Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . This is a 12-week internship during summer 2027. You'll join Coinbase as a software engineer intern and help build the next generation of crypto-forward products and features. You'll solve large-scale, complex technical problems at the intersection of web-scale applications and blockchain technology, shipping real code that impacts millions of users. During the application process, you'll select your preferred team from the groups below. Your application will be primarily considered for your selected team in the specified location. Following the hybrid internship , any full-time return opportunity would be remote-first. Product Group Teams (internship location = San Francisco): Base - Scale the crypto economy by creating integrations, fiat onramps, and developer tools on Coinbase's Ethereum L2 network, connecting builders to 108M+ users and $100B+ in assets. Consumer - Build the fastest way to access crypto through the Coinbase retail and wallet apps, advanced trade, dApps, and staking. Developer - Help build out Coinbase Developer Platform - trusted crypto infrastructure at scale. Payments, Wallets, Trading, and Stablecoin APIs for the global financial system. Institutional - Enable thousands of large financial institutions to securely custody digital assets, stake, and participate in the crypto economy. Platform - Create the scalable, compliant fo
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Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role Ready to dive into the world of smart tech and help build the future of IoT? As a Technical Support Engineering Intern, you won't be grabbing coffee or shadowing others. Our interns are at the forefront of our team, tackling real-world challenges alongside our full-time engineers. Based at our San Mateo HQ, you'll work with cutting-edge, cloud-managed IoT technology, helping our enterprise clients with everything from troubleshooting to system design. This internship is your chance to make a real impact, build valuable technical skills, and jumpstart your career in a dynamic, high-tech environment. What You'll Do Hands-on Troubleshooting: Dive into complex network, hardware, and software problems on Verkada's platform Level Up Fast: Become the go-to expert customers trust for smart system design and integration advice Communic
About Eudia: Eudia is redefining the future of legal work with AI-powered Augmented Intelligence, enabling Fortune 500 legal teams to move faster, manage risk more effectively, and unlock new business value. Backed by $105M in Series A funding led by General Catalyst, we’re building a category-defining platform that blends AI-driven automation with human expertise, transforming legal from a cost center into a strategic growth driver. At Eudia, we move fast. Unlike traditional enterprise software, our teams ship solutions in days, not months—delivering real impact for some of the world’s largest companies, including Cargill, Coherent, DHL, and Duracell. We’re solving one of the most complex, unsolved challenges in AI: bringing trust, accuracy, and security to legal automation. We’re a team of builders, operators, and problem-solvers who are passionate about reshaping an industry that has long been resistant to change. If you’re looking for a place where you’ll be challenged, take ownership from day one, and work alongside some of the brightest minds in AI and legal —we’d love to meet you. About the Role: We are seeking a highly motivated and innovative AI Engineer Intern for either the spring or summer to join our growing team in Palo Alto. This internship offers an exceptional opportunity to work on challenging Machine Learning / Gen AI problems in the legal domain. As an intern, you will collaborate with experienced AI researchers and engineers to solve enterprise-grade AI problems across Content AI, Document AI, and the applications built on top of them, including evaluating and fine-tuning both open-source and closed-source models, improving retrieval and reasoning quality, and testing AI systems for accuracy, reliability, and performance. This is a hands-on opportunity to contribute to real-world AI applications, tackle fundamental challenges in deep learning, and gain exposure to production-grade AI systems. As an i
Apply early for priority consideration. Gallup has limited openings for this internship, and the position will be filled quickly. As a data engineering intern at Gallup, you’ll help build and modernize the data tools, infrastructure and pipelines that enable teams to work with data at scale. Alongside experienced technical leaders, you’ll put your Python and SQL skills to work on meaningful projects while learning best practices, experimenting with modern tools and seeing firsthand how strong data engineering supports better decisions. What You’ll Do During your internship, you will: Build foundational data tooling and infrastructure designed to scale as the volume and frequency of data grow Help modernize legacy data pipelines using Python, SQL and Gallup’s evolving data platform Troubleshoot data quality issues in large, imperfect datasets Apply data engineering practices to move, transform and validate data across systems Help build reliable, efficient data workflows Learn from senior technical leaders who will mentor you on engineering practices, tools and approaches Collaborate with engineers and interact directly with stakeholders to understand needs and deliver useful solutions Use AI-enabled development tools to improve the quality and efficiency of your work What You Need Enrollment in an associate, bachelor’s or graduate degree program in computer science, data engineering, information systems, statistics, math or a related field required Classroom or work experience writing SQL required, including joins, aggregations and troubleshooting query performance Classroom or work experience coding in Python for data processing, scripting or automation required Working knowledge of relational database and data modeling concepts, including schema design and dimensional or star-schema modeling, required Comfort using AI tools such as Claude, Claude Code or GitHub Copilot to support high-quality, efficient work required Understanding of ETL/ELT concepts and how data
Apply early for priority consideration. Gallup has limited openings for this internship, and the position will be filled quickly. As a product design intern at Gallup, you’ll learn alongside experienced designers as you explore how thoughtful product design can turn complex ideas into intuitive digital experiences. You’ll contribute to real product work, build your skills through hands-on mentorship and discover how human behavior, technology and visual design come together to create products people want to use. What You’ll Do During your internship, you will: Partner with experienced product designers on scoped design projects for Gallup’s digital products Explore user needs and use cases and apply what you learn to product design concepts Contribute to design operations by organizing design files and supporting clear, consistent design practices Collaborate with designers, product and engineering partners while learning how ideas move from exploration to implementation Build your product design skills through feedback, mentorship and exposure to real-world design challenges What You Need Enrollment in a bachelor’s degree program in human-computer interaction, graphic design, product design, interaction design, computer science or a related field required Portfolio showcasing product design work from academic, personal, internship or other projects required Previous internship or other relevant hands-on experience preferred Experience using Figma or similar design and prototyping tools preferred Interest in exploring how AI tools can support product design, learning and creative problem-solving preferred Enrollment at a college or university within a 250-mile radius of Omaha, Nebraska, required Anticipated graduation between August 2027 and May 2028 required Availability to work 40 hours per week for 12 weeks during the summer of 2027 required A commitment to working on-site at Gallup’s Omaha office Monday through Thursday required, with the option to work remotely
Apply early for priority consideration. Gallup has limited openings for this internship, and the position will be filled quickly. Learn what it takes to keep a global technology platform running at its best. As a site reliability engineer intern at Gallup, you’ll work alongside experienced engineers to strengthen the performance and reliability of the systems behind Gallup’s global platform. You’ll gain hands-on experience with observability, automation and incident response while contributing to real projects and building skills you can carry into your technology career. What You’ll Do During your internship, you will: Help build and improve observability using tools like Dynatrace and PagerDuty to monitor applications running on AWS Create dashboards, alerts and metrics that give engineering teams real-time insight into application performance and system reliability Support automated alerting workflows that integrate directly with Slack Shadow and support incident response to learn how Gallup detects, resolves and prevents issues before they affect customers Write scripts and automation that reduce repetitive operational work Collaborate with a progressive technology team of site reliability engineers, DevOps engineers and software developers What You Need Enrollment in an associate, bachelor’s or graduate degree program in computer science, MIS or a related field required Basic knowledge of and/or experience with AWS or another cloud platform required Basic knowledge of and/or experience with Windows or Linux server administration, networking or infrastructure required Classroom or professional experience working with one or more of the following technologies required: Python, Bash, PowerShell, Terraform, Docker, Amazon ECS, GitHub Exposure to monitoring or incident management tools such as Dynatrace, Grafana or PagerDuty preferred Enrollment at a college or university within an 80-mile radius of San Francisco, California, required Anticipated graduation between
About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role As a Software Engineering Intern for Winter 2027, you will join a Vercel engineering team and ship production code that customers use. By the end of your internship, you will have scoped, built, and shipped an end-to-end project, with mentorship from the engineers who own the system. This is a hybrid role based in San Francisco, in the office on Monday, Tuesday, and Friday. What you’ll do Own an end-to-end project: scope it with your manager, build it, and ship it to customers Write production code and review pull requests alongside the engineers who maintain it Debug live systems by tracing issues through the stack and fixing the root cause Post written progress updates and flag blockers as soon as they come up What you need Currently pursuing a degree in Computer Science, Engineering, or a related field, graduating in Fall 2027 or Spring 2028 Built and shipped at least one project in JavaScript or TypeScript, through coursework, a prior internship, open source, or your own work Use AI coding tools in your daily workflow, and can explain and debug every line you ship Bonus if you Have written code in Go or Rust Have contributed a merged pull request to an open-source project Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national or
About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role As a Software Engineering Intern for Summer 2027, you will join a Vercel engineering team and ship production code that customers use. By the end of your internship, you will have scoped, built, and shipped an end-to-end project, with mentorship from the engineers who own the system. This is a hybrid role based in San Francisco, in the office on Monday, Tuesday, and Friday. What you’ll do Own an end-to-end project: scope it with your manager, build it, and ship it to customers Write production code and review pull requests alongside the engineers who maintain it Debug live systems by tracing issues through the stack and fixing the root cause Post written progress updates and flag blockers as soon as they come up What you need Currently pursuing a degree in Computer Science, Engineering, or a related field, graduating in Fall 2027 or Spring 2028 Built and shipped at least one project in JavaScript or TypeScript, through coursework, a prior internship, open source, or your own work Use AI coding tools in your daily workflow, and can explain and debug every line you ship Bonus if you Have written code in Go or Rust Have contributed a merged pull request to an open-source project Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national or
As an Applied Science Intern, you will join a cross-functional team of engineers and applied scientists building AI-powered features within the Datadog platform. You will contribute to both existing and new products by improving machine learning models, developing new AI capabilities, and helping bring research into production. Working closely with engineering and product partners, you'll gain hands-on experience deploying AI systems at scale while strengthening your product mindset, collaboration, and communication skills. You'll also have opportunities to contribute to cutting-edge research that directly powers customer-facing features. 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: Design solutions for AI use cases by researching and benchmarking state-of-the-art models to identify the best approach Build highly scalable product features using generative AI, machine learning algorithms, and statistical techniques Contribute to the development, deployment, monitoring, and maintenance of production AI models, services, and infrastructure Explore, analyze, and derive insights from the large-scale observability data flowing through Datadog systems Participate in technical knowledge sharing by presenting recent academic research and investigating emerging model architectures to improve existing and future products Collaborate with engineering and product teams to productionize AI solutions and deliver customer-facing features Who You Are: You will graduate in 2027 with a degree in Machine Learning, Artificial Intelligence, Statistics, Computer Science, or a related field You have experience building machine learning models through coursework, research, internships, or personal projects You have strong programming skills and are eager to lear
We’re looking for Software Engineering Interns to help build and scale the systems that power Datadog’s observability and security platform. Interns contribute directly to real-world engineering challenges across backend, frontend, infrastructure, data engineering, and developer tooling while working alongside experienced engineers and mentors. You’ll help design, build, and improve systems that process and analyze massive volumes of metrics, logs, and application data in real time. Whether you’re interested in distributed systems, Kubernetes, AI-powered products like Bits AI, or developer platform tooling, you’ll work on meaningful projects that deliver impact to customers at global scale. 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: Contribute to production systems that process and analyze large-scale observability and application data in real time Build and improve distributed systems across backend infrastructure, developer platforms, and cloud-native services Help identify and solve performance, reliability, and scalability challenges in critical services supporting Datadog’s growing customer base Own and deliver technical projects from design through deployment with support from experienced engineers and mentors Develop technical expertise through hands-on experience with technologies such as Kubernetes, distributed systems, and cloud-native infrastructure Collaborate with fellow interns, mentors, and engineers while building software that delivers impact at global scale Who You Are: Pursuing a degree in Computer Science, Software Engineering, or a related technical field, or have equivalent practical experience Targeting a 2028 full-time start date Demonstrate strong computer science fundamentals, including data structures,
We’re looking for Software Engineering Interns to help build and scale the systems that power Datadog’s observability and security platform. Interns contribute directly to real-world engineering challenges across backend, frontend, infrastructure, data engineering, and developer tooling while working alongside experienced engineers and mentors. You’ll help design, build, and improve systems that process and analyze massive volumes of metrics, logs, and application data in real time. Whether you’re interested in distributed systems, Kubernetes, AI-powered products like Bits AI, or developer platform tooling, you’ll work on meaningful projects that deliver impact for customers at global scale. 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: Contribute to production systems that process and analyze large-scale observability and application data in real time Build and improve distributed systems across backend infrastructure, developer platforms, and cloud-native services Help identify and solve performance, reliability, and scalability challenges in critical services supporting Datadog’s growing customer base Own and deliver technical projects from design through deployment with guidance from experienced engineers and mentors Develop technical expertise through hands-on experience with technologies such as Kubernetes, distributed systems, and cloud-native infrastructure Collaborate with fellow interns, mentors, and engineers while building software that delivers impact at global scale Who You Are: Pursuing a degree in Computer Science, Software Engineering, or a related technical field, or have equivalent practical experience Targeting a 2027 full-time start date Demonstrate strong computer science fundamentals, including data str
We’re looking for Software Engineering Interns to help build and scale the systems that power Datadog’s observability and security platform. Interns contribute directly to real-world engineering challenges across backend, frontend, infrastructure, data engineering, and developer tooling while working alongside experienced engineers and mentors. You’ll help design, build, and improve systems that process and analyze massive volumes of metrics, logs, and application data in real time. Whether you’re interested in distributed systems, Kubernetes, AI-powered products like Bits AI, or developer platform tooling, you’ll work on meaningful projects that deliver impact for customers at global scale. 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: Contribute to production systems that process and analyze large-scale observability and application data in real time Build and improve distributed systems across backend infrastructure, developer platforms, and cloud-native services Help identify and solve performance, reliability, and scalability challenges in critical services supporting Datadog’s growing customer base Own and deliver technical projects from design through deployment with guidance from experienced engineers and mentors Develop technical expertise through hands-on experience with technologies such as Kubernetes, distributed systems, and cloud-native infrastructure Collaborate with fellow interns, mentors, and engineers while building software that delivers impact at global scale Who You Are: Expected to graduate in 2027 with a degree in Computer Science, Software Engineering, or a related technical field from a university in Spain Demonstrate strong computer science fundamentals, including data structures, algorithms, and software
Datadog is seeking curious, driven interns to join our Product Management team and help build products that improve how engineers monitor and understand their systems. As a Product Management Intern, you’ll work alongside Engineering, Design, and Product Marketing throughout the product development lifecycle, contributing to meaningful initiatives and real product decisions. You’ll gain hands-on experience building for highly technical customers while developing your product thinking, technical communication, and cross-functional collaboration skills. With Datadog’s platform processing over 100 trillion events per day across 30,000+ customers in a multi-cloud environment, you’ll gain direct exposure to large-scale, real-time systems built by engineers, for engineers. 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: Conduct customer discovery conversations and gather feedback to better understand user needs Drive product initiatives from concept through launch alongside Engineering, Design, and Product Marketing teams Translate customer and business needs into clear product requirements and engineering priorities Analyze customer feedback, product data, and market insights to help inform product decisions Prepare and deliver technical product demonstrations and communication materials Develop technical understanding of Datadog’s observability platform and cloud infrastructure products Who You Are: Targeting a 2027 full-time graduation Pursuing a degree in Computer Science, Software Engineering, or a related technical field Prior internship, project, or academic experience in product management, software engineering, or another product-focused technical role Exposure to B2B software product development and ability to communicate technical conc
The Enterprise IT Support team is responsible for the hardware and software that Datadog employees around the world use on a daily basis to successfully do their jobs. As an Enterprise IT Support intern, you will combine theoretical learning at your school with practical, hands-on experience in our IT Support team. Over the course of your internship, you will progressively take on more responsibilities while helping ensure our ever-growing user base has everything they need to do their job. You’ll also gain exposure to security-adjacent tasks relevant to IT support operations. 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 Learn and assist in providing customer service and technical support for our employees Shadow and support laptop deployment as part of onboarding and refresh cycles Shadow and support laptop collection and account deactivation as part of employee offboarding cycles Participate in new hire orientations to understand policies, best practices and services used within Datadog Assist with general ticketing, account management, and basic troubleshooting under supervision Help maintain hardware and software inventory Contribute to documentation creation and maintenance Observe and support unified communications setups in conference rooms and common areas Participate in team meetings and knowledge-sharing sessions Gain exposure to deployment and security-related projects Support multi-factor authentication (MFA/2FA) setup and troubleshooting for employees Observe and support endpoint device enrollment using mobile device management (MDM) tools Gain familiarity with access management principles, including the processes used to grant, review, and revoke employee access Assist in following established procedures when responding to bas
About Paytm Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm's mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the role: A Talent Acquisition (TA) Intern supports the recruitment team by sourcing and screening candidates, coordinating interviews, and maintaining recruitment trackers. They assist with job postings, initial candidate communication, and documentation like offer letters and onboarding forms. The role also involves helping with employer branding activities and ensuring smooth coordination between candidates and hiring managers. Key Responsibilities ● Strong communication and interpersonal skills. ● Basic understanding of recruitment and hiring processes. ● Ability to source, screen, and identify relevant candidate profiles. ● Good candidate and stakeholder coordination skills. ● Proficiency in MS Excel, Google Sheets, and Microsoft Office. ● Strong organizational and time-management skills. ● High attention to detail and accuracy in maintaining recruitment documentation. ● Ability to maintain recruitment trackers and reports. ● Strong professional email writing and verbal communication skills. ● Ability to work in a fast-paced environment and manage multiple priorities. ● Positive attitude, willingness to learn, and adaptability. ● Knowledge of LinkedIn and job portals will be an added advantage. Skills & Qualifications: ● Strong communication and interpersonal skills. ● Basic understanding of recruitment and hiring processes. ● Ability to source, screen, and identify relevant candidate profiles. ● Good candidate and stakeholder coordination skills. ● Proficiency in MS Excel, Google Sheets, and Microsoft Office. ● Strong organizational and time-management skills. ● High attention to detail and accuracy in
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