Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. As an Industry 4.0 (I4.0) Product Owner at Micron Technology, Inc., you will lead the definition, development, and delivery of end-to-end smart manufacturing solutions to empower Micron Assembly and Test Operation to improve cost, scale, quality and productivity. You will bridge business, engineering, and data science teams to drive Industry 4.0 transformation, leveraging industry best methods, advanced analytics, automation, and AI/ML to optimize planning and manufacturing operations. This role requires deep expertise in I4.0 technologies and strong hands-on data science skills to deliver impactful, scalable solutions across global operations. Key Responsibilities Product Ownership & I4.0 Leadership Define and drive the I4.0 product roadmap, aligning with business objectives and manufacturing strategies. Lead cross-functional teams (engineering, IT, data science, operations) to deliver integrated smart manufacturing solutions. Gather, analyze, and prioritize requirements from end users and stakeholders, develop business cases, validate impact, and propose high-ROI projects for implementation. Understands business problems and effectively translates user requirements into technical specifications—and vice versa—for data science, technical
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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. About the Role Snowflake is transforming how enterprise Procure to Pay operates — and we're looking for a senior operations leader to help us execute on that vision. This is not a role for someone who wants to maintain the status quo. We have agentic AI projects in flight, a best-in-class technology stack, and a team that is motivated to build something the industry hasn't seen before. We need someone who can run the operation at a high level while simultaneously driving execution on the automation and AI initiatives already on our roadmap. As Sr. Manager of Procure to Pay Operations, you will own the operational performance of our end-to-end P2P function — spanning Procurement, Accounts Payable, Strategic Sourcing, Travel & Expense, and Global Contracts. You will report directly to the Chief Procurement Officer and serve as the operational backbone of a global, fast-moving team. What You'll Do Own P2P Operations End to End Lead day-to-day operations across Procurement, AP, Strategic Sourcing, T&E, and Global Contracts Ensure SLA performance, approval cycle times, and process compliance meet or exceed targets across all functions Establish clear ownership, operating rhythms, and accountability across a globally distributed team Serve as the primary operational escal
About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. About the Role We are looking for Staff System Software Engineer in Test to join our team. In this role, you will be responsible for design, development, automation and reporting of Integration and system tests spanning across firmware and device drivers. This role requires you to have significant technical breadth and deep understanding of low-level system software specifically in server class systems. You will be part of a new team responsible for integration of different system software deliverables and development of system tests spanning all the components. You will contribute to shaping the test strategy , guide best practices and solve complex problems while maintaining a strong hands-on focus. You will partner with development and other QA teams to deliver high quality scalable and reliable solutions. The team and culture You will join a new integration and system test team within System Software QA. The team verifies integrated components across BMC, firmware and Linux device drivers. Work happens close to the hardware, across component teams and QA. You will partner with developers,
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. The Customer Experience Engineering Team builds the internal and external technologies that scale Snowflake’s global support and sales organizations. We empower our technical experts by providing the advanced tools they need to resolve complex issues and drive customer success. Our team specializes in software engineering, data-driven decisions, ML, and LLM-based solutions . We build production-grade systems to automate manual processes and augment the capabilities of our technical staff. Our current focus includes: LLMs : Developing and deploying LLM and agent-based architectures for streamlining troubleshooting Scalable Evaluations : Implementing large-scale evaluations to ensure the quality and reliability of our internal and external tools Process Automation : Designing intelligent workflows that eliminate bottlenecks and allow our experts to focus on the most technical aspects of the Snowflake platform Incident discovery: using embeddings, LLMs, clustering, and agents to detect potential widespread issues more quickly Now, the team is growing, and we are looking for a Software Engineer to join us. In this role, you will work closely with the state of the art LLM models, fine-tune them, develop agents, apply various clusterings, summarizations, embeddings, and so on. Ev
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. The Customer Experience Engineering Team builds the internal and external technologies that scale Snowflake’s global support and sales organizations. We empower our technical experts by providing the advanced tools they need to resolve complex issues and drive customer success. Our team specializes in software engineering, data-driven decisions, ML, and LLM-based solutions . We build production-grade systems to automate manual processes and augment the capabilities of our technical staff. Our current focus includes: LLMs : Developing and deploying LLM and agent-based architectures for streamlining troubleshooting Scalable Evaluations : Implementing large-scale evaluations to ensure the quality and reliability of our internal and external tools Process Automation : Designing intelligent workflows that eliminate bottlenecks and allow our experts to focus on the most technical aspects of the Snowflake platform Incident discovery: using embeddings, LLMs, clustering, and agents to detect potential widespread issues more quickly Now, the team is growing, and we are looking for a Software Engineer to join us. In this role, you will work closely with the state of the art LLM models, fine-tune them, develop agents, apply various clusterings, summarizations, embeddings, and so on. Ev
Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the Role: Join our Infrastructure Engineering team and help ensure the reliability, scalability, and performance of Replit's infrastructure that serves millions of developers worldwide. As a Staff Infrastructure Engineer, you will bridge the gap between development and operations, implementing automation and establishing best practices that enable our platform to scale efficiently while maintaining high availability. We are seeking Staff Infrastructure Engineers who are passionate about building and maintaining resilient systems at scale. Your mission will be to proactively find and analyze reliability problems across our stack, then design and implement software and systems to create step-function improvements. You will design robust monitoring solutions, automate operational tasks, and continuously improve our infrastructure's reliability, all while mentoring and educating the broader engineering team to make reliability a core value at Replit. You Will: Drive Automation and Infrastructure as Code: Architect, build, and improve automation to eliminate toil and operational work. Design and maintain CI/CD pipelines and infrastructure automation using tools like Terraform or Pulumi. Create self-healing systems that can automatically respond to common failure scenarios. Optimize Performance and Infrastructure: Collaborate with core infrastructure and product teams to performance tune and optimize our cloud deployments (Kubernetes, Docker, GCP). Identify and resolve performance bottlenecks, implement capacity planning strategies, and reduce latency across global regions. Elevate Developer Experience: Design and implement improvements to our build, test, and deployment systems to make software delivery faster, safer,
The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. About the Team The Developer Platforms organization provides cloud infrastructure and tooling to 100+ teams and 750+ engineers in NYT Product Engineering through an internal developer platform. The DevEx Platforms team (6 engineers) focuses on developer experience and workflow automation. We’re now expanding into more AI-assisted developer workflows using tools like Claude Code, Cursor, and Copilot to support debugging, migrations, test generation, and everyday development in a safe, measurable way. This role sits in Developer Platforms and reports to the Engineering Manager of the DevEx Platforms team . About the Role As a Senior Software Engineer on DevEx Platforms, you’ll build GenAI-augmented developer experiences and platform capabilities used across all of The New York Times. Your work will help teams ship faster and more safely, pay down technical debt through structured migrations and platform modernization, and turn effective internal practices into reusable tools and agents. What You’ll Do Design and build GenAI-powered developer tooling : prompts, IDE integrations, Cursor/Claude rules, and telemetry to understand how they’re used. Build and run the GenAI developer platform : Tools, services, and integrations leveraging LiteLLM to power both local and background/long-running agents, providing auth, configuration, and LLM routing. Own guardrail
Req ID: SLSQ227R500 About the Role: We are seeking a technically savvy, visionary leader that can partner with the SVP of Field Engineering (also a co-founder) and the broader leadership team of a 3,000-person global organization within Databricks. This is a rare opportunity to shape the future of a rapidly growing technology company by defining and executing strategies that drive scale, productivity, and technical excellence. This role is focused on several strategic outcomes critical for the future growth of Databricks: Shaping and driving the future of FE, Ensuring product execution at scale, Driving effective Delivery and Enablement execution, and being a company-first leader that can bridge across GTM and Product In this role, you will also help drive a high-performing, AI-driven builder culture, identifying ways to leverage AI, automation, and tooling to increase efficiency, improve decision-making, and enable teams to focus on the highest-impact work. This is a high-visibility, high-impact role for someone who thrives at the intersection of strategy, execution, and technical leadership. Successful Outcomes : Strategic Business partner to our SVP, FE to shape the future of this function OKRs/Metrics: Put in place OKRs, and metrics to measure performance Strategic Planning & Execution: Partner with the SVP and leadership team to set long-term organizational strategy, drive critical initiatives, and ensure cross-functional alignment. Future Operating Models: Define, design, and test innovative operating models for the organization, deciding where to centralize, where to push accountability to BUs, and which initiatives to pilot Ensure GTM Product Execution at scale Provide key inputs on product planning, product target setting, and product resources to the central GTM planning team Run the the inspection cadence and work across Product, Sales, Operations, FE teams to quickly resolve issues (e.g, pipeline, product gaps)&nbs
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. GTM Engineer - ABM, Advertising and Growth Marketing We're searching for a high-impact, results-driven individual to join our team as a GTM Systems Engineer, focused on revolutionizing our ABM, Paid Media/Advertising, and growth marketing motions. This is a critical role that will leverage AI, CDP, and automation platforms to build the scalable technical backbone powering real-time audience activation, paid media operations, and personalized campaign delivery across hundreds of thousands of accounts. You'll partner closely with Marketing and Data teams to translate strategic vision into high-performing, measurable systems. WHAT YOU'LL DO: Streamline and optimize digital marketing, ABM, and growth marketing processes, including advertising campaign creation, audience segmentation, and offline workflows that enable boutique customer touchpoints at scale. Serve as the primary technical partner to the internal Paid Media & ABM team, co-developing the innovation roadmap, fast-tracking automation priorities, and translating their strategic needs into production-ready AI solutions. Partner with cross-functional, global Marketing teams and Data and Analytics to identify and scope opportunities for AI-driven solutions and technology adoption across teams. Integrate AI APIs, MCP
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. Staff Software Engineer - Container Platform (Menlo Park) About the Role We build the foundational container platform that runs Snowflake's production, AI/ML, and CI workloads across AWS, Azure, and GCP, including a rapidly growing AI/ML footprint. Hundreds of large Kubernetes clusters under management and growing. The work is to make that fleet reliable, automated, and invisible to the thousands of engineers building on top of it. This is a staff-level role on a senior, high-performing platform team. You'll own hard problems end to end, drive technical direction across teams, and build the automation and platform abstractions that make operating at this scale sustainable. There is significant unsolved work ahead: improving the developer experience for thousands of internal engineers and continuing to scale the platform to meet Snowflake's growth. What You'll Do Own the design and delivery of large, complex platform initiatives spanning cluster lifecycle management, multi-cloud automation, and internal developer tooling. Identify and drive cross-team technical improvements across the platform, from architecture through adoption. Make and defend architectural trade-offs grounded in reliability, scalability, and operational reality. Act as a technical anchor for the team, dev
Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. As a Senior Manager, Strategy Lead (Quality Systems) at Micron Technology, Inc., you will report to the Smart Manufacturing and Artificial Intelligence organization, focusing in Micron Assembly and Test areas. The team defines, drives, and delivers end-to-end smart manufacturing solutions, integrated across business functions. The team investigates the application of industry-leading methodologies in automation, AI, and machine learning to enhance Micron’s product development, business, and administrative processes across the company. Responsibilities and Tasks Establish Strong partnership with Global Stakeholders to identify significant and breakthrough business transformation opportunities using AI Translate expected project metrics gains into dollar values, partnering with Finance. Lead the analysis of complex business problems and issues using data from internal and external sources to provide insights to decision-makers. Identify and interpret trends and patterns in datasets to locate influences. Construct forecasts, recommendations, and strategic/tactical plans based on business data and market knowledge. Create specifications for reports and analyses based on business needs and required or available data elements. Provide con
Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. About the Role: Join our Product Engineering team to develop AI and Machine Learning solutions that transform semiconductor workflows. This role focuses on model development and agentic AI applications, enabling smarter testing, faster yield advancement, and engineering automation to improve cost, cycle time, and quality. This is a ground-breaking opportunity to work on modern technologies and make a significant impact in a world-class company! You will also train and guide Citizen Data Scientists (CDS or equivalent experience) within Product Engineering, helping them apply advanced ML techniques and analytics tools to gain domain-specific insights. Key Responsibilities: Machine Learning Development: Build predictive models for yield, test time, and reliability analysis using structured/tabular data Use advanced machine learning techniques to analyze complex datasets and generate actionable insights that improve manufacturing and operational performance Build and validate ML workflows for large-scale semiconductor datasets Agentic AI Solutions: Develop intelligent agents to automate engineering tasks (e.g., test program validation, yield analysis, report generation) Integra
About the Team We’re hiring software engineers to make OpenAI’s networking teams more productive. These teams build and operate the high-performance networking systems that support OpenAI’s training and inference infrastructure at frontier scale. About the Role We’re looking for someone who cares deeply about the developer experience of engineers working on complex infrastructure systems — especially around build systems, test architecture, release pipelines, and reliable development workflows. This role will be embedded with OpenAI’s networking team: making it faster, safer, and easier for engineers to build, test, validate, and ship changes across multi-server, networked, and hardware-adjacent environments. In this role you will: Improve development workflows for engineers building and operating OpenAI’s networking systems Design and improve continuous deployment, release, and validation pipelines Build and maintain test harnesses for multi-server, networked, and hardware-backed environments Improve iteration speed across C++, Python, and build-system-heavy codebases Partner with engineers to identify friction in CI, testing, debugging, and deployment workflows Drive testing and reliability strategy for infrastructure components that support large-scale training and inference workloads Work closely with centralized developer experience teams while staying deeply embedded with the networking engineers closest to the systems You might thrive in this role if: You are motivated by helping other engineers move faster and with more confidence You have experience with CI/CD, release pipelines, testing infrastructure, or build systems You are comfortable moving between C++, Python, and build systems such as CMake, Bazel, or Blaze You enjoy building test harnesses, automation, and workflow improvements for complex systems You do not need to be a networking expert, but you are excited to learn enough about the domain to make the team meaningfully more effective When you see
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Our core philosophy is to empower developers to self-serve rather than be bottlenecked by a central quality team. We believe that by creating smart, automated tooling, we can eliminate common roadblocks, making developers happier and more productive. The Rider Quality team is focused on elevating quality, testing, and accessibility across our mobile platforms. We are currently shifting our strategy to heavily leverage automation and AI to revolutionize how we approach testing. We're not doing traditional QA - we're building the future of quality engineering. This is a chance to step into a Senior role where you won't just write code; you'll design systems that define how hundreds of engineers deliver product faster, happier, and with fewer bugs. We are fundamentally shifting away from manual processes and existing automation frameworks that struggle to keep up, betting heavily on Artificial Intelligence and agentic frameworks to drive a massive "shift left" in our organization. Success in this role is measured by tangible impact, including increased developer satisfaction, engineering hours saved, and bugs/incidents avoided in production. We are seeking a highly skilled and innovative Senior Software Engineer to join our team. You will be instrumental in building the next generation of our quality assurance platform. You will be responsible for designing and developing advanced AI-powered tooling for test case generation, review, and execution. Your work will directly impact our ability to provide fast, actionable feedback to developers, "shifting left" to ensure quality from the earliest stages of development. You will play a key role in integrating these tools into our existing developer workflows, ensuring seamless adoption and maximum impact. We are looking for someone with a strong background in
Come build what the market has been missing. Octaura is a technology company transforming how some of the world’s largest, least digitized markets operate. In loans and CLOs, trillions of dollars still move through phones, emails, and PDFs because the right infrastructure hasn’t existed — until now. We’re applying AI, real-time data, and modern software design to asset classes long overlooked by fintech. Our platforms turn fragmented information into intelligence, manual workflows into automation, and legacy conventions into scalable market infrastructure. You’ll join a high-impact, collaborative team building the systems these markets need to become more transparent, efficient, and connected. The role in a nutshell The Platform Support Engineer will join Octaura’s Platform Support team to maintain and support the CLO and Loans trading system and other internal applications. They are responsible for ensuring the high levels of availability of the production, demonstration and test systems. They will work in a high-pressure mission critical production environment. The candidate will play a key role in the resolution of any problems in the system in a timely and professional manner. To be successful in this role, the Platform Support Engineer is expected to proactively learn and understand Octaura’s business needs, and develop or implement solutions to meet those needs. To that end, the Platform Support Engineer is expected to demonstrate a proven ability to problem-solve and multi-task. Flexibility is a must, as the schedule may include occasional late night or weekend duties. This is an exciting time for Octaura as we are rapidly growing and are looking for energetic, collaborative and driven thinkers to join us! Please note this role is based out of our NYC office and our current structure is 4 days (Mon-Thurs) in the office, 1 day from home. Desired experience Bachelor’s degree or equivalent w
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