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A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Forward Deployed Engineer, Internship Forward Deployed Engineering is a radical commitment to the outcome. This is Palantir’s operating ethos. We pioneered this unique position, embedding engineers directly with our customers to tackle their most pressing challenges head-on. As an FDE, you’ll be at the intersection of world-changing problems and impactful technology, shaping solutions where they matter most. From hospital beds to factory floors, Forward Deployed Engineers (FDEs) embed themselves in the customer’s reality until the problem is theirs. This requires walking many miles in a customer’s shoes, building past the perimeter of what the product currently offers, and deviating from every pre-existing formula to solve the problem. Whether that problem is “How do we predict and mitigate wildfire risks across a power grid?” or “How can we analyze and adapt a global supply chain to deliver critical parts on time?” You’ll use your technical expertise, creativity, and problem-solving skills to drive real-world impact. Core Responsibilities To solve mission-critical problems by deploying software and AI into the high stakes operations of the world’s leading institutions. This requires a ruthless commitment to truth-seeking and prioritizing real outcomes. The work is difficult. The stakes are real. You will work in small, high-trust teams and own projects end-to-end, from the first conversation with a customer, to shipping the product that changes how they operate. You will embed with the customer, the chaos, and the consequences, and will be entrusted with real ownership to: Collaborate with engineers to make architecture and design decisions Wrestle with

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role The Forward Deployed Software Engineer Internship Forward Deployed Engineering is a radical commitment to the outcome. This is Palantir’s operating ethos. We pioneered this unique position, embedding engineers directly with our customers to tackle their most pressing challenges head-on. As an FDE, you’ll be at the intersection of world-changing problems and impactful technology, shaping solutions where they matter most. From hospital beds to factory floors, Forward Deployed Engineers (FDEs) embed themselves in the customer’s reality until the problem is theirs. This requires walking many miles in a customer’s shoes, building past the perimeter of what the product currently offers, and deviating from every pre-existing formula to solve the problem. Whether that problem is “How do we predict and mitigate wildfire risks across a power grid?” or “How can we analyze and adapt a global supply chain to deliver critical parts on time?”, you’ll use your technical expertise, creativity, and problem-solving skills to drive real-world impact. Core Responsibilities To solve mission-critical problems by deploying software and AI into the high stakes operations of the world’s leading institutions. This requires a ruthless commitment to truth-seeking and prioritizing real outcomes. The work is difficult. The stakes are real. You will work in small, high-trust teams and own projects end-to-end, from the first conversation with a customer, to shipping the product that changes how they operate. You will embed with the customer, the chaos, and the consequences, and will be entrusted with real ownership to: Collaborate with engineers to make architecture and design

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Forward Deployed Engineer, New Grad Forward Deployed Engineering is a radical commitment to the outcome. This is Palantir’s operating ethos. We pioneered this unique position, embedding engineers directly with our customers to tackle their most pressing challenges head-on. As an FDE, you’ll be at the intersection of world-changing problems and impactful technology, shaping solutions where they matter most. From hospital beds to factory floors, Forward Deployed Engineers (FDEs) embed themselves in the customer’s reality until the problem is theirs. This requires walking many miles in a customer’s shoes, building past the perimeter of what the product currently offers, and deviating from every pre-existing formula to solve the problem. Whether that problem is “How do we predict and mitigate wildfire risks across a power grid?” or “How can we analyze and adapt a global supply chain to deliver critical parts on time?” You’ll use your technical expertise, creativity, and problem-solving skills to drive real-world impact. Core Responsibilities To solve mission-critical problems by deploying software and AI into the high stakes operations of the world’s leading institutions. This requires a ruthless commitment to truth-seeking and prioritizing real outcomes. The work is difficult. The stakes are real. You will work in small, high-trust teams and own projects end-to-end, from the first conversation with a customer, to shipping the product that changes how they operate. You will embed with the customer, the chaos, and the consequences, and will be entrusted with real ownership to: Collaborate with engineers to make architecture and design decisions Wrestle with dat

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role We’re looking for Forward Deployed Site Reliability Engineers who can help us build, operate, and maintain high-performance, scalable, and reliable services for our production infrastructure, primarily across on-prem environments for the US Government. Forward Deployed Site Reliability Engineers combine engineering experience and an innate drive to improve existing systems and processes, with the creativity to develop novel solutions to evolving challenges. Our team strives to automate processes wherever possible, using whichever tools are best for the job. You’ll travel to various locations where you will be the expert for Palantir’s infrastructure, helping partner teams build & configure their hardware and network for software to operate reliably within. We strongly believe in engineering teams being responsible for the operations of their services in production. In this role, you’ll work closely with engineers to advocate and participate in sensible, scalable, systems design and share responsibility with them in diagnosing, resolving, and preventing production issues.

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. Join Our Team GoDaddy's Global Storage Engineering team operates one of the largest Ceph environments in the world, delivering the object, block, and file storage platforms that power GoDaddy's hosting infrastructure, internal services, OpenStack environments, and next-generation AI/HPC workloads. If you're passionate about distributed systems, storage architecture, and solving failure scenarios at massive scale, this is an opportunity to work on infrastructure few engineers will experience in their careers. Ceph is a strategic platform at GoDaddy — not an ancillary service. Our global footprint includes 80+ production clusters, 20,000+ OSDs, 1,830 storage nodes, 300 PB of raw capacity, and 69 billion objects spanning five datacenters across three continents. The platform supports RBD, RGW (S3/Swift), and CephFS workloads through more than 1,550 pools, 574,000 placement groups, and 900+ MDS daemons, creating engineering challenges that demand deep expertise in storage architecture, data durability, performance optimization, automation, and observability. As a Lead Senior Site Reliability Engineer, you'll serve as one of the principal technical leaders for GoDaddy's Ceph platform. You'll design the next generation of storage clusters, lead major platform upgrades, drive capacity and hardware strategy, and establish the standards that govern how the platform scales. You'll be the engineer the team turns to for the most complex s

Location Details: BC or ON - Canada, Remote 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. Join Our Team Join GoDaddy, where your work will directly influence how our engineers craft and build, and how millions of entrepreneurs utilise our products. Our role sits at the intersection of AI, platform engineering, and user-centred design, enabling a rare opportunity to improve both internal developer efficiency and the customer experience. If you have a proven track record of building high-leverage platforms, delivering exceptional user experiences, and can push the boundaries in advancing the possibilities of AI-assisted efficiency, we encourage you to apply. What you'll get to do... Own GoDaddy’s developer experience strategy, driving AI efficiency, automation, and reduced cycle time Champion modern, agentic workflows, using copilots, autonomous agents, intelligent CI/CD, and automated testing Build the evolution of developer platforms including local development, CI/CD, testing frameworks, and observability. Identify and eliminate friction across the end-to-end engineering lifecycle Establish metrics and dashboards for engineering velocity, efficiency, and developer fulfilment Drive and own our enterprise UX Platform vision, including design systems, component libraries, pattern governance, and accessibility standards Partner with Product, UX, and AI/ML to enable AI-powered and conversational UX patterns across GoDaddy product surfaces Ensure cross-product experience consistency across web, mobile, and emerging surfa

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. Remote: 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. Join our team Our Global Sustaining Engineering team sits at the intersection of software engineering and infrastructure, ensuring the services our customers depend on are fast, resilient, and always available. As a Senior Site Reliability Engineer, you'll take direct ownership of production services — from initial design through day-to-day operation — while partnering with product, engineering, and security teams to build and maintain business-critical systems. In this role, you will deepen your technical expertise and grow your leadership presence by mentoring the next generation of SREs. You will also gain hands-on experience with intelligent tooling in real-world workflows. What you'll get to do... Design, implement, and operate scalable, highly available production services while diagnosing and resolving complex infrastructure, network, and application issues Build and maintain alerting pipelines, dashboards, and SLO-driven monitoring strategies using Icinga, Prometheus, and Grafana Lead incident response end-to-end — performing root-cause analysis, authoring blameless post-mortems, and driving corrective actions to closure Develop and extend Infrastructure as Code coverage and build internal tooling that eliminates manual, repetitive operational work Mentor SRE I and SRE II engineers through code reviews, debugging sessions, and knowledge-sharing talks Apply LLM-driven log analysis, anomaly detection, and generative AI tools to accelerate incident response and runbook creation — validating all outputs before use Your experien

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your opportunity At New Relic, we provide our customers real-time insights so they can innovate faster. Our software delivers insightful observability tools across different technologies and distributed systems, enabling software engineering teams to quickly identify, understand, and tackle issues, analyze performance, and get the most out of their software and infrastructure. This is a unique opportunity to shape the future of observability while pioneering the next generation of engineering: we are actively revolutionizing how we build software by embedding modern, agent-powered workflows directly into our daily development lifecycle. You’ll tackle complex distributed systems problems while helping drive internal innovation on the frontlines of AI-assisted engineering. About the team This position is for the Service Architecture Intelligence team. You will be building, improving, and maintaining a distributed service architecture capable of ingesting large volumes of data, analyzing spans and traces, and publishing them downstream so the UI can offer an exceptional experience to our customers. We work with data at scale, and our pipeline is built with a diverse tech stack (Java, Kafka, Redis, public cloud services, and more). You will work alongside a team of talented engineers solving complex distributed systems challenges. If you're passionate about performance and scale, and want to contribute to one of the largest and fastest-growing observability platforms while co-crea

About Mixpanel Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com . About the Role Not a technical role, despite 'architect' in the title, this is relationship and strategy work, not engineering. Customer success, account management, or consulting backgrounds are a better fit than technical ones. The right candidate is a relationship-first advisor who thrives on connecting customers' Mixpanel investment to real business outcomes. You'll be the consultative owner of adoption, value, and AI maturity across a named portfolio of high-value accounts, engaged from onboarding through the full contract lifecycle. You are accountable for the outcome, not the commercial relationship owning the value case and the adoption plan behind it. You will build the executive relationships and strategic plans that make Mixpanel indispensable to how your customers build products. Responsibilities Connect mixpanel to customer value Own our value workstream with customers - understanding the business challenges that led them to buy Mixpanel, how they measure the ROI of their investment, and ensuring that they achieve that ROI by working across the customers’ teams and collaborating internally with other Mixpanel teams. Build and own relationships across business and technical stakeholders, including executive sponsors, aligning Mixpanel's capabilities to customers' highest-priority goals. Develop and execute success plans that map customer business objectives to adoption milestones and measurable outcomes. Perform ongoing discovery of the customer’s business priorities, internal toolset, and ongoing business pain – synthesize this information into actions that feed your success plans and share

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your opportunity At New Relic, we provide our customers real-time insights so they can innovate faster. Our software delivers insightful observability tools across different technologies and distributed systems, enabling software engineering teams to quickly identify, understand, and tackle issues, analyze performance, and get the most out of their software and infrastructure. This is a great opportunity to shape the future of observability, work on complex and interesting problems, and empower companies to thrive in an AI-first world. This position is for the Distributed Tracing Pipeline team. You will be building, improving, and maintaining a distributed service architecture capable of ingesting large volumes of data, analyzing spans and traces, and publishing them downstream so the UI can query this data to offer an exceptional experience to our customers. We work with data at scale, and our pipeline is built with a diverse tech stack (Kotlin, Java, Kafka, Redis, public cloud services, and more). You will work with a team of talented engineers, solving complex distributed system challenges and delivering solutions for our customers. If you're passionate about scale and want to contribute to one of the largest and fastest-growing observability platforms in the market, we want to hear from you. We are a fast-growing software company that cares about our product and culture. What you'll do Build, maintain, and scale backend services and their support tools Particip

#Team Nextdoor Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 350,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com . Meet Your Future Neighbors As Data Scientists at Nextdoor, you will have the opportunity to influence strategic decisions with product analytics, drive better experimentation and build online and offline ML solutions. We use a semi-embedded team structure, with data team members interfacing directly with product and engineering stakeholders. The Data Science group is made up of people from a diverse set of backgrounds and perspectives, trained in fields as wide-ranging as economics, psychology, geography, physics, statistics, and operations research. We are the mathematical decision scientists for the product development organization and play a proactive and collaborative role in building and improving the product. At Nextdoor, we operate in an AI-first environment and expect every team member to actively use AI tools as part of their workflow. We aren't looking for prompt engineers; we’re looking for people who use tools like Claude, Gemini, ChatGPT, and Glean to challenge their own thinking and take full ownership of AI-assisted outputs. We also offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experience for our valued employees. The hiring team will go over these expectations with you if you are being considered for a role near one of our offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London. The Impact You’ll Make As a Senior Data Scientist on the Search team, you will shape how neighbors find the people, places, posts, and business

Who We Are Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale, empowering a safer, richer, and more connected future. About the Team The Talent Acquisition team is composed of Sourcing, Recruiting and Coordination, and serves as a strategic partner to all of Nuro’s functions, encompassing engineering and autonomy, as well as operations and business. We combine data-driven insights with deep market expertise to ensure Nuro continues to attract and hire exceptional talent. Our recruiters and sourcers are builders at heart, partnering closely with leadership and hiring teams to deliver a candidate experience that reflects Nuro’s mission and values. About the Role We’re seeking a Head of Talent Acquisition to lead and scale Nuro’s recruiting and sourcing organization through our next phase of growth and commercialization. This role will oversee both the recruiting teams and the dedicated sourcing team responsible for hiring across Nuro, including the technology, engineering, business, and operations functions. You’ll partner closely with senior executives and functional VPs to design capacity-driven hiring plans, leverage data to guide staffing decisions, and ensure our recruiting teams have the strategy, systems, and infrastructure needed to execute with excellence. This leader will also drive key executive searches, serving as a hands-on partner to Nuro’s leadership team to attract world-class talent in AI, ML, autonomy, and robotics. About the Work Lead and scale Nuro’s recruiting and sourcing org

The Team + The Role The Product Design team at Pendo works closely with senior product leaders and sits at the center of product strategy and delivery. The team operates close to both the problem and the build, using LLM-assisted exploration, code-level prototyping, and customer validation before work moves into Figma for systems and polish. Designers ship across a multi-app platform with a high bar for craft, reliability, and product impact. As a Staff Product Designer, you will lead design across the platform and move toward the highest-impact work. You will own projects end-to-end, from problem framing through shipping, partnering with product and engineering to make sophisticated experiences feel simple. AI-assisted workflows are part of how this team works every day, and this role is expected to use, improve, and share those workflows. This role is based in our Raleigh office. What this looks like day-to-day Platform design leadership: Lead design across multiple product areas and own projects from problem framing through shipping. Partner with product and engineering to reduce complexity without losing capability, starting from customer need rather than feature requests. Prototyping and validation: Build interactive prototypes using code-adjacent tools and validate them with real users before engineering investment. Use findings to sharpen flows, surface edge cases, and improve the work before full systemization. AI-integrated workflow: Use AI tools actively across the design process, including LLMs for problem framing and brief development, Cursor and Claude for prototyping, and generative tools for faster interface exploration. Document and share prompts, patterns, and workflows with design and engineering partners. Design systems: Translate and evolve Pendo's design principles into reusable components and patterns. Identify when to extend existing systems and when to push them forward, then drive those decisions with stakeholders. Cross-functional alignment

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role We are looking for a Staff Cryptography Engineer to help lead SoFi’s enterprise readiness for post-quantum cryptography and long-term cryptographic resilience. This role sits within our Security Assurance organization and will partner closely with security, engineering, infrastructure, product, and business stakeholders to assess, modernize, and strengthen cryptographic controls across the enterprise. This is a highly cross-functional and strategic role. The ideal candidate brings deep applied cryptography expertise, strong engineering and architecture judgment, and the ability to drive complex security initiatives in ambiguous environments. You will help build SoFi’s cryptographic inventory, identify where cryptographic keys, protocols, algorithms, certificates, and libraries are used, and guide teams through the implementation of quantum-resistant and crypto-agile solutions. What you’ll do Lead efforts to assess and improve SoFi’s enterprise cryptographic posture, with a focus on post-quantum cryptography preparedness and crypto-agility. Build and maintain an inventory of cryptographic assets, including keys, certificates, algorithms, protocols, libraries, services, and business-critical systems. Partner with product, engineering, infrastructure, cloud, and security teams to identify cryptographi

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role SoFi is seeking a Fraud Model Developer to join our Fraud Model Development team. In this role, you will develop, evaluate, and monitor machine learning models that support data-driven fraud and risk decisions across SoFi’s products and services, including Personal Loans, Student Loans, Credit Cards, and Crypto. You will build quantitative and machine learning solutions designed to reduce fraud losses, minimize false positives, lower operational costs, and protect SoFi members. You will also analyze model and product performance, identify key drivers of fraud losses, and translate complex findings into actionable recommendations for business and risk partners. This role requires strong experience in machine learning, statistical modeling, data analysis, and model performance monitoring. You will work closely with Fraud Risk, Fraud Operations, Product, Engineering, Finance, Accounting, and other business teams to develop scalable fraud-modeling solutions and ensure model performance and loss trends are clearly communicated. What you’ll do Develop quantitative, statistical, and machine learning models that reduce fraud losses, minimize false positives, and lower operational expenses associated with fraud complaints and disputes. Aggregate, clean, and synthesize large datasets from multiple data envir