Principal Technical Consultant in United States

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 Principal Software Engineer Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Overview We are seeking a hands-on Principal Forward Deployed Engineer to accelerate delivery across Mastercard Services. Modeled on the forward deployed engineering role that leading technology companies embed alongside their most important customers, this position turns that model inward. You will deploy into Services programs as an internal partner who writes production code, unblocks delivery, and puts AI to work in how we build. Reporting to the SVP of Developer Enablement within the Services Enablement & Transformation (SET) organization, you will move to wherever the need is greatest, adding s

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

The Principal CRO and Web Analyst will drive the insights, measurement, and experimentation that shape Datadog’s website roadmap and improve how users discover, learn, and convert. You’ll use data to uncover opportunities, size impact, guide prioritization across high-value pages and journeys, and inform audience segmentation and personalization. This role combines analytical depth, clear storytelling, and hands-on execution across testing and optimization while shaping the experimentation culture and strategy that the broader team operates within. You’ll partner closely with Marketing, Product, and Web Engineering to deliver measurable gains in engagement and conversion. 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 website analytics, KPI frameworks, and user behavior insights to inform the website roadmap Identify performance gaps using data, benchmarks, funnel analysis, and user behavior patterns Translate insights into clear recommendations, prioritization frameworks, and experimentation plans Define and scale Datadog’s web experimentation program, including testing strategy, methodology, and best practices Improve engagement and conversion through testing, optimization, segmentation, and personalization initiatives Partner with Marketing, Product, and Engineering to align experimentation with business priorities and present findings to senior leadership Who You Are: You have 10+ years of professional experience, including 6–8 years in conversion rate optimization, web analytics, experimentation, or a related field You have strong analytical and problem-solving skills, with the ability to turn data into clear narratives and decisions You have experience with user behavior data, funnel reporting, audience segmentation, and testing methodologies

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. At NVIDIA, as a Principal Rack Scale Systems Infrastructure Engineer, you will build and guide the development of software systems. These systems support our upcoming rack-scale infrastructure products and services. This exceptional role sits where software meets hardware. You will work on control planes, state machines, orchestration systems, firmware, OS lifecycle, and networking fabrics. Your task is to compose infrastructure-as-a-service control plane software that converts complex rack-scale hardware into dependable, manageable, and programmable infrastructure for NVIDIA, partners, and leading cloud and enterprise clients globally. What You Will Be Doing: Define the complete software architecture for rack-scale infrastructure products and services, covering control plane services, infrastructure management, firmware, operating systems, kernel drivers, networking fabrics, accelerator software, and user-mode manageability software. Use Kubernetes and cloud-native primitives as an infrastructure fabric when appropriate. This includes controllers, operators, reconciliation loops, and open source components. These components can operate safely at rack and fleet scale. Build open source infrastructure software that can b

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. LEAD. STRATEGIZE. TRANSFORM. JOIN US AS A PROFESSIONAL SERVICES PRACTICE MANAGER! Are you ready to own your impact at the forefront of the data revolution ? As a Services Practice Manager , you’ll be a key driver in transforming businesses through cutting-edge cloud data solutions . You’ll collaborate with top-tier clients, strategize with elite sales teams, and lead groundbreaking professional service engagements —all while working with the best minds in the industry! This role is completely remote and can be based anywhere in the Pacific or Mountain Timezone. WHY THIS ROLE? Be a Market Leader: Own and execute a strategic vision for Professional Services. Drive Meaningful Change: Work with clients to unlock the power of data and fuel digital transformations. Lead from the Front: Manage high-impact projects, ensure seamless delivery, and drive revenue growth. Collaborate with the Best: Work cross-functionally with top industry experts to shape the future of cloud data solutions. Crush Your Goals: Meet and exceed bookings, utilization, and consumption targets while delivering exceptional customer experiences . WHAT YOU’LL DO: Spearhead services sales execution and project delivery success for key accounts. Engage C-level executives to create and execute services roadmaps tha

Principal Software Engineer — San Francisco, CA, USA. Apply via Workday.

Drata is building the trust layer between great companies - automating compliance, managing risk, and helping organizations prove trust continuously as they scale. We're Dratanauts: a global crew of 600+ professionals united by a culture that rewards integrity, ownership, and raising the bar, no matter where in the world we're working from. Why Join the Drata Team? At Drata, you're not maintaining legacy compliance software - you're building the agentic AI platform defining what trust looks like for the next generation of companies. Here's what makes the work itself worth showing up for: Problems without a playbook: You'll work at the edge of AI and security, building agentic governance, continuous compliance, and real-time trust verification to solve problems that don't have an established answer yet. You're writing it as you go. Real ownership, not just process: Our values center on owning outcomes and raising the bar, not checking boxes. You're expected to have opinions and back them. A seat at the table: Your perspective is unique and valued. Open debate and diverse viewpoints are built into how decisions actually get made here, at every level. Growth at rocketship speed: Drata is scaling fast, which means scope grows fast too. High performers get more ownership, visibility, and experience. A crew, not just coworkers: Dratanauts consistently describe a "come as you are" culture with sharp, curious people—the kind of team that makes hard problems genuinely fun to solve. See what they say here and follow us on LinkedIn for company news, employee stories, and career updates. Job Summary: As Principal Product Operations, you will define and scale the operating model that enables Product, Design, and Engineering to execute with clarity, rigor, and speed. This is a highly strategic, cross-functional leadership role responsible for shaping how product investments are prioritized, planned, measured, and communicated across the company. You will partner closely with exec

Drata is building the trust layer between great companies - automating compliance, managing risk, and helping organizations prove trust continuously as they scale. We're Dratanauts: a global crew of 600+ professionals united by a culture that rewards integrity, ownership, and raising the bar, no matter where in the world we're working from. Why Join the Drata Team? At Drata, you're not maintaining legacy compliance software - you're building the agentic AI platform defining what trust looks like for the next generation of companies. Here's what makes the work itself worth showing up for: Problems without a playbook: You'll work at the edge of AI and security, building agentic governance, continuous compliance, and real-time trust verification to solve problems that don't have an established answer yet. You're writing it as you go. Real ownership, not just process: Our values center on owning outcomes and raising the bar, not checking boxes. You're expected to have opinions and back them. A seat at the table: Your perspective is unique and valued. Open debate and diverse viewpoints are built into how decisions actually get made here, at every level. Growth at rocketship speed: Drata is scaling fast, which means scope grows fast too. High performers get more ownership, visibility, and experience. A crew, not just coworkers: Dratanauts consistently describe a "come as you are" culture with sharp, curious people—the kind of team that makes hard problems genuinely fun to solve. See what they say here and follow us on LinkedIn for company news, employee stories, and career updates. Job Summary: We're looking for a Principal Product Marketing Manager to help drive how Drata brings products and capabilities to market. Drata's platform spans compliance automation, enterprise GRC, TPRM, trust center, and AI governance—a growing portfolio that requires coordinated, high-quality GTM execution across every launch. This is a senior role, no direct reports, high autonomy, and high

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 We’re hiring a highly influential product analytics leader who can turn ambiguous questions into sharp insight, scalable measurement, and recommendations that directly shape what we build. This person will partner closely with Product, Engineering, Design, and Growth to raise the bar on decision quality and establish a more AI-native analytics operating model. Mission Drive the product insight agenda by helping ClickUp make faster, smarter product decisions through rigorous analysis, strong product judgment, and AI-enabled analytics workflows. What You'll Do Own the product analytics agenda across product usage, activation, feature adoption, retention, and expansion, and translate open-ended business questions into structured analyses and clear recommendations Partner with Product, Engineering, and Design to define success metrics early, improve instrumentation quality, and ensure important product surfaces are measurable from launch Build reusable analysis frameworks, semantic layers, metric definitions, and self-serve resources that help product teams answer routine questions faster and more consistently Apply AI-first methods across the analytics workflow, using large language models, coding agents, and automation for tasks like query drafting, QA, validation, documentation, and first-pass synthesis while keeping human judgment at the center of final recommendations Design and interpret experiments, observational analyses, and trend investigations, including situations where data is incomplete or traditional experimentation is not feasible Surface meaningful patterns in behavioral, subscription, and

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the Role: This is a Principal Product Engineering role focused on Money Infrastructure at Replit. You’ll work on the financial backbone that powers how Replit earns money, how builders earn money, and how Agents transact. This role sits at the intersection of engineering, product, and the business. The systems you build directly impact revenue, trust, and some of the most critical user journeys on the platform. Getting them right enables growth, experimentation, and global scale. Getting them wrong creates broken payments, confusing pricing, and lost trust. We’re looking for engineers who can design and scale reliable financial systems while translating complex monetary logic into intuitive, user-friendly experiences for both Replit customers and builders on the platform. We love folks who have a passion for monetizing innovation and being a part of the greater pricing story. You will: Lead the design, architecture, and implementation of Replit’s core money infrastructure, spanning pricing, billing, payments, and monetization. Own and scale the global order-to-cash foundation supporting credit-based subscriptions, usage-based billing, marketplaces, in-app payments, and commerce for Agents. Enable rapid pricing and packaging experimentation across the company by building flexible abstractions and APIs for new SKUs, plans, and monetization models. Build high-converting, localized payment experiences across geographies — thinking globally while enabling users to pay locally. Power builder monetization by creating payment rails for apps, Agents, subscriptions, and new monetization primitives. Partner closely on data specifications with finance, accounting, and data teams to produce accurate, auditable, and reliable f

What you’ll do Partner with medical image reconstruction scientists / engineers to build ML components that improve reconstruction quality, speed, robustness, or quantitative accuracy. Define training/evaluation pipelines, datasets, and metrics that map to user needs and design requirements. Productionize models: inference performance, reproducibility, monitoring for drift/regressions, and safe fallbacks. Collaborate on hybrid algorithms, incorporating physics and learned priors, denoisers, learned regularizers, and quality estimation. Help build tooling for rapid experimentation as well as rigorous verification of algorithm changes. What we’re looking for Strong applied ML experience plus comfort with signal processing / imaging or adjacent domains. Ability to move fluidly between research prototypes and production-quality systems. Strong evaluation discipline: metrics, ablations, data leakage avoidance, and reproducibility. A demonstrated track record of applying ML to physics-based or inverse problems (i.e., shipped projects, a portfolio, or publications.) Useful experience ML for imaging/inverse problems (or adjacent) with strong evaluation discipline and comfort with GPU performance constraints. Pragmatic production mindset: reproducible training/inference, regression testing, and safe deployment in high-stakes contexts. A background in computational physics or scientific computing. Leverage ML-based methods such as PiNNs and Neural Operators to solve partial differential equations arising in ultrasound simulation and imaging. Experience in Agentic-SciML is a plus. Hands-on experience with data curation for ML: building datasets from messy, real-world sources, defining ground truth, and managing labeling or simulation pipelines. Background in data assimilation: combining observations with physics-based models (Kalman filtering, variational methods, ensemble approaches, or learned variants).

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. GitLab is an open-core software company that develops the intelligent orchestration platform for DevSecOps, used by more than 100,000 organizations and 50 million people. Our mission is to unlock every team to ship trusted software at the speed of imagination. Software is increasingly built by machines and directed by people. When agentic coding tools accelerate without context, governance, and lifecycle control, teams get speed with chaos. GitLab enables speed with control: customers deploy agents across the software development lifecycle (SDLC) with the orchestration, context, security, and governance to ship trusted software a

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role You will lead the product strategy for GitLab's next generation of engineering insight, helping software leaders, engineering managers, CTOs, and CPOs understand not just what their teams shipped, but why, and what to do next. As Principal Product Manager, Engineering Intelligence & Insights, you will shape how GitLab turns engineering data into decision-ready intelligence: the core data infrastructure and knowledge graph integrations that connect it, the out-of-the-box dashboards customers rely on today, and the conversational AI experiences that let leaders simply ask a question and get an answer in

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As Principal Product Manager, Software Factory, you’ll define and bring together GitLab’s end-to-end software creation experience, from planning and specification through coding, review, and verification. You’ll connect capabilities across GitLab Duo Agent Platform and the wider GitLab product so customers have a cohesive and delightful experience. This is a senior, high-visibility role for a product leader who can shape product direction, work across organizational boundaries, and clearly present recommendations to executive leaders. What you’ll do Define the product vision and strategy for GitLab’s end-

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your opportunity Every company shipping AI right now has the same problem: they can't see what their AI is actually doing in production. New Relic is building the answer, AI Observability, and it's one of the company's top strategic initiatives. We're running it like a startup inside the company: small teams, fast iteration, direct executive sponsorship, and a mandate to ship. As the Principal Product Manager and business owner of this initiative, you'll take it from vision through GA, then keep pushing past GA, where most of the real work actually happens, working directly with some of the largest AI deployments in the world. What you'll do Own the AI Observability roadmap and the business outcomes leadership tracks (adoption, retention, expansion), plus the parts of the job that aren't purely product: pricing conversations, exec reporting, and cross-functional escalations. Drive multiple engineering and design teams in parallel toward a coherent product vision, without formal authority over them. Partner directly with strategic enterprise customers, including their platform and infra teams deciding how to operationalize AI safely, and turn what breaks at their scale into product requirements fast enough to matter. Build working prototypes yourself using agentic AI workflows, so ideas get pressure-tested before engineering time is committed to them. Represent AI Observability in executive strategy and prioritization decisions, and make the tradeoff calls when prioritie