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 an outstanding Staff Software Engineer with a passion for large scale databases and distributed systems to help us take the FDB platform to the next level. A massive new market opportunity is being created at the intersection of Cloud and Data, and the Snowflake Data Cloud is leading the way, all powered by the database engine we are building from the ground up. Key to Snowflake’s Database Engine is our large scale distributed transactional Key-Value store - called FDB - which powers all of Snowflake’s products and services and is rapidly evolving to meet Snowflake’s future needs. FDB runs on multiple cloud providers including Amazon Web Services, Microsoft Azure and Google Cloud. The elastic infrastructure FDB runs on is being built from the ground up and is envisioned to be a cloud agnostic, fully automated manageability platform that provides: Autoscaling and auto-balancing of clusters based on utilization, traffic and workloads Auto-provis
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We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. About the Team: The Security Governance, Risk, and Compliance (GRC) team is part of Plaid’s security organization, focused on enabling the business by proactively managing information security risks and maintaining effective controls. Our mission is to reduce the likelihood and impact of security risks while operating a robust assurance program that builds trust with our customers, consumers, and data partners. We partner closely across the company to ensure Plaid’s platform remains secure, resilient, and aligned with industry and regulatory expectations. The Security Contracts workstream is a core part of our Security Assurance and Trust Enablement program — ensuring Plaid's contractual security obligations with customers and data partners are defensible, consistent, and never a bottleneck to deal velocity, all while building trust. About the Role You will own Plaid’s Security Contracts workstream end-to-end—the DRI for how security contract reviews get done, how fast they move, and how the program improves over time. You will review security provisions in customer MSAs, DPAs, and security addenda, identify unacceptable clauses, and provide Legal and GTM with the actionable security feedback they n
Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. <職務概要 / Position Overview> RDA(リアルタイム デフェクト アナリシス=工程内欠陥検査)チームにおいて、製造ライン全体の品質・Yield改善およびExcursion防止をリードするSUSTAININGエンジニア。欠陥分析及びデータに基づき、複雑かつ横断的な課題の根本原因を特定し、改善戦略の立案・推進・標準化までを担う。また関係部門をリードしながら迅速な意思決定と実行を推進し、Fab全体のKPI改善に貢献する。 Lead quality and yield improvement and excursion prevention across the entire manufacturing line as a Sustaining Engineer within the RDA (Real-time Defect Analysis) team. Leverage defect analysis and data-driven insights to identify root causes of complex, cross-functional issues, and drive end-to-end improvement strategies from planning through execution to standardization. Drive rapid decision-making and execution while leading cross-functional stakeholders, contributing to Fab-level KPI improvement. ------------------------------------------------------------------------------ <職務内容 / Key Responsibilities> 1) 技術リード • 複雑な欠陥・異常(Unknown / high repeat issue等)の根本原因解析リード • SPCやビッグデータを活用したトレンド管理・異常予兆検知 • 定量的Impact(Wafer at Risk / Yield)を伴う改善推進 早期検知および迅速な対応により、エクスカージョンの予防および封じ込めを実施 2) 改善推進・リーダーシップ • Cross Functional teamをリードし改善活動を推進 • 優先順位付け・Resource allocationの実施 • エスカレーションや意思決定の主体的推進 • Wafer at Risk、Cycle Time、WIPへの影響を定量化し、優先順位を決定 3) Fab貢献 • Cross Functional teamをリードし改善活動を推進 • 優先順位付け・Resource allocationの実施 • エスカレーションや意思決定の主体的推進 RDA業務における自動化、ルールベースシステム、およびデータ統合を通じて、デジタルトランスフォーメーションを推進 4) ナレッジ・育成
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. We are looking for people who have a strong background in data science and cloud architecture to join our Professional Services team to help create exciting new offerings and capabilities for our customers! This team will be working with customers using Snowflake to expand their use of the Snowflake Data Cloud to bring data science pipelines from ideation to deployment, and beyond using Snowflake's features and its extensive partner ecosystem. The role will be more strategic, advising our clients on best practices and advice to implement Data Science workloads on Snowflake. You will be designing solutions based on requirements and coordinating with customer teams, and where needed Systems Integrators, while maintaining oversight and direction to ensure successful outcomes AS A TECHNICAL ARCHITECT - AI/ML AT SNOWFLAKE, YOU WILL : Be a technical expert on all aspects of Snowflake in relation to the AI/ML workload Provide customers with best practices and advise as it relates to Data Science workloads on Snowflake Build, deploy and ML pipelines using Snowflake features and/or Snowflake ecosystem partner tools based on customer requirements Work hands-on where needed using SQL, Python, to build POCs that demonstrate implementation techniques and best practices on Snowflake tech
Who Are We? Postman is the world’s leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration—enabling users to create better APIs, faster. The company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman. P.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman. The Opportunity We are looking for a Staff Engineer to join our Observability team. This role is ideal for a highly technical engineer who thrives on uncovering the truth behind complex system behaviors, diagnosing difficult production challenges, and driving platform-wide improvements. As a Staff Engineer, you will operate as a force multiplier across engineering teams, helping Postman build world-class observability capabilities while improving reliability, performance, and developer productivity. You will partner closely with Infrastructure, Platform, Product, Security, and Data teams to identify systemic issues, establish operational excellence, and ensure engineering teams have the visibility they need to operate at scale. What You'll Do Drive the technical vision and architecture for Postman's observability platform. Design and build scalable solutions for metrics, logging, tracing, alerting, and operational analytics. Investigate complex production issues, identify root causes, and drive long-term corrective actions. Partner with engineering teams to improve service reliability, availability, performance, and operational mat
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. We are looking for world-class Solution Architects to join our Global field teams whose technical skills and customer savvy will help customers understand and utilize the value of the cutting-edge data platform that we are building. They must share our passion about reinventing the data platform and thrive in a dynamic environment. The Solution Architect will work hand-in-hand with Sales, Product, Engineering, and Marketing. In this role you will work directly with the account sales team on a handful of global accounts with GCCs in India to accelerate their Snowflake journey. The Solution Architect will be responsible for providing the technical expertise to make Snowflake customers successful in driving existing projects and uncover new use cases. This data architect will have a broad range of skills and experience ranging from data architecture to ETL/ELT, data science, security, performance analysis, analytics, etc. He/she will have the insight to make the connection between a customer’s specific business problems and Snowflake’s solution, the customer-facing skills to communicate that connection and vision to a wide variety of technical and executive audiences, and the technical skills to be able to not only build demos and execute proof-of-concepts but also to provide
Biohub is the first large-scale initiative bringing frontier AI models, massive compute, and frontier experimental capabilities under one roof. We're building a general-purpose system to accelerate scientific discovery, integrating frontier AI models, biological foundation models, and lab capabilities, with the ultimate goal of curing disease. Our technology powers scientists around the world, translating AI capabilities into tools that accelerate research everywhere. The Team Our AI research team sits at the heart of our mission to unlock new dimensions of biological understanding. You will leverage state-of-the-art AI to accelerate discovery and drive transformative insights in biology—developing novel AI models purpose-built for biological research, engineering robust systems that enable breakthrough science at unprecedented scale, and translating these advances into practical tools that empower researchers worldwide. Our approach is comprehensive and integrated, bringing together world-class AI model development, exceptional engineering talent, high-quality biological data, powerful computing infrastructure, and strategic partnerships. Success requires excellence across five interconnected pillars: training frontier AI models specifically for biology; building engineering systems that maximize research velocity and efficiency; executing a sophisticated data strategy that fuels AI development; operating a world-class AI compute platform; and creating impactful products that transform AI capabilities into accessible scientific tools. The Opportunity This is an opportunity in the AI Research Wet Lab team to shape the future of biological research by pushing the boundaries of what AI can achieve in science. You’ll work alongside leading experts in AI and biology, with the resources and mandate to tackle some of the most important questions in human health—advancing frontier AI research, connecting rich biological data to AI systems, and translating models and data i
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's RL Scaling Science team studies how reinforcement learning behaves as we scale it (across model size, compute, and task horizon) and turns that understanding into the training recipes behind our frontier models. As a Research Engineer on this team, you'll design and run large-scale experiments to understand and resolve bottlenecks, build the benchmarks that make long-horizon progress measurable, and ship validated findings directly into production training. This role lives at the boundary between research and engineering. The problems are open, the experiments run at frontier scale, and the path from a robust result to production is short. Key responsibilities Design, run, and interpret large-scale RL experiments, reasoning rigorously about what the data does and doesn't show Investigate how RL improves as horizon, compute, and model size grow Build and maintain benchmarks for long-horizon RL so progress is measurable and reproducible Translate validated findings into production training recipes, exercising judgment about when a result is robust enough to ship Debug complex issues at the seam where research meets infrastructure - failures that only appear at scale Partner closely with adjacent RL teams across research and engineering and advance our overall RL stack Minimum qualifications Strong empirical research skills in Reinforcement Learning, large-scale ML training, or a closely adjacent area Demonstrated ability to own large experiments end-to-end, from design through interpretation Proficiency in Python and experience working with large-scale or distributed ML systems Comfort operating at the researc
A Career with Point72's Technology Team As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications. As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business. WHAT YOU'LL DO Build and scale resilient, low-latency enterprise network infrastructure across LAN, WAN, WLAN, and data center networks to support critical business systems Configure, monitor, and troubleshoot routing and switching platforms Operate and maintain Palo Alto Networks firewalls, managing security policies, VPNs, and software upgrades Administer and troubleshoot enterprise load balancers to ensure application availability Design, deploy, and support enterprise wireless infrastructure, including access points, controllers, and authentication services Respond to network incidents, perform root cause analysis, and drive timely resolution in a production, high-availability environment Implement and maintain network automation and tooling using scripting languages and vendor APIs to reduce manual work and increase reliability Monitor network performance and capacity, proactively identify trends, and remediate issues before they impact users Participate in network upgrade
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 Client Account Manager you will manage a portfolio of Retail Enterprise Brands based in the Netherlands. You will drive growth with high‑potential, performance, and brand‑focused advertisers. You will harness the power of AI-driven solutions and data intelligence to optimize client outcomes and elevate the account management experience. You will provide strategic direction to drive growth for your clients on Pinterest, helping them realize the opportunity available to expand their business. You will be part of a team culture that values collaboration, innovation and achieving great results. If this sounds like fun, we’d love to hear from you! What you’ll do: Build and nurture relationships with our advertising partners; proactively share performance, optimizations, updates, and opportunities. Ensure that our partners’ objectives and require
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