Software Development Engineer In Test in United States

The worldwide data management software market is massive (According to IDC, the worldwide database software market, which it refers to as the database management systems software market, was forecasted to be approximately $82 billion in 2023 growing to approximately $137 billion in 2027. This represents a 14% compound annual growth rate). At MongoDB we are transforming industries and empowering developers to build amazing apps that people use every day. We are the leading developer data platform and the first database provider to IPO in over 20 years. Join our team and be at the forefront of innovation and creativity. MongoDB is seeking a Senior Analyst to support data-driven, people-focused decision making for the company. Partnering with our People team, you will transform HR and organizational data into actionable insights to help us hire the right talent, manage our overall workforce, and improve workforce effectiveness, leading to better outcomes for our people and the company. This position requires someone with strong analytical and technical skills, the ability to tell a story with data, and who is comfortable working across multiple functional areas in a fast-paced, challenging environment. This role can be based out of our NYC office or remotely in the US region. Responsibilities Partner with People teams (business partners, recruiting, culture/talent/development, etc.) to understand their questions, turn analyses into actionable data-driven insights, and make business recommendations Help develop and execute against roadmap for people data investments to both capture near-term value and set up the team for long-term success Leverage understanding of statistics to conduct analyses that help People teams make quicker, more informed decisions Write and maintain complex queries to conduct deep-dive analyses on the impact that People initiatives have on employee engagement, productivity and retention Liaise with Data Engineering and HRIS teams to create

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. Over the past years, Linear has experienced incredible organic growth and has become an instrumental tool for many of the world’s best product teams. We believe customer support should always feel like an extension of that experience. As a Product Support Specialist at Linear, you’ll contribute to the future of our product by surfacing customer feedback and insights, contributing to our technical documentation, and engaging a technical customer community via social channels. 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 within U.S. and Canada Pacific or Mountain Time. You can work from anywhere within those time zones. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you’ll do Support customers in end-to-end engagement, including onboarding, account setup, debugging issues, feature and integration discovery Investigate and resolve inbound customer issues reported through all communication channels, including email, Slack, Twitter, and Reddit Partner with our engineering team to document and reproduce bugs Surface trends and insights from customer feedback to the team at large to inform product choices Lead select strategic projects to improve the support experience, inter

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. As Linear moves upmarket, the gap between deal close and successful enterprise rollout has become our most important surface area. We're hiring an Implementation Manager to own that gap. You will be the single point of accountability from signed contract through successful go-live, coordinating across CSM, Solutions Engineering, Customer Education, Sales, and the customer's own teams to make every enterprise rollout repeatable, on time, and high quality. 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 America. EST time zone is preferred for this position. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you'll do Own end-to-end implementation plans for enterprise customers: timeline, milestones, dependencies, risk, and stakeholder accountability Run the handoff from Sales at deal close in partnership with Customer Success and Solutions Engineering: validate services scope, timeline commitments, complexity signals, and migration readiness Coordinate workspace architecture, migration, and integration workstreams (SSO/SCIM, Slack, GitHub, Jira sync, custom integrations) across customer IT, Solutions Engineering, and engineering escalations Build the enablement calenda

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. We’re hiring a Product Marketing Manager to help shape how Linear’s products are brought to market and understood by customers. This role sits at the intersection of Product, Engineering, Design, CX, Sales, and Marketing, and is responsible for turning technically sophisticated product work into clear narratives, strong launches, and high-quality customer-facing experiences. You’ll go deep on the product, define positioning and messaging, and drive execution across the surfaces that matter most—from in-product copy and changelogs to enablement, documentation inputs, email, and launch communications. This is a hands-on role for someone who combines product judgment, excellent writing, and strong cross-functional leadership. 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 America and the United Kingdom. You can work from anywhere within these regions. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you’ll do Develop positioning, messaging, and core narratives for feature releases, key launches, and strategic product narratives Partner closely with Product management, Engineering, and Design to refine how products are presented across in-product and external surfaces

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. The Manager, Technology Product Management is skilled and experienced to lead a product development team, often for a component of a product or experience. This role contributes to the product vision and translates it for the product development team. They are responsible for team backlog development and prioritization, maintaining the integrity of features or components, and collaborating closely with Engineering, Design, and other members of the team. They will also identify, revise, and socialize team metrics to achieve the defined objectives and key results (OKRs), aligned with business objectives. This individual shares accountability with the Engineering counterpart for the delivery of outcomes by the team. Required Qualifications 5+ years required experience as Product Owner, Business Analyst, Project Manager, Consulting, IT, or related field. Previous experience in agile product development helpful 5+ years required experience in software product management, with demonstrated success in building large-scale consumer-facing products Product Vision, Strategy, and Roadmaps Provides clarity of the product vision, strategy, and roadmap developed and communicated by senior product leaders to the team; assess and refines as needed Partners with product leadership, customer experience, and design to integrate the customer

About the Team We are a small and fast-moving partnerships team that shapes and executes OpenAI’s most important collaborations. Your mission is to build and grow partnerships across the cybersecurity ecosystem. Reporting to the Cybersecurity Partnerships Lead, you will own a portfolio of cybersecurity technology partners and help them validate, launch, and scale solutions powered by OpenAI models and platforms. About the Role You are an experienced partnerships operator who combines business development, partner management, technical curiosity, and strong execution. You can manage external relationships while driving detailed cross-functional work across product, engineering, technical success, sales, marketing, legal, security, and operations. You move with urgency, follow through consistently, and are comfortable managing a portfolio in a fast-changing market. In this role, you will: Source, close and manage a portfolio of cybersecurity technology partners. Identify high-value use cases across security operations, identity, cloud security, application security, threat intelligence, governance, risk, and compliance. Develop partner plans covering integration, launch, enablement, co-marketing, co-sell, and growth. Support partnership structuring and coordinate product, technical, commercial, legal, and security workstreams. Help partners move from concept and technical validation to production launch and scaled customer adoption. Run regular partner reviews, track commitments, resolve blockers, and identify expansion opportunities. Coordinate closely with product, engineering, technical success, sales, marketing, legal, security, and operations. Measure partner pipeline, launches, model adoption, consumption, customer outcomes, and partner health. You might thrive in this role if you have: 8+ years of experience in partnerships, business development, alliances, partner success, or ecosystem roles. Experience in cybersecurity, enterprise software, cloud platforms, o

About the Team Our Safety Systems team is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency. Within Safety Systems, the Model Policy team aligns model behavior with desired human values and norms. We co-design policy with models and for models by driving rapid policy taxonomy iteration based on data and defining evaluation criteria for foundational models’ ability to reason about safety. About the Role Frontier AI systems are rapidly expanding what is possible in cybersecurity and software engineering. These capabilities create major defensive opportunities, but they also raise serious dual-use and misuse risks across areas such as malware development, exploit discovery, vulnerability chaining, credential abuse, cyber intrusion, and autonomous offensive operations. In this role, you will help define how OpenAI’s models should behave in high-risk cybersecurity contexts. You will develop policy frameworks, threat models, taxonomies, evaluations, and behavioral specifications that guide model behavior across training, deployment, and monitoring systems. This role sits at the intersection of cybersecurity, AI safety, threat modeling, evaluation science, and policy implementation. You will work closely with research, engineering, safety training, preparedness, and product teams to build policies that are technically grounded, measurable, enforceable, and responsive to real-world cyber risk. Your Responsibilities: Design and maintain model policies for cybersecurity and frontier-risk domains, especially dual-use and high-risk cyber capabilities. Translate cybersecurity threat models into clear behavioral specifications, evaluation criteria, grading guidance, and system-level mitigations. Define practical boundaries between legitimate security research, defensive workflows, and assistance that could materially enable harmful activity. Build policy artifacts that support i

Why join us Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. Systems at Brex Systems is the connective tissue that powers Brex's growth and operational scale. We operate at the intersection of product, operations, finance, data, engineering, and GTM — solving the company's most complex cross-functional challenges and turning strategy into execution. From driving AI transformation across Operations and GTM to building scalable systems, workflows, and decision infrastructure, Systems helps Brex operate smarter, faster, and with greater leverage. We are redefining how modern operational organizations work by combining business context, systems thinking, and AI-native execution. If you're excited by high-impact problems, hands-on building, and shaping how a modern fintech GTM org operates, Systems is where you belong. What you'll do You'll own the tools, workflows, and automations that our GTM teams — Sales, Sales Development, Customer Success, and Revenue Operations — rely on every day. This is a

Why join us Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. Systems at Brex Systems is the connective tissue that powers Brex's growth and operational scale. We operate at the intersection of product, operations, finance, data, engineering, and GTM — solving the company's most complex cross-functional challenges and turning strategy into execution. From driving AI transformation across Operations and GTM to building scalable systems, workflows, and decision infrastructure, Systems helps Brex operate smarter, faster, and with greater leverage. We are redefining how modern operational organizations work by combining business context, systems thinking, and AI-native execution. If you're excited by high-impact problems, hands-on building, and shaping how a modern fintech GTM org operates, Systems is where you belong. What you'll do You'll own the tools, workflows, and automations that our GTM teams — Sales, Sales Development, Customer Success, and Revenue Operations — rely on every day. This is a

Why join us Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. Systems at Brex Systems is the connective tissue that powers Brex's growth and operational scale. We operate at the intersection of product, operations, finance, data, engineering, and GTM — solving the company's most complex cross-functional challenges and turning strategy into execution. From driving AI transformation across Operations and GTM to building scalable systems, workflows, and decision infrastructure, Systems helps Brex operate smarter, faster, and with greater leverage. We are redefining how modern operational organizations work by combining business context, systems thinking, and AI-native execution. If you're excited by high-impact problems, hands-on building, and shaping how a modern fintech GTM org operates, Systems is where you belong. What you'll do You'll own the tools, workflows, and automations that our GTM teams — Sales, Sales Development, Customer Success, and Revenue Operations — rely on every day. This is a

Why join us Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. Systems at Brex Systems is the connective tissue that powers Brex's growth and operational scale. We operate at the intersection of product, operations, finance, data, engineering, and GTM — solving the company's most complex cross-functional challenges and turning strategy into execution. From driving AI transformation across Operations and GTM to building scalable systems, workflows, and decision infrastructure, Systems helps Brex operate smarter, faster, and with greater leverage. We are redefining how modern operational organizations work by combining business context, systems thinking, and AI-native execution. If you're excited by high-impact problems, hands-on building, and shaping how a modern fintech GTM org operates, Systems is where you belong. What You'll Do You'll own the tools, workflows, and automations that our GTM teams — Sales, Sales Development, Customer Success, and Revenue Operations — rely on every day. This is a

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

We are seeking a mission-driven Developer Relations Manager focused on Foundational AI Research to engage leading academic labs advancing the next generation of AI models, systems, and methods. In this role, you will work directly with top researchers building frontier AI systems, including large language models, multimodal models, reasoning systems, training methods, inference systems, model serving, and scalable AI infrastructure. You will help researchers adopt NVIDIA’s AI and accelerated computing platforms to push the boundaries of model performance, efficiency, and scale. The ideal candidate brings deep technical credibility in foundational AI, strong research engagement experience, and hands-on expertise in either AI inference research or AI training research. What you'll be doing: Serve as a trusted technical advisor to leading academic AI labs working on foundation models, LLMs, multimodal AI, reasoning, training, inference, and AI systems. Identify high-impact research workloads where NVIDIA software, systems, and accelerated computing platforms can advance model performance, scale, and efficiency. Engage principal investigators, postdocs, graduate researchers, and lab leadership to understand research goals, technical blockers, infrastructure needs, and collaboration opportunities. Track frontier AI research across papers, benchmarks, open-source projects, and academic labs to identify emerging trends and future platform opportunities. Partner with Research Account Managers, Solution Architects, Product, Engineering, and Business Development teams to support researcher adoption and long-term engagement. Represent researcher needs internally by translating academic feedback into actionable insights for product roadmaps, developer programs, education, and platform strategy. Support NVIDIA participation in major AI, ML, and systems research venues through technical content,