Field Operations Executive in United States

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? As an Account Executive at Cohere you will have ownership of the full sales cycle - from identifying leads to closing deals, with State, Local and Higher Education customers in the Western region of the United States. In this role you will be focussed on business development activity within the government departments and agencies at the state and local level, as well as within higher education within your territory.. We’re looking for an approachable and compelling communicator who loves working with SLED customers to uncover their needs and feels comfortable developing tailored value propositions around how Cohere’s platform can help them drive better citizen outcomes. You’ll lay the foundation for Cohere’s growth by owning your territory and collaborating with teammates across Customer Success, Sales Development, Marketing, and Sales Engineering. You’ll be the voice of the field and help our Product and Engineering teams prioritize the Cohere roadmap with customer-centric care. In this highly self-directed role, you will thrive in a quickly evolving environment. As an Account Executive, you will : Drive net-new

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in New York. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will Own technical delivery across multiple deployments from first prototype to stable production Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Scope work, sequence delivery, and remove blockers early Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks that others can use Share field feedback that helps Research and Product understand where the models succeed and where they can improve Keep teams moving through clarity and follow-through You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience that includes customer-facing work Have scoped and delivered complex systems in fast-moving or ambiguous environments Write and review production-grade code across frontend and backend using Python, JavaScript, or c

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will Own technical delivery across multiple deployments from first prototype to stable production Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Scope work, sequence delivery, and remove blockers early Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks that others can use Share field feedback that helps Research and Product understand where the models succeed and where they can improve Keep teams moving through clarity and follow-through You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience that includes customer-facing work Have scoped and delivered complex systems in fast-moving or ambiguous environments Write and review production-grade code across frontend and backend using Python, JavaScript,

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in Seattle. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will Own technical delivery across multiple deployments from first prototype to stable production Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Scope work, sequence delivery, and remove blockers early Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks that others can use Share field feedback that helps Research and Product understand where the models succeed and where they can improve Keep teams moving through clarity and follow-through You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience that includes customer-facing work Have scoped and delivered complex systems in fast-moving or ambiguous environments Write and review production-grade code across frontend and backend using Python, JavaScript, or co

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,

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. This is not a back-office compliance role and it is not a generic sales-engineering role. You will operate as a named member of deal teams under our pod model: paired with Strategic and Enterprise Account Executives, embedded in their weekly cadences, engaged from first discovery through POC, onsite, close, and expansion. You will be the practitioner in the room that a buyer's CISO or GRC lead trusts — and the internal expert our AEs, SEs, and marketing team build around. What you’ll do as a Subject Matter Expert at Vanta: Serve as the dedicated GRC SME for a book of Strategic/Enterprise Account Executives: join discovery and qualification calls at the earliest deal stages, scope compliance programs against Vanta's platform, and support demos, POCs, workshops, and customer onsites across Compliance, Third-Party Risk Management, Risk Management, and Trust/Questionnaire Automation. Advise prospects on program architecture: multi-framework strategy, shared controls, business-unit and workspace scoping, custom frameworks, and audit sequencing. Answer field questions through our SME channels at customer-forwardable quality — including reviewing and validating AI-agent-generated answers before they reach customers. Our team runs AI-first: you'll use agents daily, act as the quality gate on their output, and (ideally) build tooling of your own. Design and deliver enablement: live sessions for GTM teams, bootcamp scenarios and mock-customer roleplay, async curriculum modules, and review of GRC marketing and SEO content. Own monthly alignment cadences with sales front-line managers; feed structured product feedback to our Product and PM

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. This is not a back-office compliance role and it is not a generic sales-engineering role. You will operate as a named member of deal teams under our pod model: paired with Strategic and Enterprise Account Executives, embedded in their weekly cadences, engaged from first discovery through POC, onsite, close, and expansion. You will be the practitioner in the room that a buyer's CISO or GRC lead trusts — and the internal expert our AEs, SEs, and marketing team build around. What you’ll do as a Subject Matter Expert, GTM at Vanta: Serve as the dedicated GRC SME for a book of Strategic/Enterprise Account Executives: join discovery and qualification calls at the earliest deal stages, scope compliance programs against Vanta's platform, and support demos, POCs, workshops, and customer onsites across Compliance, Third-Party Risk Management, Risk Management, and Trust/Questionnaire Automation. Advise prospects on program architecture: multi-framework strategy, shared controls, business-unit and workspace scoping, custom frameworks, and audit sequencing. Answer field questions through our SME channels at customer-forwardable quality — including reviewing and validating AI-agent-generated answers before they reach customers. Our team runs AI-first: you'll use agents daily, act as the quality gate on their output, and (ideally) build tooling of your own. Design and deliver enablement: live sessions for GTM teams, bootcamp scenarios and mock-customer roleplay, async curriculum modules, and review of GRC marketing and SEO content. Own monthly alignment cadences with sales front-line managers; feed structured product feedback to our Product a

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the Role Join Replit's key teams across the company, such as AI Research, Strategic Finance, or the Office of the CEO, for a unique paid internship built for sharp quantitative and creative minds. You will work alongside our top executives, in addition to world-class engineers, designers, and finance team on some of the hardest problems in AI-native software creation and accelerating key areas of our business. We are creating a dedicated track for students with strong mathematical backgrounds because the problems we are solving sit at the intersection of deep math and applied AI, including agent reasoning, systems optimization, and improving how our models learn and perform at scale. Your work will directly shape how millions of users build software. You Will: Contribute to real engineering problems that push the boundaries of AI-powered software creation Collaborate with engineers, designers, and product managers on infrastructure that powers Replit's platform Prototype novel approaches to problems in AI, systems, or tooling where mathematical rigor is the differentiator Ship work that impacts millions of developers globally, in an environment where your ideas are heard and often implemented Required Skills and Experience: Currently pursuing a Bachelor's, Master's, or PhD in Mathematics, Computer Science, Computer Engineering, Statistics, Physics, or a related quantitative field At least one semester of schooling remaining after the internship Demonstrated excellence in competitive mathematics such as IMO and IOI, quantitative research, or advanced coursework Genuine curiosity about AI, agent systems, company building, or developer tooling Extremely bullish on Replit and the future of AI-native software creation

About the Team The Interpretability team studies internal representations of deep learning models. We are interested in using representations to understand model behavior, and in engineering models to have more understandable representations. We are particularly interested in applying our understanding to ensure the alignment of powerful AI systems. Our working style is collaborative and curiosity-driven. About the Role OpenAI is seeking a researcher passionate about understanding deep networks, with a strong background in engineering, quantitative reasoning, and the research process. You will develop and carry out a research plan in mechanistic interpretability, in close collaboration with a highly motivated team. You will play a critical role in helping OpenAI ensure future models remain safe even as they grow in capability. This will make a significant impact on our goal of building and deploying safe AGI. In this role, you will: Develop and publish research on techniques for understanding representations of deep networks. Engineer infrastructure for studying model internals at scale. Collaborate across teams to work on projects that OpenAI is uniquely suited to pursue. Guide research directions toward demonstrable usefulness and/or long-term scalability. You might thrive in this role if you: Are excited about OpenAI’s mission of ensuring AGI benefits all of humanity, and are aligned with OpenAI’s charter . Show enthusiasm for long-term AI safety & alignment, and have thought deeply about technical paths to safe AGI. Bring experience in the field of AI safety & alignment, mechanistic interpretability, or spiritually related disciplines. Hold a Ph.D. or have research experience in computer science, machine learning, or a related field. Thrive in environments involving large-scale AI systems, and are excited to make use of OpenAI’s unique resources in this area. Possess 2+ years of research engineering experience and proficiency in Python or similar languag

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

NVIDIA is seeking a Senior Software Engineer to help us develop distributed storage services for AI/ML. In this role you will work closely with the broader NVIDIA team to design and build a reliable, scalable, and efficient storage-as-a-service tailored to AI applications that can be deployed anywhere and scale without limitations. This service supports the whole NVIDIA critical business from graphics drivers to autonomous vehicles to deep learning frameworks. To achieve this goal, we are looking for an engineer with a deep understanding of distributed systems, outstanding design skills, and a track record in building and delivering large-scale distributed services. What you will be doing: Leading the overall architecture and design of our distributed storage service optimized for AI/ML Develop and maintain distributed, robust and scalable Go programs deployed to state of the art open-source ecosystems, including Kubernetes. Develop and maintain user-space applications, containers, Go-bindings, and CLI tools. Building features for a distributed storage service to enhance availability and reliability for large-scale deployments Engaging and collaborating with NVIDIA Research, Computing, Product teams, cross-functional teams, and external customers to deliver Cloud services. Automating distributed storage service end-to-end, including deployment, management, and monitoring What we need to see: Bachelor’s of Science in Computer Science, or related field (or equivalent experience) with 8+ years of industry experience Strong background in developing distributed systems involving Golang, Kubernetes, and Cloud Service Provider integrations Strong track record of delivering distributed services in a variety of distributed computing environments Experience in i

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. Our Construction & Engineering team drives the delivery of world‑class facilities that power Micron’s manufacturing and innovation. We work across disciplines to build safe, efficient, and reliable environments that enable teams across the company to do their best work. We are looking for a Project Manager who will lead complex construction projects from concept through completion. In this role, you’ll own scope, schedule, and budget while coordinating multi-functional teams and ensuring that safety, quality, and technical excellence are built into every step. Your leadership will make a direct impact on Micron’s ability to grow and operate at scale. Responsibilities: Lead assigned construction projects, managing scope, schedule, budget, resources, and vendor performance Ensure all work follows Micron safety, environmental, and quality standards; drive proactive hazard identification and resolution Develop and maintain project financials including estimates, forecasts, cash flow, and cost controls Build and manage detailed project schedules; remove roadblocks and coordinate multi-functional alignment Lead design reviews, competitive bidding, contract execution, and project programming and development activities Minimum Qualifications: Degree in Engineering, Construction Management, Project Management, or related field; or relevant certification/licensing 5+ y

Senior Low Observables (LO) Mission Systems Integration Engineer Company: The Boeing Company The Senior LO Mission Systems Integration Engineer will lead design, integration, analysis, test, and production activities for low observable materials, structures, apertures, sensors, and radomes for mission systems. The role requires strong technical leadership, independent execution of complex tasks, advanced use of computational electromagnetic (CEM) solvers, and the ability to produce and defend technical results with minimal oversight. Key Responsibilities Lead design, modeling, and analysis efforts for LO materials, coatings, structures, and integrated mission systems to meet signature reduction and performance requirements. Independently apply CEM solvers (e.g., FEKO, HFSS, CST, WIPL‑D, xFDTD, or equivalent) to model antennas, apertures, radomes, and LO treatments; perform design optimization and trade studies. Drive integration of LO treatments with mechanical, thermal, and sensor/antenna system constraints; identify and mitigate producibility, testability, and sustainment risks. Plan, execute, and oversee laboratory and field tests (anechoic chamber measurements, antenna/radome characterization, RCS measurements); lead data collection, reduction, and validation activities. Develop and validate predictive models, reconcile simulations with measurements, perform uncertainty quantification, and provide actionable recommendations to engineering and program leadership. Produce high-quality technical documentation: test plans, test reports, technical memoranda, design reviews, and customer briefings. Mentor and provide technical oversight to junior engineers and technicians; ensure adherence to engineering processes, qual

Experienced Low Observables Mission Systems Integration Engineer Company: The Boeing Company We are seeking a Low Observables (LO) Design & Integration Engineer to support design and analysis activities for stealth/low-signature systems. The engineer will perform LO material and structure design, electromagnetic analysis, integration and test support, data processing, and technical reporting. The role requires practical experience with LO materials and technologies, solid electromagnetics knowledge, and hands-on expertise with computational electromagnetic (CEM) solvers used to design and optimize LO solutions. Key Responsibilities Perform design and analysis tasks for LO materials, coatings, treatments, and structural treatments to minimize radar, infrared, and other signatures. Develop and validate LO integration concepts for aircraft/vehicle structures and subsystems, including manufacturability and testability considerations. Use CEM solvers to model, simulate, and optimize LO components and systems (e.g., surface treatments, RAM, apertures, seams, RAM-structure interactions). Perform sensitivity studies and trade-offs across materials, geometry, and integration approaches to meet system-level LO requirements. Process and analyze measured test data from laboratory and flight/field tests; compare test results to simulation and iterate designs. Produce technical documentation: detailed analysis reports, integration guidance, test plans, and summaries suitable for engineering and program management audiences. Communicate technical results and recommendations to multidisciplinary teams and support design reviews. Support manufacturing and test engineering to ensure LO design intent is preserved through fab

We're looking for a Senior Mechanical Engineer for Midjourney Medical — from precision electromechanical assemblies up to the large-scale structures and mechanisms that hold everything together and make it move. This role spans the full range of scale: one week you might be refining a compact transducer mount, the next you're architecting a structural frame or designing the motion system that positions hardware within it. This is a hands-on role on a small cross-functional team. You'll take problems from whiteboard sketch to working hardware yourself — designing in CAD, prototyping in the shop, testing, iterating, and integrating with research teams, electrical and software engineers along the way. We move fast and expect you to drive your own work: identifying what needs to happen next, making sound engineering calls without waiting for permission, and shipping hardware that works. What you'll do Own parts of the mechanical systems end to end — structures, mechanisms, and electromechanical integration Design large-scale structures: frames, weldments, enclosures, and support systems, with attention to stiffness, weight, manufacturability, and serviceability Design mechanisms: linkages, motion stages, actuation systems for precise, reliable positioning and articulation Integrate transducers, electronics, cabling, and thermal management into large physical systems Perform engineering analysis (tolerance stack-ups, structural/FEA, mechanism kinematics) to de-risk designs before committing to hardware Build and test relentlessly — 3D printing, rapid prototyping, and hands-on fabrication are core to how you'll validate designs Select parts and materials for system-level integration, balancing performance, cost, and lead time Drive projects independently from concept through validation, and collaborate closely with a small cross-disciplinary team to hit project goals What we're looking for Bachelor's degree in Mechanical Engineering or a related field 5+ years of experien