Infrastructure Security Engineer in United States

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: The Total Rewards Compensation team serves as a strategic advisor to business leaders, managers, and employees across Airbnb. We are compensation experts with a deep understanding of our stakeholders, problem solvers who use data and insights to drive value, and partners who build the tools, models, and frameworks that support sound compensation decision-making across the company. This role sits within the Compensation function and will work closely with the Technology organization and cross-functional partners including Talent Directors, Recruiting, People Analytics, Finance, and Legal. The Difference You Will Make: We are looking for a Senior Compensation Partner to own Airbnb's compensation strategy for the Technology organization, covering functions such as Engineering, Infrastructure, ML/AI and Data Science. You will be the primary Total Rewards advisor to Technology leadership and the compensation point of contact for Talent Directors and Recruiting, defining how Airbnb competes for AI, ML, and frontier engineering talent. Working alongside our regional Total Rewards Partners, you will hold a global view of how we pay technical talent across all markets. Beyond your client group, you will contribute to the design and strategy of complex global programs, lead core Total Rewards priorities, and build the models and tools the broader Compensation team relies on. You are equally credible advising our most senior technical leaders and in the data behind the recommendation. A Typical Day: Serve as the senior compensation advisor to Technology leadership across func

About the Team OpenAI develops models that can reason through complex problems and hardware designed for the demands of advanced AI. AI for Chips connects these efforts: applying increasingly capable AI systems to the work of semiconductor engineering. Our goal is to help engineers develop better chips and shorten design cycles. This work brings research, model training, and hardware expertise together to build tools that engineers can use on real designs, with correctness and measurable performance at the center. About the Role We’re hiring a Research Engineer to help OpenAI models solve chip-design problems through reinforcement learning, tool use, and evaluation. You’ll own experiments from the initial idea through implementation and analysis. That means building environments and evaluations, running training, investigating failures, and using the results to decide what to try next. You’ll also build the software needed to make those experiments reliable and reproducible. We value strong coding fundamentals, careful experimental judgment, and the ability to make progress independently. Prior chip-design experience is helpful, but you can learn the domain alongside the team’s hardware specialists. In this role, you will: Build RL environments and evaluations for tasks such as RTL generation, design verification, and physical design optimization. Develop and test approaches that help models use chip-design tools and improve power, performance, and area while preserving correctness. Design experiments, establish baselines, and measure whether improvements hold up on new tasks and designs. Investigate failures across model behavior, rewards, evaluation tools, and experiment infrastructure. Improve iteration speed through better tooling, faster evaluations, and proxy rewards that reflect the outcomes we care about. Turn successful experiments into reusable research code and training workflows, working closely with researchers and engineers. You might thrive in this ro

We're looking for a Senior Operations Director for Revenue & Services who will serve as a trusted advisor to the Chief Commercial Officer, Professional Services leadership and other senior leaders. This role will shape how Professional Services operates, scales, forecasts, and performs, while driving alignment across Operations, Revenue, Sales and Finance. This role will connect services to broader business strategy, with a focus on cross-functional alignment, profitable growth and corporate results. WHAT YOU’LL DO: Shape and evolve the operating model for Revenue and Services, includingProfessional Services to enable scalable, predictable and profitable growth: forecasting methodology, capacity planning, utilization and margin management, and delivery-to-revenue alignment Set the strategic roadmap for services operations and operating infrastructure, including systems architecture (resource management, CRM integration, financial systems, data and reporting) and where to invest next Act as the strategic partner to Professional Services leaders translating business strategy and operating plans into performance targets. Represent services performance directly to executive leadership and the board Partner with President, Chief Commercial Officer, Finance leaders to evaluate profitable and growth opportunities, operating leverage, organizational capabilities, technologies and external partnerships. Lead deal desk strategy for services and deal governance, including pricing frameworks, SOW structuring, and margin guardrails, in partnership with Sales and Legal Partner in quarterly and annual planning for services capacity and revenue targets, and defend the plan directly to Finance and executive leadership Establish and drive a consistent operating cadence and process framework, including KPIs, business reviews, planning, forecasting, and reporting across the full customer lifecycle, identifying where PS operations should own versus influence

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: We're hiring a Product Partnerships Manager to own Replit's most important strategic partnerships end-to-end: from identifying the opportunity to shipping the outcome and measuring the impact. This is a product-focused role where you will work with our consumer technology partners, such as Stripe, Shopify, Google, and the broader connector ecosystem. You'll work at the intersection of product strategy, ecosystem thinking, and deal execution. You'll need to be a serious Replit power user. You'll speak credibly with engineers. You'll negotiate with senior partner stakeholders. And you'll be the person accountable for turning ambiguous ecosystem opportunities into shipped product and business outcomes. What You'll Do Develop a clear point of view on Replit's partner landscape and build a prioritized pipeline of high-leverage opportunities across consumer tooling, AI tooling, cloud and infrastructure, and payments technology partners. Lead partner conversations from early exploration through joint product thesis, business case, commercial terms, launch plan, and post-launch iteration. Partner with Product, Engineering, Partner Engineering, Legal, Finance, Marketing, and Sales to turn agreements into shipped outcomes. Work directly with Partner Engineers to scope integrations, demos, prototypes, reference apps, and partner enablement assets. Define success metrics before every launch activation: retained usage, apps created, deployments, revenue, partner-sourced users, and use them to decide when to scale, iterate, or sunset a partnership. Build lightweight operating systems: partner scorecards, launch checklists, partner roadmap tracking, and repeatable frameworks for evaluating new opportunities. Represent

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About this role At Sentry, Finance plays a critical role in helping the company understand where we are, where we're going, and how to make better decisions along the way. We are looking for a Director of FP&A to build and own the core financial planning and operating rhythms for the company. You will lead company-wide forecasting and planning, management and Board reporting, headcount planning, and FP&A's partnership with Accounting during the close. You will also be a senior business partner to leaders across Sentry, helping translate company strategy into financial plans and operating decisions. This is a hands-on leadership role. Many of the processes you will own are being rebuilt, so we're looking for someone who has designed great FP&A processes—not just inherited and operated them. You'll be expected to get into the details, build where necessary, and quickly develop enough context and trust to run your areas with a high degree of independence. You will report to the VP of Finance & Strategy and manage an FP&A Manager focused on company spend, including cloud and AI infrastructure costs. In this role you will Own Sentry's company-wide forecasting, annual planning, and long-range planning processes, including the consolidated financial model and corporate roll-up. Build a clear and repeatable operating cadence around forecasts, budget-to-actual performance, variance analysis, and communication of financial results. Partner closely with Accounting during the monthly and quarterly close, providing accrual inputs, budget-to-actual analysis, and variance explanations while Accounting retains ownership

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 Replit's key teams across the company, such as AI Research, Strategic Finance, or the Office of the CEO, for a unique paid internship built for sharp quantitative and creative minds. You will work alongside our top executives, in addition to world-class engineers, designers, and finance team on some of the hardest problems in AI-native software creation and accelerating key areas of our business. We are creating a dedicated track for students with strong mathematical backgrounds because the problems we are solving sit at the intersection of deep math and applied AI, including agent reasoning, systems optimization, and improving how our models learn and perform at scale. Your work will directly shape how millions of users build software. You Will: Contribute to real engineering problems that push the boundaries of AI-powered software creation Collaborate with engineers, designers, and product managers on infrastructure that powers Replit's platform Prototype novel approaches to problems in AI, systems, or tooling where mathematical rigor is the differentiator Ship work that impacts millions of developers globally, in an environment where your ideas are heard and often implemented Required Skills and Experience: Currently pursuing a Bachelor's, Master's, or PhD in Mathematics, Computer Science, Computer Engineering, Statistics, Physics, or a related quantitative field At least one semester of schooling remaining after the internship Demonstrated excellence in competitive mathematics such as IMO and IOI, quantitative research, or advanced coursework Genuine curiosity about AI, agent systems, company building, or developer tooling Extremely bullish on Replit and the future of AI-native software creation

Coordination Systems provides foundational distributed systems building blocks for internal Datadog platforms. Our services cover sharding, consensus, resource protection, configuration distribution, and much more. We are looking for a manager to lead the Coordination Systems - Storage team. This team provides essential configuration storage and distribution systems that are depended upon by almost every service and pod at Datadog. We power critical runtime configuration (e.g. feature flags), complex control planes (e.g. dynamic sharding configuration), and much more. Storage is one of four subteams within Coordination Systems. If successful, the candidate will have opportunities to lead other growing and impactful areas such as Resource Protection. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: (Describe role responsibilities here/max 6 bullets) Lead a core team of 5 engineers (distributed, with majority in NYC) Lead ceremonies, prioritize and delegate project Stay hands-on with the code, e.g. isolated features, small remediations, investigation follow ups Stay actively involved in operations, incidents, root cause analysis, etc. Constantly promote a culture of operational excellence, organizing gamedays, conducting operational reviews, staying proactive with reliability Who You Are: (Describe role qualifications here/max 6 bullets) Strong distributed systems skills, able to understand and account for a variety of failure modes, well-versed in end-to-end o11y, validation testing, simulation setup, etc. Worked on platform teams before, providing critical infrastructure to internal stakeholders Experienced in handling significant incidents, both as a responder and follow-up ow

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. With a billion rides per year and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creative solutions in Rider, Driver, Marketplace, and beyond. While traditional approaches to optimization and problem decomposition are sufficient to disrupt transportation, building a next-generation platform for low-cost, ultra-immersive transportation to improve people's lives warrants modern ML utilizing petabyte-scale data. Our highly motivated Machine Learning Engineers work on these challenging problems and define solutions to directly impact various aspects of our core business. The Fulfillment group, within the Marketplace at Lyft, is responsible for determining what inventory can be reliably offered for a given rider session and fulfilling rider requests. The group comprises several sub-teams that generate feasible offers for riders, match rider requests with drivers, and maintain a distributed state machine to track rides and drivers from request through completion. We are seeking a Machine Learning Engineer to join the Fulfillment team and lead the design, development, and deployment of state-of-the-art machine learning systems. This role requires a strategic thinker who can balance high-level system architecture with hands-on technical implementation. You will collaborate across teams to shape the future of ride-sharing by leveraging machine learning and data science. Responsibilities: Design, build, and deploy machine learning models for real-time applications, including translating state-of-the-art research into production-ready solutions Design and implement feature pipelines, model training workflows, and serving infrastructure using Lyft's ML platform Evaluate ML system performance against business KPIs, run experiments, and drive continuous model improvement

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . We’re looking for a principal software engineer to lead the next generation of data infrastructure at Pinterest which powers mission critical big data and AI applications. You’ll be working on some of the most exciting big data and AI open source technologies (Flink, Spark, Kubernetes, etc.), at the scale of exabytes of data to help Pinners discover and do what they love. What you’ll do: Lead the strategy and technical direction of Pinterest’s data infrastructure for big data and AI applications Build and scale data infra frameworks and infrastructure to process petabytes-scale datasets, including compute engines, job management, resource management, scheduling and remote shuffling Work with internal customers on critical business use cases that rely on big data Provide thought leadership to the entire company on how data should be

About the Team The Search research team focuses on building the systems that help AI systems find, retrieve, and use information from the world. We aim to make answers more useful and grounded for more than a billion ChatGPT users. About the Role We’re looking for a Technical Program Manager to lead a broad portfolio of research and engineering programs that power search. You’ll partner closely with researchers, engineers, and product leaders to turn ambitious goals into clear plans, resolve dependencies, and move complex technical work forward. This role combines technical depth, product judgment, and hands-on execution. You’ll work across retrieval, indexing, and model improvements, while collaborating with policy, legal, and external data partners. You’ll help teams make informed tradeoffs and build practical ways of working that support a fast-moving research environment. This role is based in San Francisco, CA. In this role, you will: Lead programs across model training, retrieval, large-scale indexing, and search infrastructure. Translate evolving goals into prioritized workstreams with clear owners, milestones, dependencies, and resource needs. Partner with research, engineering, and product leads to define requirements and make tradeoffs across scope, quality, performance, timelines, and cost. Establish program success metrics and use them to guide priorities and track improvements in coverage, answer quality, responsiveness, and trust. Identify technical and cross-functional risks early, drive blockers to resolution, and communicate progress and decisions clearly to teams and leadership. Coordinate with product, policy, legal, and external partners on data access, use, and presentation, helping teams resolve decisions that span technical and non-technical domains. Manage dependencies with data providers and build repeatable processes that help research and engineering teams execute effectively as the search effort grows. You might thrive in this role if you

About the Team The Interpretability team studies internal representations of deep learning models. We are interested in using representations to understand model behavior, and in engineering models to have more understandable representations. We are particularly interested in applying our understanding to ensure the alignment of powerful AI systems. Our working style is collaborative and curiosity-driven. About the Role OpenAI is seeking a researcher passionate about understanding deep networks, with a strong background in engineering, quantitative reasoning, and the research process. You will develop and carry out a research plan in mechanistic interpretability, in close collaboration with a highly motivated team. You will play a critical role in helping OpenAI ensure future models remain safe even as they grow in capability. This will make a significant impact on our goal of building and deploying safe AGI. In this role, you will: Develop and publish research on techniques for understanding representations of deep networks. Engineer infrastructure for studying model internals at scale. Collaborate across teams to work on projects that OpenAI is uniquely suited to pursue. Guide research directions toward demonstrable usefulness and/or long-term scalability. You might thrive in this role if you: Are excited about OpenAI’s mission of ensuring AGI benefits all of humanity, and are aligned with OpenAI’s charter . Show enthusiasm for long-term AI safety & alignment, and have thought deeply about technical paths to safe AGI. Bring experience in the field of AI safety & alignment, mechanistic interpretability, or spiritually related disciplines. Hold a Ph.D. or have research experience in computer science, machine learning, or a related field. Thrive in environments involving large-scale AI systems, and are excited to make use of OpenAI’s unique resources in this area. Possess 2+ years of research engineering experience and proficiency in Python or similar languag

About the Team Like every team at OpenAI, the Marketing team contributes to our broader mission of ensuring that artificial intelligence benefits all of humanity. We develop and execute strategies that build understanding of OpenAI, deepen engagement with our key audiences, and communicate why we build, how our technology is creating value, and how we approach its broader societal impact. We work closely with Global Affairs, Communications, Creative, Research, Product, and other teams to translate complex topics into clear, relevant, and compelling stories. Our work spans national campaigns and locally tailored efforts, helping people understand both the opportunities created by AI and the important issues surrounding its development and adoption. About the Role We are seeking an experienced Integrated Marketing Lead to lead policy- and reputation-focused campaigns that strengthen the OpenAI brand nationally and within local communities. This person will spearhead integrated campaigns and corporate communications initiatives that help people understand why OpenAI builds, the impact of our technology, and how we are engaging with some of the most consequential issues surrounding AI—including infrastructure and data centers, jobs and economic opportunity, and youth safety. The role combines national paid media with locally relevant marketing and engagement efforts. The ideal candidate understands policy, public affairs, and civic audiences while also being a sophisticated brand marketer who can make complex subjects accessible and meaningful to a broader public. This person will bring strategic vision, sound judgment, organizational clarity, and exceptional execution to highly visible work. They will collaborate closely with Global Affairs, Communications, Creative, Research, and external agency partners to build trust and shape understanding of OpenAI at both the national and local levels. In this role, you will: Lead policy and brand campaign strategy: Develop integ

About the Team OpenAI’s People team hires, engages, and retains world-class talent to safely build and deploy AGI that benefits all of humanity. The People Analytics team helps leaders make rigorous, evidence-based talent decisions and ensures that the systems supporting those decisions are valid, reliable, fair, and accountable. About the Role As a People Data Scientist focused on AI fairness and bias testing, you will help establish how OpenAI evaluates AI-assisted People systems and high-impact talent processes. You will design and conduct rigorous assessments to identify, measure, and mitigate potential bias across the lifecycle of models, agents, decision-support tools, and automated workflows. Your work will span the entire employee life-cycle, such as hiring, performance, promotion, employee development, workforce planning, etc. You will evaluate both technical systems and the broader human-AI decision processes in which they operate, examining not only model performance but also data quality, measurement validity, differential outcomes, human oversight, and unintended consequences. We’re looking for an experienced data scientist or applied researcher who can translate complex fairness questions into defensible evaluation strategies, scalable testing infrastructure, and clear recommendations for technical teams and senior leaders. This role is preferred to be based in San Francisco, CA. In this role, you will: Define and lead fairness and bias-testing strategies for AI-assisted People processes, models, agents, and decision-support systems from development through deployment and ongoing monitoring. Design rigorous algorithmic audits and validation studies, including adverse-impact analysis, subgroup and intersectional evaluation, error-rate analysis, calibration, measurement invariance, reliability, criterion-related validity, and sensitivity testing. Identify the appropriate fairness criteria for each use case, evaluate tradeoffs among competing definitions

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. Where Data Does More. Join the Snowflake team. Join our ML Feature Store team where we're building cutting-edge product capabilities that power complex feature transformations and low latency feature serving. We're revolutionizing machine learning feature management and serving capabilities as part of the Snowflake ML suite of products. In the era of GenAI and agents, our team delivers high-quality, fresh feature solutions that make a real difference for our customers. IN THIS ROLE AT SNOWFLAKE, YOU WILL: Help define and own the roadmap for Snowflake Feature Store, working collaboratively with senior architects and ML team leadership Build and execute a vision for incorporating new advances in machine learning Ensure operational excellence of services and meet reliability, availability, and performance commitments Collaborate across ML partner teams to improve development velocity and capabilities Support team members in delivering high technical quality WE WOULD LOVE TO HEAR FROM YOU IF YOU HAVE: 10+ years of experience in designing and building data serving infrastructure and/or machine learning platforms. Strong track record working with machine learning systems and platforms. Strong understanding of computer science fundamentals. B.Sc . in Computer Science Fluency in Ja

Location Details: At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands. GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC. Join Our Team At GoDaddy, we're building the future of AI at scale. The GenAI team powers the platform, tools, and services that enable generative AI innovation across the company, from intelligent routing and AI spend optimization to the next generation of AI-powered products and experiences. As part of our team, you'll help empower engineers, product teams, and business partners to securely build, deploy, and scale AI solutions that drive real customer and business impact. Our platform supports 100+ large language models across leading providers including OpenAI, Anthropic, Google, and AWS, delivering 99.99% uptime and enabling thousands of employees across dozens of teams to innovate with confidence. If you're excited about solving complex technical challenges, shaping the future of AI infrastructure, and building platforms that amplify the impact of an entire organization, we'd love to hear from you. What you'll get to do... Design, develop, and maintain high-quality software solutions using JavaScript and Python, supported by comprehensive unit and integration testing Collaborate across the full software development lifecycle, including planning, architecture, implementation, deployment, and ongoing maintenance of both client-side and server-side applications Drive engineering excellence through thoughtful code revie