform to create assets that actually move the needle for their sales and marketing teams. Their team uses Mutiny because you made it obvious how. EBRs that move things. Run business reviews that tell a real story and drive action. Follow-ups that are crisp and lead somewhere. Renewals and expansion. Build the case six months before it comes

What we're building Mutiny is the self-improving AI infrastructure for GTM teams to execute faster and close more revenue. Our ambition is to do for revenue velocity what Cursor and Claude Code did for engineering velocity. With Mutiny, everyone in sales and marketing gets a bench of GTM athletes that handle any work across their revenue motion and learn from what's actually moved their deals. In April we re-launched the product as an agent-first platform. Anthropic showcased us as a leader in AI GTM. MRR is growing more than 70% month-over-month, with customers like Uber, Rippling, and Snowflake. We're backed by Sequoia, YC, and Insight, and we're building a generational company. The opportunity Most post-sales leaders inherit a process. You'll build it. As our AI strategist lead, you'll own Mutiny's managed account book and lead the technical solutions function that backs up our most complex customers. The teams running Mutiny (Rippling, Uber, Snowflake, Zendesk, and Gusto) are betting hard on AI, and they need post-sales partners who move their roadmap forward, not just their renewal date. You'll set the bar for what great support looks like, build the playbooks that let CS scale, and step into people management as we hire AI strategists underneath you. This role is in person in New York City. The teams running Mutiny (Rippling, Uber, Snowflake, Zendesk, and Gusto) are betting hard on AI, and they need post-sales partners who move their roadmap forward, not just their renewal date. They don't need a partner who tracks their renewal date; they need one who moves their roadmap forward and shows them what's possible with the product before they ask. You'll set the bar for what great looks like, build the playbooks that let CS scale, and grow into people management as we hire AI Strategists underneath you. This role is in person in New York City. What you'll own The managed book. Onboarding, adoption, retention, and expansion across every managed account at Mutiny. T

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. Our EPD Recruiting team builds the teams that build Plaid. We partner with leaders across Product, Engineering, and Design to deliver thoughtful, candidate-first processes and continually raise the bar for how we scale. Within that, our team owns Product and Design recruiting. We are responsible for delivering world-class talent through pragmatic, data-informed, and principle-aligned recruiting practices that help Plaid scale with intention. We are hiring a Senior Product Sourcer to support Plaid’s growing Product organization. Product Managers at Plaid are builders, thinkers, and connectors who shape how millions of people experience financial freedom — and this role is key to bringing that talent in. As a senior sourcer, you will partner closely with Product leaders and recruiters to drive the top of funnel strategies for specialized and niche Product searches. You will own the research,, manage pipelines, guide hiring teams, and provide data-driven insights that help leaders make smarter hiring decisions. This is a high-impact, high-visibility opportunity where your work will directly influence how Plaid builds its product organization and scales to meet ambitious goals. Responsibilities: Build a

Datadog is seeking a Director of Product Management to lead our AI Observability portfolio and shape how organizations build, monitor, and scale AI systems in production. This role leads LLM Observability and helps define the next wave of innovation across GPU Monitoring, Distributed AI Monitoring, and emerging research-oriented tooling such as Model Lab. You will set the vision and strategy for this rapidly growing area, expanding established products while incubating new capabilities that deliver deep visibility into AI infrastructure, model performance, and distributed AI environments. As AI becomes core to modern applications, this team plays a critical role in ensuring customers can deploy and scale AI with confidence. We’re looking for a builder-minded product leader with strong technical depth and hands-on curiosity - someone who has built or worked closely with AI-powered products and understands the realities of production AI. You will lead a team of product managers and partner closely with engineering and design to advance Datadog’s leadership in AI observability. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Own the vision and strategy for AI-driven products, ensuring alignment with overall company goals and customer needs. This will include managing our embed program to enhance the capabilities of existing products as well as developing dedicated and independent AI products. Lead and mentor a team of product managers, helping them grow and advance their careers while ensuring the delivery of high-quality, AI-powered features. Collaborate with cross-functional teams including engineering, data science, marketing, and sales to deliver AI product solutions that meet customer needs and business objectives. Identify new opportunities for

About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. The Payments team works across product, engineering, design, and finance to build the financial infrastructure that makes OpenAI’s products accessible to consumers and enterprises around the world. As AI introduces new ways for people and organizations to work, the team is defining how to support and monetize emerging forms of product usage, from usage-based pricing to agentic work. We’re building the foundational systems that help OpenAI products deliver clear, reliable, and scalable payment experiences while ensuring that this powerful technology is deployed responsibly. About the Role In this role, you’ll lead design for one of OpenAI’s most foundational product areas: the payments and monetization infrastructure that supports our consumer and enterprise products. You’ll partner closely with product, engineering, and cross-functional teams to shape how customers understand, manage, and pay for entirely new kinds of AI usage. Your work will extend beyond traditional checkout and billing. You’ll help define the systems, frameworks, and experiences behind durable pay-as-you-go models, Codex usage, and agentic workflows, translating complex business and technical requirements into intuitive experiences. As a product designer in a highly ambiguous and rapidly evolving space, you’ll influence both product strategy and the underlying infrastructure that OpenAI products depend on. This role is based in our San Francisco HQ. We offer relocation assistance to new employees. In this role, you will: Lead the design direction for foundational payments, billing, and monetization experiences across OpenAI’s consumer and enterprise products. Design and ship high-quality, end-to-end product experiences, from early systems and interaction concepts to high-fidelity prototypes and production-ready designs. Shape the infrastructure and product frameworks that support em

About the Team Our Inference team brings OpenAI’s most capable research and technology to the world through our products. We empower consumers, enterprise and developers alike to use and access our start-of-the-art AI models, allowing them to do things that they’ve never been able to before. We focus on performant and efficient model inference, as well as accelerating research progression via model inference. About the Role We are looking for an engineer who wants to take the world's largest and most capable AI models and optimize them for use in a high-volume, low-latency, and high-availability production and research environment. In this role, you will: Work alongside machine learning researchers, engineers, and product managers to bring our latest technologies into production. Work alongside researchers to enable advanced research through awesome engineering. Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of our model inference stack. Build tools to give us visibility into our bottlenecks and sources of instability and then design and implement solutions to address the highest priority issues. Optimize our code and fleet of Azure VMs to utilize every FLOP and every GB of GPU RAM of our hardware. You might thrive in this role if you: Have an understanding of modern ML architectures and an intuition for how to optimize their performance, particularly for inference. Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done. Have at least 5 years of professional software engineering experience. Have or can quickly gain familiarity with PyTorch, NVidia GPUs and the software stacks that optimize them (e.g. NCCL, CUDA), as well as HPC technologies such as InfiniBand, MPI, NVLink, etc. Have experience architecting, building, observing, and debugging production distributed systems. Bonus point if worked on performance-critical distributed systems. Have need

About the Team The Strategic Finance team at OpenAI plays a critical role in shaping the company’s long-term trajectory. We partner closely with Product, Engineering, and Go-To-Market teams to inform high-stakes decisions through rigorous data science and economic modeling. As part of our expanding Data Science function, we’re building a best-in-class Forecasting capability to drive real-time, data-driven decision-making across user growth, revenue, compute infrastructure, and more. We are developing scalable forecasting infrastructure to help us understand and anticipate business dynamics in an increasingly complex, usage-based world. Our models are foundational to planning, pricing, operational efficiency, and growth strategy - supporting key investment decisions and unlocking OpenAI’s full potential. About the Role We’re looking for a senior Machine Learning Data Scientist to lead our forecasting initiatives. You’ll be one of the founding members of the Forecasting pillar within Strategic Finance Data Science, responsible for building and scaling robust, interpretable, and production-ready forecasting systems. Your models will power critical business decisions by predicting core metrics such as DAU/WAU, revenue, LTV, compute consumption, and profitability. This is a highly cross-functional role, requiring technical excellence, strong product intuition, and business acumen. You’ll collaborate with product managers, researchers, engineers, and finance leaders to operationalize forecasting insights, influence company-wide strategy, and build foundational forecasting capabilities at OpenAI. 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: Build statistical and machine learning models to solve forecasting needs across product, finance, infrastructure, and GTM domains. Own the end-to-end modeling lifecycle , including scoping, feature engineerin

Who Are We? Postman is the world’s leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration—enabling users to create better APIs, faster. The company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman. P.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman. The Opportunity As Senior Director of Enterprise Sales, you will lead one of Postman’s most critical growth engines. You will be responsible for setting enterprise sales strategy, scaling and developing senior sales leaders and Enterprise Account Executives, and delivering predictable, durable revenue growth across large, complex organizations. This role is designed for a proven second-line sales leader who can operate at both a strategic and operational level—aligning executive vision with frontline execution while partnering closely with Product, Marketing, Solutions Engineering, and Customer Success. Location: This is a fully remote role. What You’ll Do Own Enterprise revenue outcomes, consistently delivering against quarterly and annual bookings targets. Lead, mentor, and develop Directors, Managers, and senior Enterprise sellers, building a deep leadership bench. Define and evolve Enterprise sales strategy, including segmentation, coverage models, account allocation, and capacity planning. Establish operating rigor across forecasting, pipeline inspection, deal reviews, and execution cadence. Drive excellence in

Who Are We? Postman is the world’s leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration—enabling users to create better APIs, faster. The company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman. P.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman. The Opportunity As Senior Director of Enterprise Sales, you will lead one of Postman’s most critical growth engines. You will be responsible for setting enterprise sales strategy, scaling and developing senior sales leaders and Enterprise Account Executives, and delivering predictable, durable revenue growth across large, complex organizations. This role is designed for a proven second-line sales leader who can operate at both a strategic and operational level—aligning executive vision with frontline execution while partnering closely with Product, Marketing, Solutions Engineering, and Customer Success. Location: This is a fully remote role. What You’ll Do Own Enterprise revenue outcomes, consistently delivering against quarterly and annual bookings targets. Lead, mentor, and develop Directors, Managers, and senior Enterprise sellers, building a deep leadership bench. Define and evolve Enterprise sales strategy, including segmentation, coverage models, account allocation, and capacity planning. Establish operating rigor across forecasting, pipeline inspection, deal reviews, and execution cadence. Driv

Where Performance Meets Purpose Join a team that values excellence and innovation, at a company known for its iconic golf brands. At Acushnet Company, your background and experience contribute to creating the best products for dedicated golfers worldwide. Here, your performance has purpose. What You Will Be Doing We’re seeking a data-driven and collaborative Lead Digital Technology & Marketing Analytics professional to help transform data into actionable business insights across digital, marketing, operations, and enterprise functions. In this role, you’ll work closely with stakeholders across digital marketing, customer service, operations, engineering, R&D, and IT to support the integration, management, and analysis of data from a variety of sources. You will be responsible for developing, testing, and maintaining dashboards, reports, visualizations, and self-service analytics solutions that enable business users to make informed decisions and support strategic initiatives. Partnering with centralized data and technology teams, you’ll help define data architecture, manage data pipelines, validate datasets, develop data models, and support data governance best practices across the organization. As a key member of the analytics function, you will drive adoption of analytics tools through user training and enablement, collaborate on prioritizing business requests, and contribute to test-and-learn initiatives including A/B testing and incremental analysis. Your ability to identify trends, uncover opportunities, and communicate insights clearly will play a critical role in advancing data-driven decision making across the business. What You Bring · Bachelor’s degree in Data Science, Computer Science, Business, Econo

Become a part of our caring community The Lead Technology Leadership Professional is responsible for all aspects of software or hardware product delivery and performance. The Lead Technology Leadership Professional works on problems of diverse scope and complexity ranging from moderate to substantial. The Lead Technology Leadership Professional works with design engineering and test team to drive products from design completion to volume production release. Performs various engineering tests to verify and validate product designs. Supports product evaluation and qualification on leading edge technology components. Ensures that production schedules are followed and product(s) meet specifications and quality requirements. Interacts with product engineering, quality, manufacturing and marketing teams to analyze and provide technical support to help resolve customers' product related problems/issues. Advises executives to develop functional strategies (often segment specific) on matters of significance. Exercises independent judgment and decision making on complex issues regarding job duties and related tasks, and works under minimal supervision, Uses independent judgment requiring analysis of variable factors and determining the best course of action. Use your skills to make an impact Required Qualifications Bachelor's degree 2 or more years of project leadership experience Experience with the technologies in use in the application(s) or infrastructure Experience with unit testing and mocking Ability to manage multiple tasks and deadlines with attention to detail. Ability to communicate effectively and deliver presentations to senior leaders Advanced experience leading special projects and producing metrics, measurements and trend reports Must be passionate about