Software Engineer in United States

FedRAMP Project Manager Description - Job Summary About the company: HP Inc. is a global technology leader pioneering innovative solutions that revolutionize the way people work and live. Our Workforce Experience software platform is at the forefront of optimizing digital experiences in the workplace, comprising multiple modules designed to enhance workforce productivity and employee engagement. About the position : As a FedRAMP Project / Program Manager, you will support the planning, coordination, and tactical execution of HP’s FedRAMP readiness effort for WXP and related managed services capabilities. This role is focused on keeping the program organized, driving follow-through across workstreams, maintaining the integrated project plan, coordinating stakeholder inputs, gathering and documenting requirements, and ensuring progress, risks, dependencies, and decisions are visible to the right owners. This role will work closely with product, engineering, architecture, cybersecurity, legal, operations, managed services, GTM, and external partner teams to help keep the FedRAMP effort moving against defined milestones. Success in this role requires strong organization, attention to detail, clear communication, follow-up discipline, and the ability to turn cross-functional inputs into actionable plans, sta

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. Lab Operations is the physical backbone of that work: we build and maintain the device fleets, test environments, and hardware-in-the-loop labs that let teams test repeatably, understand failures, and ship with confidence. About the Role As a Lab Operations Manager, Systems Integration , you will own the day-to-day operation of a large-scale consumer device test lab. This is a hands-on operations leadership role: you’ll keep device fleets, test rigs, lab infrastructure, inventory, provisioning, maintenance, and logistics running smoothly so engineers and QA technicians have reliable environments for validation and release testing. We’re looking for someone who is highly organized, technically hands-on, comfortable with consumer electronics and lab equipment, and experienced operating complex physical test environments at scale. Because this is a new category of devices, you’ll have the opportunity to build the lab operating model early—shaping the systems, standards, and workflows that support products from prototype through launch. In this role, you will: Own device fleet and inventory: Manage configuration, deployment, tracking, lifecycle, and accurate asset records for a large fleet of consumer devices and test

About Team Our Robotics team is focused on unlocking general-purpose robotics and advancing toward AGI-level intelligence in dynamic, real-world environments. Working across the full model and systems stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the physical constraints of real-world systems to improve people’s lives. About the Role We are looking for a TPM to drive development and integration of a range of sensor systems for robotics. This role will drive cross-functional alignment across requirements, engineering design, integration, validation, manufacturing, supply chain, and release processes, helping turn complex sensor-system needs into clear plans, decisions, and milestones. Location and in-person expectations: This role is based in San Francisco, CA and requires in-person presence 4 days a week. In this role you will: Drive requirements alignment across engineering design, integration, testing, and validation for camera modules, LiDAR, IMUs, RADAR, proximity sensors, audio components and the systems they interact with. Coordinate the integration of modules including electrical, mechanical, harnessing, and software interfaces with the full robotic system with deep understanding of timelines to drive the respective PCBAs, enclosures, build and test fixtures, connectors and cables. Establish effective cadences for technical reviews, BOM readiness, change management, production releases, approvals, and decision tracking. Align harnesses, fasteners, assembly fixtures, test fixtures, and documentation so cross-functional teams can execute against a clear plan. Lead validation planning around functional, reliability, NVH failure modes, including testing needs, schedules, and exit criteria. Partner with manufacturing and supply chain to manage handoffs, lead times, dependencies, and production readiness. Drive tradeoff decisions across cost, qua

We’re hiring a Sr. Customer Success Manager to turn new deployments into measurable outcomes for engineering teams using Coder. You guide customers from onboarding through renewal, clearing blockers, and aligning our platform to their goals. You lead rollouts, monitor health and usage, and keep stakeholders informed. You partner with Sales on expansions and renewals, and with Support and Product on issues and feedback. What you’ll do here Own onboarding and rollout plans for new customers; coordinate with Sales for a smooth, successful implementation of Coder’s platform Remove barriers to adoption so customers achieve their desired outcomes expediently Engage with customers to understand goals, challenges, and use cases, and provide tailored guidance and recommendations Identify expansion opportunities within existing accounts, and partner with Sales on upsell and cross‑sell motions Oversee renewals and forecasting, ensuring timely, successful commitments Serve as the primary point of contact for inquiries, issues, and escalations, and collaborate with Coder teams to resolve Monitor and report on customer health and usage Develop deep expertise in Coder’s products to provide global customer coverage What we’re looking for 3+ years in software/SaaS sales and/or customer success, with enterprise experience preferred Working knowledge of cloud infrastructure, DevOps, developer tools, coding agents, platform engineering, CI/CD, and the SDLC Hands-on experience with Salesforce and other industry-standard CS platforms History of building strong relationships across executive, business, and technical stakeholders Consistent internal advocacy for customers and the ability to provide actionable feedback for Product and cross‑functional teams Habit of staying current on industry trends, CS best practices, and the competitive landscape Startup experience High EQ with strong verbal communication and technical writing skills Self‑motivated with a creative and analytical approach

At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. Our Talent team is looking for an experienced and discerning technical recruiter to help build Linear’s next generation of engineering talent. This is a hands-on, high-impact role for someone who sees recruiting as a craft. Your primary focus will be growing our engineering team in North America. You’ll work closely with engineering leadership and our existing recruiters across product, infrastructure, AI, mobile, and emerging technical roles. You’ll own the full search, from mapping talent markets and activating networks through assessment, work trial support, and close. Linear engineers tend to combine technical depth with product judgment, craftsmanship, and significant ownership. Finding them requires more than matching resumes to requirements. We’re looking for someone who can recognize these qualities, reach candidates with precision, and continually sharpen their judgment through close partnership with our team. All recruiters at Linear are generalists and may support other functions as company priorities evolve, but engineering will be the primary focus of this role. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in North American (Eastern time zone), with a strong preference for the New York City area. Being in New York enables closer partnership with our growing local team, c

As the Senior Product Manager for the Actions & Automations team, you will own the ecosystem that enables customers, partners, and Datadog teams to build, deploy, and operate AI agents on Datadog. You will drive the strategy and execution for the platform capabilities, developer experience, integrations, and extensibility model that make Datadog the best place to build agents that understand and act on production systems. Modern engineering organizations are entering a new era where software is not only monitored and operated by humans, but increasingly by AI-powered agents. As agentic workflows reshape how teams build, operate, secure, and troubleshoot systems, customers need a platform for creating specialized agents, connecting them to business and engineering systems, governing their behavior, and extending them to solve unique organizational problems. You will define and build the ecosystem that makes this possible. Agent Builder sits at the intersection of Datadog's products, AI capabilities, and ecosystem strategy. You will have the opportunity to work across the breadth of the Datadog platform, partner with teams throughout the company, and help establish Datadog as the foundation for operational AI. At Datadog, we place value in our office culture, the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Define the vision, strategy, and roadmap for Datadog's Agent Builder platform and ecosystem. Own the core platform capabilities that enable customers and partners to create, customize, deploy, and manage AI agents. Drive the extensibility model for agents, including integrations, tools, actions, context sources, APIs, SDKs, and developer workflows. Shape how agents perform actions across Datadog products and third-party systems. Partner closely with AI, platform, infrastructure, and product tea

Datadog is looking for a Senior Product Manager to help lead the evolution of our fleet and lifecycle management capability, the product surface that gives customers visibility into, and control over, the observability software running across their infrastructure. This capability manages the deployment lifecycle for core observability agents and OpenTelemetry collectors running on customer hosts and containers. The Senior PM will expand the scope of fleet capability to additional Datadog software components, making it the single place customers go to see everything running in their environment, at any version, in any deployment model, and to manage it remotely and safely at scale, for both human operators and, increasingly, AI agents acting on their behalf. This is a high-visibility, cross-functional role. You'll partner with multiple engineering teams and be responsible for defining and delivering a coherent, unified fleet experience across UI, API, and MCP for customers. At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do Own and evolve the product vision and roadmap for a unified fleet and lifecycle management capability spanning multiple product lines and deployment models. Define what "managed" means for each new software component as it's brought into fleet, balancing consistency of experience with the realities of each component's operational model. Drive a phased expansion plan, sequencing new components into fleet based on customer value, technical complexity, and dependency readiness. Partner closely with engineering leads across several teams to align on shared architecture principles to support disparate software components. Represent the voice of the customer for a capability that must work equally well for human operators using a UI and for AI

As a Senior Platform Product Manager focused on AI SDLC Trusted Throughput, you will define and drive the product strategy for enabling safe, reliable software delivery at AI-native scale across Datadog’s Internal Developer Platform. As AI accelerates development velocity and system complexity, you will help evolve SDLC systems from human-supervised workflows to platforms with built-in safety, observability, and correctness guarantees. You will partner closely with engineering, security, and developer platform teams to improve deployment reliability, operational visibility, and governance while enabling both engineers and AI agents to move quickly with confidence. This role offers the opportunity to shape foundational developer infrastructure and influence how AI-powered software delivery operates across Datadog. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Own the product strategy, roadmap, and execution for AI-native SDLC throughput and reliability initiatives across Datadog’s Internal Developer Platform Define and drive platform outcomes aligned to DORA metrics, balancing deployment velocity with reliability, change failure reduction, and operational safety Partner with engineering, infrastructure, security, and developer experience teams to build automated validation, auditability, and risk-scoring capabilities into deployment workflows Deliver actionable SDLC observability and diagnostic capabilities that connect executive-level metrics to operational signals across the software delivery lifecycle Drive systems that monitor and validate AI-generated or AI-attributed changes to ensure correctness, compliance, and trustworthy automation Serve as a cross-functional product leader across SDLC Foundations, Security Engineering, and compl

About the Team OpenAI’s Compute organization turns ambitious AI research into real-world capability by delivering the compute infrastructure behind our most advanced models. The team works across software, hardware, facilities, operations, and engineering disciplines to make enormous amounts of compute available, reliable, and efficient. As the demand for frontier AI grows, so does the complexity of the systems required to support it. Scaling this infrastructure means solving problems that cut across distributed systems, ML infrastructure, GPU fleets, power, cooling, networking, manufacturing, supply chain, and data center delivery. Our work is focused on expanding the compute foundation that enables OpenAI to train more capable models, including systems like GPT-5.6, and make frontier AI available to more people, products, and workflows. We’re looking for exceptional people across many disciplines to help build the next generation of AI infrastructure at a scale few organizations have attempted. About the Role We are hiring across a broad range of roles to help design, build, scale, and operate OpenAI’s compute infrastructure. Depending on your background, you may work on large-scale distributed systems, ML infrastructure, hardware systems, manufacturing, supply chain, data center development, or the physical engineering systems required to bring massive compute capacity online. You’ll work with teams across research, engineering, hardware, operations, and infrastructure to solve high-impact problems at extraordinary scale. This may include improving system reliability, accelerating deployment timelines, increasing operational efficiency, designing new infrastructure, or helping bring new compute platforms and facilities from concept to production. This is an opportunity to work on one of the most important infrastructure challenges in AI: building the compute foundation required to train and serve increasingly capable frontier models. Key Responsibilities Help bui

About the Team OpenAI’s Compute organization turns ambitious AI research into real-world capability by delivering the compute infrastructure behind our most advanced models. The team works across software, hardware, facilities, operations, and engineering disciplines to make enormous amounts of compute available, reliable, and efficient. As the demand for frontier AI grows, so does the complexity of the systems required to support it. Scaling this infrastructure means solving problems that cut across distributed systems, ML infrastructure, GPU fleets, power, cooling, networking, manufacturing, supply chain, and data center delivery. Our work is focused on expanding the compute foundation that enables OpenAI to train more capable models, including systems like GPT-5.6, and make frontier AI available to more people, products, and workflows. We’re looking for exceptional people across many disciplines to help build the next generation of AI infrastructure at a scale few organizations have attempted. About the Role We are hiring across a broad range of roles to help design, build, scale, and operate OpenAI’s compute infrastructure. Depending on your background, you may work on large-scale distributed systems, ML infrastructure, hardware systems, manufacturing, supply chain, data center development, or the physical engineering systems required to bring massive compute capacity online. You’ll work with teams across research, engineering, hardware, operations, and infrastructure to solve high-impact problems at extraordinary scale. This may include improving system reliability, accelerating deployment timelines, increasing operational efficiency, designing new infrastructure, or helping bring new compute platforms and facilities from concept to production. This is an opportunity to work on one of the most important infrastructure challenges in AI: building the compute foundation required to train and serve increasingly capable frontier models. Key Responsibilities Help bui

About the Team OpenAI’s Compute organization turns ambitious AI research into real-world capability by delivering the compute infrastructure behind our most advanced models. The team works across software, hardware, facilities, operations, and engineering disciplines to make enormous amounts of compute available, reliable, and efficient. As the demand for frontier AI grows, so does the complexity of the systems required to support it. Scaling this infrastructure means solving problems that cut across distributed systems, ML infrastructure, GPU fleets, power, cooling, networking, manufacturing, supply chain, and data center delivery. Our work is focused on expanding the compute foundation that enables OpenAI to train more capable models, including systems like GPT-5.6, and make frontier AI available to more people, products, and workflows. We’re looking for exceptional people across many disciplines to help build the next generation of AI infrastructure at a scale few organizations have attempted. About the Role We are hiring across a broad range of roles to help design, build, scale, and operate OpenAI’s compute infrastructure. Depending on your background, you may work on large-scale distributed systems, ML infrastructure, hardware systems, manufacturing, supply chain, data center development, or the physical engineering systems required to bring massive compute capacity online. You’ll work with teams across research, engineering, hardware, operations, and infrastructure to solve high-impact problems at extraordinary scale. This may include improving system reliability, accelerating deployment timelines, increasing operational efficiency, designing new infrastructure, or helping bring new compute platforms and facilities from concept to production. This is an opportunity to work on one of the most important infrastructure challenges in AI: building the compute foundation required to train and serve increasingly capable frontier models. Key Responsibilities Help bui

About Team Our Robotics team is focused on unlocking general-purpose robotics and advancing toward AGI-level intelligence in dynamic, real-world environments. Working across the full model and systems stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the physical constraints of real-world systems to improve people’s lives. About Role We are looking for an Operations Program Manager - Robotics Data Acquisition to own the day-to-day operating rhythm in our data collection facilities. You will work closely with operators, technicians, program managers, and engineers to keep rigs ready, campaigns moving, issues resolved, and performance improving. This is a hands-on operations role that requires you to be comfortable spending time on the floor, working through ambiguity, and using data to make the operation more reliable and efficient. This role is based in San Francisco, CA and requires in-person presence 5 days a week. In this role you will: Coordinate daily operations readiness across workstations, operators, materials. Track core operating metrics including utilization, cycle time, throughput, downtime, operator productivity, and data quality. Identify bottlenecks through workflow analysis, time studies, and capacity modeling, then drive practical fixes. Execute the rollout of new hardware, sensors, tools, and process changes with Engineering, Operations, Facilities, Supply Chain, and Safety. Identify equipment readiness issues and coordinate with technical support to keep workstations, and test equipment calibrated, configured, maintained, and ready for rollouts and evaluations. Lead root cause analysis for recurring operational issues and follow through on corrective actions. Provide operation input to create and maintain SOPs, work instructions, training materials, and process controls. Identify and flag resource constraints and manage issue escala

About Team Our Robotics team is focused on unlocking general-purpose robotics and advancing toward AGI-level intelligence in dynamic, real-world environments. Working across the full model and systems stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the physical constraints of real-world systems to improve people’s lives. About Role We're a growing hardware company. As we scale, we also need a supply chain that evolves and stays nimble to the changing shape and direction our engineers designs. Today we need someone who understands the iterative process of R&D but is also ready to expand into new product introduction (NPI), and after that, high-volume manufacturing. We're hiring for where we're headed, not just where we are today. This role prioritizes judgment, adaptability, and analytical ability over years of experience alone. A strong candidate will be able to reason from first principles, quickly develop expertise in new commodities, and identify potential commercial or technical issues before they affect the program. While extensive tenure is not required, this is not an entry-level position; candidates should have a solid foundation in strategic sourcing, supplier management, and hardware manufacturing. Over time, you'll help us build out a full supply chain organization: buyers, global supply managers (GSMs), contract manufacturing leads, and specialists across categories like precision machining, gears and mechanical components, EMS/PCBA, electrical components, and contract/JDM manufacturing. Where this role goes - into a specific commodity, into people management, into ops - will depend on where you're strongest and where the business needs you most. This role is based in San Francisco, CA and requires in-person presence 4 days a week and up to 30% travel to vendor sites. In this role you will: Partner directly with engineering during R&

About the Team Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples' lives. About the Role You will work at the cutting edge of OpenAI's robotics hardware, partnering with hardware and software teams to develop, build, test, and iterate on robotic systems. Working closely with engineers, you will build prototypes, execute experiments, fabricate fixtures, troubleshoot hardware, and help drive rapid iteration on new robotic technologies. Your practical problem-solving and technical judgment will help move projects from concept to reality. We are looking for versatile, hands-on generalists who enjoy solving problems across mechanical, electrical, fabrication, and experimental domains. The ideal candidate will have strong experience in high-velocity and early-stage hardware development environments, provide thoughtful feedback to engineering teams, and help improve both hardware and development processes. This role will help accelerate robotics development by enabling fast, high-quality iteration on new hardware concepts and systems. This role is based in San Francisco, CA, and is in-person 5 days a week. In this role, you will: Partner closely with engineers, researchers, and other members of the robotics team to support prototype development, experimentation, and hardware iteration. Build, modify, troubleshoot, and repair robotic systems and electromechanical assemblies spanning structural, electrical, sensing, and actuation subsystems. Design and fabricate fixtures, adapters, test equipment, and other prototype hardware that accelerate development efforts. Execute low-volume builds, engineering changes, and rework activities acro

About the team OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this. In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible. About the Role OpenAI is building a dedicated Digital Natives vertical focused on high-growth technology and internet companies shaping the future of software. As a Sales Manager, you will recruit, develop, and lead a team of senior Account Directors responsible for landing and expanding OpenAI’s largest and most strategic Digital Native customers. You will define how we win in this segment — establishing the operating cadence, deal strategy, and vertical GTM playbook for engaging sophisticated, technically fluent buyers building AI into their core products. You will operate as a hands-on front-line leader: deeply involved in complex opportunities, elevating sales discipline, and shaping how OpenAI scales enterprise revenue in the most dynamic segment of the market. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Key Responsibilities Recruit and develop a high-performing team of Account Directors. Establish a coaching culture centered on rigorous deal reviews, structured 1:1s, and clear performance standards. Raise the talent bar continuously through thoughtful hiring, development, and accountability. Architect and refine the GTM strategy for high-growth tech and internet companies. Shape territory design, account prioritization, and coverage mo