Ai Knowledge Analyst in United States

About the Team The Technology Vertical team builds within Core Products. The team’s mission is to transform every major function in a technology company with AI to drive higher economic output, while people remain owners of the outcomes: setting intent, applying judgment and craft, directing iteration, and owning the result. About the Role As a Product Manager on the Technology Vertical team, you will shape how knowledge workers use AI in their daily work. You’ll craft enterprise products at the intersection of novel research capabilities and genuine enterprise needs, driving the full feedback loop from research, to product, to OpenAI’s own enterprise functions, to the broader Technology Vertical. This role is based in San Francisco, CA. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. In this role, you will: Own the product roadmap for a line of business within tech verticals, using OpenAI’s organization to test, refine, and scale new workflows. Develop the ecosystem strategy across technology partners in your line of business You might thrive in this role if you: Have built enterprise products for non-developer knowledge workers and understand the needs of both individual contributors and organizational buyers. Can turn complex workflows, integrations, and permission requirements into clear product decisions. Are comfortable developing a strategy while working closely with engineers, customers, and cross-functional partners to ship and learn. Bring strong judgment about which vertical-specific needs should become reusable capabilities across a broader product. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and

About the team The ChatGPT Library team is building the persistence layer that helps people and organizations collaborate with increasingly capable AI systems. ChatGPT Library provides users with a durable place for their files, context, and creations, forming a substrate between humans and agents—a foundation for AI that can remember, retrieve, and act on the right context over time. The team sits within the Personalization organization and partners closely with product, design, research, model, and infrastructure teams. Its work helps models become a useful second brain for individuals—for example, answering questions such as “What did I work on last week?”—and supports enterprise use cases that turn company knowledge into accessible, actionable context. About the role We are looking for a hands-on engineering manager to lead a team of approximately 9–10 engineers and own execution across the product roadmap. This is a technical leadership role for someone who can set a high product bar, build a strong team, shape architecture, and contribute directly when needed. You will form and translate an ambitious product vision into a focused roadmap and help the team ship reliable, intuitive experiences at the intersection of AI, knowledge, and collaboration. The ideal candidate leads by example. You are comfortable moving between people leadership, product decisions, technical design, and code. Founder or early-stage startup experience is especially valuable because the role requires urgency, sound judgment under ambiguity, and a willingness to operate across boundaries. In this role you will • Lead, coach, and grow a team of approximately 9–10 engineers while creating clarity, accountability, and a healthy execution rhythm. • Own the engineering roadmap for Library, working with product and design partners to prioritize the highest-impact problems. • Set a high bar for product quality, technical excellence, reliability, privacy, and user trust. • Provide hands-on techni

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Our Tensix Team is building the next generation of high-performance AI compute systems. We’re looking for a Power Architect to drive architectural strategy, modeling, and design decisions that shape how power is understood and optimized across our products. This is a hands-on role with massive influence over how we build power-aware systems from the ground up. This role is hybrid, based out of Santa Clara, CA, Boston, MA, Austin, TX or Toronto. We welcome candidates at various experience levels. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are 15+ years experience with power estimation tools like PowerArtist, PtPX, RTL Architect, and PrimePower. Skilled in modeling and optimizing power at the architectural level, with deep knowledge of power-gating, voltage domains, and leakage control. Track record of influencing architectural and micro-architectural changes that meaningfully reduced design power. Proficient in Verilog HDL, Design Compiler, C/C++ and Python. Background in power-optimization of compute datapath and/or interconnects. What We Need Predict power consumption early in architecture and track it through RTL evolution. Propose architectural changes for power optimization across server and non-

About the Team We bring OpenAI's technology to the world through products like ChatGPT and the OpenAI API. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the Role We are looking for an experienced Research Engineer to work on retrieval & search problems across our API and ChatGPT. As the AI landscape has evolved over the last few years, retrieval & search have emerged as key use cases for our models, and we are investing in ensuring that we can offer these search-based product experiences for our users. You will be at the center of our retrieval & search efforts as a company, and the progress you drive here will reach millions of end users. In this role, you will: Work on retrieval & search algorithms and methodologies in close collaboration with our research team, including problems in such domains as document search, enterprise search, knowledge retrieval, and web-scale search. Deploy these search methodologies into production in both the API and ChatGPT to be used by millions of end users. Explore novel research topics in retrieval & search that may inform our product strategy in the medium and long term. Partner with researchers, engineers, product managers, and designers to bring new features and research capabilities to the world You might thrive in this role if you: Have extensive prior experience building and maintaining production machine learning systems. Have prior experience working with vector databases, search indices, or other data stores for search and retrieval use cases Have prior experience building and iterating on internet-scale search systems Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done Have the ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or de

About the Team The Codex Web Layer team provides the web-based systems and user experiences for Codex across the entire stack, from the Electron-like application framework that powers the application, to the user-facing in-app browser. About the Role In this role, you will be responsible for designing and implementing infrastructure and features end-to-end for the Codex desktop client application. You will help define what it means to be a hybrid agentic/interactive web browser. The team embodies “full stack” development from the lowest-level OS integration to the highest-level interaction design. 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: Partner closely with product and design to conceive, design, and build features for Codex web browsing features on macOS and Windows. This role will focus mostly on the backend C++ layer and Chromium, but many features cross the full stack including some TypeScript. Partner with the wider Codex team to deliver a high-performance, stable, and secure application platform for client development. This includes API design and implementation (mostly in C++) and the infrastructure that supports deploying it (in Python, TypeScript, and agentic skills). Work with a small, experienced team of engineers on this critical and rapidly growing product. You might thrive in this role if you: Have significant experience building technically complex features end-to-end. Are a strong C++ developer, especially with experience in browser environments like Chromium and Electron. Since this role is more backend focused, general knowledge of web development and TypeScript is helpful but not required. Thrive in a fast-paced, ambiguous environment. Communicate clearly and concisely across many different roles in the organization. Are self-directed, identifying important work and executing it end-to-end. About OpenAI OpenAI is an AI

About the Team OpenAI’s Applications Engineering organization builds and operates the products (such as ChatGPT & Codex) that bring our cutting-edge research to millions of users and developers worldwide. The Applied Foundations team owns the core product and platform layers that make those experiences possible — from identity & access, to safety to payments & commerce across all of our apps. Our teams span product engineering, infrastructure, and safety, working together to deliver technology that is reliable, secure, and trusted at global scale. About the Role We’re hiring Backend Software Engineers to design and implement safe services and infrastructure that power our core products. What You’ll Do Architect, build, and improve scalable backend systems and APIs. Drive performance, reliability, and safety across distributed services. Implement data storage, retrieval, compute, and integration solutions. Participate in long-term architectural planning and technical design reviews. Collaborate with cross-functional teams to design solutions that protect against and mitigate adversarial attacks without compromising user experience. You Might Thrive Here If You: Have strong experience with distributed systems, APIs, and backend languages (e.g., Go, Python, Rust, C++). Have experience setting up and maintaining production backend services and data pipelines. Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed. Enjoy building resilient services that handle large scale and complexity. Are self-directed and enjoy figuring out the best way to solve a particular problem Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek

About the Team OpenAI’s Applications Engineering organization builds and operates the products (such as ChatGPT & Codex) that bring our cutting-edge research to millions of users and developers worldwide. The Applied Foundations team owns the core product and platform layers that make those experiences possible — from identity & access, to safety to payments & commerce across all of our apps. Our teams span product engineering, infrastructure, and safety, working together to deliver technology that is reliable, secure, and trusted at global scale. About the Role We’re hiring Full-Stack Software Engineers to design and implement safe services, systems and infrastructure that power our core products. In this role, you will: Architect, build, and improve frontend and backend systems. Work across the full stack to build products and systems from initial exploration through launch readiness. Participate in long-term architectural planning and technical design reviews. Collaborate with cross-functional teams to design solutions that protect against and mitigate adversarial attacks without compromising user experience. You might thrive in this role if you: Have built and shipped full-stack apps or systems end-to-end — in fast-moving, startup-like environments. Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed. Enjoy building resilient products and services that handle large scale and complexity. Are self-directed and enjoy figuring out the best way to solve a particular problem Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool t

About the Team The Integrity team at OpenAI is dedicated to ensuring that our cutting-edge technology is not only revolutionary, but also secure from a myriad of adversarial threats. We strive to maintain the integrity of our platforms as they scale. The Integrity team is at the front lines of defending against misuse in all its forms: content abuse, scaled attacks, and other actions that could undermine the user experience or harm our operational stability. About the Role As a Machine Learning Engineer in OpenAI's Integrity team, you will have the opportunity to work with some of the brightest minds in AI. You’ll work on state-of-the-art models and classifiers, experiment with new architecture and approaches, and push forward our abilities in content and user understanding. You’ll help turn research breakthroughs into tangible solutions that improve the trust and safety of our platform. If you're excited about training LLMs and building ML models, this role is your chance to make a significant mark. In this role, you will: Innovate and Deploy: Design and deploy advanced machine learning models that solve real-world problems. Bring OpenAI's research from concept to implementation, creating AI-driven applications with a direct impact. Collaborate with the Best: Work closely with researchers, software engineers, and product managers to understand complex business challenges and deliver AI-powered solutions. Be part of a dynamic team where ideas flow freely and creativity thrives. Optimize and Scale: Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they are production-ready. Contribute to projects that require cutting-edge technology and innovative approaches. Learn and Lead: Stay ahead of the curve by engaging with the latest developments in machine learning and AI. Take part in code reviews, share knowledge, and lead by example to maintain high-quality engineering practices. Make a Difference: Monitor and maintain deployed m

About the Team With Codex we’re building an AI software engineer. One that you can pair with, delegate to, or even ask to take on future tasks proactively. Our team is a fast-moving group within OpenAI, bringing together research, engineering, design, and product. We iteratively build the Codex agent harness and product to get the most out of the model, and we iteratively train the model to be great at complex software engineering tasks. The Codex team is responsible for building state-of-the-art AI systems that can write code, reason about software, and act as intelligent agents for developers and non-developers alike. We operate across research, engineering, product, and infrastructure; owning the full lifecycle of experimentation, deployment, and iteration on novel coding capabilities. Codex Enterprise builds the ecosystem, governance, and enterprise capabilities that help Codex spread across developers, teams, and organizations worldwide. The Enterprise Controls team owns the systems that allow companies to safely deploy Codex across their organization while protecting their most sensitive code, data, and internal knowledge. About the Role As Codex adoption grows inside large organizations, customers are increasingly trusting Codex with their most valuable assets: proprietary codebases, internal documentation, customer data, and sensitive workflows. This role will help build the enterprise control plane that makes Codex secure, governable, and trustworthy at scale. You will design and operate backend systems that give enterprise administrators visibility and control over how Codex is used across their organization. You will work across identity, access, encryption, policy enforcement, auditability, and admin controls. This may include systems that let customers manage encryption keys, control which Codex capabilities are enabled, enforce organizational policies, and understand how data flows through Codex. This role owns systems end-to-end: from architecture and

About the Team The Integrity team at OpenAI is dedicated to ensuring that our cutting-edge technology is not only revolutionary, but also secure from a myriad of adversarial threats. We strive to maintain the integrity of our platforms as they scale. The Integrity team is at the front lines of defending against misuse in all its forms: content abuse, scaled attacks, and other actions that could undermine the user experience or harm our operational stability. About the Role As a Machine Learning Engineer in OpenAI's Integrity team, you will have the opportunity to work with some of the brightest minds in AI. You’ll work on state-of-the-art models and classifiers, experiment with new architecture and approaches, and push forward our abilities in content and user understanding. You’ll help turn research breakthroughs into tangible solutions that improve the trust and safety of our platform. If you're excited about training LLMs and building ML models, this role is your chance to make a significant mark. In this role, you will: Innovate and Deploy: Design and deploy advanced machine learning models that solve real-world problems. Bring OpenAI's research from concept to implementation, creating AI-driven applications with a direct impact. Collaborate with the Best: Work closely with researchers, software engineers, and product managers to understand complex business challenges and deliver AI-powered solutions. Be part of a dynamic team where ideas flow freely and creativity thrives. Optimize and Scale: Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they are production-ready. Contribute to projects that require cutting-edge technology and innovative approaches. Learn and Lead: Stay ahead of the curve by engaging with the latest developments in machine learning and AI. Take part in code reviews, share knowledge, and lead by example to maintain high-quality engineering practices. Make a Difference: Monitor and maintain deployed m

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. Skills and Qualifications: Product Knowledge: Deep understanding of product offerings and their real-world applications, particularly in AI technologies, enabling effective communication of value to potential customers. Sales Expertise: Proven track record in building positive relationships, prospecting, and negotiating high-value deals with senior executives. Experience generating pipeline through cold calling and prospecting. Interpersonal Skills: Strong communication and interpersonal abilities, with the capacity to be personable yet persistent, adapting your approach to different customer needs. Technical Acumen: Effective combination of selling skills and technical understanding, focusing on strategic thinking, problem-solving, and value creation tailored to each unique client. Adaptability: Ability to thrive in a fast-paced, dynamic environment, with a high level of flexibility and the capacity to adapt to changing priorities and overcome challenges. Responsibilities: Lead Generation: Responsible for outbound prospecting, generating new leads, and developing comprehensive strategies to expand the company’s presence within targeted institutions or regions. Client Engagement: B

JLL empowers you to shape a brighter way . Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Automation Engineer – JLL What this job involves: We are seeking an experienced Automation Engineer to design, develop, and implement automation control systems for industrial processes and warehouse distribution equipment. The role requires strong knowledge of engineering principles, programming, and control system technologies, with a focus on improving the reliability and performance of conveyors, sortation systems, scanners, cameras, print-and-apply systems, and SCADA devices. All work must follow established policies and procedures, with safety as a top priority. What your day-to-day will look like: Serve as site technical expert in automation control systems and mentor Apprentices to meet safety and technical standards. Design, develop, implement, and optimize control systems and software; maintain and troubleshoot equipment including PLC/PC controllers and industrial networks. </

About Pinecone Pinecone is the knowledge infrastructure for AI at scale. Its leading vector database and knowledge engine, Pinecone Nexus, power accurate, performant AI applications for more than 9,000 customers and 800,000 developers worldwide. Pinecone's mission is to make AI knowledgeable. Pinecone is based in New York and raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital. About the Team and Role: The Experience team is at the center of one of the most exciting transitions in software development history — the shift from human-driven to agent-driven product experiences. We own Pinecone's API, clients, authentication, revenue, and observability systems, and right now that means redesigning all of it for a world where AI agents are first-class users alongside humans. This is a wide-scope role. You'll own things end-to-end — from backend architecture to API design to SDK and web surfaces. You’ll be working closely with product, design, and other engineering teams to identify user needs and build the right thing, at the right abstraction level, at the right time. Along the way, you will be building high-leverage platform capabilities that accelerate Pinecone’s product development and user growth systems. We're looking for an engineer who sees this moment for what it is: a rare opportunity to shape how developers and agents interact with a category-defining product. You're not waiting to see how the industry figures out MCP, agentic workflows, and AI-native interfaces — you're already experimenting, already forming opinions, already building. You know that speed and leverage matter more than labor, and you've internalized AI-assisted development not as a productivity trick but as a fundamentally different way of working. Responsibilities: Pioneer our agent experience. Shape how AI agents interact with Pinecone — designing interfaces, protocols (MCP), and tooling that make Pinecone the easiest and most capable platform f

About Pinecone Pinecone is the knowledge infrastructure for AI at scale. Its leading vector database and knowledge engine, Pinecone Nexus, power accurate, performant AI applications for more than 9,000 customers and 800,000 developers worldwide. Pinecone's mission is to make AI knowledgeable. Pinecone is based in New York and raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital. About the Team and Role: The Experience team is at the center of one of the most exciting transitions in software development history — the shift from human-driven to agent-driven product experiences. We own Pinecone's API, clients, authentication, revenue, and observability systems, and right now that means redesigning all of it for a world where AI agents are first-class users alongside humans. This is a wide-scope role. You'll own things end-to-end — from backend architecture to API design to SDK and web surfaces. You’ll be working closely with product, design, and other engineering teams to identify user needs and build the right thing, at the right abstraction level, at the right time. Along the way, you will be building high-leverage platform capabilities that accelerate Pinecone’s product development and user growth systems. We're looking for an engineer who sees this moment for what it is: a rare opportunity to shape how developers and agents interact with a category-defining product. You're not waiting to see how the industry figures out MCP, agentic workflows, and AI-native interfaces — you're already experimenting, already forming opinions, already building. You know that speed and leverage matter more than labor, and you've internalized AI-assisted development not as a productivity trick but as a fundamentally different way of working. Responsibilities: Pioneer our agent experience. Shape how AI agents interact with Pinecone — designing interfaces, protocols (MCP), and tooling that make Pinecone the easiest and most capable platform f

About Pinecone Pinecone is the knowledge infrastructure for AI at scale. Its leading vector database and knowledge engine, Pinecone Nexus, power accurate, performant AI applications for more than 9,000 customers and 800,000 developers worldwide. Pinecone's mission is to make AI knowledgeable. Pinecone is based in New York and raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital. About the Team and Role: We are hiring a senior/staff software engineer to help design and build core components of our next-generation knowledge retrieval system built for the AI era – search and retrieval infrastructure that powers high-quality, scalable, and enterprise-grade agentic systems. You’ll build the framework that allows our customers to connect knowledge–synthesized from structured and unstructured data–to modern LLM-powered applications, leveraging the world’s best-in-class vector DB supporting semantic search and hybrid retrieval. This role is ideal for someone who loves backend system architecture, distributed systems, and applied AI infrastructure. It is a high impact role with significant ownership across architecture, performance, and system reliability. Responsibilities: Design and build scalable platform components leveraging advanced retrieval via query planning, semantic and hybrid search, metadata-aware search, and LLM generation Design and build optimized indexing pipelines for structured and unstructured data Build backend services for semantic and hybrid retrieval, knowledge graph construction, and retrieval orchestration Improve retrieval quality through evaluation and observability frameworks Design APIs for internal and external user and agentic consumers Optimize latency, throughput and cost across large-scale inference and retrieval workloads Drive technical direction for reliability and security What You’ll Bring to the Table: To thrive in this role, you don't need to check every single box, but you should be deep