Applications Support Sr Analyst Jobs

About the Team OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. Safely delivering increasingly capable AI systems requires scalable technical safeguards, clear ownership of emerging risks, rigorous deployment readiness, and close coordination across research, engineering, product, operations, legal, policy, and external partners. Our Technical Program Managers lead complex, high-stakes initiatives that turn safety commitments into deployed systems and measurable outcomes. We work across model development, infrastructure, product, and operational response to help ensure our technology is deployed responsibly and cannot be used to cause serious real-world harm. About the Role We’re seeking Technical Program Managers to drive complex product, platform, and safety initiatives across ChatGPT, API, enterprise, and related deployment environments. These roles operate at the intersection of technical strategy and execution: you will turn safety and product priorities into actionable plans, influence architectural and operational decisions, and deliver durable capabilities across model, infrastructure, application, and platform layers. Depending on the role, you may enable sensitive or high-impact model deployments, integrate safeguards into cloud and API platforms, prevent violent misuse and other serious harms, improve detection and enforcement systems, create platform solutions for safety or establish new programs as risks evolve. You will partner deeply with engineers, researchers, product managers, and operational teams while communicating technical tradeoffs and program decisions to senior leadership. You bring technical fluency, product judgment, and a strong execution record. You’re comfortable navigating ambiguity, advocating for users and developers, balancing safety with model usefulness, and leading cross-functional work with urgency, rigor, and empathy. Specific focus areas and scope will vary by opening and level. In

About the Team OpenAI's Industrial Compute organization is building the world's most advanced AI infrastructure ecosystem. Through a combination of strategic partnerships and self-built campuses, we are scaling the compute, storage, and networking platforms that power frontier AI training and inference. The Scaling Analytics team builds the data and software systems that help Industrial Compute understand, plan, and operate infrastructure at global scale. We work across capacity, hardware, storage, infrastructure software, and operational systems to connect fragmented sources of infrastructure data and make that information reliable and usable for engineering and planning. As OpenAI's infrastructure footprint grows, CPU and storage data increasingly spans internal platforms, vendor systems, APIs, databases, object storage, capacity management systems, and operational tooling. Building reliable connections across these environments is critical to understanding available capacity, utilization, fleet state, and infrastructure growth. About the Role We are seeking a Data Engineer to build the data systems and integrations that connect OpenAI's CPU, storage, and supporting infrastructure platforms. This role sits at the intersection of data engineering and backend software engineering. Rather than focusing primarily on traditional analytical pipelines, you will build the software and integrations required to collect, normalize, and make infrastructure data available across a heterogeneous set of systems. CPU and storage data may originate from internal infrastructure platforms, vendor APIs, databases, object storage, capacity systems, and operational services. You will determine how to reliably connect these systems and where those integrations should live—whether within an existing infrastructure service, an orchestration framework, a scheduled workload, or a purpose-built application. You will work closely with Infrastructure Engineering, Capacity Engineering, Storage,

About the Team OpenAI’s Cyber team works to make frontier AI safe, trusted, and transformative for developers and enterprises. This team is building the security foundation for Codex: the native controls that govern what Codex can access and do, and the interfaces that allow customers and security partners to inspect, constrain, approve, and respond to Codex activity. Our goal is to make Codex secure by default, governable by enterprises, and interoperable with the security products customers already trust . This extends the existing product direction around tenant-scoped tools, guarded actions, approval systems, and scalable partner interfaces. About the Role We are looking for a deeply technical Product Manager to help build Codex security controls and the partner ecosystem around them. This role focuses on securing Codex itself : how identity, permissions, tools, MCP servers, repositories, secrets, networks, and high-impact actions are governed across Codex products. You will also help define standard interfaces through which authorized customer and partner systems can provide security context, inspect activity, return policy decisions, receive telemetry, and initiate bounded responses. You will work closely with Codex product and engineering, OpenAI Security and Safety, enterprise customers, and partners across application security, identity, cloud security, data security, infrastructure, and security operations. In this Role you Will Build native security controls for Codex Partner with engineering, design, security, and safety teams to develop controls for: Identity, roles, permissions, and tenant isolation. Access to repositories, files, tools, MCP servers, secrets, networks, and infrastructure. Read, write, execute, and deployment authority. Human and policy-based approvals. Prompt-injection and untrusted-content defenses. Audit trails, provenance, stop conditions, revocation, and rollback. Help establish a graduated authority model in which local, read-only

About the Team OpenAI builds powerful AI systems like ChatGPT, the OpenAI API, and enterprise products that serve millions of users across the globe. As we scale, securing our infrastructure, protecting sensitive data, and meeting global compliance standards are essential to our success and societal impact. Security at OpenAI is a cross-cutting function that spans infrastructure, applied engineering, legal, policy, and product. Technical Program Managers (TPMs) play a critical leadership role in aligning teams and delivering execution at scale and this role will be foundational in shaping how we secure OpenAI’s systems, users, and commitments. About the Role We’re seeking a Senior Technical Program Manager to drive cross-functional security, privacy, IT and compliance initiatives at the intersection of infrastructure, product, and policy. You will execute complex programs that reduce internal data access, prevent misuse, and ship security capabilities. You will focus your efforts on the most critical initiatives within Security, crossing the spectrum of insider threat, information security, physical security, and information technology challenges. This role is deeply technical and execution-focused. It requires a structured operator who thrives in ambiguity, partners effectively across boundaries, and applies principled judgment to scale trust, governance, and security across OpenAI’s systems and products. In this role, you will: Drive execution of critical security and compliance programs such as vulnerability management, merger and acquisition security and integration, infrastructure hardening, and datacenter security management. You will need to deeply collaborate on technical architecture and resolve technical problems in partnership with engineering. Partner with IT, Infrastructure, Application, Legal, Privacy, and Security teams to build scalable programs, and deliver critical security outcomes across multiple disciplines, including insider threat, information

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. Who you are You are an experienced Platform Engineer who owns backend infrastructure end to end. You design multi-tenant, microservices-based systems that other engineering teams build on, and you make deliberate architectural tradeoffs around consistency, latency, scale, and cost. You are comfortable going deep — service mesh internals, database internals, distributed-systems failure modes — and equally comfortable defining the reliability and security contracts an enterprise AI platform depends on. Responsibilities Design, own, and evolve scalable microservices architectures on Kubernetes across GCP, Azure, and AWS, including multi-tenant isolation (namespaces, network policies, per-tenant resource quotas and RBAC). Build core platform and data-plane components in Golang and Python — data ingestion, knowledge-base indexing and vector/graph search, application connectivity, workflow automation, and ML operations — against explicit latency and throughput SLOs. Own service-to-service communication: gRPC/protobuf API contracts, service mesh (Istio/Linkerd), load balancing, retries, timeouts, and circuit breaking. Make and document architectural tradeoffs — partitioning/sharding strat

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. Who you are You are an experienced Infrastructure Engineer Engineer who owns backend infrastructure end to end. You design multi-tenant, microservices-based systems that other engineering teams build on, and you make deliberate architectural tradeoffs around consistency, latency, scale, and cost. You are comfortable going deep — service mesh internals, database internals, distributed-systems failure modes — and equally comfortable defining the reliability and security contracts an enterprise AI platform depends on. Responsibilities Design, own, and evolve scalable microservices architectures on Kubernetes across GCP, Azure, and AWS, including multi-tenant isolation (namespaces, network policies, per-tenant resource quotas and RBAC). Build core platform and data-plane components in Golang and Python — data ingestion, knowledge-base indexing and vector/graph search, application connectivity, workflow automation, and ML operations — against explicit latency and throughput SLOs. Own service-to-service communication: gRPC/protobuf API contracts, service mesh (Istio/Linkerd), load balancing, retries, timeouts, and circuit breaking. Make and document architectural tradeoffs — partitioning

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake delivers the AI Data Cloud, a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the AI Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the AI Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the AI Data Cloud. WHO YOU ARE: Snowflake is experiencing exponential growth, and we are expanding our Alliances team to help us scale. We are looking for a strategic leader to scale our most critical Technology partnerships. As Sr. Partner Development Manager, Strategic Platform & AI Partnerships, you will own the 360-degree relationship for high-value technology partners. The primary focus of the role is supporting our joint customers and sales teams with effective joint go-to-market and resell/co-sell success. Reporting to Sn

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. WHO WE ARE Snowflake delivers the AI Data Cloud, a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the AI Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake's platform is the engine that powers and provides access to the AI Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the AI Data Cloud. snowflake.com WHO YOU ARE Snowflake is seeking a strategic, customer-obsessed Senior Manager, Customer Marketing to own and scale Snowflake's premier co-marketing program that puts our most strategic, iconic customers at the center of our biggest storytelling moments. You are the architect of Snowflake's most visible customer moments: flagship films, marquee keynote appearances, integrated paid campaigns, and web experiences that put our best customers on the world's biggest stages. At the same time, yo

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake delivers the AI Data Cloud, a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the AI Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the AI Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the AI Data Cloud. snowflake.com Snowflake is experiencing exponential growth, and we are expanding our Alliances team to help us scale. As Senior Manager for our Google Cloud partnership, you will lead our partnership with Google Cloud across product integration, joint marketing, and co-sell pillars. The role primarily focuses on supporting our joint customers and sales teams to ensure successful joint go-to-market and co-sell efforts. Reporting to the Senior Director of CSP Alliances, you will have a unique opportunity to work for

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is about empowering enterprises to achieve their full potential, and people too. With a culture that's all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology and careers to the next level. We are hiring a Senior /Technical Program Manager for our Application Experience (AppEx) organization. AppEx is the engineering org that builds the surfaces developers and data engineers love — from Streamlit and Notebooks to Native Apps, Cortex Code, Snowpark drivers, and the developer platform that ties it all together. This TPM will drive high-visibility programs that span multiple AppEx teams and define how tens of thousands of developers experience Snowflake's capabilities every day. AS A SENIOR / STAFF TECHNICAL PROGRAM MANAGER, YOU WILL: Own and drive complex, cross-functional programs across AppEx engineering teams — spanning application surfaces, developer tooling, AI-powered experiences, and the underlying platform — from scoping through delivery Partner with Engineering Managers, Product Managers, and Principal Engineers to define program roadmaps, surface dependencies, and build execution plans that hold up under real-world complexity Serve as the connective tissue across AppEx sub-orgs (Appli

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Role Overview At Snowflake, we are powering the era of the agentic enterprise. We are looking for AI-native builders and operators who use AI as a core part of how they think, learn, and execute. The Startup Business Development Lead will be a key member of the Snowflake for Startups team, responsible for identifying, engaging, and growing relationships with the most strategic AI-native startups. This person will work across Sales, Product, Marketing, AI Partnerships, Ventures, and Solutions Engineering to help high-potential startups build with Snowflake and accelerate adoption of Snowflake AI. This role requires a rare combination of startup ecosystem credibility, business development judgment, and practical understanding of modern AI application architectures. The ideal candidate can engage founders on both business value and technical direction, and can translate Snowflake’s AI platform into compelling growth opportunities for startup partners. This is an individual contributor role and will be accountable for building a high-quality pipeline of AI-native startup opportunities, increasing activation and adoption of Snowflake AI products, and driving long-term consumption growth from strategic startup partners. Key Responsibilities Build and grow relationships with high-

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is a high-growth, cloud-native data platform company committed to empowering enterprises to achieve their full potential. With a culture built on impact, innovation, and collaboration, we offer an environment where you can build large-scale systems, move fast, and take your technology career to the next level. We are seeking a highly talented and experienced Staff Software Engineer to join the Unistore team in our Database Engineering org . The Unistore team is building a unified hybrid data platform that dissolves the boundaries between operational and analytical workloads. Our core product, Hybrid Tables, enables enterprises to manage both transactional and analytical data in a single place. By eliminating the need to move data between separate operational databases and analytical warehouses, we simplify architectures, reduce ETL complexity, and unlock high-performance, real-time application serving—all while maintaining Snowflake's industry-leading scale, performance, and ACID compliance. Joining this team means architecting the performance, scalability, and service infrastructure that will empower the world's largest enterprises to seamlessly govern their transactional and analytical data in one place. If you are passionate about building industry-leading tech

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. This is a dedicated identity engineering role on our Enterprise Cloud Engineering team. You will own and operate the enterprise identity and access platforms — Okta, Microsoft Entra ID, and modern IGA systems — that govern how every employee, application, service, and AI agent authenticates and is granted access at scale. Our team builds the authentication, authorization, identity governance, and identity lifecycle capabilities that keep Snowflake secure and compliant, partnering closely with Security and Engineering to deliver secure-by-default, Zero Trust access. These identity p

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. An Account Executive on our Majors team is one of Snowflake's most senior individual contributor sales roles. Our Account Executives are customer obsessed and we believe in the value we can add and stay honest about it. We love to learn, are open to giving and receiving feedback and are passionate about making our clients successful. Our team works to ensure data is accessible, usable and valuable to everyone. This role will be supporting our Financial Service division. YOU MAY BE A GOOD FIT FOR THE TEAM IF YOU: Act customer first and obsessed with helping customers drive digital transformation. Think big and demonstrate excellence in the application of technology to solve all kinds of problems. Possess a “Get it done” and “Own it” philosophy to drive customer success. Knowledge and experience within the data science, analytics, or big data markets. Feel comfortable talking with all levels of customer teams from individual contributors to C-level executives using language that appropriately translates complex technical and business information. IN THIS ROLE YOU WILL GET TO: Build trusted relationships with Snowflake internal resources, external partners, and client account teams to qualify deals, identify business value, and provide technical guidance in order to set proper

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Enterprises are modernising data platforms and processes at a growing rate to meet the demands of their customers. A majority of this journey requires not just technical expertise but also the ability to drive predictability, and manage complexity. Snowflake’s Professional Services Organisation offers our customers a market-leading set of technical capabilities as well as best practices for modernisation based on experienced leadership. Our portfolio of modernisation solutions spans data migrations, validation, application development, data sharing, lakehouse implementations, data science, and AI. As a Solutions Architect in our team, you will be responsible for delivering exceptional outcomes for our teams and customers during our modernisation projects, with a focus on modern data architectures including lakehouses and streaming data. You will engage with customers to migrate from legacy data platforms, including those based on Cloudera, and build modern data pipelines and lakehouse solutions on Snowflake where customers can then leverage downstream AI and Machine Learning solutions. You will act as the technical lead and expert for our customers throughout this process, guiding customers through decision paths to achieve impactful outcomes and thoughtfully use AI to augm