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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 You will play a critical role in scaling our revenue by managing complex deals and developing standardized processes that balance speed with control. You'll work at the intersection of finance, sales, and legal teams to ensure our products reach customers to support Anthropic's rapid growth while maintaining the financial discipline and risk management practices essential for a frontier AI company. You'll have the opportunity to build scalable processes from the ground up and directly impact some of our most strategic customer relationships. Key responsibilities Financial Analysis: Conduct growth and margin analysis, discount impact assessment, and deal profitability modeling to support data-driven decision making Deal Structure Optimization: Collaborate with sales teams to structure deals that meet customer needs while protecting Anthropic's financial and strategic interests Deal Review and Approval Management: Review and analyze enterprise deals exceeding standard parameters, focusing on pricing structures, contract terms, and financial implications Cross-Functional Coordination: Serve as the primary liaison between sales, finance, legal, and compliance teams throughout the deal lifecycle, ensuring smooth coordination and timely approvals Risk Assessment: Evaluate potential risks in non-standard deal terms and escalate appropriately to senior stakeholders Policy Implementation: Help develop and maintain deal approval policies, pricing guidelines, and exception handling procedures aligned with company objectives Process Development: Create and refine approval workflows, escalation procedures, and standardized templates that enable efficient processing of complex deals while maintaining appropriate controls Documentation and Reporting: Maintain comprehensive deal documentation and provide regular reporting on deal strategy metrics, trends, and performance Minimum qualifications Experience in deal strategy, deal desk, finance, sales strategy and operations, or related analytical roles, preferably in a high-growth technology environment Possess hands-on experience building sophisticated financial models, conducting pricing optimization, and structuring complex deals Have excellent communication and stakeholder management abilities, with proven success coordinating across multiple departments Are detail-oriented with strong process improvement instincts and the ability to design scalable workflows Have experience with CRM systems, CPQ tools, and contract management platforms Can work effectively in fast-paced, ambiguous environments while maintaining accuracy and attention to detail Have a collaborative mindset and enjoy solving complex problems through cross-functional partnership Preferred qualifications Have 5+ years of relevant experience Experience at a SaaS, cloud, or AI/ML company with complex enterprise sales cycles Background in consulting, investment banking, or other roles requiring deep analytical and strategic thinking Experience with deal desk operations at companies with subscription and consumption-based business models Knowledge of enterprise software contract terms and industry-standard commercial practices Understanding of AI business models and the unique commercial considerations 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 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 AI is changing what security teams can do. Claude can find and help fix vulnerabilities in code at a pace that wasn't possible a year ago, and we want defenders to have that advantage first. As a Cybersecurity Sales Specialist, you'll own Anthropic's security business across the accounts in one of our business units, such as financial services, healthcare and life sciences, or technology. You'll lead the security strategy with CISOs, partnering with the Account Executives who own the accounts in your industry to drive opportunities and put Claude to work on their hardest security problems. You'll help decide how we sell security, what we learn from customers, and how that shapes our products. The work matters to our mission: a safe transition through transformative AI depends on the people who defend critical systems being able to use it well. Responsibilities: Build and close security business, from the first conversation with a CISO's team through contract and expansion, working with the Account Executive who owns each relationship Create security pipeline with the Account Executives in your industry, from their existing accounts and through outbound to security leaders, events and joint work with partners Lead with the customer's problem: finding and fixing vulnerabilities, application security, security operations, and deploying AI agents securely Partner with your Applied AI engineers on discovery, proofs of concept and architecture, and know when to bring them in Guide customers through security reviews, verification for security use cases, and procurement Teach the Account Executives in your business unit to spot and qualify security opportunities Bring what you hear from security teams back to our product, safeguards and marketing teams You may be a good fit if you: Have closed complex, multi-stakeholder enterprise deals where the security organization was the buyer or the deciding approver Have worked as a specialist alongside account teams while carrying your own number, and can say exactly what you did to win the deal Can hold credible conversations with a CISO, an application security lead and a security engineer about how their work gets done Have deep experience in at least one security domain, such as application security, vulnerability management, security operations, cloud, data, identity or endpoint security Build pipeline where there's no playbook yet, through outbound and partners rather than inherited accounts Lead through influence, not authority: Account Executives bring you into their accounts because you help them win Sell consultatively: you understand the problem before you propose anything, and you're honest about what a product can't do Care about making AI systems safe and beneficial Strong candidates may also have: Experience selling security in one of the industries we cover, and an understanding of how security is bought and regulated there Experience selling AI, developer or data platform products to technical buyers Hands-on experience as a security practitioner or sales engineer before moving into sales 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: $380,000 — $450,000 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. Program Overview Many of the questions that will shape our future have no single checkable answer. Reasoning well about them, whether in law, policy, philosophy, economics, cognitive science, or AI safety itself, takes the kind of judgment experts spend years building. We believe frontier AI, developed safely, can become a real partner on these questions, but getting there means working closely with the people who know these fields best. This fellowship brings researchers and experts from philosophy, cognitive science, economics, policy, and law into Anthropic for four months to work alongside our research teams. Fellows pair deep domain expertise with our frontier models and internal tooling to evaluate, improve, and apply Claude's capabilities in their field. What to Expect: A concrete, scoped project matched to your background, with mentorship from Anthropic researchers. Access to frontier Claude models and internal evaluation tooling. A cohort of incoming Fellows to collaborate with and a connection to Anthropic's broader research community. Compensation:  $100,000–$167,000 USD for the four-month fellowship (equivalent to $300,000–$500,000 USD annualized), and other benefits. Key responsibilities Identifying key open problems in your field, assessing approaches to solving them, and using Claude to make progress on them. Identifying grand societal challenges which the expertise of your field is crucial for addressing, and assessing Claude's strengths and weaknesses in tackling them. Designing evaluations and RL environments that test models in your field systematically, turning your expertise into working tests of how well Claude reasons in your field. Team up with other Fellows in your field to build environments that push Claude on the hardest, most judgment-heavy problems your discipline has to offer. Minimum qualifications Are excited about the potential for AI to reason well about hard questions in their field where expert judgment matters. Hands-on experience using Claude and Claude Code in your day-to-day workflow. Hold (or are completing) a PhD in philosophy, cognitive science, economics, policy or law, or have equivalent research experience. Are comfortable working in a fast-paced, high-agency atmosphere for a few months and delivering concrete results. Existing authorization to work in the United States for the duration of the program. Preferred qualifications Experience designing evaluations, benchmarks, datasets, or expert rubrics. Demonstrated expertise in your field, shown through research, scholarship, or expert-level analytical writing. Representative projects A philosopher building hard cases that require normative judgment in ethics or formal epistemology. A cognitive scientist designing experimental-design and model-comparison tasks. An economist writing modelling and identification problems with ground truth. A policy scholar drafting regulatory and cost-benefit analysis tasks with expert rubrics. A legal scholar building AI-policy-relevant law datasets. Logistics - Fellows The program runs from January 12th to May 8th 2027 , and is full-time for the duration; some fellowships may be considered for an extension.  Applications are open until October 28, 2026 , and we plan to make offers by November 20th. Later stages will typically include a take-home exercise and conversations with our research team and potential mentors about your research interests and possible project directions. We ask that all Fellows attend a one-week in-person orientation in San Francisco. The default location is in San Francisco. We will consider remote engagements within the United States in certain circumstances. We are not currently able to sponsor visas for fellows. To participate in the Fellows program, you need to have or independently obtain full-time work authorization in the United States. This is a fixed-term contract position. Fellows are engaged through an employer of record, rather than employed directly by Anthropic. The below are Anthropic's policies for full time roles. These do NOT apply to the Fellows Program. 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. NVH Repair Technician About the Team The Manufacturing Quality team plays a critical role in delivering world-class vehicles that exceed customer expectations. This team is responsible for identifying, diagnosing, and resolving vehicle quality concerns with a relentless focus on craftsmanship, attention to detail, and continuous improvement. Working cross-functionally with Production, Quality, Engineering, and Service organizations, the team ensures every vehicle meets Lucid's standards for luxury, innovation, and performance. About the Role Lucid is seeking an experienced NVH Repair Technician (Noise, Vibration, and Harshness) to support vehicle quality initiatives by diagnosing and repairing concerns related to squeaks, rattles, vibration, wind noise, and water intrusion. This hands-on role requires strong automotive diagnostic and repair expertise, exceptional attention to detail, and the ability to identify and resolve difficult-to-duplicate vehicle issues. The ideal candidate is passionate about vehicle craftsmanship and committed to delivering premium quality standards. All repairs must be completed in accordance with approved work instructions, safety requirements, and Lucid quality expectations. What You'll Do Inspect vehicles for reported squeaks, rattles, vibration, wind noise, and water leaks. Perform stationary evaluations and authorized road tests to verify and reproduce customer-reported concerns. Diagnose root causes of NVH and water-intrusion issues using systematic troubleshooting techniques. Repair squeaks and rattles involving interior trim, instrument panels, seats, doors, consoles, headliners, body panels, fasteners, clips, seals, and related vehicle components. Perform approved adjustments, resealing, insulation installation, padding application, component replacement, and other corrective actions. Conduct water-leak testing using approved procedures and diagnostic equipment. Inspect weatherstripping, seals, glass, body seams, doors, liftgates, and other potential water-entry points. Remove and reinstall interior and exterior vehicle components as necessary to access and repair affected areas. Verify repair effectiveness through functional testing, water testing, and follow-up NVH evaluations. Ensure repairs do not create cosmetic defects, warning lights, additional damage, or secondary concerns. Protect vehicle interiors, painted surfaces, glass, and other customer-facing components throughout the repair process. Document inspection findings, root causes, repairs performed, materials utilized, and final verification results accurately. Escalate recurring defects, significant quality concerns, and repair limitations to Quality and Manufacturing leadership. Maintain tools, equipment, materials, and work areas in a clean, safe, and organized condition. Follow all safety regulations, quality requirements, and standard operating procedures. Support additional quality, inspection, and repair activities as needed. Qualifications High school diploma or GED required. 2+ years of automotive diagnostic, repair, trim, body, dealership, manufacturing, or quality technician experience preferred. Experience diagnosing and repairing squeaks, rattles, wind noise, water leaks, or other NVH-related concerns strongly preferred. Ability to remove and reinstall interior and exterior vehicle components without causing damage. Working knowledge of automotive fasteners, clips, weatherstripping, adhesives, seals, insulation materials, and sound-deadening systems. Experience using hand tools, power tools, diagnostic equipment, and testing devices safely and effectively. Ability to read and interpret work instructions, technical procedures, diagrams, and quality standards. Strong troubleshooting, diagnostic, root-cause analysis, and problem-solving skills. Excellent attention to detail and commitment to delivering high-quality workmanship. Ability to communicate effectively and document findings accurately. Valid driver's license with an acceptable driving record when vehicle operation or road testing is required. Ability to work independently and collaboratively in a fast-paced manufacturing environment. Flexibility to support overtime, alternative schedules, and evolving business needs. Preferred Qualifications Experience within an automotive OEM, assembly plant, prototype facility, dealership, or vehicle quality organization. Experience supporting luxury vehicle or electric vehicle manufacturing environments. Familiarity with advanced NVH diagnostic techniques and water-intrusion testing methods. ASE certification or related technical training. Experience utilizing electronic inspection, repair order, or quality reporting systems. Knowledge of EV systems and high-voltage safety practices. Physical Requirements Ability to stand, walk, bend, kneel, crouch, reach, and work in confined vehicle spaces for extended periods. Ability to repeatedly enter and exit vehicles throughout the workday. Ability to lift and carry tools, materials, and components weighing up to 50 pounds. Ability to perform repetitive hand movements and safely operate hand and power tools. Ability to visually inspect vehicle surfaces, components, seals, and interior areas under various lighting conditions. Ability to work in a manufacturing environment with exposure to noise, moving equipment, and varying temperatures. PPE Expectations Must wear required personal protective equipment (PPE) including safety glasses, protective footwear, hearing protection, gloves, and any additional equipment required by Lucid safety standards. Work Requirement This position is an onsite role supporting manufacturing and vehicle quality operations. Schedule flexibility, including overtime and weekend support, may be required based on production and business needs. Language Requirement 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.   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. At Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility.   We plan to lead in this new era of luxury electric by returning to the fundamentals of great design – where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience.   Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we're providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you. As a  Service Technician , you will be responsible for diagnosing, maintaining and repairing Lucid Motors vehicles.  You will demonstrate your passion for sustainable transportation and creatively solve problems in a fast-paced environment.   As a Service Technician, it is expected to have ASE certifications obtained within 6-8 months of hire date.     Lucid will reimburse the cost associated with successful completion.     Responsibilities: Confidently repair basic and major mechanical issues and perform basic electrical and mechanical diagnosis Maintain a high knowledge level of High Voltage (HV), Low Voltage (LV), and general electric vehicle systems Follow correct repair order documentation procedures, i.e. The Three C's Effectively work with the appropriate software suite to properly and completely document all customer vehicle interactions Effectively communicate and collaborate with other members of the service team (i.e., advisor, manager, etc.) as well as customers. Ability to demonstrate and teach learned technical skills/knowledge with others Demonstrate attention to detail and passion for creating positive client experiences Ability to work remotely and support mobile service team as needed Other duties as assigned   Qualifications: 2-5 years of experience as an automotive service technician, including previous experience with EV/HEV diagnosis and repair Knowledge of High Voltage systems, Low Voltage systems, and Electric Vehicle powertrains Customer facing experience exhibiting excellent written and verbal communication skills  Ability to use applications such as Microsoft Office as well as learn proprietary DMS software EPA 609 Certification Willingness to complete Lucid provided CPR training post hire Valid driver's license with no suspensions within the past year.   Drivers under 21 must have maintained a Driver's License for a minimum of 3 years and successfully complete Lucid Training upon hire   Preferred Qualifications:   ASE Certifications (A4, A5, A6, A7, A8, L3, L4 - ADAS) Experience in luxury automobile repair environments.   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 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 (hourly) $31 — $43 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. Passionate about aesthetics and product innovation, Waymo's Industrial Design Team is responsible for envisioning the future of mobility and autonomous driving technology. The Design Team develops and applies cohesive design language to the Waymo Driver, delivering an exceptional customer experience with best-in-class product quality. The Industrial Design Team creates smart and elegant solutions that pave the future of mobility while prioritizing our riders' needs & safety. We are involved in every step of the engineering and product development process to optimize Waymo's technology and delight the rider's journey. The team is a unique fusion of creatives and innovators with the opportunity to pioneer a new industry. This role follows a hybrid  work schedule and you will report to Head of Product and Customer Research. You will: Own vehicle design outcomes for major vehicle platforms and interior collaborations, translating product requirements and user insights into vision/concept work as well as production-feasible designs Drive vehicle design execution through the vehicle development lifecycle; from early packaging and concept sketches to clay/digital modeling, gateway milestones, and final release Champion Waymo's design language across vehicle partnerships, ensuring aesthetic cohesion, brand identity, and rider awareness while accommodating complex hardware constraints Partner with vehicle engineering, tooling specialists, and automotive suppliers to resolve complex manufacturing, packaging, and assembly challenges without compromising design intent Set the bar for design craft, modeling fidelity, and execution across the studio, providing informal technical mentorship and optimizing team development workflows You have: 8+ years of hands-on design experience within automotive OEM design studios on dedicated production vehicle programs Proven experience taking production vehicle programs from initial sketch through tooling and volume manufacturing Expertise in rapid ideation sketching, digital rendering, and 3D modeling tools (e.g., Alias, Rhino, SolidWorks), with a strong foundation in automotive Class-A surfacing and physical mockups Deep knowledge of vehicle packaging, body structures, stamping, injection molding, draft angles, and safety/ergonomic compliance (FMVSS/ECE) Demonstrated the ability to lead complex design workstreams, influence engineering and product partners, and clearly communicate design rationale to cross-functional leadership Bachelor's or Master's degree in Industrial Design, Transportation Design, or equivalent practical experience, backed by a portfolio showcasing production-intent vehicle design and refined craftsmanship We prefer: Exposure to multiple OEM design studios or innovative mobility startups, bringing diverse perspectives on studio workflows and program timing Versatility designing both exterior vehicle surfaces/aerodynamics and cabin interior architecture, seating, and touchpoints Travel requirements : Ability to travel domestically and internationally up to 15–20% as needed to visit automotive OEM partners, design modeling studios, tier-1 suppliers, and assemb   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 $230,000 — $284,000 USD

Who we are Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale. Working at Samsara means you'll help define the future of physical operations and be on a team that's shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you'll have the autonomy and support to make an impact as we build for the long term. About the role Maps are part of nearly everything Samsara builds. Vehicles, routes, sites, assets, and safety workflows all depend on knowing where things are and how the physical world fits together. The Maps team is building the shared geospatial platform that makes that possible. We source, ingest, enrich, and serve the map data that Samsara's product teams use every day: from road networks and points of interest to addresses, boundaries, and customer-specific map context. Our customers are the engineers building products for millions of workers and the businesses that depend on them. When our data and APIs are accurate, reliable, and easy to use, every team building location-aware experiences at Samsara moves faster. We're hiring a Staff Software Engineer to help set the technical direction for this platform. You'll work across the geospatial stack: building data ingestion and processing pipelines, modeling and serving map data, improving map matching and routing foundations, and creating APIs that make spatial capabilities reusable across Samsara. It's a small team with broad ownership, and the systems you build will become foundational infrastructure for teams across the company. This role is remote and open to candidates based in the US.   You might be a good fit if: You enjoy working with internal and external customers to iterate and build software platforms You care about what Samsara does. The software we build helps keep grocery shelves stocked, lights on, and workers safe on the job. You work with urgency and think through the best solutions for the opportunities, requirements, and scale in front of you. You work well with others. We move faster when we move together. In this role, you'll: Shape the technical direction of the Maps teams Build geospatial systems and integrations that support foundational features across most Samsara products. Scale our offerings to continue to support storage, query and computational load of the real-time features dependent on them Consolidate existing team-specific geospatial solutions into scalable platform-wide offerings. Build agentic solutions that allow our customers to self-serve the data they want to see how they want to see it. Raise the technical bar through code reviews, design discussions, and mentorship Partner with engineering leadership on the bets worth making, and be honest about tradeoffs Represent Samsara externally when it makes sense — talks, open source, community engagement with the mapping/geospatial ecosystem Live out our cultural principles: Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, and Win as a Team Minimum requirements: Bachelor's degree in Computer Science, Engineering, or equivalent practical experience 8+ years building software, with at least 2 years in an architect or technical leadership role Strong programming and design fundamentals 4+ years working on large-scale distributed systems 4+ years leading technical projects across multiple teams Nice to have: Experience with GIS technologies and spatial analysis, including PostGIS, spatial SQL, GeoPandas/Shapely, QGIS, and geospatial data validation Familiarity with geospatial data formats and open mapping ecosystems, including GeoParquet, OpenStreetMap (OSM), and OSM PBF; experience ingesting, transforming, validating, or serving these datasets Comfort working in ambiguity and getting teams aligned without needing formal authority The compensation range shown spans approved pay zones for this role. Your primary work location determines the range applicable to you, which may be narrower than the full range displayed. The range of annual base salary for full-time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job-related knowledge, skills, and experience. This role is also eligible for an initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance, subject to plan terms and conditions. Learn more about our total rewards and benefits below. Annual Base Salary $162,400 — $290,000 USD Total Rewards At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time. Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you're ready to build for the long term and own the outcome, your journey starts here. Flexible Working  At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual's ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable. Belonging at Samsara At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact. Accommodations  Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email accessibleinterviewing@samsara.com or click here if you require any reasonable accommodations throughout the recruiting process. Our Commitment to Authenticity We use Tofu , a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates. Please see Samsara's Candidate Privacy Notice for more information. Fraudulent Employment Offers Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in @samsara.com, @us-greenhouse-mail.io or @mail3.guide.co. For more information regarding fraudulent employment offers, please visit our  blog post here .

Who we are Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale. Working at Samsara means you'll help define the future of physical operations and be on a team that's shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you'll have the autonomy and support to make an impact as we build for the long term. About the role: Samsara's Product Operations team is looking for a hands-on builder to join our Platform team and help accelerate our enterprise-ready roadmap. You will support the Billing, Org & Auth, and Security product teams, working closely with R&D leaders to turn ambiguous questions into rigorous analyses, repeatable workflows, and internal tools used across our Product and Engineering organization. You move ARR. Not "contribute to." Revenue (or an equivalent business result) grows because of decisions you made . You might investigate why enterprise customers stall on a security or permissions requirement, combine signals from thousands of support tickets and customer conversations to find what's blocking expansion, or build a dashboard that helps hundreds of product managers and engineers see how platform gaps translate into pipeline and retention risk. This is an individual-contributor role for someone who has already shown they can build and ship. You do not need a technical background. However, you do need to use modern AI and development tools to move beyond a prototype: work with data, write and debug code using AI, validate the results, put a useful tool in front of users, and improve it until people trust and rely on it. This is a remote position open to candidates based in the United States and Canada. Relocation assistance will not be provided for this role. You should apply if: You want to impact the industries that run our world: Your efforts will help keep the lights on, get food into grocery stores, reduce emissions, and, most importantly, ensure workers return home safely. You are the architect of your own career: If you put in the work, this role won't be your last at Samsara. We set you up for success and have built a culture of rapid career development, with countless opportunities to experiment and master your craft in a hyper-growth environment. You're energized by our opportunity: Our vision to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers. You want to be with the best: At Samsara, we win together, celebrate together, and support each other. You will be surrounded by a high-caliber team that encourages you to do your best. You measure yourself by revenue outcomes: You want your work tied directly to ARR, and you're accountable for the result, not just the activity. In this role, you will:   Drive ARR through platform decisions. Identify the enterprise-readiness gaps that most limit new business, expansion, and retention, and shape prioritization so that fixing them measurably moves ARR. Accelerate enterprise-ready delivery by partnering with the Billing, Org & Auth, and Security product teams to define priorities, remove blockers, and track progress against the commitments customers and Sales are waiting on. Build and ship internal data and AI products that help Product and Engineering teams understand platform usage, customer friction, and the highest-impact opportunities to improve. Analyze large volumes of structured and unstructured data, including product telemetry, support tickets, customer conversations, feature requests, surveys, and product metadata, to find patterns that would be difficult to see manually. Turn one-time analyses into reliable, repeatable tools and workflows with clear data definitions, quality checks, documentation, and feedback loops. Translate complex findings into clear, decision-ready recommendations for R&D leadership, while preserving the evidence and methodology behind them. Quantify the revenue impact of platform investments and report on it, so every roadmap bet has a clear, defensible ARR case before and after launch. Own projects end to end: scope the problem, identify and connect the right data, build the first version, launch it, measure adoption and business impact, and continue improving it. Use AI-assisted development tools thoughtfully, checking outputs, debugging failures, and applying sound judgment rather than treating generated work as automatically correct. Champion, role model, and embed Samsara's cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices. Minimum requirements for the role: 8+ years of professional experience in a role such as product operations, data or product analytics, business operations, consulting, technical product management, or another environment where you solved ambiguous problems with data and technology. A demonstrated record of building and shipping something useful for real users, such as an internal tool, application, dashboard, automation, data product, or repeatable analytical workflow. A track record of connecting your work to revenue or an equivalent business result (ARR, retention, expansion, cost), and the ability to show how your decisions caused it. Experience structuring and analyzing messy or large datasets, validating the results, and explaining what the analysis does and does not prove. Strong product and customer judgment: you start with the user problem and business outcome, not the technology. Clear written and verbal communication. You can explain technical or analytical work to non-technical partners and executives without losing the important details. High ownership, curiosity, and attention to detail. You are comfortable learning quickly, asking sharp questions, forming a point of view, and iterating through ambiguity. An ideal candidate also has: Experience in a B2B technology company or working closely with Product and Engineering teams. Experience in Product Operations functions: defining and tracking product roadmaps and feature requests, and bringing the voice of the customer to every product conversation. Familiarity with enterprise platform domains such as billing and monetization, identity, access, and org management, or security and compliance, and with what enterprise buyers require in each.   The compensation range shown spans approved pay zones for this role. Your primary work location determines the range applicable to you, which may be narrower than the full range displayed. The range of annual base salary for full-time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job-related knowledge, skills, and experience. This role is also eligible for an initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance, subject to plan terms and conditions. Learn more about our total rewards and benefits below. Annual Base Salary $126,000 — $202,500 USD Total Rewards At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time. Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you're ready to build for the long term and own the outcome, your journey starts here. Flexible Working  At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual's ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable. Belonging at Samsara At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact. Accommodations  Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email accessibleinterviewing@samsara.com or click here if you require any reasonable accommodations throughout the recruiting process. Our Commitment to Authenticity We use Tofu , a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates. Please see Samsara's Candidate Privacy Notice for more information. Fraudulent Employment Offers Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in @samsara.com, @us-greenhouse-mail.io or @mail3.guide.co. For more information regarding fraudulent employment offers, please visit our  blog post here .