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, Seattle, Washington D.C., Raleigh, London, and Amsterdam. The Data team within Plaid’s Fraud organization builds the machine learning systems that power Plaid’s fraud detection products, leveraging Plaid’s unique network data to identify and stop fraud before it happens. The team owns the full ML lifecycle—from feature pipelines and model training to production serving and monitoring—building reliable, scalable systems that deliver high-quality fraud detection as we grow to support hundreds of customers. As a Senior Machine Learning Engineer, you will own the development of high-performance feature computation and online inference pipelines that power production machine learning systems at scale. You’ll build robust observability, monitoring, and automated debugging capabilities, while leveraging AI-assisted tools to investigate complex system behavior and maintain high reliability. You’ll partner closely with ML Infrastructure, Data Science, and Product teams to execute critical technical initiatives and deliver scalable, high-impact ML solutions. Responsibilities: Build and scale machine learning systems that power a rapidly growing fraud detection product in a fast-paced environment. Solve complex technical challenges at the intersect
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Production Tech in United States
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Explore current production tech jobs across United States. Filter by work mode, employment type, experience, department, date posted and distance.
About the Team Customer education helps customers and partners build the practical skills and confidence to use AI and OpenAI products safely and effectively. The team focuses on role- and skill-based learning paths, practical content, and product experiences that accelerate learning in the workplace. It brings together learning and enablement expertise, field insight, product signals, and measurement to improve learner and business outcomes. Together, these experiences will help enterprise users build practical AI skills, apply them with confidence in their work, and demonstrate what they can do. Employers will gain a clearer view of workforce skills and progress, helping them recognize capability, focus development where it matters most, and build confidence in workforce readiness. About the Role We’re looking for a full-stack engineer to define and build a new class of learning experiences. This is an early-stage product area where technical judgment, product sense, and learner empathy are critical. You will be setting a technical vision for how people use AI to learn how to use AI, safely and beneficially. This is a hands-on, 0-1 product engineering role with broad technical and product ownership. You’ll set direction, make foundational decisions, and ship the first versions of experiences that can grow into the default way people learn at work. You will drive full-stack product experiences end to end, from prototype through launch, instrumentation, iteration, and production hardening. The work spans interaction design, frontend implementation, backend APIs and services, learner state, content and runtime integration, telemetry, evaluation, reliability, safety, accessibility, and launch readiness. You’ll work closely with our education, GTM, and engineering teams to translate how people learn into products people want to use. bring role- and skill-based learning paths into the product, designing coaching, feedback, and adaptive support which responds to each lea
About the Team The Core Services organization builds and runs the mission-critical online services that product teams rely on in production. We own foundational distributed systems and platform capabilities that enable reliable execution, high-performance services, and large-scale file/data needs across our products. This team is distinct from developer infrastructure and data infrastructure—our focus is production service foundations and core runtime services. About the Role We’re hiring an Engineering Manager, Core Services to help lead teams responsible for highly reliable, high-scale distributed systems that sit on the critical path for OpenAI products. Your team will own foundational production systems that OpenAI’s product engineering teams build on. You’ll collaborate closely with product and infrastructure partners to ship reliable services quickly, and help scale systems and teams as OpenAI grows. You’ll partner closely with senior engineering leaders to scale the org, mature operations, and drive major platform initiatives. This role requires strong technical ability. You’ll be responsible for: Managing and growing a high-performing team of infrastructure engineers. Leading teams building and operating large, critical production platforms, including cluster reliability, scaling, and rollout safety. Building and operating mission-critical distributed systems with strong operational rigor (SLOs, incident response, capacity planning, reliability). Setting technical direction for platform foundations such as workflow/orchestration capabilities, large-scale file/blob/storage services, and core service foundations. Partnering with a broad set of stakeholders, including product engineering, adjacent infrastructure teams, and (where relevant) finance/cost partners. Coaching, mentoring, and developing engineers and emerging leaders. You might thrive in this role if you: Have significant experience leading teams that run mission-critical infrastructure in production
About the Team OpenAI’s GTM Partnerships team builds a strategic, global partner ecosystem to accelerate customer success, enable responsible enterprise AI adoption, and drive durable growth in support of OpenAI’s mission. We work cross-functionally across Sales, Solutions, Product, Engineering, Security, Legal, Finance, Marketing, Operations, and Customer Success to translate strategic partnerships into measurable outcomes for customers. Global consulting and advisory partners are essential to helping enterprises move from AI strategy to production deployment. PwC brings global reach, deep industry and functional expertise, technology and transformation capabilities, and longstanding relationships with complex and regulated enterprises. This role will lead OpenAI’s global partnership with PwC and create the strategy, operating model, and field motions needed to turn that relationship into repeatable customer and commercial impact. This role is based in San Francisco, New York City, or Seattle. We use a hybrid work model of three days in the office per week. About the Role We are hiring a Partner Director, PwC to serve as the single accountable owner of OpenAI’s strategic relationship with PwC globally. You will define the partnership thesis and joint business plan, build executive alignment, activate PwC’s industry, advisory, technology, sales, and delivery organizations, and develop repeatable go-to-market motions that accelerate enterprise AI adoption. This is a strategic and hands-on leadership role. You will move fluidly between senior executive engagement, joint account and opportunity strategy, solution and delivery alignment, field enablement, governance, and day-to-day execution. Success requires a strong understanding of how a large, matrixed professional-services organization operates, commercial discipline, technical fluency, and the ability to align teams without relying on formal authority. The ideal candidate has led a high-impact global alliance with
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 115,000 colleagues serve people in more than 160 countries. JOB DESCRIPTION: Job Description Night Shift Production Operator - Tetra - Casa Grande, AZ The Production operator will follow established procedures and guidelines to manufacture the organization's products according to production specifications and schedules, volume, cost, and wastage targets, and quality standards. Working at Abbott At Abbott, you can do work that matters, grow, and learn, care for yourself and your family, be your true self, and live a full life. You’ll also have access to: Career development with an international company where you can grow the career you dream of. Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year. An excellent retirement savings plan with a high employer contribution Tuition reimbursement, the Freedom 2 Save student debt program, and FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree. A company recognized as a great place to work in dozens of countries worldwide and named one of the most admired companies in the world by Fortune. A company that is recognized as one of the best big companies to work for as well as the best place to work for diversity, working mothers, female executives, and scientists. </li
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. Staff Software Engineer is responsible for the techno-functional impact analysis, design & code construction activities associated with development of software releases for the CVS Retail Pharmacy systems. Strong technical, functional, and interpersonal skills are key to perform this role successfully. The current suite of systems includes multiple applications including, but not limited, to the Tier 1 systems for Retail Pharmacy. The Staff Software Development Engineer will be involved throughout the entire development life cycle of a product and must be able to deliver an efficient solution, as well as identify and properly mitigate any risks to the product before deployment to production. ** This role is located in RI , Woonsocket** Required qualifications: 7+ years of software development experience in enterprise/web applications 5+ years of experience as full stack developer in Java-based technologies including microservices and spring boot framework /REST 5+ years of experience Cloud Technologies like Azure, GCP or other public cloud services and Knowledge of open-source packages especially those provided by Apache, Google, and Spring 2 + years of experienc
Job Details: Job Description: This position is in the Intel Mask Operations within the Logic Technology Development team working in one of the most advanced semiconductor process technologies in the world. In this position the engineer will be an integral contributor to the ongoing production of photolithography masks for Intel's leading-edge silicon manufacturing solutions. In this position, you will work on-site, in a dynamic and collaborative environment solving complex and challenging technical problems on sophisticated manufacturing processes and equipment. As IMO module Engineer the responsibilities may include but not limited to: Process equipment installation and development. Equipment maintenance, management of troubleshooting activities, regular monitoring of process performance, defect analysis and reduction. Drives improvements on quality, reliability, cost, yield, process stability/capability, productivity, and safety/ergonomics. Working with cross functional teams to solve technical process and defect issues. Plans and conducts experiments to fully characterize the process throughout the development cycle. Establishes control systems to optimize and sustain production performance. Develops strategies to resolve difficult problems and establishes systems to manage these problems in the future. An ideal candidate should exhibit the below behavioral traits: Experience with rapid analysis of complex process issues and identification of a solution path Willing to work Independently with minimal direction, to be self-directing and show initiative Communication skills and demonstrated ability to summarize complex d
NVIDIA has transformed computer graphics, PC gaming, and accelerated computing for more than 25 years through exceptional technology and the people who build it. In semiconductor manufacturing, our role is to enable the ecosystem, not compete within it. We partner with fabs, equipment manufacturers, and software providers to make inspection, metrology, and manufacturing intelligence dramatically faster on the NVIDIA platform. Our team builds the software that makes this possible: models, adaptation and evaluation workflows, and deployable inference capabilities that partners integrate into their own tools. We work in environments where labeled data is limited and proprietary, distributions shift across tools and fabs, production budgets are tight, and software must operate inside air-gapped facilities. We’re seeking a Principal Systems Software Engineer for Semiconductor Inspection in Santa Clara. This is a hands-on architect role: you will define the approach, build it, evaluate it, and demonstrate the results. You will work across computer vision, time-series modeling, multimodal AI, anomaly detection, model adaptation, evaluation, and production inference. Success means technology that a fab or equipment vendor can integrate, operate, and trust—not only a successful internal demonstration. What you’ll be doing: Define and prototype AI system architectures spanning optical and e-beam inspection, wafer and mask inspection, metrology, defect review, equipment signals, and process data. Advance world foundation model capabilities for semiconductor manufacturing, including vision, time-series and multimodal representation learning, model adaptation, domain transfer, and data-scarce defect understanding. Develop workflows for defect detection, classification, localization, segmentation, nuisance filtering, ADC, AD
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 an Intern Product Yield Enhancement (PYE) Engineer at Micron Technology Inc., you will assist in taking next generation DRAM devices from design to mass production! PYE Engineers are crucial partners between Research and Development, Manufacturing, Product Engineering and Global Quality teams. Our goal is to offer hands-on and substantial engineering projects that allow interns to gain valuable experience with memory systems and the product life cycle while adding impact to Micron’s business. Our intern programs help prepare engineers for future roles and offer an extraordinary experience that supplements your academic experience! The PYE Engineering role is critical to Micron as it serves the company's charter to be the most cost-effective producer of DRAM memory while delivering the quality and reliability that customers expect from the Micron brand. This position is for a 3-month internship. Responsibilities: Your job duties will include detailed DRAM electrical and physical failure analysis. Identify defects introduced by the semiconductor fabrication process. You will data mine using statistical analysis, AI assisted engineering tools, and automation workflows. Find the root cause of failure mechanisms, communicating results with Management, Product, Process and Test Engineering teams. Complete 3-month internship. Minimum Qualifications: Must be pursuing a minimum of a bachelor’s degree in Electrical Engineering, Computer Engineering,
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
As a Product Marketing Manager for NVIDIA NIM, you will play a pivotal role in helping enterprises deploy AI. NVIDIA NIM is revolutionizing AI from experimentation to production, packaging optimized, production-ready models for rapid deployment. Our product marketing team operates at the intersection of developer tooling and enterprise go-to-market, ensuring that our narrative resonates with ML engineers and CTOs alike. If you relish diving into technical depth and translating it into compelling stories, this is the perfect opportunity! What you will be doing: Launching products: You'll build and manage launch plans for high-visibility NIM releases, coordinating assets, timelines, keynote slides, demos, and press materials while driving cross-functional execution with product management, engineering, technical marketing, and PR or equivalent experience. You'll align the team on messaging and positioning for NIM across developer and enterprise audiences. You will develop messaging docs, sales enablement materials, customer presentations, solution overviews, and web content. Driving awareness: You'll identify target audiences and content gaps, then build the assets that fill them — blogs, webinars, demos, solution briefs, and more. Crafting the ecosystem story: You'll drive co-marketing engagements with NVIDIA's model providers, cloud partners, and ISV ecosystem to showcase the full range of possibilities with NIM. Collaborating with PR: You'll work with PR on press launches to ensure the NIM story is accurate, compelling, and consistent across every channel. What we need to see: Excellent written and verbal communication skills, with a proven track record of articulating technical value to both developer and executive audiences. College degree or equivalent experience. More t
About the Team OpenAI, in partnership with our capital and technology partners, is building a global network of advanced datacenters to support the most demanding AI workloads. The Infrastructure Quality team ensures that all datacenter systems are manufactured, delivered, and commissioned to the highest standards of quality, reliability, and performance. We work closely with manufacturing partners, general contractors, engineering teams, and operations staff to ensure that every component is delivered ready for installation, startup, and long-term service. Our work spans from vendor qualification through commissioning, ensuring operational readiness across our global portfolio. About the Role We are seeking an experienced Manufacturing Quality Engineer (MQE) to establish, implement, and manage a manufacturing-focused quality program for datacenter infrastructure. This role will be responsible for vendor oversight, quality assurance, process improvement, and issue resolution for all critical systems. You will lead vendor audits, monitor performance metrics, and coordinate corrective actions to ensure predictable delivery schedules, reduced risks, and operational reliability. By partnering with vendors, construction teams, and internal stakeholders, you will help ensure OpenAI’s datacenters are delivered on time and built to the highest operational standards. Travel Domestic and international travel as needed (estimated 40–60%) to manufacturing sites, datacenter locations, and partner facilities. Key Responsibilities Vendor Oversight & Performance Management Conduct manufacturing evaluation, audits, and improve vendor performance across production, inspection, testing, and delivery phases. Develop and track quality metrics to assess manufacturing performance and identify trends. Partner with vendors to refine processes, training, and quality controls to mitigate risks before shipment. Program Development & Execution Develop and maintain a datacenter-focused m
As a Senior Backend Engineer on Coder's Enterprise Experience team, you'll build the systems that help large organizations run Coder in production with confidence. You'll improve how Coder scales, how it's upgraded, and how reliably it performs in regulated, air-gapped, and enterprise environments. You'll work on a genuinely cross-functional team of backend, platform, and QA engineers who own the end-to-end experience for Coder operators. From designing new features to evolving Coder's architecture, you'll partner across engineering and product to solve complex problems and ship software that operators trust. What you'll do here Design and build new features end to end, from technical design through production rollout. Design and implement backend architecture changes that support Coder's long-term scalability goals. Investigate and resolve scalability bottlenecks under production-like load, from database access patterns to concurrency handling in coderd. Improve database migration safety and upgrade reliability through schema compatibility, background migrations, and safe rollback strategies. Own the backend side of issues surfaced by Coder operators and administrators. Document the design, implementation, and operational tradeoffs of the systems you build. Participate in code reviews, RFC-style design discussions, and on-call rotations for the services you own. What we're looking for 5+ years of professional software engineering experience, including significant production experience with Go. Deep understanding of Go's concurrency model, including goroutines, channels, the sync package, and debugging race conditions under real-world load. Experience designing and operating relational databases in production, including schema design, migrations, and transactions. Strong verbal and written communication skills. Exceptional debugging and troubleshooting skills, with the persistence to drive complex problems to resolution. A self-motivated, analytical engineer who enj
ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. ABOUT THE ROLE As a Event Marketing Manager, you will lead the development and execution of regional marketing strategies to support sales goals, drive demand, and enhance brand awareness. This role requires a strategic thinker with a builder mentality that has a strong understanding of the New York tech ecosystem. RESPONSIBILITIES Develop and execute regional field marketing plans and programs to align with sales priorities and pipeline goals. Plan and manage events to drive demand, accelerate pipeline, and engage customers. Own program management, including event logistics, budget oversight, and vendor coordination. Analyze and report on campaign effectiveness, providing insights to optimize future initiatives. Collaborate with product marketing to align messaging and go-to-market strategies with field initiatives. Prioritize seller requests by expected revenue. Represent Baseten at industry events and build brand presence in-market. QUALIFICATIONS Bachelor’s degree in Marketing, Business, or related field. 5-7 years of experience in field marketing in the technology or SaaS industry. Proven track record in delivering and optimizing demand generation programs to meet pipeline goals. Strong understanding of sales processes. Proficiency with marketing tools such as Salesforce & Hubspot. Excellent project management skills with the ability to prioritize and execute multiple initiatives simultaneously. Collaborativel
ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE As an Outbound Sales Development Representative at Baseten, you'll drive strategic outbound into a defined set of target accounts - partnering closely with your Account Executive to research key decision-makers and break through via cold calls, email, and LinkedIn. Together, you'll turn cold accounts into qualified pipeline. RESPONSIBILITIES Build revenue pipeline by setting introductory meetings with potential businesses and key decision makers. Help influence Baseten's product roadmap for customers and prospects. Identify high-potential businesses and verticals and develop and execute outbound strategies to bring them to Baseten. Stay up-to-date on market trends, competition, and industry developments. Manage and document the progression of the sales pipeline. Drive pre- & post-engagement at industry events (will attend multiple events in person). REQUIREMENTS 1+ year of experience in a sales/lead generation role in a high-tech/SaaS company. Ability to develop strong, long-lasting relationships both internally and externally. Collaborative and coachable, always looking to improve your skills and impact. Ability to handle rejection and stay persistent in pursuing leads. Excellent verbal and written communication skills. A basic understanding of a standard SaaS seller's technical stack (CRM, Outreach/Salesloft, Prospect Research, etc.). Excellent time management, process, and prioritization skills. Preferr
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