Ai And Cloud Service Provider Account Executive in United States

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: At Modal, we sell cloud services atop which our customers run their critical production systems. As a rapidly growing new cloud infrastructure company, we seek to improve our reliability dramatically while scaling the size of our platform, customer base, and our team. This role is for people who are deep systems thinkers, love stacking nines, and thrive from making others move faster at scale. Responsibilities include: Identifying architectural changes to improve reliability and performance. Fostering a culture of reliability across Modal’s engineering organization. Defining and implementing operational processes such as deployments, upgrades, etc. Operating systems like Kubernetes, Postgres, Redis, etc. Participating in on-call rotations, and responding to production incidents. Requirements: 5+ years of experience writing high-quality production code. 2+ years of

We are seeking a highly skilled and hard-working Senior Test Developer / test engineer to join our multifaceted Enterprise Software QA team. This role offers an outstanding opportunity to leave your mark on the design, construction, optimization and testing of large-scale infrastructure for various foundational NVIDIA unified cloud services and data center offerings. If you are a dedicated engineer with strong expertise in cloud infrastructure and distributed systems and want to apply your skills with AI tools, this role could fit you perfectly. You will thrive in an exciting, innovative environment. What you'll be doing: Work with development teams on test plans for all layers of SW stack for cloud infrastructure, execution, reviews, failure analysis and assessing overall quality and risk. Work with customer PMs on software issues including technical feedback from OEMs and CSPs. Develop key benchmarks to track execution and deploy process improvements to improve efficiency Leverage AI skills to expedite the test scope, test plan, execution and automation workflows. Lead NVIDIA Cloud and Data Center bring up activities which will involve validation, reporting, working with engineering to debug issues, providing design input at times, adding coverage in different areas. Design, develop and maintain CI/CD pipelines for continuous testing in cloud environments when needed. Perform performance, scalability, and reliability testing of cloud services. Implement and maintain test environments in cloud platforms such as AWS, Azure, or Google Cloud. Supervise the infrastructure to alert on significant events, ensuring the highest level of system performance and reliability. Work with various different partner teams to ensure availability of clusters to test on and take the lead in resolve all issues. Working with tea

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,

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. As a Principal Security Software Engineer on the Production IAM team, you will set the technical direction for how identity and access work across Roblox's production infrastructure, from the mTLS-based identity that services use to authenticate to one another, to the privileged access controls that govern how engineers reach production. The team is accountable for Roblox's machine and workload identity platform, its centralized authorization engine, its production access management platform, production PKI and certificate lifecycle, and just-in-time privileged access for engineers. As an individual contributor in Production IAM, you will define multi-year strategy, drive alignment across Roblox Platform, mentor senior and staff engineers, and personally build the hardest parts of these systems. As AI agents become first-class actors in production, you will also help pioneer how they get identity, prove who they are, and receive safely-scoped access. You will Lead the architecture for production identity and access. Define and evolve the end-to-end design for machine, workload, human, and AI-agent identity across our hybrid on-prem and cloud fleet, making secure access invisible when

Senior Security Engineer, Vulnerability Management Here at Datadog, we think about vulnerability management a little differently. We embrace open source software, recognize our role in the software supply chain, and see attackers weaponizing vulnerabilities faster than ever. We are looking for a Senior Security Engineer who can combine vulnerability-management judgment with hands-on engineering to help us scale and improve our vulnerability lifecycle across Datadog’s multi-cloud products and services. In this role, you will turn ambiguous security problems into clear solutions, and work with engineering teams to address root causes and develop technical controls that reduce vulnerabilities earlier in the SDLC. You’ll use AI and automation to help scale the overall vulnerability lifecycle across Datadog. You will use data and sound technical judgment to prioritize risk, and partner with security, product, platform, and compliance teams to bring scalable solutions into practice. 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 Work across the vulnerability lifecycle from detection and impact assessment through risk-based prioritization, remediation, and verification. Use AI and automation to build tools, services, and workflows that make security ideas concrete, validate them quickly, and create alignment for scalable implementation. Reduce engineering toil through a “PRs, not tickets” approach, using automation to enrich findings, identify ownership, recommend or deliver fixes, and track outcomes. Analyze recurring vulnerabilities and remediation failures to identify root causes and opportunities to prevent issues earlier in the SDLC. Partner with SDLC Security, Product Security, platform teams, and engineering teams to balance technical constraints, busin

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 struc

About the Team OpenAI Consumer Devices is building the next generation of products that bring powerful AI into people’s everyday lives. Guided by OpenAI’s mission to ensure AGI benefits all of humanity, our team combines world-class researchers, engineers, designers, and operators who care deeply about creating useful, intuitive, and responsible technology. You’ll have the opportunity to work alongside exceptional people on ambitious, zero-to-one challenges at the intersection of hardware, software, and AI. This is a chance to help define an entirely new category of products—and shape how people experience AI in the future. The Systems Integration team is critical in this mission, turning complex hardware-software development into reliable product signals. We validate complete device experiences across software, cloud services, connectivity, accessories, and real-world operating environments, combining hands-on system testing, structured test development, hardware-in-the-loop environments, diagnostics, and automation to uncover issues that component-level testing alone cannot reveal. About the Role As a Systems Test Engineer, End-to-End Validation , you will design and execute end-to-end testing for complex device experiences spanning hardware, software, connectivity, cloud services, and accessories. You’ll translate product behavior and real-world use cases into structured, reproducible test procedures and build test environments that allow failures to be reliably reproduced and diagnosed. You’ll also identify opportunities to automate repetitive or high-value scenarios, working with engineers to turn complex manual workflows into scalable validation systems. Because this is a new category of devices, you’ll have the opportunity to build the end-to-end validation foundation early—shaping test coverage, environments, and workflows from prototype through launch. We’re looking for someone who combines strong systems thinking, hands-on testing skills, technical curiosi

As the Engineering Manager for Commercial Audit, you will lead a high-performing team responsible for scaling Datadog’s security and compliance posture through automation, tooling, and engineering excellence. Our GRC (Governance, Risk, and Compliance) function is a critical partner to the broader Security and Engineering organizations, ensuring that Datadog not only meets rigorous global regulatory standards but does so in a way that is efficient, scalable, and integrated into our cloud-native infrastructure. You will manage a team of engineers and analysts who are transitioning to a GRC engineering direction to treat compliance as a software problem, leveraging AI, custom tooling, CI/CD pipelines, and cloud-native services to turn complex regulatory requirements into actionable, automated controls. You will lead the strategy, roadmap, and execution of Datadog’s Commercial Audit initiatives. This is a high-impact leadership role where you will grow a team of engineers and analysts responsible for directly maintaining our compliance programs and related audits (e.g., SOC2, PCI, HIPAA, ISO) while looking to improve efficiency and effectiveness through platforms and tooling. You will act as a bridge between technical engineering, legal, and compliance, enabling the organization to move fast while maintaining a secure and compliant environment. You will champion a culture of "compliance-as-code," identifying opportunities to automate evidence collection, streamline control testing, and reduce manual toil for both your team and our partner engineering teams. 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: Lead the strategy, roadmap, and execution of Datadog’s commercial security compliance efforts, shifting from manual audit processes to automated, scalable

The NVIDIA DGXC Data Services team builds cloud-native systems, frameworks, and services for managing data across hybrid and multi-cloud infrastructure. We are building the next-generation data and storage infrastructure to solve some of the hardest problems in AI: storage, access, ingestion, governance, observability, and data management for exabyte-scale, high-performance GPU-based training and inference jobs. Our work gives NVIDIA teams the foundational capabilities they need to build, train, deploy, and operate AI products at scale without reinventing critical data infrastructure for every workload. What you will be doing: Build storage technologies, client libraries, and filesystem frameworks that help AI workloads access data across object stores, file systems, and hybrid cloud infrastructure. Develop high-performance storage paths for training and inference workflows, including data loading, checkpointing, caching, POSIX-style access, and object-store integration. Build observability systems that diagnose storage bottlenecks, attribute GPU idle time to I/O behavior, and expose actionable telemetry through production monitoring stacks. Improve performance, scalability, and reliability of storage systems serving massive datasets, deep directory trees, and high-concurrency AI workloads. Work closely with internal AI teams, platform teams, SRE, and operations to validate storage behavior against real workloads and production environments. Use modern software engineering practices, including AI-assisted and agentic development workflows, while maintaining high standards for design, testing, security, performance, and verification. What we need to see: BS in Computer Science, Information Sys

Beacon Biosignals is transforming precision medicine for the brain, from clinical development to clinical care. For Life Sciences partners, we offer the leading at-home EEG platform for clinical development of novel therapeutics for neurological, psychiatric, and sleep disorders. Our Diagnostics business is building the most comprehensive at-home platform for precision diagnostics, combining EEG and cardiopulmonary signals to deliver reimbursable assessments for sleep and central nervous system disorders. Together, we're changing the way patients are diagnosed and treated for any disorder that affects brain physiology. What you will be doing: Beacon Biosignals is on a mission to revolutionize precision medicine for the brain. We are the leading at-home EEG platform supporting clinical development of novel therapeutics for neurological, psychiatric, and sleep disorders. Our FDA 510(k)-cleared Dreem EEG headband and AI algorithms enable quantitative biomarker discovery and implementation. Beacon’s Clinico-EEG database contains EEG data from nearly 100,000 patients, and our cloud-native analytics platform powers large-scale RWD/RWE retrospective and predictive studies. Beacon Biosignals is changing the way that patients are treated for any disorder that affects brain physiology. The Sleep Study Support Specialist will work within the SleepView Direct department and report to the Manager, Services. This is a second-shift position that is primarily work-from-home, with occasional on-site meetings as needed. The Sleep Study Support Specialist plays an important role in delivering a positive patient and customer experience by providing timely, accurate, and compassionate support throughout the sleep testing process. This position requires strong communication skills, attention to detail, sound judgment, and the ability to effectively manage multiple priorities while working both independently and as part of a cross-functional team. What success lo

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary: We are seeking a highly skilled backend-focused Senior Software Engineer to join our modernization team focused on transforming the legacy CVS pharmacy systems into a cutting-edge, cloud-native platform. As part of the team, you will play a crucial role in designing and developing microservices that drive the modernization of critical patient and drug domains. You will work on integrating cloud-native solutions, enhancing performance, and ensuring seamless operation within a highly scalable and secure environment. The ideal candidate will have extensive experience in backend development, system design, and a strong understanding of cloud-native software engineering principles. Responsibilities: · Design, build, and maintain scalable data pipelines to support analytics, ML, and operational reporting · Develop robust data ingestion, transformation, and integration workflows using Python, SQL, and modern data engineering frameworks · Build and maintain batch and streaming data pipelines leveraging technologies such as Kafka (or similar pub/sub tools) · Work with Google Cloud Platform (GCP) services, including Cloud Storage, Dataflow, Pub/Sub, BigQuery, Cloud Spanner and Cloud Functions · Develop and manage data APIs and interfaces (REST and GraphQL) to enable high-performance data access across microservices · Implement CI/CD automation fo

MongoDB's Partner Program is how we formalize value for every partner type in our ecosystem — Technology/ISV partners, Services and Solutions partners (including our Systems Integrators), Cloud partners (AWS, Azure, Google Cloud), Built with MongoDB partners, and Certified by MongoDB DBaaS partners. We're looking for a Director, Partner Programs to own this program end to end: the tiering and benefits structure, the incentive framework, certification (including our SI Associate and SI Architect tracks), and the operational rigor that keeps thousands of partners engaged and productive. You'll report to the VP of Partner Strategic Operations and oversee all MongoDB Partner Programs globally, managing a team of Partner Program Managers. You'll be the connective tissue between the field-facing work being done in Sales Plays & Offerings, the platform work being built by our Business Product Manager (PRM), and the automation work coming out of Digital Process & AI Operations — making sure the underlying program itself stays coherent, well-governed, and aligned to company strategy as all of that activity happens around it. This role can be hybrid near any of our MongoDB hub offices in the United States or remote in the United States. What You'll Do Own Partner Program strategy and structure Own and evolve the overall architecture of the MongoDB Partner Program across all partner categories — Technology, Services and Solutions, Cloud, Built with MongoDB, and Certified by MongoDB DBaaS — including tiering, entitlements, and benefits at each level Ensure the program structure stays aligned to MongoDB's broader GTM strategy, including emerging priorities like AI-driven partnerships and cloud marketplace growth Own partner certification pathways (e.g., SI Associate and SI Architect certifications) and ensure they reflect current MongoDB technology and sales priorities Design and govern incentives Own the global partner incentive framework — MDF, SPIFs, rebates, and co-s

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary CVS Health is seeking a Principal Software Engineer to lead the design and delivery of enterprise-scale Generative AI solutions that power next-generation healthcare experiences. This role goes beyond hands-on coding—you will define technical strategy, establish architectural standards, and guide multiple teams in building secure, scalable, and cost-effective AI platforms across AWS (Bedrock) and Google Cloud (Vertex AI API). You will partner with product, security, compliance, and enterprise architecture teams to ensure solutions meet business objectives, regulatory requirements, and performance goals. The ideal candidate combines deep technical expertise with leadership skills—capable of influencing cross-org architecture decisions, mentoring engineering teams, and driving responsible AI practices in production. Key Responsibilities Lead end-to-end platform delivery of highly scalable, secure AI services and applications leveraging AWS Bedrock (Foundation Models, Knowledge Bases, Agents, Guardrails) and Google Cloud Vertex AI (Gemini via Vertex AI API, Agent Builder, Vector Search, Search & Grounding) Architect and implement Retrieval-Augmented Generation (RAG) solutions, integrating proprietary data from sources like Amazon S3 and Google Cloud Storage/BigQuery, and using Bedrock Knowledge Bases and/or Vertex AI Search & Groundi

Location Details: At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ This position may be a hybrid or fully remote position, as decided by your manager. If designated as hybrid, you’ll divide your time between working remotely from your home and an office location, so you should live within commuting distance. If designated as remote, you’ll be working remotely from your home and may occasionally visit a GoDaddy office to meet with your team for events or meetings. Your hiring manager can share more about this role’s hybrid or remote designation. This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands. GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC. Join Our Team Join a team powering secure, scalable email services for millions of customers worldwide! As part of GoDaddy's Professional Email team, you'll solve complex challenges in distributed systems, cloud infrastructure, security, and AI while modernizing critical platforms that businesses rely on every day. If you enjoy owning impactful systems, working across a diverse technology stack, and building innovative solutions at scale, you'll feel right at home here. What you'll get to do... Design, build, and maintain highly available, scalable APIs and services used by millions of customers Deploy, manage, and optimize cloud infrastructure in AWS Architect and implement modern solutions that improve performance, reliability, and security Leverage AI technologies to enhance development workflows and create innovative customer experiences Monitor, troubleshoot, and resolve complex production issues using modern observability and monitoring tools Drive continuous improvement through automation, modernization, and operational excellence C

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. As a Technical Program Manager for Compute Infrastructure, you will lead technical programs to develop and rollout next generation technology solutions to process a diverse spectrum of infrastructure workloads across Roblox services to enable users around the world to efficiently, reliably, and securely enjoy the Roblox Platform. You Have: Been a technical leader with domain expertise in systems and software used to process and manage Cloud and on-prem Infrastructure 7+ years of experience in software industry driving the build of large-scale infrastructure Experienced with establishing work relationships across multi-disciplinary teams and earning trust as a technical leader with all partners Experienced with identifying critical technical problems and opportunities Experienced with delivering end to end technical programs through roadmapping and reliable execution Able to turn specific solutions into systems that benefit the larger community in the long run Knowledgeable about user needs, scoping, planning, execution and delivery Flexible around process, using process as a tool when it makes sense for a team Experience with Kubernetes, Cloud platforms (e.g. AWS), and AI/ML infrastru