Ship Suitability Engineer Jobs

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team The Data Product Experiences (DPE) team is dedicated to making Stripe's merchant-facing data products intuitive, delightful, and actionable. We build client-side rendering engines, high-performance charting libraries, and interactive visualization interfaces that handle high-throughput streaming telemetry and real-time merchant analytics. What you’ll do In this role, you will architect and build high-performance client-side data rendering engines from scratch to visualize tens of thousands of data points smoothly. You will collaborate closely with Designers, Product Managers, and Front-End Systems Engineers to define cutting-edge data visualization paradigms that reduce cognitive load and prevent visual fatigue for Stripe's users. Responsibilities Partner with designers and product managers to prototype, build, and ship interactive analytics dashboards and data visualization tools across the Stripe Dashboard. Contribute to Stripe’s core design system by developing scalable, reusable visualization components and charting standards for engineering teams. Design frontend integration strategies and robust API contracts to enable seamless adoption of analytics components by partner teams. Provide technical leadership and mentorship through code reviews, pairing, and fostering frontend engineering best practices. Collaborate across Product, Design, Data Infrastructure, and Analytics teams to deliver high-quality, data-driven user experiences. Opti

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team The Data Product Experiences (DPE) team is dedicated to making Stripe's merchant-facing data products intuitive, delightful, and actionable. We build client-side rendering engines, high-performance charting libraries, and interactive visualization interfaces that handle high-throughput streaming telemetry and real-time merchant analytics. What you’ll do In this role, you will architect and build high-performance client-side data rendering engines from scratch to visualize tens of thousands of data points smoothly. You will collaborate closely with Designers, Product Managers, and Front-End Systems Engineers to define cutting-edge data visualization paradigms that reduce cognitive load and prevent visual fatigue for Stripe's users. Responsibilities Partner with designers and product managers to prototype, build, and ship interactive analytics dashboards and data visualization tools across the Stripe Dashboard. Contribute to Stripe’s core design system by developing scalable, reusable visualization components and charting standards for engineering teams. Design frontend integration strategies and robust API contracts to enable seamless adoption of analytics components by partner teams. Provide technical leadership and mentorship through code reviews, pairing, and fostering frontend engineering best practices. Collaborate across Product, Design, Data Infrastructure, and Analytics teams to deliver high-quality, data-driven user experiences. Opti

🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About this role This is a chance to help shape the next chapter of WRITER's product at a moment when generative AI is redefining how work gets done. As senior staff product manager, you'll report directly to Wil Pong, VP of Product, and operate as a force-multiplier across the product organization — setting direction where it's unclear, aligning stakeholders, and making sure our most critical initiatives ship with excellence. You'll own ambiguous, high-impact problem spaces that span multiple product areas and teams, and you'll be equal parts strategist and operator. One moment you're shaping a multi-quarter roadmap; the next you're rolling up your sleeves to unblock execution. We're looking for someone who thrives at the intersection of customer empathy, technical depth, and business judgment — and who is energized by turning complex, evolving AI capabilities into products customers love. We are open to hiring for this role at multiple levels, with compensation ranges scaled

🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About this role This is a chance to help shape the next chapter of WRITER's product at a moment when generative AI is redefining how work gets done. As senior staff product manager, you'll report directly to Wil Pong, VP of Product, and operate as a force-multiplier across the product organization — setting direction where it's unclear, aligning stakeholders, and making sure our most critical initiatives ship with excellence. You'll own ambiguous, high-impact problem spaces that span multiple product areas and teams, and you'll be equal parts strategist and operator. One moment you're shaping a multi-quarter roadmap; the next you're rolling up your sleeves to unblock execution. We're looking for someone who thrives at the intersection of customer empathy, technical depth, and business judgment — and who is energized by turning complex, evolving AI capabilities into products customers love. 🦸🏻‍♀️ Your responsibilities Drive high-impact product initiatives end-to-end, from di

SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: SpaceXAI serves our community of users and customers by working tirelessly to preserve free expression and choice, create limitless interactivity, and create a marketplace that enables the economic success of all its participants. At SpaceXAI, we now have a substantial opportunity to change how marketers interact with our rapidly growing user base. X is creating a world-class team of media professionals, and seeking an experienced Client Account Manager to grow revenue with advertisers and their agencies. RESPONSIBILITIES: As a Client Account Manager, you will become a true X expert and use that to simplify the platform and ship strong campaigns for priority clients from Greater China and the wider APAC region. Educate and consult on X advertising products, best practices, and campaign design Execute, optimize, and analyze programs using internal tools and dashboards Monitor revenue and pace client campaigns against targets Partner with the Client Partner on retention, pitch support, and performance reporting Resolve campaign issues quickly and improve the process behind them Feed product and tools teams so the ads platform can scale Maintain the book and a high-quality client and agency experience Mentor new t

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Manager, Software Development Are you an elite technical leader who thrives as a hands-on contributor while simultaneously coaching, mentoring, and scaling a high-performance software engineering team? At Appian, engineering managers don’t just oversee. They build, shape, and grow the people and technology that power AI automation for the world’s largest enterprises and governments. Location: Chennai, India | Work Model: On-site (5 days/week) About the Team Our Engineering team is revolutionizing how Appian resolves customer issues by building AI-powered diagnostic tools and internal platforms that dramatically reduce resolution time. We combine deep technical expertise with AI innovation to empower support engineers to identify root causes faster, ensuring our customers experience uninterrupted business-critical operations. This team operates with high autonomy and directly impacts customer satisfaction and retention across Appian's enterprise client base The Opportunity Appian is at an inflection point where intelligent automation meets customer success, and we need a technical leader who can architect and ship the next generation of diagnostic platforms. This role exists because our growing enterprise customer base demands faster, smarter issue resolution, and AI agents are the key to unlocking that scale. You will shape both the technical direction and the team culture while delivering tools that become essential to how Appian supports thousands of mission-critical deployments worldwide. What You’ll Do Lead the design and delivery of a scalable

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Join a world-class team of engineers building the next generation of enterprise storage solutions. As a key contributor, you'll be at the forefront of innovation, developing and optimizing the Linux kernel to push the boundaries of performance and reliability. You'll play a vital role in shaping the future of our products, collaborating with a brilliant team to solve complex challenges and deliver groundbreaking results. WHAT YOU'LL DO Develop new features within the Linux kernel in support of Pure’s enterprise storage products. Maintain and patch existing Linux code to resolve difficult problems, including customer issues. Optimize performance of the kernel within Pure’s arrays to meet customer requirements Work cross-functionally and with partners and vendors, to diagnose and resolve problems at the boundary of hardware and software Lead the architecture and development of software from initial concept to release, ensuring high-quality, resilient, and high-performance outcomes. Collaborate and share knowledge with peers, providing mentorship as necessary. Participate in code reviews and collaborate with cross-functional teams to define requirements for upcoming enterprise storage server projects. WHAT YOU BRING Deep, hands-on experience in Linux kernel/Unix and device driver development, with a proven ability to ship high-performance, resilient products. Minimum 5 years experience preferred A

About Inspira Education Inspira Education Group is one of the fastest-growing edtech startups in the US. We started with a simple mission to democratize access to high-quality coaching so that every student in the world has an equal opportunity to access the best opportunities. As the world’s leading network of top admissions coaches in medical, legal, business, and college studies, we’re building software and services in one place—disrupting long-entrenched application processes with products and experiences that strive to provide an equal platform for candidates from diverse backgrounds worldwide. As one of the fastest-growing edtech firms in the world, we are backed by some of the leading venture capital firms and investors in the world, including Zeev Ventures, Quiet Capital, Craft Ventures and Jeff Fluhr (Founder of Stubhub). About the role We’re looking for a strong full-stack engineer who can own the complete product development process: understand a business problem, define the solution, design the user experience, build the software, and improve it after launch. You’ll work closely with leadership and business teams, combining hands-on engineering with product management and design responsibilities. You should be highly effective with AI coding tools and have the technical depth to independently review, debug, secure, and maintain everything you ship. What you’ll own Translate business needs and user feedback into product requirements, user flows, prototypes, and prioritized development plans. Design and build polished applications across the front end, back end, database, and integrations. Make architecture decisions and scope releases that balance speed, reliability, and future maintainability. Use AI tools throughout development to accelerate implementation, testing, debugging, and documentation. Own deployment, production monitoring, incident resolution, and ongoing improvements. Measure whether your work improves adoption, conversion, opera

About The Weather Company: The Weather Company is the world’s leading weather provider, helping people and businesses make more informed decisions and take action in the face of weather. Together with advanced technology and AI, The Weather Company’s high-volume weather data, insights, advertising, and media solutions across the open web help people, businesses, and brands around the world prepare for and harness the power of weather in a scalable, privacy-forward way. The world’s most accurate forecaster globally, the company reaches hundreds of enterprise clients and more than 360 million monthly active users via its digital properties from The Weather Channel (weather.com) and Weather Underground (wunderground.com). AI is part of how we work: Human judgment, expertise, and creativity remain essential and are amplified by AI. We expect everyone in this role to use AI thoughtfully and proactively to accelerate their performance, improve the quality of their work, and explore new possibilities. We are looking for people who are curious, adaptable, and excited to help shape an AI-enabled culture that delivers better outcomes for our customers and our company. Job brief: The Weather Company reaches hundreds of millions of people through the world's most-used weather apps. We're hiring our first dedicated Growth PM to own how new and existing users discover value — starting with onboarding and activation, then expanding into the habit and retention loops that turn casual weather-checkers into daily users. The impact you'll make: Drive Core Business Metrics: Measurably improve Day 0 (D0) registration and subscription conversion rates across our primary growth funnels. Expand Engagement Touchpoints: Increase notification opt-in rates and drive surface-level engagement through higher widget adoption. Accelerate Experiment Velocity: Scale our experimentation framework to ship more tests per quarter and shorten decision-making cycles. Unify the Cross-Platform Experien

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craf

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craf

NVIDIA DGX Cloud is an AI Factory designed to power the next generation of AI and industrial-scale breakthroughs. As a Principal Engineer for Security Architecture, within our Security Engineering organization, you will own a core security domain of the AI factory: the architecture, the paved road that delivers it, and much of the code underneath. You will hold the security design bar across DGX Cloud from inside the teams doing the building, and this is a founding seat on a new team. Security Engineering is a new organization at DGX Cloud, accountable for the security outcome of the platform, and Security Architecture is the function inside it that holds the design bar. Security here is fleet horizontal and stack vertical, so your work will cross every DGX Cloud engineering organization: you will embed with the teams building GPU clusters, control planes, and services, join their designs as a participant rather than an approver, and leave behind systems in which an entire class of risk is no longer possible. There is no architecture review board here and no approval queue. You are a senior IC with deep security domain knowledge, and the security bar holds because you helped set it and then helped ship it. What You Will Be Doing: Own a Security Domain End to End: Take architectural ownership of a core domain of DGX Cloud security, from the design through the system running in production. That could be tenant and GPU workload isolation, workload identity, infrastructure and network, supply-chain provenance, hardened baselines and patching, or deploy-time policy and admission control. Embed with the Teams Building It: Join the design early, write the code, and help land it. The posture is not "you did this wrong." It is "here are the considerations we need to meet, I will help, let's go to work." Build Paved Roads, Not

NVIDIA DGX Cloud is an AI Factory designed to power the next generation of AI and industrial-scale breakthroughs. As the Distinguished Engineer for Security Architecture, within our Security Engineering organization, you will set the security design bar for an AI factory of hundreds of thousands of GPUs, and then build against it alongside the teams. This is the founding architecture seat in a new organization. Security Engineering is a new organization at DGX Cloud, accountable for the security outcome of the platform, and this is the architecture function inside it. You will define the security design standard for DGX Cloud, a bar that sits above the company floor, and hold it from inside the teams doing the building. Security here is fleet horizontal and stack vertical, so your scope runs from the hardware root of trust and the hardened baseline, through tenancy and GPU workload isolation, to the services and APIs built on top, across every DGX Cloud engineering organization. A small team of Principal Engineers will report to you and hold the bar at domain depth. This is still a hands-on seat, and you stay in the design with them. You will also serve as DGX Cloud's technical interface into NVIDIA's central security organization. There is no architecture review board here and no approval queue; the bar holds because the strongest security engineers in the room helped set it and helped ship it. What You Will Be Doing: Set the DGX Cloud Security Bar: Own the security design standard across DGX Cloud (tenancy, GPU workloads, identity, supply chain, and isolation) and make it concrete. Reference architectures, golden paths, and requirements engineers can actually build against, not a policy library. Hold the Bar by Building: Embed with engineering teams on real work: join the design, learn the code, help ship the thing rather than grade it afterward.

About the Team The Plugin Ecosystem team builds the platform and product experiences that let people extend ChatGPT and Codex. We work on plugins, skills, connectors, interactive apps, and open standards like the Model Context Protocol (MCP). We make plugins easy to discover, install, and use, ensure they’re invoked at the right time, and help people find new ways to get value from them. We want anyone to be able to turn a useful workflow into a plugin, share it, and have other people use it. A plugin can package instructions and skills with connections to the tools and data it needs. Our work spans creation and publishing, reliable execution across our products, clear permissions and approvals, and the controls admins need to bring plugins to their organizations. We work closely with research to improve plugin quality as models evolve. About the Role We’re looking for product-minded engineers to build the systems behind plugins and improve how models use them. Depending on your focus, you may scale generalist infrastructure and identity-related integrations across products, or improve plugin quality at the intersection of backend engineering and applied AI or work on the product experience itself to drive plugin usage. You’ll work across teams and own problems from diagnosis and design through implementation and release. This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Design and ship APIs, SDKs, and services that developers use to extend ChatGPT and Codex. Build intuitive experiences that help users discover, install, and use plugins to get more done. Make plugins easier to create, test, publish, update, and share. Improve when and how models use plugins, from choosing the right plugin to completing a task. Work with Research to diagnose failures and measure improvements as models evolve. Improve plugin reliability and interaction quality acros

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. Our team works across silicon, embedded systems, operating systems, and cloud services to build reliable consumer devices and the novel platforms required to support them. We partner closely with research to bring advanced AI capabilities into the physical world. About the Role As an Operating Systems Engineer focused on on-device inference, you will design, develop, and ship the OS stack that makes advanced AI capabilities reliable, responsive, and energy efficient on consumer devices. Your work will span OS services and frameworks, inference runtime integration, model fitting, scheduling, and performance and power management. You’ll partner with research to adapt models to device constraints, make design decisions across the stack, and carry solutions from early exploration through integration and production. In this role, you will: Build the inference platform: Design and implement maintainable OS services, frameworks, and clear interfaces for inference execution, model loading and lifecycle, and resource management. Fit models to device constraints: Partner with researchers on quantization, runtime integration, and memory optimization to meet memory, compute, and energy budgets while evaluating model quality and product behavior. Coordinate system resources: Develop scheduling and resource policies that balance inference with other device act