Field Implementation Manager Jobs

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

Apply early for priority consideration. Gallup has limited openings for this internship, and the position will be filled quickly. Gallup’s IT team keeps associates around the world connected, equipped and ready to work. As a summer intern, you’ll be part of that effort, providing technical support, troubleshooting problems and gaining experience with the systems and technology that support Gallup’s mission to improve workplaces and lives. What You’ll Do During your internship, you will: Ensure all Gallup users, including visiting associates, have world-class technical support to do their jobs perfectly Build close relationships with Gallup associates and educate them in a Microsoft Windows end-user and server environment and in an Apple Mac environment Learn new processes and systems quickly and multitask while maintaining a customer-oriented focus Support all office technology and equipment by troubleshooting workstations and workstation software, maintaining network equipment (e.g., file servers, routers and switches), and monitoring all critical business systems and applications for uptime and availability What You Need Enrollment in an associate or bachelor’s degree program in computer science, computer engineering or a related field required Enrollment at a college or university within a 250-mile radius of Omaha, Nebraska, required Anticipated graduation between August 2027 and May 2028 preferred; will consider 2029 graduates 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 on Friday Broad knowledge of networking, computer hardware and software applications required Experience troubleshooting technical issues required Experience working in a Windows user and server environment required Experience supporting all Microsoft Office applications preferred; Apple Mac experience a plus Eligibility to work in

Apply early for priority consideration. Gallup has limited openings for this internship, and the position will be filled quickly. Do you get excited about using analysis to answer business questions and technology to solve problems? As a fintech intern, you’ll learn how financial processes, data and technology work together to support Gallup’s business. If you’re a curious problem-solver who asks thoughtful questions, takes initiative and is eager to dive into new challenges, you’ll thrive on this team. You’ll develop your skills while contributing to meaningful projects alongside associates with deep business and technical expertise. What You’ll Do During your internship, you will: Apply analytical and technical skills to real business challenges involving financial processes, data and enterprise systems Use SQL and other tools to analyze data, support reporting needs, and help investigate and solve business problems Support projects involving business process analysis, requirements gathering, data mapping and other technical solutions Collaborate with finance, technology and other partners to understand business needs and help develop practical solutions Learn Gallup’s Oracle environment and develop an understanding of the systems and processes that support areas such as revenue management, contract management and reporting Take ownership of project work by asking questions, seeking information and proactively working through problems with support from experienced teammates What You Need Enrollment in a bachelor’s or graduate degree program in fintech, business, business analytics, data analytics, computer science, MIS, engineering or a related field required Classroom or work experience with SQL preferred Classroom or work experience in financial, business or data analytics preferred Familiarity with Oracle software preferred Enrollment at a college or university within a 250-mile radius of Omaha, Nebraska, required Anticipated graduation between August 2027 and

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

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Responsibilities Test Automation Framework & Infrastructure Design, build, and maintain Python-based automation frameworks for testing UniFi switches across firmware releases Develop and verify physical switch testbeds with controllable port connections, PoE loads, traffic generators, and link partners Maintain test infrastructure reliability — device provisioning, firmware flashing automation, test environment resets, and result reporting dashboards Use AI tools (ChatGPT, Gemini, Claude..etc) to accelerate test case generation, triage failing tests, and speed up root-cause analysis on large regression runs Protocol & Feature Automation Automate testing of core L2/L3 switching features: VLANs, STP/RSTP,IGMP snooping, QoS, ACLs…etc Strong understanding of switch platforms Ability to conduct performance and stability testing Reproduce field-reported issues and validate fixes before release Collaboration & Process Improvement Partner cross-functionally with engineering and product teams to shape quality bars and go/no-go release decisions Document bugs clearly with reproducible steps, supporting logs, and impact assessment Continuously improve QA processes, expand automation coverage, and enhance testing tooling Qualifications Automation & Tooling Strong hands-on Python skills for building te

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Responsibilities Protocol & Feature Validation Manually validate core L2/L3 switching features: VLANs, STP/RSTP, LACP/port-channels, LLDP, IGMP/MLD snooping, QoS, ACLs, static/dynamic routing Validate PoE behavior (PoE/PoE+/PoE++) across port classes, power budgets, and mixed-load scenarios Test switch management interfaces — CLI, SSH, SNMP, REST API, and UniFi Network application/controller integration Perform interoperability testing across multi-vendor topologies and mixed firmware versions Validate clustering, redundancy, and failover behavior under various failure conditions Firmware & System Testing Perform long-duration soak/stability testing to catch memory leaks, port flaps, and firmware degradation over time Test system behavior under scale conditions (high MAC/ARP table size, VLAN scale, heavy traffic load) Validate authentication, authorization, and access control (802.1X, RADIUS, management access) Debugging & Root Cause Analysis Debug using switch logs, CLI diagnostics, packet captures, and port/interface statistics Distinguish true firmware/protocol regressions from environment or test setup issues Reproduce field-reported issues and validate that fixes fully resolve reported behavior Collaboration & Process Improvement Partner cross-functionally with firmware engineers and PMs to shape quality bars

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 Optical Proximity Correction (OPC) entry level engineer / technician, you will work in Micron’s reticle data preparation organization to process reticle design data through OPC enabling our Production and R&D fabs to print on wafer using photolithography as intended by the Designers. Your responsibilities will encompass a broad range of teams to ensure inputs and outputs to the tapeout process are accurate and of the highest quality. Interested candidates should be comfortable working across time-zones and interfacing with peers in US, Japan, and India to Passdown and maintain operations around the clock to help Micron improve our speed of development and response times to the needs of our Manufacturing and R&D Fabrication Facilities Responsibilities include, but are not limited to the following: Active participation in OPC production environment as an important part of reducing cycle time for each job requiring collaboration with the Mask and Litho Development teams to advocate the use of best-known methods (BKM) Watch notifications sent by the system, follow up with preliminary investigations, forward key information to appropriate team members and notifications when necessary to keep all aspects of day to day production running efficiently. Interact with a wide range of internal customers and collaborators and effectively communicate with the different groups in the tapeout flow in order to coordinate work load and field preliminary questions, Be able to provide i

Couchbase, the operational data platform for AI, empowers businesses to succeed by bringing data to life in new ways. Major market-leading companies rely on Couchbase for mission critical operational, analytical, mobile and AI workloads. Built to replace legacy infrastructure and fragmented data services, Couchbase empowers enterprises with a unified platform architected for performance, flexibility and global scale. With Couchbase, organizations bring their data to life, launching game‑changing customer experiences, exploring the limitless potential of AI, and seamlessly extending applications from the cloud to the edge and beyond. Couchbase’s AI‑ready technology and enterprise partnership model eliminate complexity and reduce total cost of ownership, enabling teams to stay agile, innovative and secure. Couchbase believes data should never slow you down, but act as the foundation for your next breakthrough. Discover why Couchbase is trusted to help the world’s biggest players scale, move fast and stay resilient, no matter what’s next on their roadmap. Visit couchbase.com and follow us on LinkedIn and X. Want to be part of our story? Apply today! Our Solution Engineers are the primary technical field experts, responsible for actively driving and managing the technical components of a sales engagement. This includes explaining Couchbase advantages and differentiators, and how our Couchbase solutions stack meets these customer challenges, all while getting customers excited about using this new approach for delivering consistent business value. This specific position focuses on assisting customers who interact with our technology via application code and the application development process. This development centric position requires experience in Presales, software development experience as well as time developing business solutions. Experience with one or more Enterprise Programming Languages and Solution Development methodologies. Location: Dubai Respons

We’re looking for a dynamic and empowering Sales Development Manager who will be responsible for building and leading a team of enterprise ADRs. The role focuses on leadership, development and a high performance culture to execute against our rapid sales goals. We are looking to speak to candidates who are based in Dublin for our hybrid working model. The Opportunity In this role, you will have two core priorities: Talent Development & Revenue Development. We view our Account Development Representatives as the next wave of Account Executives at MongoDB. A Sales Development leader at MongoDB hires outstanding talent, maps out the gaps in that rep’s skillset, holds them accountable to reaching their potential, and takes pride in turning that ADR into an AE. You will also be a key asset to our Enterprise Sales organization, partnering with regional leaders across our sales organization, you will be a crucial part of uncovering new opportunities, determining how to unlock new territories, and driving revenue into our pipeline. Day to Day Attract, hire, retain, and develop talent Provide strong coaching and mentoring through a deep understanding of sales, our business model, and our sales methodology Be involved in prospect qualification and discovery calls/meetings Provide weekly team performance summary as well as timely and accurate forecast to senior management Cross functional collaboration to establish scalable processes for incoming lead management and follow-up SLAs and conversions Develop and own KPI’s, supervise the activity of the team, track the results and drive team execution based on those metrics Work closely with Field Sales and Inside Sales management to drive increased performance and align pipeline production to our Sales team's needs Invest in your self-development, focusing on the skills and attributes that will make you successful in your core role and get you set for future success What You Will Bring to the Table 2+ ye