Jobs in United States

Delivery Senior Engineer in United States

4,567 active opportunities · Updated October 2026

Explore current delivery senior engineer jobs across United States. Filter by work mode, employment type, experience, department, date posted and distance.

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📍 San Francisco, CA, United States
✓ Quality checkedCompany trend -96.2%

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The Role At SoFi, we're building AI capabilities that fundamentally change how our teams operate, innovate, and serve our members. We're looking for a Senior Director, AI Enterprise Transformation to lead enterprise-wide AI adoption by partnering with technology and business leaders to identify, prioritize, and deliver high-impact AI initiatives. This is a highly cross-functional leadership role for someone who combines deep technical understanding of modern AI technologies with exceptional executive influence and change leadership. You will work across Engineering, Product, Enterprise Architecture, Data, Corporate IT, Operations, and business functions to accelerate AI adoption, establish best practices, and drive measurable business outcomes. Success in this role requires someone who can translate emerging AI capabilities into scalable enterprise solutions while inspiring teams across SoFi to embrace new ways of working. You will serve as both a strategic advisor and transformation leader, helping shape SoFi's AI roadmap and ensuring AI investments deliver meaningful impact across the company. What You'll Do Lead enterprise-wide AI transformation initiatives that improve operational efficiency, employee productivity and growth for SoFi. Partner with executive leadership to develop and execute SoFi's AI tr

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📍 Massachusetts, New York, United States· Full-time
✓ High-confidence listingCompany trend -88.9%
Quick readStrong listing-quality and freshness signals

As a Senior Product Manager for Serverless at Datadog, you will define and deliver products that help developers monitor and operate serverless applications at scale. You’ll own the strategy and execution for Datadog’s AWS Serverless observability offering, building experiences that provide visibility into distributed systems and simplify debugging and operations. This role sits at the intersection of cloud infrastructure, developer experience, and AI-powered workflows, and is ideal for a PM who thrives in highly technical product areas. You will work cross-functionally and with external partners to shape how customers build and run modern serverless applications. 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 and drive the roadmap for Datadog’s AWS Serverless observability products, including Lambda, Fargate, and Step Functions Define how developers monitor, debug, and operate serverless systems across distributed environments Partner with engineering and design to deliver end-to-end product capabilities from concept through launch and iteration Collaborate with AWS product teams to align roadmaps and deliver joint solutions for shared customers Engage with customers to understand serverless adoption patterns and validate product direction Define and track success metrics such as adoption, usage, and impact on developer workflows Who You Are: 5+ years of product management experience building technical products in areas such as cloud infrastructure, developer platforms, or observability Strong understanding of distributed systems, cloud-native architectures, and modern application development practices Familiarity with serverless technologies, containers, Kubernetes, or microservices environments Comfortable working closely with engineers and discu

AWSKubernetesMicroservicesAI
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📍 United States· Full-time
✓ Quality checkedCompany trend -99%

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: MarTech Data Science Measurement empowers Airbnb to optimize marketing ROI by generating data-driven recommendations. We lead the way in defining and advancing best practices for measuring and optimizing marketing impact. We collaborate with Marketing, Finance, and Engineering to provide actionable recommendations and tools based on effective, timely, and granular measurements. Our team’s tenets are: Actionable: Deliver insights that drive confident business decisions. Impactful: Prioritize projects based on their expected value to Airbnb. Balanced: Adapt methods to business questions and data realities, acknowledging limitations. Rigorous: Maintain methodological integrity and quantify the sensitivity of findings. Innovative: Invest in advancing measurement science and developing new methods. Influential: Share learnings across Airbnb and the broader data science community. The Difference You Will Make: We are seeking an experienced (Contract) Sr. Data Scientist for a 24 month contract with deep expertise in marketing measurement, with a particular focus on Marketing Mix Modeling (MMM) and geo-based causal inference. The ideal candidate brings strong statistical intuition and hands-on modeling experience to quantify the incremental impact of Airbnb's marketing investments across channels and geographies. They are fluent in Python, comfortable working with Bayesian frameworks, and can translate complex measurement findings into clear, actionable recommendations for senior stakeholders. A Typical Day: Marketing Mix Modeling: Design, build, and maintain MMM models that est

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📍 Menlo Park, California, United States· Full-time
✓ Quality checkedCompany trend -93.3%

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. This role is hybrid in-office at either our Menlo Park or Dublin, CA office We are hiring a Senior Manager, Technical Executive Recruiting for our People team. Our Technical Executive Recruiting team is responsible for identifying and closing Director+, Principal Engineering+, and other senior technical leadership talent that shapes Snowflake's engineering trajectory. This role exists to transform how we approach executive-level technical hiring: building proactive, market-informed strategies that position Snowflake as the destination for world-class engineering leaders, while strengthening our reputation as trusted advisors to internal stakeholders and external talent alike. RESPONSIBILITIES: Deliver hires that directly shape Snowflake's technical leadership bench and long-term technical strategy; includes Director+ leadership and world-class Principal & Distinguished Engineering talent Be a player/coach while leading a small team of executive recruiters and researchers focused on Director+ technical leadership and Principal/Distinguished Engineers across Snowflake's engineering and product management organizations Develop and execute proactive talent strategies that build long-term relationships with world-class technical leaders before roles are open Transform reacti

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📍 Purchase, New York, United States
✓ Quality checkedCompany trend +212.5%

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 Senior Analyst, Analytics & Metrics - Open Finance Overview The Strategic Customer Analytics - Open Finance team serves as a trusted analytics partner to Mastercard's Open Finance clients, helping customers understand performance, identify growth opportunities, and maximize value from Mastercard's data and connectivity solutions. The Senior Analyst, Analytics & Metrics will play a critical role in transforming complex datasets into actionable insights that drive business decisions for both internal and external stakeholders. This role combines advanced analytics, data storytelling, client consulting, and cross-functional collaboration. The successful candidate will partner closely with Customer Success, Product, Engineering, Business Intelligence, and executive leadership teams to develop performance reporting, investigate trends, uncover opportunities, and communicate findings through compelling analyses and presentations. The ideal candidate is highly comfortable working with large datasets, and capable of translating technical concepts into clear business recommendations. They will have opportunities to influence strategic initiatives, support key client relationships, and help shape the future of analytics within Mastercard's Open Finance organization. You will also collaborate closely with

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📍 Oregon, Hillsboro, United States
✓ Quality checkedCompany trend +116%

Job Details: Job Description: The Intel Logic Technology development (LTD) organizations delivers process technology innovation to drive Intel's product roadmap. We give you opportunities to transform technology and create a better future by delivering products that touch the lives of every person on earth. As a global leader in innovation and new technology, we foster a collaborative, supportive, and exciting environment where the brightest minds in the world come together to achieve exceptional results. We provide benefits that promote a healthy, enjoyable life: excellent medical plans, wellness programs, and amenities, time off, recreational activities, discounts on various products and services, and many more creative perks that make Intel a Great Place to Work. As a Process Integration Development Engineer, you will play a pivotal role in advancing Intel's semiconductor process technologies within the Logic Technology Development (LTD) group. Your day-to-day involves designing, optimizing, and implementing integrated process solutions that drive Intel's next-generation technology. By leveraging your expertise in process integration, yield analysis, and data-driven problem solving, you will contribute directly to the seamless transition of emerging technologies from development to high-volume manufacturing, ensuring Intel remains at the forefront of semiconductor innovation. Job Responsibilities include but are not limited to: ​ LTD Semiconductor Senior Process Integration Development Engineers are responsible for leading scientific research enabling the manufacture of innovative device architectures but not limited to: Lead scientific research enabling the manufacture of innovative device architectures coupled with the realization of these architectures. <li

Recruitment
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📍 Oregon, Hillsboro, United States
✓ Quality checkedCompany trend +116%

Job Details: Job Description: Join Intel and Build a Better Tomorrow What We Do The Intel Foundry Manufacturing Development and Customer Engineering (MDCE) and Logic Technology development (LTD) organizations delivers process technology innovation to drive Intel's product roadmap. What We Offer • We give you opportunities to transform technology and create a better future by delivering products that touch the lives of every person on earth • As a global leader in innovation and new technology, we foster a collaborative, supportive, and exciting environment where the brightest minds in the world come together to achieve exceptional results • We offer a competitive salary and financial benefits such as bonuses, life and disability insurance, opportunities to buy Intel stock at a discounted rate, and Intel stock awards (eligibility at the discretion of Intel Corporation) • We provide benefits that promote a healthy, enjoyable life: excellent medical plans, wellness programs, and amenities, time off, recreational activities, discounts on various products and services, and many more creative perks that make Intel a Great Place to Work Benefits We provide benefits that promote a healthy, enjoyable life: excellent medical plans, wellness programs, and amenities, time off, recreational activities, discounts on various products and services, and many more creative rewards that make Intel a Great Place to Work. Find more information about our amazing benefits here: Intel Benefits Key Responsibilities MDCE/LTD Semiconductor Senior Process Integration Development Engineers are responsible for leading scientific research enabling the manufacture

Recruitment
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Relocation support. Relocation assistance is stated. This does not establish visa sponsorship.
📍 San Francisco, California, United States· Full-time· Remote
✓ High-confidence listingCompany trend -84.1%
Quick readStrong listing-quality and freshness signals

About the Team OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. Within Premium Support, Dedicated Support Engineers combine deep technical troubleshooting with an enduring understanding of our most strategic customers’ architectures, critical workloads, and business priorities. Through proactive reliability work, ownership during incidents, and AI-powered support capabilities, we help customers operate successfully as their use of OpenAI grows. About the Role We’re looking for a senior leader to build and scale our Dedicated Support Engineering function globally. You will define its strategy, build the team, and establish how we deliver technically rigorous, proactive support for customers running some of the most complex and consequential workloads on OpenAI. This role combines organizational leadership, technical judgment, and executive customer engagement. You will establish a model in which DSEs develop deep customer context, independently advance difficult investigations, anticipate operational risks, and drive issues through resolution. You will also turn what the team learns into improvements that benefit customers across OpenAI. You should bring experience building technical organizations that maintain long-term accountability for enterprise customers. Leadership in Technical Account Management, enterprise Support Engineering, or a comparable technical customer function is particularly rel

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📍 Bellevue, Washington, United States· Full-time
✓ Quality checkedCompany trend -93.3%

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. Where Data Does More. Join the Snowflake team. Join our ML Feature Store team where we're building cutting-edge product capabilities that power complex feature transformations and low latency feature serving. We're revolutionizing machine learning feature management and serving capabilities as part of the Snowflake ML suite of products. In the era of GenAI and agents, our team delivers high-quality, fresh feature solutions that make a real difference for our customers. IN THIS ROLE AT SNOWFLAKE, YOU WILL: Help define and own the roadmap for Snowflake Feature Store, working collaboratively with senior architects and ML team leadership Build and execute a vision for incorporating new advances in machine learning Ensure operational excellence of services and meet reliability, availability, and performance commitments Collaborate across ML partner teams to improve development velocity and capabilities Support team members in delivering high technical quality WE WOULD LOVE TO HEAR FROM YOU IF YOU HAVE: 10+ years of experience in designing and building data serving infrastructure and/or machine learning platforms. Strong track record working with machine learning systems and platforms. Strong understanding of computer science fundamentals. B.Sc . in Computer Science Fluency in Ja

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📍 New York, New York, United States· Full-time
✓ High-confidence listingCompany trend -88.9%

From $220K/yr

Quick readStrong listing-quality and freshness signals

The Applied AI team designs and builds algorithmically driven features in the Datadog app. We work across a range of applications, primarily focusing on analysis on streaming data such as anomaly detection, error outliers and faulty deployment analysis. As an Applied Scientist you will work on building models and algorithms for machine learning powered features within the Datadog platform. You will work closely with our engineering and product partners to explore, build, scale and deliver these features that we incubate within the Applied AI team. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Design solutions for our different use cases. You will research and benchmark relevant algorithms to find the best fit for our use-cases Leverage machine learning algorithms and statistical techniques to build new scalable product features Develop, deploy and monitor new and existing features to production Participate in our journal club by reading and presenting the latest academic research papers to the team Explore, analyze and tell the story behind high volumes of data flowing through Datadog systems Maintain and monitor the models, services and infrastructure owned by your team Participate in your team’s on-call rotation Who You Are: You have a BS/MS/PhD in a Computer Science, Engineering, Machine Learning or related scientific field or equivalent experience You have experience working with high-scale systems and datasets including building models, applying machine learning to real business problems, and writing production data pipelines You can explain complex ideas and algorithms to non-technical audiences You care about code simplicity and performa

Machine LearningAIGoRust
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📍 Washington, United States of America, United States
✓ Quality checkedCompany trend -5.2%

$105.1K – $161.8K/yr

Senior Visual Designer Description - HP is seeking an exceptional Senior Visual Designer to elevate the visual experience across consumer printing products and services used by millions of customers worldwide. This role will define and deliver visual design across HP’s ecosystem, combining design excellence, strategic thinking, technical expertise, and user insight to create innovative, user-centered solutions while mentoring designers and strengthening collaboration. As a senior member of the design organization, you will apply visual design expertise, systems thinking, and customer empathy to create intuitive, engaging, and differentiated experiences that strengthen HP’s brand and support measurable business outcomes. You will work closely with cross-functional partners to help shape the next generation of connected print experiences. Core Responsibilities Visual Experience Design Create high-fidelity user interface designs for across web, mobile, and printer front-panel platforms. Develop visual concepts, layouts, illustrations, iconography, motion graphics, and interaction patterns that elevate the customer experience. Customer-Centered Design Collaborate with User Experience designers, marketing, program managers, and engineers to deliver world-class product experiences. Coordinate with development teams to ensure feasible, well-implemented design solutions. Deliver wireframes, prototypes, specifications, style guides, and other high-quality visual assets. Design Systems & Brand Excellence Contribute to HP's design systems, visual standards, and component libraries. Ensure consisten

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📍 San Mateo, CA, United States· Full-time
✓ High-confidence listingCompany trend -100%

From $263.7K/yr

Quick readStrong listing-quality and freshness signals

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. WHY DATA SCIENCE & ANALYTICS? The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product groups, we use this vast tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure the impact on our community of players and developers. WHY CONSUMER FRONTEND? Consumer Frontend’s team mission is to deliver the frontend architecture, components, libraries, navigation patterns, and core UI necessary for a high-quality, performant, intuitive, and observable consumer user experience for gaming and all future use cases. One of the focus areas is UX Excellence through Standardization, where the goal is to maintain a comprehensive library of high-quality components and navigation patterns that ensure a consistent and intuitive experience across all consumer surfaces.

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📍 New York, California, United States· Full-time
✓ High-confidence listingCompany trend -88.9%

From $154K/yr

Quick readStrong listing-quality and freshness signals

We’re looking for a Senior Technical Product Marketing Manager to join our security product marketing team and help bring Datadog’s rapidly growing security offerings to market. In this high-impact role, you’ll collaborate closely with Product, Sales, Sales Engineering, and Enablement to translate complex technical capabilities into compelling narratives that drive awareness, adoption, and differentiation. As the first hire in this space, you'll own key go-to-market efforts, lead technical positioning for strategic initiatives, and mentor others on content strategy and enablement best practices. This is a unique opportunity to shape how Datadog tells its security story to a global market. 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: Define and execute the technical marketing plan for Datadog’s security product line, from launches to scaled adoption. Partner cross-functionally with Product, PMM, Sales Engineering, and Enablement to craft differentiated messaging, inform roadmap decisions, and build cross-product solution narratives. Create and deliver high-impact sales tools including battlecards, investigation flows, objection handling guides, and competitive workshops. Lead competitive strategy by synthesizing market insights and producing content that positions Datadog as a differentiated leader in cloud-native security. Act as a technical subject matter expert and trusted advisor — coaching field teams, reviewing enablement content, and influencing internal strategy. Represent Datadog in customer briefings, industry events, and webinars, serving as a go-to voice on observability and security. Who You Are: 8+ years of experience in technical product marketing, developer relations, product management, solutions engineering, or related roles in

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📍 Menlo Park, California, United States· Full-time
✓ Quality checkedCompany trend -93.3%

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. We are hiring a Staff Software Engineer, Product Security for our Security Foundations team. Product security sits at the center of the trust customers place in the Snowflake platform, and this role owns the hard technical problems that keep that trust intact. You will drive security architecture and secure-by-design practices across engineering teams, shaping how new products are built rather than reviewing them after the fact. AS A STAFF SOFTWARE ENGINEER, PRODUCT SECURITY AT SNOWFLAKE, YOU WILL: Set the technical direction for product security across multiple engineering teams, influencing architecture decisions before code is written Design and build security-critical services, frameworks, and controls that other engineering teams adopt as defaults Lead threat modeling and security design reviews for the platform's most complex and high-risk systems Partner with product and engineering leaders to embed secure-by-design principles into the development lifecycle Investigate and drive resolution of the highest-severity security issues, then eliminate the underlying class of problem, not just the instance Mentor senior and mid-level engineers, raising the security engineering bar across the organization Own initiatives end to end, from problem framing and scoping through de

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📍 Menlo Park, California, United States· Full-time
✓ Quality checkedCompany trend -93.3%

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. About the role We're hiring someone to build the playbook for how we drive practitioner adoption of new capabilities, and bring new practitioners into the platform. You'll pick a segment (data engineers, ML engineers, analytics engineers), pair it with a use case, and figure out what it takes to get practitioners from awareness to activation. That means developing real knowledge of your audience: what they care about, where they spend time, what resonates, and what falls flat. Then working cross functionally to assemble the right assets, sequence them into an exciting journey that leads to adoption, and getting your campaign in front of the right people across owned, paid, in-product, and partner channels. What you're building is a closed loop. Each campaign is instrumented so you can see what actually worked. Did practitioners activate? Did usage stick? How quickly did they find value? Each round of learning makes the next one sharper. The insights you generate don't stay with you; they feed back to marketing, product and account teams to drive broader adoption across organizations. If you want to own the full arc from choosing the audience to designing the playbook to shipping the campaign to building the feedback loops that make it all compound over time, this is that ro

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