About Flexport: At Flexport, we believe global trade can move the human race forward. That's why it's our mission to make global commerce so easy there will be more of it. We're shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year. The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us. The Opportunity We're looking for a Manager, Freight Audit Services to help build and run our client-facing freight audit service. You'll help clients check freight charges, resolve billing discrepancies, and understand their transportation costs. The service will focus on freight invoices. You'll build the operating processes, onboard clients, oversee audits, and hire a team as demand grows. You'll also work with Product, Engineering, and commercial teams to improve the service and its economics. This role suits someone who likes building from the ground up, works carefully with data, and earns clients' trust. You'll be expected to use AI and automation yourself and help the team put them to work. You Will Help launch the service and establish procedures, quality checks, service standards, ownership, and escalation paths. Lead client onboarding: gather contracts, invoices, shipment data, and authorizations, then confirm the audit scope and readiness to begin. Run daily audit delivery, checking invoices against contracted rates, terms, and shipment records and investigating discrepancies. Manage carrier disputes and billing corrections. Keep supporting evidence, follow issues through resolution, and distinguish potential savings from confirmed client value. Be the operational point of contact for clients. Explain findings, resolve escalations, and lead service reviews with clear reporting. Hire, train, and develop the team as demand grows. Match staffing and workloads to client needs, quality standards, and cost to serve. Work with Product and Engineering to define requirements and test improvements. Build and trial AI-assisted workflows for extracting invoice data, comparing charges with contracts, and investigating exceptions; verify accuracy before expanding their use. Support Sales and Account Management with discovery, service scoping, implementation planning, and input on pricing and proposals. Track onboarding time, audit turnaround, accuracy, dispute outcomes, client value, productivity, and profitability. Use those results to improve delivery. Success in Your First Year Initial clients receive a reliable service with repeatable onboarding, audit, dispute, and reporting processes. Clients understand the findings, dispute outcomes, and financial value the service delivers. A well-trained team grows with demand while maintaining quality and manageable workloads. Client and audit feedback leads to better product capabilities and service, with measurable gains from AI, automation, and lower cost to serve. You Should Have A record of strong results in operations, logistics, financial operations, client delivery, consulting, or a related field. The ability to make progress on an unfamiliar problem, exercise judgment with incomplete information, and finish what you start. Strong analytical skills and attention to detail. You can reconcile data in Excel, Google Sheets, or similar tools and investigate discrepancies. Clear client communication and the judgment to handle sensitive issues, explain findings, and set realistic expectations. Leadership experience in managing people, developing colleagues, or leading cross-team projects. The ability to quickly learn freight contracts, billing practices, and audit procedures, and to work with Product and Engineering to improve them. Hands-on experience using generative AI to analyze information or improve a recurring workflow. You can explain what you built, how you tested it, and what improved. Sound judgment about AI: you check results against source data, recognize unreliable outputs, protect confidential information, and know when human review is needed. Experience in freight auditing, ocean logistics, service launches, or client implementations is helpful. We welcome strong candidates from adjacent fields who can demonstrate the ability to learn, ownership, and judgment this role requires. Commitment to Equal Opportunity At Flexport, our ability to fulfill our mission of making global commerce easy and accessible relies on having a diverse, dedicated and engaged workforce. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, national origin, age, physical and mental disability, health status, marital and family status, sexual orientation, gender identity and expression, military and veteran status, and any other characteristic protected by applicable law. Global Data Privacy Notice for Job Candidates and Applicants Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. By submitting your application, you are agreeing to our use and processing of your data as required. Please see our Privacy Notice available at www.flexport.com/privacy for additional information.
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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. Note: this job post is for Fullstack Software Engineers only. If you are a Backend Engineer, please see our Backend Software Engineer post here . About the role We are looking for fullstack software engineers to help build safety and oversight mechanisms for our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being. This role will focus on building systems to detect unwanted model behaviors and prevent disallowed use of models. You will apply your technical skills to uphold our principles of safety, transparency, and oversight while enforcing our terms of service and acceptable use policies. We have multiple teams that are currently hiring within Safeguards. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers where they'll have the greatest impact and growth potential. Responsibilities: Design and build the internal review tools analysts use to investigate abuse — dashboards, case queues, and evidence viewers that make high-volume, high-stakes decisions fast and accurate. Build the interfaces where humans supervise agents: streaming output, interruption and approval flows, and clear provenance for every action an agent takes. Surface abuse patterns to our research teams through the visualizations and exploration tools that make emerging patterns legible. Own the frontend architecture for tools handling sensitive data at scale — performance under large datasets, correctness under real-time updates, and access controls enforced end to end. You may be a good fit if you have: A Bachelor's degree in Computer Science, Software Engineering or comparable experience Proficiency in TypeScript and modern React; comfortable in Python for backend work The ability to work across the stack Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Strong candidates may also: 8+ years of experience in a software engineering position, not including internships or co-ops Have experience building data-dense internal tools or operator interfaces, not just marketing or consumer surfaces Have experience with integrity, spam, fraud, or abuse detection and mitigation Have experience building trust and safety detection mechanisms and intervention for AI/ML systems Have experience with prompt engineering, jailbreak attacks, and other adversarial inputs Have worked closely with operational teams to build custom internal tooling 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: $405,000 — $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 As Anthropic's models grow more capable, so does the interest of people who want to attack or misuse them. The Detection and Response (D&R) team spots those threats and responds to incidents across every layer of Anthropic's technology stack. The team is early-stage, so you'll help build our detection and response capabilities from the ground up and work closely with our security and research teams. Key responsibilities Lead incident response across a range of domains, from external attacks to insider threats, spanning all layers of Anthropic's technology stack Build and deploy tooling, including tools that use large language models, to improve how we detect and respond to threats Create and tune detections, playbooks, and workflows to catch and respond to incidents quickly Review incident response metrics and procedures, and drive improvements Work across security and engineering teams Take part in an on-call rotation Minimum qualifications Experience handling security incidents and investigating anomalies as part of a team Working knowledge of EDR, SIEM, SOAR, or similar security tooling A solid understanding of cloud environments and operations Experience working with engineering teams in a SaaS environment Proficiency with a scripting language such as Python and query languages such as SQL Strong communication and collaboration skills Able to lead projects with little guidance Able to pick up new languages and technologies quickly Preferred qualifications 7+ years of software engineering experience, or 7+ years of detection engineering, incident response, or threat hunting experience Security operations or investigations involving large-scale Kubernetes environments Experience analyzing attack behavior and prototyping high-quality detections Experience with threat intelligence, malware analysis, infrastructure as code, or forensics Experience contributing to a high-growth startup environment 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 is growing quickly across EMEA, and we need recruiters who can help us hire exceptional people into the teams that keep the company running and bring our work to customers. We're looking for a Recruiter to join our Talent team—based in Dublin —to own full-cycle recruiting for either our G&A functions (Finance, Legal, People, and related areas) or our Go-To-Market organization (Sales, Marketing, Partnerships, and Customer-facing roles), depending on business need and your background. This is a full-cycle individual-contributor role for a strong recruiter who can run an excellent process end to end—sourcing, screening, managing stakeholders, and closing. You'll partner with hiring managers across EMEA to understand what great looks like, build healthy pipelines, and deliver a candidate experience that reflects Anthropic's values. You'll work in a fast-moving environment where priorities shift, and you'll have real ownership over the roles you run. We're open to candidates whose strength is in G&A recruiting or in GTM recruiting; in your application, tell us where your experience is deepest. Key responsibilities Own full-cycle recruiting for a portfolio of G&A or GTM roles across EMEA—from intake through offer and close Partner with hiring managers to scope roles, calibrate the bar, and build effective sourcing strategies Source and engage high-quality active and passive candidates, building diverse and competitive pipelines Run structured, rigorous, and candidate-centric interview processes that uphold Anthropic's hiring bar Manage candidates through the process with clear communication and a great experience at every stage Collaborate with the broader Talent team, People Partners, and Compensation to structure offers and guide candidates to close Use data to track pipeline health and share insight that helps hiring managers make good decisions Minimum qualifications Track record of closing strong candidates in competitive markets Familiarity with the EMEA talent landscape and comfort recruiting across multiple countries Strong stakeholder management—you build trust and partnership with hiring managers Excellent organization and the ability to manage multiple searches at once without dropping details Clear, direct communication style and a bias toward action Comfort operating with ambiguity in a fast-moving environment Genuine interest in Anthropic's mission and the role recruiting plays in achieving it Preferred qualifications 4+ years of full-cycle recruiting experience in either G&A (Finance, Legal, People) or GTM (Sales, Marketing, Partnerships) hiring Experience recruiting at a high-growth technology, AI, or machine learning company Experience recruiting across both G&A and GTM functions Experience hiring across multiple EMEA markets, including the UK and Ireland Familiarity with Greenhouse or similar ATS platforms Additional European language skills relevant to hiring across the region 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: €125.000 — €170.000 EUR 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 Growth at Anthropic is about helping people discover what Claude can do and make it part of how they work, from someone's first session to an entire company rolling out Claude. We're a small design team working across all of Anthropic's products, on problems that often don't have established playbooks, because the products and the capabilities behind them change so quickly. We drive growth by making the product itself better, favoring foundational changes and new product experiences over small optimizations. Our focus spans whatever most limits Anthropic's growth, and priorities can shift quickly. As a senior Product Designer on Growth, you'll own how Claude grows with people who use it for their everyday work. You'll dig into why some people make Claude a habit and others don't, find the real bottlenecks, and lead the product changes that move them. You'll set the vision for this area, partner closely with product, engineering, and data science, and raise the quality bar for the designers around you. We're looking for designers who thrive in ambiguity and pair sharp diagnostic judgment with exceptional craft. You form a clear point of view from messy signals, prototype quickly to test it, and drive alignment across teams to ship it. You use tools like Claude Code to explore ideas and push what's possible. Key responsibilities Own growth for how people use Claude in their everyday work, end to end, as your full-time focus Diagnose what drives deep, habitual use and what blocks it, combining data, research, and hands-on time in the product Set an opinionated vision for the area and turn it into a roadmap with your PM, engineering, and data science partners Redesign core parts of the product to drive growth, from onboarding and first-run experiences to the everyday workflows people rely on most Shape hypotheses and experiments, and judge results with a nuanced view of how we win, not just the topline metric Deliver exceptionally crafted interactions and set the quality bar for your area Drive alignment with partner teams whose work touches your area, connecting individual use to team and company adoption Mentor other designers, and frame problems clearly enough that others can own them Prototype and test ideas quickly with Claude Code and other AI tools Minimum qualifications A portfolio of shipped product design work that shows product vision and a high level of craft Experience owning growth for a major product area end to end, including diagnosing problems and setting direction Deep growth design experience in activation, onboarding, retention, engagement, or expansion, on a product at meaningful scale Hands-on experience designing, launching, and interpreting experiments, and using them to make product decisions Fluency with product analytics such as funnels, retention, and engagement Proficiency with design, prototyping, and AI tools, such as Figma and Claude Code, and a habit of learning new tools to push what's possible Strong collaboration and communication skills, with experience driving alignment across product, engineering, and data science Preferred qualifications Experience leading growth strategy across multiple teams or product areas Experience designing enterprise/B2B SaaS, productivity, or collaboration tools Experience with product-led growth, from a single user to a team to a company-wide rollout Experience mentoring designers or shaping a design practice Comfort querying data yourself with SQL or a similar tool Experience prototyping with front-end code (e.g., HTML/CSS/JS) Experience defining AI-powered workflows for yourself or your team A clear point of view on when a product should ask for attention, and when it should stay out of the way Passion for building safe, beneficial AI that helps people do their best work Representative projects Diagnose why some people make a product part of their daily work and others drift away, then lead the changes that close the gap Redesign a core part of the product so people return to it more often and get more value each time Set the vision for a product's first-run experience and lead it through experiments to a redesigned, permanent flow Design the path from one person's daily use to their whole team adopting it 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 — $460,000 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.
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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 We are seeking a Head of Digital Natives & Startups, ANZ to build and lead Anthropic's go-to-market motion for digital native businesses and startups across Australia and New Zealand. You will grow a team that wins and expands the region's fastest-moving, AI-forward companies, driving consumption of Claude directly and through our cloud partners. You will set the segment strategy, hire and develop the team, and work closely with Product, Partnerships and Marketing to turn ANZ builders into long-term customers. This is a chance to shape how one of the world's most dynamic startup ecosystems adopts frontier AI, while representing ANZ's priorities to our global leadership. Key responsibilities Define and execute the ANZ go-to-market strategy for Digital Natives and Startups, covering both new customer acquisition and growth within existing accounts Build, hire and lead a high-performing sales team across Australia and New Zealand, with clear targets, regular coaching and defined career paths Own pipeline, forecast and consumption targets for the segment, running a consumption-based sales motion Build a repeatable motion across the customer lifecycle, from early-stage founders to scaled, high-growth digital natives Develop strong relationships across the ANZ startup ecosystem, including founders, venture investors, accelerators and developer communities Partner with cloud providers and our Partnerships team to co-sell and extend our reach in the segment Collaborate with Product, Marketing, Solutions and Customer Success to adapt our offering and messaging for ANZ, and bring customer feedback back to the business Represent ANZ priorities to regional and global leadership, and keep local execution aligned with global strategy Act as an executive sponsor for key customers and communicate Anthropic's trust and safety principles with credibility Minimum qualifications 15+ years of overall experience selling technology products to enterprise organisations across ANZ market 5+ years of people management experience leading sales teams in the digital native and/or startup segment Proven success in consumption-based technology sales, such as cloud, API or usage-based SaaS Experience building a business or team from the ground up in Australia and/or New Zealand Track record across both customer acquisition and account growth Strong network and credibility in the ANZ startup and digital native ecosystem Ability to explain technical products clearly to founders, engineers and executives Preferred qualifications Background at Google, AWS or a similar cloud or SaaS company Experience selling AI, machine learning or developer-focused products Experience co-selling with cloud partners and working with channel Experience hiring and scaling a team through rapid growth Familiarity with the ANZ regulatory and data-privacy landscape 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 As a Data Engineer on the Data Science & Analytics team, you'll build the foundation that lets analytics scale across Anthropic. You'll partner with Engineering, Product and other teams to turn raw data into reliable metrics, reporting and insights, and you'll make sure teams have accurate metrics for our consumer products from idea to launch. You'll also lead your own projects that make self-serve insights possible, so teams can make data-driven decisions. Responsibilities Understand, and where possible anticipate, the data needs of partner teams, and translate them into data models, reporting and technical requirements Define, build and manage key dbt pipelines that turn raw logs into canonical datasets Set data integrity standards and SLAs so data is delivered on time and accurately Build reliable dashboards that track core metrics and share insights across the company Build foundational data products, dashboards and tools that let self-serve analytics scale Partner with stakeholders to define and materialize metrics and analysis for new and evolving consumer products Shape Product teams' roadmaps from a data systems perspective Become an expert in our data models and data architecture You may be a good fit if you have Significant experience as a Data Engineer or in a similar Data Science & Analytics role, ideally partnering with Product leads to build and report on company-wide metrics A passion for Anthropic's mission of building helpful, honest and harmless AI Expertise building multi-step ETL jobs with tools like dbt, plus experience with workflow tools like Airflow and version control through GitHub Expertise in SQL and Python for turning data into accurate, clean data models Experience building reporting and dashboards in tools like Hex that serve multiple cross-functional teams A bias for action, and a sense of when "good enough" beats perfect An end-to-end mindset: you take ownership of solving a problem fully, even when that means picking up work beyond your usual scope Comfort with ambiguity, and a habit of creating clarity and forward progress Experience using AI to scale your own productivity and your team's without lowering the quality of the work Strong candidates may also have Experience building a data engineering (or similar) function from the ground up in an early-stage or fast-growing environment 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 — $405,000 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. The Vehicle Efficiency Engineering (VEE) team is responsible for vehicle-level attributes that directly impact efficiency, performance, and customer experience. Working closely with product development, manufacturing, testing, validation, and attribute teams, Efficiency Engineering plays a critical role in delivering efficient, high-performing vehicles that meet customer expectations and regulatory requirements. Through a combination of engineering expertise, data-driven decision-making, and cross-functional collaboration, the team influences key decisions from concept development through production launch and beyond. About the Role As a Technical Specialist, Vehicle Systems Modeling, you will define the modeling methods and cross-functional evidence used to answer vehicle-efficiency, architecture, and performance questions. You will lead CFD and coupled physical-system modeling across thermal, propulsion, charging, chassis, aerodynamic, and controls domains and connect models to instrumented test data. In your first 12 months, success means an adopted modeling strategy, correlated priority models, reproducible analysis workflows, and faster design decisions across vehicle programs. Lucid offers technical ownership of the evidence chain from first-principles models through vehicle-level decisions. What You Own Technical Leadership: Align hardware, software, controls, test, and program stakeholders; review critical evidence; mentor engineers; and present decision-ready recommendations. Modeling Strategy: Define fit-for-purpose methods, fidelity, assumptions, uncertainty, and sign-off criteria for vehicle-efficiency and physical-system models. CFD and Multiphysics: Lead targeted CFD and thermal-fluid simulations for HVAC, cooling, aerodynamic, and other vehicle systems and translate results into design decisions. Coupled Vehicle Models: Develop and integrate mechanical, electrical, and thermal models spanning batteries, drive units, inverters, chargers, chassis, HVAC, and controls. Engineering Workflows: Build reusable pre-processing, parameter-study, optimization, post-processing, version-control, and regression workflows using Python, MATLAB, or equivalent tools. Correlation and Validation: Partner with test teams on instrumentation and experiments, correlate models to physical data, quantify uncertainty, and close gaps to agreed criteria. Qualifications: Advanced hands-on capability with commercial CFD plus system-modeling and data-analysis tools. Passion for problem-solving, and curiosity to discover and understand. Proven technical leadership of model development, instrumented testing, model-to-test correlation, and cross-functional engineering decisions. Deep expertise in thermodynamics, fluid mechanics, heat transfer, numerical methods, and physics-based modeling. Bachelor's or higher degree in Mechanical Engineering, Aerospace Engineering, Automotive Engineering, Thermal Sciences, or in a related technical discipline. 8+ years of related experience with a bachelor's degree, 6+ years with a master's degree, or 3+ years with a PhD. Preferred: Experience and passion for hands-on work. Electric-vehicle modeling experience across batteries, drive units, inverters, charging, chassis, cooling, HVAC, or controls. Experience with ANSYS Fluent, Star-CCM+, OpenFOAM, reduced-order models, plant models, or coupled multidomain simulations using tools such as GT-SUITE, Simulink, AMESim, Python, or MATLAB. Experience with vehicle instrumentation, data acquisition, CAN data, test automation, and model correlation. Experience with Git, automated regression, reusable modeling standards, optimization, or high-performance-computing workflows. Work Requirement This role is fully onsite at our Newark, CA headquarters. 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. Salary Range : The compensation range for this position is specific to the locations listed below and is the range Lucid reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors. Base Pay Range (Annual) $166,500 — $244,200 USD 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 role Lucid is putting an AI layer over the systems that run our commercial and industrial operations, how we sell vehicles, how we service them, and how we move parts through a global supply chain. This role sets the technical direction for that work and is accountable for what reaches production. You will sit close to the business. Sales, Service and Supply Chain leaders will bring you problems, and you will decide what is worth building, design it, build the hard parts yourself, and lead a distributed engineering team to deliver the rest. This is a hands-on lead role, architecture and code, not a management track. What you'll do Own the architecture for LLM-based and agentic systems across Sales, Service and Supply Chain: assistants over enterprise knowledge, agents that act against internal APIs, document and data extraction pipelines, and the platform pieces they share. Deliver those systems into the channels our customers and employees already use: web and in-app chat, email and SMS. Own the conversational contract across them, including threading, context carry-over, handoff to a human, and tone appropriate to the channel. Turn business problems into engineering plans. Work directly with stakeholders to define the outcome, then sequence the work so value lands early and often. Build the parts that make AI safe to run in the enterprise: input and output guardrails, identity-aware access to tools and data, prompt governance, and clear trust boundaries between internal and external-facing surfaces. Own the tool layer, including MCP servers and internal tool interfaces, so agents reach business systems through contracts that are versioned, permissioned and testable. Define how quality is measured, including evaluation datasets, regression suites, tracing and production telemetry, and make it the default gate for prompt and model changes. Own the unit economics. Set targets for cost and latency per conversation and per resolution, and hold them through model routing, context trimming, caching, batching and right-sized retrieval. Integrate with systems of record: ERP, supplier portals, service and CRM platforms, logistics and planning systems. The interesting problems here are data, integration and correctness more than model choice. Set standards the wider team builds on , such as shared services, reusable patterns and review expectations, and make sure they hold up outside your own code. Lead technically across time zones, including close partnership with our engineering team in India. Mentor engineers, review designs, and be the person others bring their hardest problem to. Be honest about where AI helps and where it does not. Part of the job is preventing expensive detours. What you'll bring 10+ years building and operating production software, with 3+ years owning the technical direction of a team or a significant platform. Strong Python and solid distributed systems fundamentals. Comfortable owning services end to end, including what happens after they ship. Real production experience with LLM applications: retrieval-augmented generation, agent and tool-calling patterns, structured output, streaming, prompt design and iteration under load. Strong hands-on experience with LLM engineering tooling such as Langfuse or LangSmith , used for tracing, prompt versioning, evaluation runs and production monitoring, not only local experiments. Good working experience with MCP: building and consuming MCP servers, designing tool schemas, and handling authentication and permissions at the tool boundary. Practical command of LLM cost optimization: model routing and tiering, context and prompt compression, prompt caching, batching, token budgeting, and knowing which lever to pull when spend moves the wrong way. Experience delivering AI over customer and employee communication channels such as chat, email and SMS, and the integrations behind them. Judgment on the model landscape, across hosted models, managed services and fine-tuning, enough to make a defensible choice on cost, latency and accuracy and move forward. Strong AWS engineering (or equivalent): serverless and container workloads, event-driven design, IAM, networking basics, and a working sense of what things cost at scale. Experience with the data layer behind AI systems, relational, document and vector, and with keeping retrieval accurate as content and users grow. A concrete point of view on evaluating AI systems, and the discipline to build the harness before scaling the feature. Experience working with non-technical stakeholders and translating between business intent and system design. Nice to have Automotive, manufacturing, logistics or another operations-heavy domain background. Exposure to SAP, supply chain execution, EDI, or field service and CRM platforms. Hands-on work with messaging and contact center platforms such as Twilio, Amazon SES or Pinpoint, Salesforce Service Cloud, or similar. Security-sensitive AI work: prompt injection defense, tenant or supplier data isolation, red-teaming. Multi-agent orchestration, or experience running an evaluation program at scale. Experience leading distributed teams across US and India time zones. How we work Small teams with direct ownership and a short path from a business problem to a running system. We prefer working software and measured results over decks, and we expect engineers at this level to have opinions and defend them with evidence. Salary Range : The compensation range for this position is specific to the locations listed below and is the range Lucid reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors. Base Pay Range (Annual) $216,600 — $317,680 USD 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. Position Overview We are seeking an experienced Senior Engineering Manager, Data Platform and AI to lead the strategy, architecture, delivery, and operation of an enterprise data platform that ingests high-volume vehicle telemetry and enterprise systems data, integrates and curates it into trusted data products, and provides scalable, governed, AI-ready data foundations. This role will oversee teams building business-critical capabilities for engineering, manufacturing, supply chain, finance, sales, service, and corporate functions. The ideal candidate combines strong engineering leadership with deep technical expertise in data engineering, data quality, AWS, and Amazon Redshift. You will build and lead a high-performing team responsible for reliable batch and streaming ingestion, cross-domain data integration, identity resolution, data curation, governance, and platform operations at scale. What You'll Do Lead Data & AI Platform Engineering Define and execute the strategy and roadmap for enterprise data, telemetry, and AI platforms. Lead, mentor, and grow a high-performing team of data and platform engineers. Drive engineering excellence through automation, operational rigor, and modern development practices. Partner with business and technology leaders to deliver high-impact data products and capabilities. Build and Scale Data Platforms Own the architecture, reliability, performance, security, and cost efficiency of the enterprise data platform on AWS. Lead the design and operation of Amazon Redshift, including data modeling, distribution and sort strategies, workload management, scaling, performance tuning, access controls, and cost optimization. Develop and operate scalable data lakes, warehouses, streaming platforms, orchestration frameworks, and self-service data capabilities. Establish reusable platform patterns, data contracts, metadata standards, and automation that improve delivery speed and operational consistency. Lead Enterprise & Telemetry Data Engineering Build and operate high-volume, resilient batch and real-time pipelines that ingest vehicle telemetry and data from enterprise applications. Integrate and stitch telemetry with manufacturing, supply chain, sales, service, finance, customer, and master data to create consistent cross-domain views. Address schema evolution, late-arriving events, time-series processing, event ordering, data contracts, and vehicle-to-enterprise identity resolution. Curate governed, reusable data products and standardized business entities that support analytics, engineering diagnostics, machine learning, and Generative AI. Provide secure, reliable self-service access to trusted telemetry and enterprise data for engineering, data science, and business teams. Drive Data Quality, Governance, and Operational Excellence Define and enforce data quality standards, ownership, controls, and measurable SLAs across critical data products. Implement data profiling, validation, reconciliation, lineage, observability, anomaly detection, and root-cause remediation capabilities. Establish monitoring, incident management, disaster recovery, and service-level objectives for business-critical data services. Lead platform modernization, performance optimization, security, compliance, and cloud cost optimization initiatives. Required Qualifications Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. 12+ years of experience in data engineering, data platform engineering, distributed systems, or large-scale data technologies. 6+ years of experience leading engineering teams and delivering enterprise-scale, production data solutions. Deep hands-on expertise in Amazon Redshift, including dimensional modeling, distribution and sort strategies, workload management, query and storage optimization, security, scaling, and cost management. Proven experience integrating high-volume vehicle, IoT, connected-product, or telemetry data with enterprise transactional and master data. Strong knowledge of data quality management, including profiling, validation, reconciliation, lineage, observability, quality metrics, and remediation processes. Experience creating curated, governed, reusable data products and AI-ready datasets for analytics, machine learning, and Generative AI. Deep understanding of batch and streaming architectures, schema evolution, event processing, time-series data, data contracts, and distributed data systems. Strong AWS experience and hands-on knowledge of technologies such as S3, Glue, Lambda, Kinesis or Kafka, Airflow, Spark, IAM, Terraform, CI/CD, and observability platforms. Strong programming skills in Python and SQL, with experience in Java and/or Scala preferred. Strong software engineering foundation and experience operating secure, reliable, petabyte-scale data platforms in production. Excellent communication and stakeholder management skills, with the ability to translate business and AI use cases into scalable technical solutions. Why Join Us You will lead a strategic engineering organization responsible for connecting vehicle telemetry and enterprise data to create trusted, governed, AI-ready foundations. This is an opportunity to shape the AWS and Amazon Redshift data platform, improve data quality and accessibility at enterprise scale, enable advanced analytics and AI, and develop a world-class engineering team. Salary Range : The compensation range for this position is specific to the locations listed below and is the range Lucid reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors. Base Pay Range (Annual) $211,400 — $310,090 USD 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. The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation. 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: Define research goals, setup dataset and training code to hill-climb the model performance, analyze the results and define the next sets of experiments Write a good document for communicating with team members Able to use the feedback from the team members to adjust the setup, experiments, and research directions You have: Currently pursuing a PhD in Computer Science, Robotics, Machine Learning, or a related quantitative field Knowledge of pre-training and post-training of the large foundation models Hands-on experience of training modern AI models Good analytical skills and interpret experiments results and forming verifiable hypothesis Write a bug-free code, and able to implement correct software without much guidance We prefer: Have a solid research background in robotics or self-driving cars Familiar with modern AI infrastructure and tooling such as pytorch, jax, and comfortable in working on cluster/server environments Have a strong research skill and publish several papers in top conferences 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
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. The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation. 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: Design, implement, and benchmark a system where LLM meta-agents generate, synthesize, and iteratively refine reward functions for autonomous driving planning policies Diagnose policy failure modes, reward exploitation, and multi-objective trade-offs, integrating findings back into the automated discovery loop Collaborate with scientists engineers to transfer validated reward formulations and tooling into planner recipes Document research outcomes, distill key design patterns, and prepare findings for internal tech transfers and potential conference publication You have: Currently pursuing a PhD in Computer Science, Robotics, Machine Learning, or a related quantitative field Strong hands-on experience in Reinforcement Learning (RL / RLFT) and training deep learning policies with PyTorch or JAX Demonstrated proficiency in Python and modern ML engineering practices Familiarity with autonomous vehicle planning, trajectory optimization, or sequential decision-making under uncertainty We prefer: Track record of peer-reviewed publications at top AI/robotics conferences (e.g., NeurIPS, ICRA, IROS, CoRL, ICML, ICLR, CVPR) Experience with LLM-guided code generation, automated reward discovery (e.g., Eureka-like frameworks), or meta-RL methods Hands-on experience with RL or RLFT training in LLM/VLM/robotics Proven ability to independently drive an exploratory research problem from ideation to implementation and results 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