Ai Application Packaging Engineer in United States

WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. WHY BOX NEEDS YOU The Solutions Engineering Team at Box includes solutions engineers, value engineering, platform solution engineering, enterprise architects, and demo engineering. As a Solutions Engineer, you are empowered to sell to business and IT leaders in every space and vertical, and take ownership in crafting customer-centric solutions. You will work alongside the account team to define and expand revenue opportunities, and ensure the solution is ready for cross company deployments. You also act as a critical liaison between Sales and Product; sharing customer feedback with the Product Management, Operations and Engineering functions at Box. Our highest performers have a natural curiosity, develop deep knowledge of the Box platform, have

About the Team The Product & Platform teams at OpenAI are responsible for delivering the company’s most impactful offerings—such as ChatGPT, our API platform, and new enterprise capabilities—to a global and diverse customer base. These systems must perform at scale and deliver exceptional experiences to developers, consumers, and businesses alike. The ChatGPT Multimodal team works across voice, image generation, and other multimodal experiences to turn frontier research capabilities into reliable products. The team connects product usage and failure patterns with research, evaluation, data, inference, capacity, and external partnerships so that model and product improvements translate into better experiences for users. About the Role We are seeking a Technical Program Manager to build the flywheel that helps ChatGPT multimodal products learn from real-world usage and improve quickly. You will lead programs spanning production-signal mining, evaluation and data pipelines, research-to-production parity, multimodal capacity planning, and complex cross-functional dependencies for voice and image-generation launches. You will work closely with product engineering, research, Human Data, inference and capacity teams, safety partners, and external vendors or product partners. Success requires technical depth, strong systems thinking, comfort with ambiguity, and the ability to turn fragmented or manual work into durable mechanisms that teams adopt. 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. In this role, you will: Build a system for mining production conversations and product signals to identify representative multimodal workflows, user needs, and failure modes. Establish and maintain evaluations for the highest-priority multimodal behaviors and use cases, with clear coverage, quality standards, and ownership. Package production signals into decision-ready data and

About the Team Compute Foundations builds the software that manages OpenAI’s GPU compute infrastructure across sites, data centers, and infrastructure providers, supporting model training and inference. Our systems turn large, heterogeneous fleets of machines into dependable compute for research and products. We build Kubernetes-based control planes, controllers, services, and APIs that coordinate the lifecycle of machines and clusters. We connect global infrastructure management with the realities of bare-metal systems, giving clients consistent interfaces across differences in hardware, topology, and provider behavior. About the Role You will build distributed systems that provision, configure, and manage compute throughout its lifecycle. Your work will connect global services and Kubernetes controllers with the systems that bring machines online, update them safely, and recover them when something goes wrong. This role combines software architecture with an understanding of how machines and data centers work. You might design a lifecycle API, improve controller performance under high concurrency and provider rate limits, or trace a provisioning failure from an API through reconciliation to network boot or host configuration. You will help these systems remain reliable as the fleet expands across sites and generations of GPU hardware. We value depth in relevant systems and the ability to connect layers. You do not need to arrive as an expert in every component of the stack. In this role, you will: Design, build, and operate Kubernetes-based controllers and distributed services that coordinate infrastructure across sites, isolate failures, and scale as GPU capacity grows. Define APIs and resource models that let clients request and track lifecycle operations through consistent interfaces across hardware platforms and providers. Build provisioning and configuration services that coordinate network boot, hardware management interfaces, and the deployment of firmware,

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . We are building a world-class sales team, enabling our largest and most strategic partners to best utilize Pinterest advertising products to grow their business. Reporting to Nitin Kumar, our US Emerging Sector Lead, you'll be responsible for setting forth the overall sales strategy for the Financial Services sales organization. In this role, you will lead a sales organization that spans multiple levels and functions (Sales Managers, Partner Managers, and Account Managers). In setting forth the overall sales strategy for this industry, you will work closely with your team to drive consistent value for partners, and revenue growth for Pinterest. What you’ll do: Lead the strategy and execution for Pinterest’s Financial Services advertising business in the US. Drive revenue growth across a large, high-visibility business while defending

About Taskrabbit: Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do’s, such as furniture assembly, handyman work, moving help, and much more. At Taskrabbit, we want to transform lives one task at a time. As a company we celebrate innovation, inclusion and hard work. Our culture is collaborative, pragmatic, and fast-paced. We’re looking for talented, entrepreneurially minded and data-driven people who also have a passion for helping people do what they love. Together with IKEA, we’re creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world. Taskrabbit is a hybrid company with employees distributed across the US and EU and a Built In — Best Places to Work (2022, 2023, 2024, 2025) continually ranked across multiple national and regional categories. Join us at Taskrabbit, where your work will be meaningful, your ideas valued, and your potential unleashed! Prior to applying please note: This role is hybrid requiring 2 days in office at our San Francisco hub every Tuesday & Wednesday (located at 130 Sutter St, San Francisco, CA). About the Role: The Architecture Team drives Taskrabbit's Platform Modernization efforts, guiding engineering teams toward our Target State Architecture (TSA). As a Staff Software Architect, you'll serve as an embedded representative of the Architecture team, partnering with engineering teams across the platform to accelerate their modernization work. You'll operate as a subject matter expert on platform modernization within a small team of architects, applying AI-assisted and Spec-Driven Development (SDD) practices to help teams build new components using our Target State Architecture stack of technologies. This role is hands-on and results-oriented: pairing directly with engineers and technical leads, not just advising from the sidelines. You will be: Act

About Taskrabbit: Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do’s, such as furniture assembly, handyman work, moving help, and much more. At Taskrabbit, we want to transform lives one task at a time. As a company we celebrate innovation, inclusion and hard work. Our culture is collaborative, pragmatic, and fast-paced. We’re looking for talented, entrepreneurially minded and data-driven people who also have a passion for helping people do what they love. Together with IKEA, we’re creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world. Taskrabbit is a hybrid company with employees distributed across the US and EU and a Built In — Best Places to Work (2022, 2023, 2024, 2025) continually ranked across multiple national and regional categories. Join us at Taskrabbit, where your work will be meaningful, your ideas valued, and your potential unleashed! Prior to applying please note: W e are currently unable to provide visa sponsorship for this position (including H-1B, OPT, F1, CPT or other employment-based visas). Candidates must be legally authorized to work in the United States without employer sponsorship now or in the future. This role is hybrid requiring 2 days in office at our San Francisco hub every Tuesday & Wednesday (located at 130 Sutter St, San Francisco, CA). About the Role Data Science plays a crucial role in driving impact at Taskrabbit. We are seeking a highly skilled and motivated Staff Data Scientist to join us, working closely with cross-functional teams from Product teams and occasionally Commercial Operations to provide data-driven insights and solutions that enhance our products and accelerate growth while minimizing marketplace losses. What you will work on Be a strategic thought partner with stakeholders in Product and occasionally Commercia

About the Role OpenAI’s Industrial Compute organization is responsible for ensuring our compute infrastructure scales efficiently to support millions of users and increasingly sophisticated AI models. We’re looking for a Data Scientist to partner closely with Capacity Systems Engineering, Infrastructure, Product, and Research to optimize inference capacity across our global GPU fleet. This role combines statistical modeling, large-scale data analysis, forecasting, and systems thinking to drive critical decisions around infrastructure investments, performance-efficiency trade-offs, and customer experience. You’ll transform complex operational data into actionable insights that directly influence how OpenAI allocates and scales one of the world’s largest AI compute environments. Key Responsibilities Build statistical and machine learning models to profile and improve GPU utilization, latency, throughput, and overall fleet efficiency. Develop forecasting models for inference demand across products, regions, and model families. Analyze production workloads to identify latency bottlenecks and capacity constraints, highlighting optimization opportunities. Partner with Capacity Systems Engineering to inform infrastructure planning and long-term GPU investment strategies. Design experiments and simulations to evaluate scheduling policies, serving strategies, and infrastructure tradeoffs. Build dashboards and operational metrics that enable leadership to make data-driven capacity decisions. Collaborate with Product, Research, Finance, and Infrastructure teams to align compute planning with business growth and model roadmaps. Communicate technical findings clearly to both engineering teams and executive leadership. Qualifications MS or PhD in Statistics, Computer Science, Operations Research, Applied Mathematics, Economics, or related quantitative discipline (or equivalent industry experience). 5+ years of experience working in the infrastructure data science space. Strong ex

About the Team OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Sales team partners closely with customers to deeply understand their businesses and needs, helping inform the development of products and solutions that drive meaningful revenue growth and long-term success on the platform—while maintaining strong standards for user trust and platform integrity. About the Role We’re looking for an Account Manager to support advertisers in onboarding, launching, and growing on OpenAI’s advertising platform. You will manage a portfolio of partners and serve as a trusted advisor, helping them achieve their business objectives while ensuring a strong and responsible experience on our platform. This role sits at the intersection of relationship management, strategy, and execution. You’ll work closely with Sales to drive long-term partner growth and with internal teams to continuously improve the advertiser experience. This role will be hybrid in Seattle, WA. In this role, you will: Own relationships with a portfolio of advertising partners, serving as their primary point of contact. Guide advertisers through onboarding and campaign launches to ensure strong adoption of OpenAI’s ads products. Analyze campaign performance and provide clear, actionable recommendations to improve outcomes. Identify opportunities to expand partnerships through increased product adoption and incremental investment. Partner cross-functionally with Sales, Product, Analytics, Policy, and Operations to resolve issues and enhance platform value. Surface advertiser feedback and insights to inform product improvements and long-term strategy. Help build scalable processes and best practices that support the growth of OpenAI’s advertising ecosystem. You might thrive in this role if you: Have 5-10+ years of experience in digital advertising, account management, customer success, consulting or a related client-facing role. Have

About the Team OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Sales team partners closely with customers to deeply understand their businesses and needs, helping inform the development of products and solutions that drive meaningful revenue growth and long-term success on the platform—while maintaining strong standards for user trust and platform integrity. About the Role We’re looking for an Account Manager to support advertisers in onboarding, launching, and growing on OpenAI’s advertising platform. You will manage a portfolio of partners and serve as a trusted advisor, helping them achieve their business objectives while ensuring a strong and responsible experience on our platform. This role sits at the intersection of relationship management, strategy, and execution. You’ll work closely with Sales to drive long-term partner growth and with internal teams to continuously improve the advertiser experience. This role will be hybrid in San Francisco, CA. In this role, you will: Own relationships with a portfolio of advertising partners, serving as their primary point of contact. Guide advertisers through onboarding and campaign launches to ensure strong adoption of OpenAI’s ads products. Analyze campaign performance and provide clear, actionable recommendations to improve outcomes. Identify opportunities to expand partnerships through increased product adoption and incremental investment. Partner cross-functionally with Sales, Product, Analytics, Policy, and Operations to resolve issues and enhance platform value. Surface advertiser feedback and insights to inform product improvements and long-term strategy. Help build scalable processes and best practices that support the growth of OpenAI’s advertising ecosystem. You might thrive in this role if you: Have 5-10+ years of experience in digital advertising, account management, customer success, consulting or a related client-facing role

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . As a Sr Client Account Manager, you will be in charge of driving a sophisticated book of business featuring some of the largest advertisers at Pinterest. You’ll work directly with some of our key advertisers as a trusted consultant to their business. Your strategic advice, analytical skills and sales skills are core to bringing to life the value we deliver as a platform. In this role, you will help Home Retail advertisers translate inspiration into measurable business outcomes, connecting consumers from discovery to purchase in moments of high intent. You’ll partner with brands navigating performance goals such as efficient customer acquisition, catalog sales growth, and omnichannel conversion strategies, while helping them unlock the unique value of Pinterest as a platform where planning often precedes purchase. This is an opportunity to

About Mixpanel Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com . About the Team The Revenue Marketing team at Mixpanel is responsible for pipeline generation across paid, website, and product-led channels. This role sits within that team as its dedicated engineering owner — accountable for the technical systems that power how people discover, evaluate, and request Mixpanel. You are the only engineer dedicated to this surface, which means you set its technical direction rather than execute against someone else's. You work directly with our marketing teams and partner with Growth Engineering on shared systems. Website design and content are handled by our web design team; your focus is the technical infrastructure, integrations, and systems that sit underneath. About the Role As our Marketing Systems Engineer, you own the technical layer of our marketing engine: the integrations and infrastructure that power our marketing website. The website is our primary lead capture system that turns traffic into pipeline. You own the systems that connect our marketing surface to Salesforce, Customer.io/Hubspot, and our broader GTM stack. You set the technical roadmap for this surface, move fast, measure impact, and treat reliability as a first-class concern rather than a cleanup task.You will also collaborate with Growth Engineering on shared infrastructure including handraiser routing and tracking. Responsibilities Own the technical health of the Mixpanel marketing website: page speed, WCAG compliance, Google Tag Manager, technical SEO, and third-party integrations including Qualified, Optimizely, and TrustArc. Own the integrations between the marketing website and our GTM stack t

About Mixpanel Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com . About the Team The Revenue Marketing team at Mixpanel is responsible for pipeline generation across paid, website, and product-led channels. This role sits within that team as its dedicated engineering owner — accountable for the technical systems that power how people discover, evaluate, and request Mixpanel. You are the only engineer dedicated to this surface, which means you set its technical direction rather than execute against someone else's. You work directly with our marketing teams and partner with Growth Engineering on shared systems. Website design and content are handled by our web design team; your focus is the technical infrastructure, integrations, and systems that sit underneath. About the Role As our Marketing Systems Engineer, you own the technical layer of our marketing engine: the integrations and infrastructure that power our marketing website. The website is our primary lead capture system that turns traffic into pipeline. You own the systems that connect our marketing surface to Salesforce, Customer.io/Hubspot, and our broader GTM stack. You set the technical roadmap for this surface, move fast, measure impact, and treat reliability as a first-class concern rather than a cleanup task.You will also collaborate with Growth Engineering on shared infrastructure including handraiser routing and tracking. Responsibilities Own the technical health of the Mixpanel marketing website: page speed, WCAG compliance, Google Tag Manager, technical SEO, and third-party integrations including Qualified, Optimizely, and TrustArc. Own the integrations between the marketing website and our GTM stack t

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