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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 The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations. Our engineers are extremely high leverage: we simultaneously drive multiple major revenue streams while optimizing one of Anthropic's most precious resources: compute. As we expand to more cloud platforms, the complexity of managing inference efficiently across providers with different hardware, networking stacks, and operational models grows significantly. We need product-minded backend engineers who can navigate these platform differences, design the services and abstractions that work across providers, and make architectural decisions that keep us reliable and cost-effective at massive scale. Your work will increase the scale at which our services operate, accelerate our ability to reliably launch new frontier models and innovative features to customers across all platforms, and ensure our LLMs meet rigorous safety, performance, and security standards. Key responsibilities Design, build, and own backend services and infrastructure that serve Claude across multiple CSPs, accounting for differences in compute hardware, networking, APIs, and operational models Work cross-functionally with internal inference, product API, systems, and security teams, among others, and with CSP partners to stand up the full serving stack on new cloud platforms, resolve operational issues, and influence provider roadmaps Build and evolve CI/CD automation systems, including validation and deployment pipelines, that reliably ship new model versions to millions of users across cloud platforms without regressions Design interfaces and tooling abstractions across CSPs that enable cost-effective inference management, scale across providers, and reduce per-platform complexity Contribute to capacity planning, autoscaling, and workload routing strategies that match supply with demand and direct requests to the most cost-effective accelerator and region Analyze observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads Minimum qualifications Have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users Have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code, or container orchestration Are curious about LLM serving; prior inference or ML experience is not required Thrive in cross-functional collaboration with both internal teams and external partners Have experience working with external partners to align goals and deliver impact Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems Are highly autonomous and take ownership of problems end-to-end, including work that falls outside your job description Preferred qualifications Direct experience working with CSPs to scale infrastructure or products across multiple platforms, navigating differences in networking, security, privacy, billing, and managed service offerings Hands-on experience with capacity management, cost optimization, or resource planning at scale across heterogeneous environments Solid understanding of multi-region deployments, geographic routing, and global traffic management Proficiency in Python or Rust The annual compensation range for this role is listed below.  For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit  anthropic.com/careers  directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:  Learn about  our policy for using AI in our application process.

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 The Account Abuse team is tasked with ensuring Anthropic's computing capacity is allocated fairly, minimizing resources available to bad actors and preventing them from coming back. As a software engineer on this team, you will build the machine learning systems that help us detect and stop abuse at scale. The ideal candidate can see things from opponents' perspectives, understand their means and motives, and anticipate their responses to countermeasures. We're looking for full stack machine learning engineers with experience across model training, productionization, and evaluation. You'll also look for ways to use Claude to speed up how these models get built and maintained. This is classical ML on structured and behavioral data. You do not need a deep learning background or knowledge of LLM internals. What matters is that you have trained and shipped models where the stakes are real, and that you care about building robust production systems as much as the model itself. A false positive here is a legitimate customer locked out, so measurement, precision, and safe rollout are part of the job. Key responsibilities Build and operate a feature computation platform that serves both model training and real-time scoring, with point-in-time correct training data and low-latency online retrieval Train, evaluate, and deploy models that detect account-level abuse and fraud, running them both offline and online Build tooling that automates more of the model development lifecycle, including using Claude to speed up feature development, training, and evaluation Make backtesting, shadow deployment, and staged rollout the default path to production, with monitoring for training / serving skew, drift, and adversarial adaptation Work with our data scientists and our Policy & Enforcement team to improve label coverage and quality Partner with product and platform teams to gather signals and integrate model decisions with minimal impact on their systems' latency, stability, or overall architecture Minimum qualifications Proficiency in Python and SQL Experience training machine learning models and deploying them to production Experience building data pipelines with a batch processing engine (e.g., Spark, Beam) and a workflow scheduler (e.g., Airflow) Working understanding of point-in-time correctness and training / serving skew, and how to prevent both Strong communication skills and ability to explain technical tradeoffs to non-technical stakeholders Preferred qualifications Experience building or operating a feature platform such as Chronon, Feast, or Tecton Experience with stream processing engines such as Flink, Beam / Dataflow, or Kafka Streams Experience training ML models in a production setting with demanding serving requirements, such as fraud, risk, or ranking Experience with tree-based models on tabular data Experience building unsupervised, clustering-based or graph-based detection systems to surface coordinated account abuse Experience in integrity, spam, fraud, or abuse detection Experience working with scarce, delayed, or noisy labels Experience with AutoML or other approaches to automating the ML workflow Care about the societal impacts of AI and want your work to make powerful systems safer The annual compensation range for this role is listed below.  For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit  anthropic.com/careers  directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:  Learn about  our policy for using AI in our application process.

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 Legal Tech engineers play a specialized and critical role in keeping Claude at the frontier. Partnering closely with counsel, we provide custom infrastructure and guidance for complex, novel technical matters, empowering teams across the company to continue meeting our legal obligations as we innovate. As a Senior+ Software Engineer on our Legal Tech team, you'll build dedicated, highly secure, and reliable cloud environments and data processing and storage capabilities at speed and scale. You will own your scope end to end: from raw requirements all the way through to large-scale production systems that satisfy legal invariants and unlock new possibilities. The systems you build won't just be dependable and scalable; they'll be interpretable and auditable, demonstrating to skeptical audiences exactly how they worked and why results can be trusted. You'll be an essential member of a collaborative team, working together to solve difficult problems against fixed deadlines. You will own internal customer relationships as well: you'll gather, prioritize, and coordinate needs from colleagues on Privacy, Security, Research, and/or Infra as well as Legal, to ship the right capabilities on the right timelines. You'll act as a trusted advisor: clearly explaining technical concepts and constraints to inform legal decisions, and proactively designing new approaches to prevent classes of problems. Your infrastructure expertise will directly empower our business to calibrate and manage risk, innovating faster thanks to systems that build in legal considerations. Key responsibilities Build and operate dedicated cloud infrastructure, storage, and data pipelines for specialized workloads that can't run on general-purpose systems Design architectures with excellent security, privacy, reliability, scalability, and auditability baked in Partner with a wide range of internal customer teams to translate requirements into sound approaches and realistic ETAs Deliver against fixed deadlines Support complex and novel legal requests on controlled infrastructure, with verifiable chain of custody Pair with engineering teams across the company to extend existing infrastructure to support new workflows and/or legal requests Work with nontechnical stakeholders to clarify their needs through responsive, easy-to-follow dialogue Minimum qualifications Experience designing, building, and operating highly trusted infrastructure and data systems in production, including owning architectural decisions Experience working across large, complex, multi-team environments, including in stacks and code you don't own Ability to take ownership of a cloud account and secure it end to end (networking, storage, identity, encryption, least-privilege provisioning, etc.) on AWS and/or GCP Ability to translate legal and privacy requirements into sound technical designs and implementations that teams are excited to adopt A habit of verifying rather than assuming: designing checks for invariants and plainly naming what isn't proved Self-directed in a high-change environment, and comfortable resequencing quickly when new needs emerge Clear communication with nontechnical stakeholders, and an understanding of their needs Preferred qualifications Software engineering experience with an infrastructure, data, privacy, and/or security focus Proficiency with large-scale data tooling, such as distributed processing, lakehouse table formats, and/or query engines Understanding of data processing pipelines, LLM training, and/or provenance and lineage Experience with secure enclaves, confidential computing, clean rooms, or other purpose-built environments for sensitive data Background in eDiscovery, litigation support, or records retention at scale, including chain of custody and verifiable integrity The annual compensation range for this role is listed below.  For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit  anthropic.com/careers  directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:  Learn about  our policy for using AI in our application process.

What's in it for you?  Ready to make a serious impact? Millions of people already rely on Calendly, and we're still in the midst of exciting product growth — it's a fantastic time to join us. Everything you'll work on here will accelerate your career to the next level. If you want to learn, grow, and do the best work of your life alongside the best people you've ever worked with, then we hope you'll consider allowing Calendly to be a part of your professional journey. About the team & opportunity Millions of people rely on Calendly, and our website is often their first experience with our product and brand. As Calendly continues to grow, our web experiences play an increasingly important role in how people discover our products, find answers, and become customers. In this role, you'll build highly visible experiences at scale while helping shape the technical foundation behind them. A day in the life of a Senior Full Stack Engineer at Calendly As a Senior Full Stack Engineer on the Website Development team, you'll help build and evolve the platforms powering Calendly's public-facing experiences, including our marketing website and Help Center. You'll partner with Marketing, Content, SEO, Design, Product, and Engineering to build fast, accessible, discoverable, and maintainable web experiences. You'll have end-to-end ownership across frontend architecture, content systems, CMS integrations, performance, experimentation, and search and AI-powered discovery. On a typical day , you will be working on:  Design, build, and maintain performant, responsive, and accessible web experiences used by millions of visitors. Own projects end to end, from discovery and technical design through implementation, testing, deployment, measurement, and iteration. Build scalable frontend architecture, reusable components, and content models that allow teams to launch and iterate quickly without sacrificing quality. Build and maintain integrations across our web applications, CMS, analytics and experimentation platforms, APIs, and other Calendly systems. Partner with Marketing, Content, SEO, Design, and Product to translate business and customer needs into scalable technical solutions and efficient publishing workflows. Apply technical SEO and Answer Engine Optimization (AEO) best practices to improve how Calendly content is discovered across traditional search and AI-powered experiences. Monitor and improve Core Web Vitals, site performance, accessibility, reliability, and overall web quality. Help shape the technical direction of Calendly's public web platform by simplifying architecture, improving developer experience, and raising the engineering bar through technical design, testing, code reviews, documentation, and mentorship. What do we need from you? 7+ years of professional software development experience, including significant experience building and operating production web applications at scale. Strong proficiency with modern JavaScript and TypeScript, modern frontend frameworks, and core web technologies including HTML and CSS. Strong understanding of browser behavior, responsive design, accessibility, caching, and web performance. Experience designing scalable frontend systems and reusable component architectures. Experience integrating web applications with APIs, content management systems, analytics platforms, experimentation systems, and other services. Working knowledge of technical SEO, including crawlability, indexing, metadata, structured data, site architecture, redirects, canonicalization, and performance, as well as familiarity with AEO and AI-powered discovery. Experience measuring and improving the performance, accessibility, and quality of high-traffic web applications. Strong engineering fundamentals with an emphasis on clean, maintainable code, thoughtful testing, and incremental delivery. Strong communication and collaboration skills with the ability to take ambiguous business or customer needs, shape the problem, and independently drive a technical solution from idea through production. Authorized to work lawfully in the United States of America as Calendly does not engage in immigration sponsorship at this time. Nice to have Experience with Payload CMS or another modern headless CMS, including designing content models and architectures for large, content-rich websites. Experience with Astro or similar modern web frameworks and static/server-rendered architectures. Experience with internationalization and localization across large web properties. Experience with experimentation, conversion optimization, SEO, growth marketing, or content teams on high-traffic websites. Experience building structured content or content APIs used by AI assistants, search systems, or other downstream consumers. Experience modernizing or migrating large websites, CMS platforms, or frontend architectures. Tier 1 Salary Hiring Range $224,400 — $271,920 USD Tier 2 Salary Hiring Range $205,700 — $249,260 USD Tier 3 Salary Hiring Range $187,000 — $226,600 USD The ranges listed above are the expected annual base salary for this role, subject to change. Calendly takes a number of factors into consideration when determining an employee's starting salary, including relevant experience, relevant skills sets, interview performance, location/metropolitan area, and internal pay equity. Base salary is just one component of Calendly's total rewards package. All full-time (30 hours/week) employees are also eligible for equity awards, and competitive benefits. Eligible Sales employees also qualify for a Sales Incentive program. Calendly uses the zip code of an employee's remote work location, or the onsite building location if hybrid, to determine which metropolitan pay range we use. Current geographic zones are as follows: Tier 1: San Francisco, CA, San Jose, CA, New York City, NY Tier 2: Chicago, IL, Austin, TX, Denver, CO, Boston, MA, Washington D.C., Philadelphia, PA, Portland, OR, Seattle, WA, Miami, FL, and all other cities in CA. Tier 3: All other locations not in Tier 1 or Tier 2 If you are an individual with a disability and would like to request a reasonable accommodation as part of the application or recruiting process, please let your Recruiter know when first connecting with them. Calendly is registered as an employer in many, but not all, states. If you are located in Alaska, Delaware, Hawaii, Idaho, Iowa, Montana, Nebraska, North Dakota, Rhode Island, South Dakota, and West Virginia, you will not be eligible for employment. Note that all individual roles will specify location eligibility. All candidates can find our Candidate Privacy Statement here Candidates residing in California may visit our Notice at Collection for California Candidates here: Notice at Collection This role may require occasional travel for company events, team collaboration, or offsites.

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 is looking for a Recruiter to partner with our Communications team. This team tells Anthropic's story across corporate, product, executive, and internal communications. In this role, you will be the team's primary recruiter. You will own searches from intake through offer, and you will advise leaders on where the talent is, what it costs, and how to win it. The best communicators are rarely looking, so finding them is the job. As the team grows, you may also support hiring for Brand and Marketing. Key responsibilities Have a passion for AI's potential to positively impact the world, and a realistic view of its risks and limitations Have recruited for communications, PR or adjacent roles, and understand what great looks like in that craft Know how to find and engage candidates who are passive through a variety of creative channels Build trust with senior leaders, and have the confidence to push back with data Write clearly and pay close attention to detail, because candidates and comms leaders will notice both Run a tight, high-touch process that respects candidates' time and helps hiring managers decide quickly Turn hiring data into clear recommendations, not just status updates Thrive in a fast-paced environment and handle executive and confidential searches with discretion Preferred qualifications Have 10+ years of full-lifecycle recruiting experience, with a track record of closing senior, hard-to-fill roles Experience hiring for a high-growth technology company whose public narrative matters A network across media, agency, and in-house communications talent Experience supporting executive hiring Experience using AI tools in your daily work, and are curious about where they can take recruiting next The annual compensation range for this role is listed below.  For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $240,000 — $295,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit  anthropic.com/careers  directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:  Learn about  our policy for using AI in our application process.

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 Design at Anthropic sits at the intersection of craft, research, and product intuition. We're a small team working on products that millions of people use daily—and on interactions that don't have established conventions yet. Our work shapes how people experience AI: whether Claude feels like a tool or a collaborator, whether it earns trust or erodes it. We partner closely with engineers and researchers, often designing around capabilities that are emerging in real-time. That means staying close to the models, prototyping rapidly, and being comfortable with ambiguity. We care deeply about craft—the details that make something feel polished and trustworthy—but we ship fast and learn in the open. We'd rather get something in front of users and iterate than wait for perfection. We're looking for designers who ship fast and stay in motion—people who would rather get something in front of users this week than perfect it for a month. You're excited to question fundamental UI assumptions and invent patterns that feel native to AI, and you're already using tools like Claude Code to extend what you can build. You pay attention to where model capabilities are heading, not just what Claude can do today, and you find ways to keep caring about the pixels, the copy, and the edge cases while shipping quickly. Read more here for the type of features we build. Key responsibilities Collaborate with product managers, engineers, AI researchers and other stakeholders to define product vision, strategy and roadmaps, and play an active role in shipping. Understand the technical architecture of our products and define primitives for new capabilities. Define feature areas with exceptional attention to detail and polish, identifying opportunities to improve quality and consistency of broader flows Craft beautiful, polished, and delightful user interfaces that build trust and showcase the power of our AI technology Comfortable in code, design, prototypes, and learning new ways to communicate ideas and concepts Find creative ways to ship high-quality work in a fast-paced, often ambiguous, resource-constrained startup environment Minimum qualifications Experience designing and shipping complex workflows, enterprise/B2B SaaS, developer tools, or API products end-to-end Proven track record of executing end-to-end on large and complex products, or a series of products, in ambiguous environments A portfolio demonstrating user-centered design thinking and polished UI craftsmanship Proficiency with modern design and prototyping tools, such as Figma Experience using AI tools such as Claude Code as a creative partner in your own design practice Excellent collaboration and communication skills to work effectively with cross-functional teams and influence without authority Preferred qualifications Experience prototyping with front-end code (e.g., HTML/CSS/JS) Passion for crafting scaled, highly impactful, safe and beneficial artificial intelligence technologies to enable new possibilities The annual compensation range for this role is listed below.  For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $305,000 — $385,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit  anthropic.com/careers  directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:  Learn about  our policy for using AI in our application process.

About Lucid At Lucid, we are creating exceptional mobility experiences through innovation to drive the world forward. Built on Lucid's proprietary technology and software-defined vehicle architecture, our award-winning vehicles bring our "Compromise Nothing™" approach to the global automotive market. That means refusing to choose between performance and sustainability, design and engineering, ambition and integrity. In Lucid Air and Lucid Gravity, we have designed and built vehicles that have redefined their segments, combining exceptional range, performance, design, and expansive space in a single experience.   We achieve this through deep vertical integration, with design, engineering, and production happening in-house across our global offices and manufacturing facilities. Our teams come from industries around the world, united by a shared commitment to excellence. By refusing to settle, you can help redefine what's possible and shape the future of mobility. Lucid's Body Structures & Closures (BS&C) organization is seeking a Sr.Technical Program Manager (SET Lead, Closures Systems) to deliver complex vehicle programs from concept through production. This role leads Simultaneous Engineering Teams (SETs) executing closures systems content, including dynamic seals, mechanisms, hinges, latches, closures trim, plugs, and grommets, with full accountability for cost, quality, timing, mass, and manufacturability.   This is a senior, hands-on program leadership role for an experienced automotive TPM with strong closures systems technical depth, executive-level communication skills, and the ability to drive disciplined execution in a fast-paced environment.     Key Responsibilities   Program Leadership & Delivery   Lead BS&C SETs across all program phases: concept, architecture, design, industrialization, launch, and post-SOP.   Own integrated program plans, critical path, milestones, and risk mitigation for closures systems content.   Drive execution to aggressive cost, timing, quality, and mass targets.   Lead program forums and SET reviews to align on design maturity, part readiness, tooling status, and build events.   Own engineering change management, clearly controlling scope, cost, and timing impacts.   Cross-Functional Integration   Partner with Vehicle Engineering, Manufacturing Engineering, Supply Chain, NPI, Quality, and Operations to ensure end-to-end delivery.   Ensure early and continuous manufacturability alignment, including tooling, industrialization, and launch readiness.   Serve as the single point of accountability for BS&C closures systems program status, risks, and recovery plans.   Technical Leadership   Provide technical leadership across closures systems content, including:   Dynamic and static sealing systems   Closure mechanisms, latches, strikers, and hinges   Injection-molded and blow-molded plastic components   Closures trim and interior/exterior interface components   Plugs, grommets, and secondary sealing features   Challenge technical and program assumptions to drive optimized outcomes.   Ensure design and release timing supports downstream manufacturing and build execution.   Executive Communication & Operating Cadence   Represent BS&C in program gateways and executive reviews, clearly communicating status, risks, and trade-offs.   Establish and continuously improve program management cadence, tools, and metrics.   Culture & Talent Development   Drive a culture of ownership, accountability, and technical excellence.   Mentor TPMs and SET leaders within the BS&C organization.     Required Qualifications   Program Leadership   Proven ability to independently start and lead complex automotive programs.   Track record of delivering at least one full vehicle or major subsystem program through SOP.   Strong command of program planning and tracking tools (i.e. MS Project, Smartsheet, or equivalent; Jira a plus).   Technical Background   Strong hands-on knowledge of closures systems, including mechanisms, sealing systems, hinges, trim, and associated injection-molded and engineered plastic components.   Familiarity with supplier-developed systems and the associated co-development, tooling, and validation processes typical of closures content.   Solid understanding of vehicle development, design release, tooling, manufacturing readiness, and launch.   Leadership & Mindset   Exceptional ownership mindset; operates beyond formal role boundaries.   Structured, data-driven decision-maker comfortable in ambiguity.   Clear, concise communicator across engineering and executive audiences.   Education & Experience   Bachelor's degree in Engineering or related technical field (Master's or PhD preferred).   5+ years of relevant experience  OEM or Tier-1 automotive experience strongly preferred.     Additional Information   Approximately 10% travel to Lucid engineering and manufacturing sites to support builds and launches.     At Lucid, we don't just welcome diversity - we celebrate it! Lucid Motors is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity and expression, marital status, and any other characteristic protected under applicable State or Federal laws and regulations. Compensation & Benefits:   Lucid offers a comprehensive and competitive  benefits package  including medical, dental, and vision insurance; life and disability coverage; paid time off; paid holidays, paid sick leave; and a 401(k) retirement plan. Hourly/non-exempt employees accrue up to 120 hours paid time off, and salaried/exempt employee accrue up to 160 hours paid time off.  Eligible employees may also participate in Lucid's equity program and/or a discretionary annual cash incentive program. Incentive and equity awards, if applicable, are determined based on individual performance, role scope, market considerations, and overall company results, in accordance with the terms of the applicable plans.   Equal Opportunity: At Lucid, we believe diversity strengthens everything we build. Lucid Motors is proud to be an equal opportunity employer and is committed to providing an inclusive workplace for all. We consider all qualified applicants without regard to race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity or expression, marital status, or any other characteristic protected by applicable state or federal laws and regulations.   Accessibility:  Lucid Motors is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need any accommodation to participate in the application process, please contact us at  TA-Operations lucidmotors.com . This email address is designated solely for accommodation requests and is not monitored for job applications or resume submissions. To be considered for employment, all applications must be submitted through the Lucid Motors Careers website. Candidate Data Privacy:  By submitting your application, you understand and agree that your personal data will be processed in accordance with our  Candidate Privacy Notice .   To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to Lucid Motors. Lucid Motors is not responsible for any fees related to unsolicited resumes.    

About Lucid At Lucid, we are creating exceptional mobility experiences through innovation to drive the world forward. Built on Lucid's proprietary technology and software-defined vehicle architecture, our award-winning vehicles bring our "Compromise Nothing™" approach to the global automotive market. That means refusing to choose between performance and sustainability, design and engineering, ambition and integrity. In Lucid Air and Lucid Gravity, we have designed and built vehicles that have redefined their segments, combining exceptional range, performance, design, and expansive space in a single experience.   We achieve this through deep vertical integration, with design, engineering, and production happening in-house across our global offices and manufacturing facilities. Our teams come from industries around the world, united by a shared commitment to excellence. By refusing to settle, you can help redefine what's possible and shape the future of mobility. As a Sales Specialist in a Lucid Studio, your primary focus will be to guide customers on their journey with Lucid as a main point of contact from sales, transaction facilitation, and successful delivery.  This role is pivotal in ensuring a seamless and personalized customer experience.  If you're achievement-oriented, thrive in goal-focused settings, and have exceptional relational skills, then you'll excel as a Lucid Sales Specialist. Sales Specialist at Lucid is career-defining chance for those who are driven by the thrill of uncapped earning potential plus, have the stability of a guaranteed hourly wage .  Dive into a role where your efforts are directly rewarded, where your sales talent shines in a dynamic and high-achieving environment.  Customer Engagement Needs Assessment: Effectively gauge customer needs through personalized interactions and insightful questioning. Product Expertise: Leverage your in-depth knowledge of Lucid products to offer tailored solutions. Competitive landscape: Take initiative to understand competitor models, pricing, and packages in order to educate customer on why Lucid Customer Relationships: Build and nurture customer relationships to foster brand loyalty. CRM: Utilize Salesforce as CRM tool to track and manage customer interactions with consistent engagement Pipeline Management: Maintain and build a robust sales pipeline through disciplined practices. Goal-Oriented: Meet and exceed performance targets, linking sales with exceptional customer experiences. Conduct test drives and articulate desired selling points ensuring an exceptional experience while driving Lucid vehicles. Deliver an exceptional and memorable sales experience that you would personally want to have Transaction Facilitation (Desking):  Manage end to end transitions for Order to Delivery Management: Support customers with financing/leasing application and Monitor application status, submitted documents and vehicle readiness. Successful Delivery: Guide the customer through the ordering process of Lucid new vehicles, including obtaining documentation, advising on financial products and ensuring the overall purchase and financing process is smooth. Handle registration and facilitation of payment due at signing Coordinate customer support with Lucid Financial Service and Delivery teams as required Assist with daily operations as needed Communication & Presentation Clear Communication: Use exceptional oral and written communication skills to deliver clear and relevant information. Maintain communication on a regular basis during waiting period before delivery date is scheduled Active Listening: Employ active listening techniques to provide solutions that are genuinely helpful to customers. Qualifications 2+ years of relevant sales professional experience in commission-based environment, including building and managing a customer pipeline. Retail automotive sales and desking experience highly desired Availability to work flexible hours including weekends, evenings, and holidays in a retail environment Microsoft Office, CRM tools (Salesforce preferred), and retail business systems user experience Proven track record of achieving individual sales goals. Curiosity and passion about electric vehicles and the premium vehicle market and competitive landscape Exceptional communication skills, encompassing active listening, clear verbal articulation, and proficient written communication, ensuring effective and concise conveyance of information. Strong commitment to continuous personal and technical learning, with a track record of quickly acquiring new skills and knowledge and adaptability. Demonstrated perseverance, grit, and the ability to prioritize long-term goals over short-term rewards, consistently exhibiting resilience and determination in overcoming challenges. Keen understanding of automotive market dynamics, financial principles, and industry trends, enabling informed decision making for our customers. Proactive and action-oriented, achieving objectives with a sense of urgency and efficiency. Exceptional time management skills and a highly organized approach to tasks and responsibilities, ensuring prioritization and multitasking. Exceptional interpersonal skills with a demonstrated ability to build and maintain positive, productive relationships with peers and customers. Passionate about electric vehicles and the premium vehicle market. Bachelor's degree or equivalent work experience preferred. High school or GED required. Ability to coordinate and facilitate customer test-drives. Ability to travel as needed for events Proficiency in English; knowledge of a secondary language is a plus. Physical capacity to stand for extended periods and perform tasks like twisting, bending, squatting, and reaching, with or without reasonable accommodation. Must maintain a valid driver's license and be able to obtain a DMV Salesperson License. At Lucid, we don't just welcome diversity - we celebrate it! Lucid Motors is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity and expression, marital status, and any other characteristic protected under applicable State or Federal laws and regulations. Compensation & Benefits:   Lucid offers a comprehensive and competitive  benefits package  including medical, dental, and vision insurance; life and disability coverage; paid time off; paid holidays, paid sick leave; and a 401(k) retirement plan. Hourly/non-exempt employees accrue up to 120 hours paid time off, and salaried/exempt employee accrue up to 160 hours paid time off.  Eligible employees may also participate in Lucid's equity program and/or a discretionary annual cash incentive program. Incentive and equity awards, if applicable, are determined based on individual performance, role scope, market considerations, and overall company results, in accordance with the terms of the applicable plans.   Equal Opportunity: At Lucid, we believe diversity strengthens everything we build. Lucid Motors is proud to be an equal opportunity employer and is committed to providing an inclusive workplace for all. We consider all qualified applicants without regard to race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity or expression, marital status, or any other characteristic protected by applicable state or federal laws and regulations.   Accessibility:  Lucid Motors is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need any accommodation to participate in the application process, please contact us at  TA-Operations lucidmotors.com . This email address is designated solely for accommodation requests and is not monitored for job applications or resume submissions. To be considered for employment, all applications must be submitted through the Lucid Motors Careers website. Candidate Data Privacy:  By submitting your application, you understand and agree that your personal data will be processed in accordance with our  Candidate Privacy Notice .   To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to Lucid Motors. Lucid Motors is not responsible for any fees related to unsolicited resumes.    

About Lucid At Lucid, we are creating exceptional mobility experiences through innovation to drive the world forward. Built on Lucid's proprietary technology and software-defined vehicle architecture, our award-winning vehicles bring our "Compromise Nothing™" approach to the global automotive market. That means refusing to choose between performance and sustainability, design and engineering, ambition and integrity. In Lucid Air and Lucid Gravity, we have designed and built vehicles that have redefined their segments, combining exceptional range, performance, design, and expansive space in a single experience.   We achieve this through deep vertical integration, with design, engineering, and production happening in-house across our global offices and manufacturing facilities. Our teams come from industries around the world, united by a shared commitment to excellence. By refusing to settle, you can help redefine what's possible and shape the future of mobility. About the Team   Lucid's Material Planning team supports production readiness by helping ensure the right parts are available at the right time for manufacturing operations. The team partners closely with Supply Chain, QA/QC, Manufacturing, Packaging, and Material Flow Engineering to identify material risks, resolve shortages, and protect production flow. What makes this team unique is its direct impact on daily plant execution, using data, cross-functional coordination, and rapid problem solving to keep operations moving in a fast-paced manufacturing environment.   About the Role   The Material Planning Analyst is an individual contributor role that reports to a Supply Chain or Material Planning leader. This role exists to strengthen visibility, accountability, and response time across material planning activities that support production continuity. In the first 12 months, this person will own reporting, risk monitoring, shortage resolution support, and data integrity improvements that help reduce material disruptions and improve planning accuracy. Success will be measured by timely risk escalation, reliable KPI reporting, stronger cross-functional alignment, and improved confidence in material planning data. A strong candidate will gain hands-on exposure to production-critical planning decisions in an electric vehicle manufacturing environment where their analysis directly supports plant execution and operational performance.   What You Own   Inventory Risk:  Monitor reports and indicators of potential inventory risk, identify root causes, and communicate resolution paths that help protect production schedules.   KPI Reporting:  Develop and maintain KPIs and reporting tools that give Manufacturing and Production Control clear visibility to risks, categories, countermeasures, and timing.   Shortage Resolution:  Serve as a liaison between material follow-up, material planning, and LOC operations to resolve plant material shortages and support timely part availability.   Supplier Performance:  Prepare and manage reports that support Supply Chain analysis of supplier performance and enable informed escalation or corrective action.   Data Integrity:  Audit and monitor data across material follow-up and transportation systems to improve planning accuracy and reduce preventable disruptions.   Cross-Functional Alignment:  Coordinate with external departments to resolve shortage issues, including deviation requests and stock transfers across multiple usage points.   Inventory Control:  Establish, monitor, and maintain inventory levels across multiple locations by tracking theoretical consumption, actual replenishment orders, and system improvement opportunities.   What You Bring   High school diploma or GED required.   3 years of experience in material planning, supply chain analysis, or related manufacturing planning function.   Experience supporting material planning, inventory control, or production supply requirements in a manufacturing environment.   Advanced Excel skills and ability to work with reporting tools, data sets, and planning systems.   Ability to read, write, speak, and understand English sufficiently to perform the essential duties of the position, including understanding work instructions, safety procedures, and job-related communications.   Preferred Qualifications   Bachelor's degree in Supply Chain, Business, Operations, Engineering, or a related field.   Experience in automotive, electric vehicle, or high-volume manufacturing environments.   Proficiency with Material Requirements Planning (MRP) systems or similar software; SAP experience preferred.   Knowledge of lean manufacturing techniques and continuous improvement practices.   Demonstrated success partnering across Supply Chain, Manufacturing, QA/QC, Packaging, and Material Flow teams.   Physical Requirements   Ability to read, write, speak, and understand English sufficiently to perform the essential duties of the position, including understanding work instructions, safety procedures, and job-related communications.   Standing and Walking:  Ability to stand and walk for extended periods in a production or warehouse environment as needed.   Manual Dexterity:  Frequent use of hands for computer work, documentation, data entry, and handling materials or reports.   Lifting and Carrying:  Ability to lift, carry, push, or pull items weighing up to 25 lbs. as needed.   Reaching and Bending:  Occasional reaching, bending, twisting, or squatting as part of operational support activities.   PPE Expectations:  Must wear required PPE, including safety shoes, gloves, eye protection, hearing protection, or other equipment as required by company safety standards.   Work Requirement   This role is at Phoenix, AZ facility. Daily in-person presence is required.       At Lucid, we don't just welcome diversity - we celebrate it! Lucid Motors is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity and expression, marital status, and any other characteristic protected under applicable State or Federal laws and regulations. Compensation & Benefits:   Lucid offers a comprehensive and competitive  benefits package  including medical, dental, and vision insurance; life and disability coverage; paid time off; paid holidays, paid sick leave; and a 401(k) retirement plan. Hourly/non-exempt employees accrue up to 120 hours paid time off, and salaried/exempt employee accrue up to 160 hours paid time off.  Eligible employees may also participate in Lucid's equity program and/or a discretionary annual cash incentive program. Incentive and equity awards, if applicable, are determined based on individual performance, role scope, market considerations, and overall company results, in accordance with the terms of the applicable plans.   Equal Opportunity: At Lucid, we believe diversity strengthens everything we build. Lucid Motors is proud to be an equal opportunity employer and is committed to providing an inclusive workplace for all. We consider all qualified applicants without regard to race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity or expression, marital status, or any other characteristic protected by applicable state or federal laws and regulations.   Accessibility:  Lucid Motors is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need any accommodation to participate in the application process, please contact us at  TA-Operations lucidmotors.com . This email address is designated solely for accommodation requests and is not monitored for job applications or resume submissions. To be considered for employment, all applications must be submitted through the Lucid Motors Careers website. Candidate Data Privacy:  By submitting your application, you understand and agree that your personal data will be processed in accordance with our  Candidate Privacy Notice .   To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to Lucid Motors. Lucid Motors is not responsible for any fees related to unsolicited resumes.    

About Lucid At Lucid, we are creating exceptional mobility experiences through innovation to drive the world forward. Built on Lucid's proprietary technology and software-defined vehicle architecture, our award-winning vehicles bring our "Compromise Nothing™" approach to the global automotive market. That means refusing to choose between performance and sustainability, design and engineering, ambition and integrity. In Lucid Air and Lucid Gravity, we have designed and built vehicles that have redefined their segments, combining exceptional range, performance, design, and expansive space in a single experience.   We achieve this through deep vertical integration, with design, engineering, and production happening in-house across our global offices and manufacturing facilities. Our teams come from industries around the world, united by a shared commitment to excellence. By refusing to settle, you can help redefine what's possible and shape the future of mobility. The role of the Delivery Advisor is to engage with customers and businesses who have ordered Lucid Motors vehicles. Our Delivery Advisors are responsible for deliveries from the moment that our customers place their order till you personally hand them over their keys. Delivery Advisors guide customers through the ownership of their vehicle, collect critical customer information, and coordinating and executing vehicle deliveries. We prioritize a world-class customer service experience and our Delivery Advisors play a key role in continuing to build upon the Lucid Motors brand though their delivery of an unparalleled experience for our customers. Our ideal candidate has an unwavering commitment to the accurate collection and recording of customer information through building meaningful relationships and possesses demonstrable interpersonal and communication skills. You are an active listener, attentive and articulate, capable of balancing the technical (intellectual) with the creative (emotional) that helps customers on their buying journey with Lucid. You are meticulously detailed, well-organized, and understand the critical nature of setting daily priorities. You can understand the expectations and needs of our customer and are able to adapt in an instance. The Delivery Advisor's role combines sales, customer service, and business development requiring a high-degree of customer-focused energy.   Responsibilities: Deliver an unparalleled customer experience you would personally want to have. Coach customers throughout the customer journey via phone, email, and chat. Perform deliveries in a personal, efficient, and inspirational way Educate customers on the product and what to expect during their ownership experience. Handle objections that help instill confidence and excitement with our customers. Engage in meaningful conversations with customers through multiple mediums. Collect and record customer information during the customer journey with impeccable data accuracy. Maintain up-to-date product knowledge and their value to our customers. Collaborate with various teams, including Sales, Vehicle Registration, Order Operations, and Logistics. Meticulously record customer feedback to improve both products and business processes. Identify inefficiencies and pain points in existing workflows for customers and clearly communicate how we can solve these issues.   Qualifications:   2+ years of professional experience in sales, support, or other customer-facing role within the automotive industry   Excellent communication skills in French and English Passion for a fast-paced, high-growth environment   Eye for detail and a precise and accurate worker   Strong storytelling, active listening, and customer relationship skills (empathy, communication, integrity, and high-quality question-asking)   Self-starter and quick thinker with a high attention to detail   Ability to work rotationally on the weekend to execute customer deliveries   Driver license and a clean driving record   Flexible to travel on a short notice to execute deliveries     Advantageous:   Proficiency with Salesforce or other CRM     Join Lucid Motors and be a part of the luxury electric vehicle revolution in Geneva! Apply now and contribute to the sustainable future of mobility while offering customers an unparalleled driving experience   Lucid Motors is committed to maintaining a safe and trustworthy environment. As such, a background check may be required during the hiring process. This will be performed in line with  Europe an data protection laws, and candidates will be informed and asked to provide consent before the check is conducted. Compensation & Benefits:   Lucid offers a comprehensive and competitive  benefits package  including medical, dental, and vision insurance; life and disability coverage; paid time off; paid holidays, paid sick leave; and a 401(k) retirement plan. Hourly/non-exempt employees accrue up to 120 hours paid time off, and salaried/exempt employee accrue up to 160 hours paid time off.  Eligible employees may also participate in Lucid's equity program and/or a discretionary annual cash incentive program. Incentive and equity awards, if applicable, are determined based on individual performance, role scope, market considerations, and overall company results, in accordance with the terms of the applicable plans.   Equal Opportunity: At Lucid, we believe diversity strengthens everything we build. Lucid Motors is proud to be an equal opportunity employer and is committed to providing an inclusive workplace for all. We consider all qualified applicants without regard to race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity or expression, marital status, or any other characteristic protected by applicable state or federal laws and regulations.   Accessibility:  Lucid Motors is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need any accommodation to participate in the application process, please contact us at  TA-Operations lucidmotors.com . This email address is designated solely for accommodation requests and is not monitored for job applications or resume submissions. To be considered for employment, all applications must be submitted through the Lucid Motors Careers website. Candidate Data Privacy:  By submitting your application, you understand and agree that your personal data will be processed in accordance with our  Candidate Privacy Notice .   To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to Lucid Motors. Lucid Motors is not responsible for any fees related to unsolicited resumes.    

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo's People team recruits and supports the world's best talent (including, we hope, you). Our HR business partners, program administrators, staffers, and compensation specialists help our employees attain their full potential in a healthy, considerate and supportive environment. We take our role as stewards of Waymo's culture seriously. In this hybrid role you will report to the Manager of People and Talent Acquisition Operations and be based out of Mountain View, CA. You will: Define, design, and execute strategic TA Operations roadmaps that streamline end to end recruitment workflows, scale operations, and enhance candidate experience. Serve as the strategic partner and system administrator for TA technology platforms (e.g. Greenhouse, Gem, ServiceNow), leveraging automation and AI solutions to scare service delivery. Drive continuous improvement of our TA technology stack by identifying gaps, evaluating processes, and creating impact in partnership across TA. Partner with People Analytics and TA Operations to establish key TA metrics, derive actionable insights from complex datasets, and enforce data integrity across systems. Oversee and partner with the TA Ops Team on testing and troubleshooting of new tools, systems, and processes to ensure successful implementation and adoption.  Provide support and guidance throughout the implementation and training process.  Ensure proper tool adoption and continuous operational improvement across TA. Partner with TA Leads and TA Ops on TA projects.   You have: 6 years of experience in Recruiting Operations, HR Program Management, or related operations roles in a fast-paced technology environment. Proven track record of leading end-to-end TA programs, system implementations, and process optimization initiatives at scale Deep functional expertise in Enterprise ATS administration (preferably Greenhouse), enterprise ticketing platforms (ServiceNow), and sourcing CRM tools. Strong analytical ability to evaluate recruiting health, synthesize data using advanced spreadsheet/visualization tools, and influence executive stakeholders. Strong business acumen with the ability to solve complex challenges, utilizing critical thinking, and analysis.   We prefer: Proficiency with SQL, BigQuery, Tableau, or advanced data visualization platforms. Experience navigating complex regulatory environments, global expansion projects, and employment compliance standards. PMP, Six Sigma, or equivalent project management certifications. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.  Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.  Salary Range $159,000 — $196,000 USD

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo's Systems Engineering team works together to blend software and hardware systems in groundbreaking new ways. We set the high performance standards that ensure our vehicles run smoothly and keep passengers safe, then design and perform the tests that validate that performance. We're looking for talented teammates who'll help us maintain strong teamwork and are passionate about driving results. Waymo interns partner with leaders in the industry on projects that create impact to the company. We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skill-set. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship!   You will: Determine and author requirements and verification items for detection models that cover pedestrians near the Waymo vehicle.   Collect and analyze data from existing logs and/or structured tests to test these requirements and identify false-positive clusters. Run evaluations and triage results to track performance and identify release-over-release changes. Leverage the evaluation framework you build to highlight areas with headroom and help the Perception teams hillclimb.   You have: Currently pursuing a PhD in a technical field, such as Engineering, Physics, CS, etc. Software engineering fundamentals Familiarity with systems engineering, particularly the logical flow of requirements to tests We prefer: Experience handling large data sets/queries (e.g., SQL, Python) and/or automating test flows Understanding of the fundamentals of an autonomous vehicle stack, including the data pipeline from sensors to Perception Existing knowledge/skills/experience related to the autonomous vehicle industry or other similar forms of automation Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in. The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company's generous benefits programs, subject to eligibility requirements. Hourly PhD Pay $85 — $85 USD