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About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We are hiring a Technical Program Manager to lead high priority safety and security programs which advance defense in depth for agents, which we have written about publicly .  You will be the lead TPM coordinating work across teams to strengthen how we develop and deploy agents safely and securely, and to bring what we build internally to customers and partners so everyone has the tools to safely and securely use Claude. You will be responsible for leading meetings with executives and technical leads, maintaining complex project plans, identifying and addressing risks, developing metrics, and communicating to the company and our customers about this work.  Responsibilities: Maintain the roadmap - Maintain and extend the existing roadmap for all work contributing to this effort across the company and implement approaches to ensure accuracy and relevance amidst a fast operational tempo. Turn program goals into measurable exit criteria at each phase of the work - To do this well you'll need to be responsive to new developments in capabilities and the threat landscape, both of which are evolving fast. Maintain key metrics and dashboards. Run the operating rhythm - Chair the leads meetings, working group meetings, design reviews, and executive check-ins. Record decisions and actions, disseminate sitreps quickly and regularly, and follow up until open issues close. Lead executive and contributor communication - Drive conversations, write regular reports, contribute to design documents, and produce decisional documents as needed. Say plainly what is on track, what is not, and where help is needed. Maintain the risk register - Track risks, exceptions, and risk acceptances in one place and bring hard calls to the right decision maker. Drive company-wide communications - Partner with internal communications on progress updates and on rollouts that change how employees work with Claude every day. Lead through other TPMs - Coordinate subject matter specific TPMs and engineering managers who do not report to you. Set shared standards, spot coverage gaps, and step in to augment capacity where needed.  Take coordination load off technical leaders - Find owners for cross-team problems, frame tradeoffs across Security, Safeguards, Research, Privacy, Legal, and Product, manage staffing tasks, and organize exercises that test our controls. Maintain industry context - Track relevant incidents, capabilities shifts, and research across frontier labs, and understand the key risks they reveal. Bring those lessons into our threat model, roadmap, and risk register. You may be a good fit if you: Have led company-wide technical programs, especially a company-wide security program, with multiple workstreams, executive sponsors, and other program managers rolling up to you.  Have a strong background in at least one of the program's domains: agent or infrastructure security, ML classifiers and monitoring, evaluations, inference infrastructure, protecting an organization's most sensitive data, or shipping security controls to customers. You know the terminology and can ramp up on the rest quickly. Have worked closely with ML research teams and understand how models are trained and evaluated. Work independently. You set direction without waiting for instructions and know when to make decisions and when to escalate. Can command a room and hold senior engineers, researchers, and executives accountable without formal authority. Write clearly and fast for any audience, from a one-page executive brief to a company-wide announcement. Use AI tools like Claude to automate tracking, reporting, and follow-up. Care about AI safety and want to help keep powerful systems under human oversight. Have 10+ years of experience in one of the aforementioned areas.  Deadline to apply: None, applications will be received on a rolling basis. Annual Salary: TBD with Recruiting. 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: $365,000 — $435,000 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 Every dollar Anthropic earns and every dollar it spends on compute has to reach the books correctly, and the volume grows with Claude usage. That data comes from across the company and from partners: usage and billing, compute, infrastructure assets, leases. Products and pricing models keep launching, and each one adds another path into the books. Our goal is a continuous close with zero material issues, with audit-grade controls. You'll build the platform that gets us there: one front door for every finance event, an append-only ledger, and an accounting engine that posts each event exactly once. This is a distributed systems problem with an unusually high correctness bar. The system has to be right to the cent, replay cleanly and explain any number as of any date, at that volume. You will shape its architecture. Its users include Claude agents, which read and write through the same APIs and controls as people. You'll work closely with SWEs in Billing, Compute and Infra on shared contracts and APIs, and with product owners, finance operations and internal audit to turn accounting and controls requirements into designs. You don't need a finance background. If you have built backend systems where correctness matters, we will teach you the domain. Responsibilities Design and build the front door into finance and its governed contracts: APIs for apps and agents, an event bus for systems that publish, adapters for vendor apps and reports, data-quality gates, and processing that posts every event exactly once, with replay and backfill Drive the build of the accounting ledger and engine: an append-only ledger with idempotent posting, a rules framework that turns business events into journal entries, translation into the ERP, and period locks Design and build the SDKs and frameworks that finance apps and agents build on Build controls into the platform as code: immutable audit trail, maker-checker, scoped access and segregation of duties Build and run the production services that other engineering teams call in real time, such as the tax and collections services in the billing flow, and own their reliability: uptime, latency, throughput and correctness targets agreed with those teams Shape the platform's technical direction: architecture, engineering standards and design reviews Minimum qualifications Strong backend engineering in a statically typed language such as Go, Java or Rust, or Python at scale Experience designing and running high-volume, event-driven systems (publish/subscribe, streaming) with idempotent processing, replay and backfill Experience designing relational data models and writing SQL for complex, versioned data Experience designing APIs, SDKs and service-to-service integrations used by other teams Experience building systems with auditability, access control or compliance requirements Experience turning requirements from non-engineering partners into technical designs Strong written and verbal communication, including design docs Preferred qualifications 10+ years of experience Experience building developer platforms or paved paths Experience with streaming systems such as Pub/Sub or Kafka Experience building with LLMs and agents, including MCP Built a ledger, sub-ledger, billing or payments system Familiarity with accounting concepts: double-entry, journal entries Familiarity with internal controls and audit concepts: audit trails, segregation of duties, change management Exposure to ERP or financial systems, such as Workday Financials 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 RL teams Our Reinforcement Learning teams lead Anthropic's reinforcement learning research and development, playing a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of Claude Fable 5.1 and Claude Opus 5.5. Our work spans several key areas: Developing systems that enable models to use computers effectively Advancing code generation through reinforcement learning Pioneering fundamental RL research for large language models Building scalable RL infrastructure and training methodologies Enhancing model reasoning capabilities We collaborate closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and safe. We partner with the applied production training team to bring research innovations into deployed models, and are dedicated to implementing our research at scale. Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the boundaries of what AI can accomplish. About the role We're hiring for the Code RL team within the RL organization. As a Research Engineer, you'll advance our models' ability to design silicon. Hardware design is difficult and unforgiving – exactly the sort of domain we want Claude to excel at. You'll leverage your chip design expertise and turn it into tasks and signals for models to learn from. Specifically, you will: Invent, design, and implement RL environments and evaluations for agentic RTL generation, design (including formal) verification, physical design optimization. Work on cross-cutting RL considerations such as EDA-tool latency optimization and proxy rewards. Conduct experiments and shape our roadmap. Deliver your work into research and production training runs. Collaborate with other researchers and engineers across and outside Anthropic. You may be a good fit if you: Have expertise in ASIC or FPGA design: RTL, design verification (UVM, formal methods, coverage-driven), physical design (synthesis, place-and-route, timing closure), PPA optimization, DFT, ECOs. Are fluent with industry EDA tools and processes. Have taped out chips and have experience going from spec to silicon. Know how to balance research exploration with engineering implementation. Are passionate about AI's potential and committed to developing safe and beneficial systems. Strong candidates may also have: Experience with reinforcement learning, evaluations or environments. Built tooling or automation around chip design flows. Worked on ML accelerators or high-performance compute hardware. Familiarity with high-level synthesis or architecture simulators. 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: $500,000 — $850,000 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 We are hiring our first Sydney-based Product Support Specialists, who will grow our global presence as a team and serve as champions of our unique support brand. You'll be at the front lines of safely delivering AI to the world by responding to, investigating, and tracking user needs in your day-to-day. Additionally, you'll help us identify and close gaps in our team's technical knowledge, provide high-touch support to strategic customers, and demonstrate deep care for how we systematically support customers at scale. Note: Specialists in Sydney will work 12pm to 8pm, Monday to Friday. Responsibilities Become an expert in all Anthropic products Respond to user support cases with a variety of complexity, from simple billing or account questions for individuals to complex API debugging for large businesses Clearly and empathetically communicate with a wide range of user personas, context-switching between guiding executives in a high-touch model and assisting consumer users at a rapid pace Manage on-call tasks for high-urgency user issues with extreme ownership. This includes being on critical "pager duty" during APAC hours to ensure 24/7 support for critical queries Prioritize critically and comfortably adapt to an ever-evolving product landscape Operate in ambiguity, making informed decisions even in never-before-seen situations Partner with engineers, teammates, and other internal stakeholders to diagnose and resolve user issues, both individually and at scale Suggest and drive improvements to increase user satisfaction through support processes, as well as own initiatives that increase efficiency and drive down contact rates Uplevel our team's technical knowledge by scoping gaps, working with cross-functional partners to deeply understand relevant nuances, and building resources that grow with our products You may be a good fit if you Have experience in providing technical product support within a second-tier, escalated, or priority support team Are familiar with APIs and technical SaaS products and can deeply understand technical docs with ease Have demonstrated an ability to thrive in fast-paced, reactive situations while meeting core support metrics targets (e.g., CSAT, SLA, etc.) Possess strong user empathy and are expert in the lifecycle of a support case; you can read between the lines of a user's question, put yourself in their shoes, and get at the heart of their needs for a speedy, satisfying resolution Have crisp but kind written communication skills and a deep care for the details Enjoy helping others learn about new features and complex concepts Are persistent and curious; you delight in the hunt of tracking down a bug or issue, and are energized by fixing this for all similar users going forward Have experience contributing to the foundations of a support team. This is essential, highly valuable, but often unglamorous work, and it is particularly key for this role due to it being among the first Support hires in APAC/ANZ Are proficient at working in a technical environment and are interested in Anthropic's products Possess a deep sense of ownership, and are excited to help us build our team! 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 Product Manager, Technical, you will own and be responsible for building a world class support experience for Anthropic's customers and the Product Support team. You will partner with Product Support Operations, AI Support, Billing, Fraud, and Product Engineering teams to build the systems that decide how Anthropic's users get unblocked when something goes wrong, and how what they report turns into product fixes, in partnership with the product teams that own the experience. Claude will be the primary operator of that support experience. Partner with Product Support Operations, AI Support, and product engineering teams to own the systems behind the support experience end to end: the path from a recurring support driver to a shipped product fix, the Claude-based AI support layer that handles most inbound volume, and the tooling that helps human agents resolve what's left quickly and accurately. . Your north star is fewer support cases per user, and whole categories of cases eliminated, even as the product grows. The best outcome is a case that never gets opened because the product problem behind it was found and fixed. Everything in the support experience is in scope. You decide where to start. You'll define the end-to-end experience Claude delivers: diagnosing a billing failure, resolving it or escalating it, recognizing when the same failure is showing up across many customers, filing the bug with repro steps and a proposed fix, getting that to the engineering team that owns the driver, following up with the customer to confirm the issue was actually resolved, and confirming the category actually goes away once the fix ships. You will define and own the strategy and roadmap for the support-to-product feedback loop, including the escalation paths for billing, fraud, and high-visibility cases, and the metrics that show whether contact rate is falling. Responsibilities Deeply understand the needs of Product Support Operations, AI Support, Billing, Fraud, and the product engineering teams that own support drivers, from specialists handling enterprise escalations to engineers who need a support case turned into a reproducible bug they can fix. Define and iterate on the support-to-product loop: how a case is classified, how recurring drivers are surfaced in near real time with case examples and recommended fixes, how each driver gets a named owner, and how we confirm the fix decreased case volume. Own the metrics behind it:  inbound case volume by driver, drivers fixed at the root, and time from first case to shipped fix, alongside the response-time and CSAT targets Product Support Operations already runs on. Own the customer's experience of getting unblocked: how quickly a user reaches a resolution and how little friction they hit on the way, whether Claude resolves the case or hands it to a specialist. Minimize the blast radius of novel issues. New models and product changes will keep creating new drivers no one can predict; catch each one at its first reports, assess impact, and get the fix prioritized while the affected group is still small. Partner with engineering and data science to build the systems that scale with Anthropic's growth: Claude as the first responder, the data pipeline behind driver detection, and the tooling that lets Claude hand a diagnosed case to the right team. Drive product strategy and roadmap for the in-house Claude support layer, including what Claude resolves on its own, what it escalates and to whom, and how far it goes toward filing and fixing the underlying product issue itself. Own the trade-off framework between intake reduction, response time, cost, and quality, making transparent prioritization decisions about which drivers get fixed first and communicating them clearly to Product Support and senior leadership. Build conviction about what support looks like when Claude is the primary operator, and translate that into a roadmap that gets Anthropic there ahead of the volume curve. You may be a good fit if you have 7+ years of product management experience, with deep exposure to support systems, customer operations tooling, billing or payments, or internal platforms that serve operations teams Experience taking technical platform products from infancy to scale: you've built something from the ground up and grown it to serve demanding internal or external engineering customers Track record of building products that balance the needs of multiple personas, and of making prioritization trade-offs between them and communicating them clearly Ability to internalize complex technical systems (case routing, billing and payments flows, LLM-based agents, data pipelines) and translate that understanding into a comprehensive product vision Fluent across functions: you're equally credible reading a failed-payment trace with engineers, walking a specialist through why a driver got deprioritized, and explaining intake trends to leadership A strong thesis on how AI changes support: you've thought deeply about what happens when the agent that answers the case can also diagnose, file, and fix what caused it, and you want to build that Experience scaling an LLM-based product or experience from prototype to real volume, and a clear view of what breaks on the way: quality drift, cost, latency, and user trust Scrappy and resourceful: you do what it takes to get things done in a fast-moving environment Strong candidates may have: Built or scaled the systems behind a high-volume support operation for consumer or developer products: case data pipelines, driver analytics, or LLM-based support agents. Shipped an LLM-based support or operations agent in production and understand the trust, escalation, and quality-measurement problems that come with it. Defined and operationalized contact-rate or case-deflection metrics, and a point of view on how those metrics change when the fix ships in the product instead of the help center. Scaled through hypergrowth in support-heavy environments (consumer subscriptions, developer platforms, or fintech). Experience getting product and engineering teams to own support drivers, with proven evidence of driving ownership through clear evidence and product quality. 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: $385,000 — $460,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit  anthropic.com/careers  directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:  Learn about  our policy for using AI in our application process.

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 an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity API and SaaS solutions to professional services firms across the EMEA markets. You'll drive the adoption of safe, frontier AI by securing strategic deals with consultancies, agency and marketing services groups, law firms, and accounting and advisory firms. You'll leverage your consultative sales expertise in the professional services sector to propel revenue growth while becoming a trusted partner to professional services stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities in client delivery, research and analysis, and knowledge management. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with professional services decision-makers. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Win new business and drive revenue for Anthropic within the professional services sector. Navigate complex professional services firms to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close Design and execute innovative sales strategies tailored to professional services procurement cycles, vendor risk assessment, and budgeting processes to meet and exceed revenue quotas. Analyse professional services market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns Spearhead market expansion by identifying new use cases within client delivery teams, creative and strategy functions, research and knowledge management, and business development. Collaborate cross-functionally to differentiate our offerings for professional services applications Navigate complex professional services stakeholder ecosystems including executives, partners and practice leaders, IT departments, risk and compliance functions, and procurement offices to build consensus Inform product roadmaps and features by gathering feedback from users and conveying professional services market needs. Provide insights that strengthen our value proposition for professional services Continuously refine the professional services sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimise sales productivity and consistency You may be a good fit if you have: 8+ years of B2B Enterprise sales experience in SaaS, API solutions, or emerging technologies A track record of managing complex sales cycles within professional services firms and securing strategic deals by understanding both technical requirements and professional services use cases Demonstrated ability to navigate professional services organisational structures and procurement processes, building consensus among diverse stakeholders including executives, partners and practice leaders, and IT departments Extensive experience negotiating complex agreements within professional services procurement frameworks, vendor risk and third-party assurance policies Proven experience exceeding revenue targets by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently to various professional services audiences, from practice leads and delivery teams to senior partners Deep understanding of professional services buying cycles, decision-making processes, and key pain points, including the client confidentiality and regulatory obligations firms operate within A strategic, analytical approach to assessing the professional services market combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems and their applications. You feel strongly about ensuring frontier AI systems are developed safely and ethically for professional services use 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: £280,000 — £330,000 GBP 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 an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity API and SaaS solutions to industrial organisations across the EMEA markets. You'll drive the adoption of safe, frontier AI by securing strategic deals with manufacturers, engineering groups, energy and utilities providers, and logistics and supply chain businesses. You'll leverage your consultative sales expertise in the industrial sector to propel revenue growth while becoming a trusted partner to industrial stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities across engineering, operations, supply chain, maintenance and field service. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with industrial decision-makers. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Win new business and drive revenue for Anthropic within the industrial sector. Navigate complex, often global, industrial organisations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close Design and execute innovative sales strategies tailored to industrial procurement cycles, capex and opex budgeting, and supplier qualification processes to meet and exceed revenue quotas. Analyse industrial market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns Spearhead market expansion by identifying new use cases within engineering and R&D, plant operations, supply chain and procurement, quality, maintenance, and field service. Collaborate cross-functionally to differentiate our offerings for industrial applications Navigate complex industrial stakeholder ecosystems including executives, operations and engineering leadership, IT and OT teams, digital transformation functions, and procurement offices to build consensus Inform product roadmaps and features by gathering feedback from users and conveying industrial market needs. Provide insights that strengthen our value proposition for industrial clients Continuously refine the industrial sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimise sales productivity and consistency   You may be a good fit if you have: 8+ years of B2B sales experience in SaaS, API solutions, or emerging technologies A track record of managing complex sales cycles within industrial organisations and securing strategic deals by understanding both technical requirements and industrial use cases Demonstrated ability to navigate large, multi-site industrial organisations and procurement processes, building consensus among diverse stakeholders including executives, operations and engineering leadership, and IT departments Extensive experience negotiating complex agreements within industrial procurement frameworks, including supplier onboarding, security and data governance reviews Proven experience exceeding revenue targets by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently to various industrial audiences, from plant and engineering managers to senior executives Deep understanding of industrial buying cycles, decision-making processes, and key pain points, including the regulatory, safety and sustainability pressures industrial businesses operate within A strategic, analytical approach to assessing the industrial market combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems and their applications. You feel strongly about ensuring frontier AI systems are developed safely and ethically for industrial use   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: £280,000 — £330,000 GBP 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.

MaintainX is a leading mobile-first work execution platform for industrial and frontline teams. More than 13,000 customers , including Duracell, McDonald's, Shell, DHL and Volvo, use MaintainX to cut unplanned downtime and run better operations, across 13.9 million managed assets and 79.5 million completed work orders. In August 2026 MaintainX became part of Autodesk, joining Autodesk Operations Solutions , the organization unifying Autodesk's operations platform alongside Tandem, FlexSim and Fusion Operations. Autodesk's strategy is to converge design, make and operate into one continuous lifecycle: design an asset, build it, run it, then feed what you learn running it back into the next design. Autodesk had design and make. Operate is the phase that tells you what actually happened, and it is ours. We're hiring Inside Sales Representatives (ISRs) to join a high-impact team driving growth in strategic accounts. This is an entry point into full-cycle Enterprise SaaS sales for candidates with some closing experience—whether as a junior Account Executive (AE), Account Manager (AM), or Inside Sales Representative (ISR)—and ready to expand their ownership. You'll close transactional deals under a set threshold while supporting a group of Field Account Executives with outbound prospecting, inbound lead follow-up, renewals, and field event support. This is a full-cycle role with real revenue ownership—ideal for someone looking to progress into strategic enterprise sales in a fast-growing environment. What You'll Do: Run the full sales cycle for transactional deals under a defined amount. Partner with 3–4 Field Account Executives to drive outbound prospecting and support account plans. Manage and execute renewals across signed accounts in your territory. Follow up on inbound leads quickly and effectively. Drive attendance and follow-up for marketing and field events. Maintain accurate CRM data, forecast precisely, and stay aligned with your territory team. About You: 2–4 years of SaaS or tech sales experience including some closing responsibilities (AE, AM, ISR, or equivalent). Proven success running a sales process from qualification to close in a commercial or transactional context. Exposure to sales processes, CRM systems, and account-based workflows. Excellent written and verbal communication skills—clear, concise, and confident. Hunger to learn, grow, and build a long-term career in enterprise sales. Proactive and organized—you manage your time and priorities with precision. A collaborative, team-first attitude with a desire to help shape a new function from the ground up. This role is responsible for managing and supporting a customer portfolio based primarily in English-speaking markets (US/English Canada), requiring daily verbal and written communication in English with those customers. Bonus Points For: Experience managing renewals or expansion within existing accounts. Familiarity with Salesforce, Salesloft, ZoomInfo, Gong, etc. Experience selling to manufacturing, industrial, or maintenance audiences. Success working closely with field sales or supporting account executives. Our mission is to keep the physical world running. Factories, fleets, hospitals and campuses stay up because the people who maintain them have tools worth using. That is what we build. Compensation and benefits. Base pay is one part of the package. Depending on the role, compensation may also include commission, an annual bonus and equity. Benefits differ by country. For roles in the United States, Autodesk's benefits are described at benefits.autodesk.com . For roles in Canada and other countries, the plan differs on health coverage, retirement and leave, and your recruiter will walk you through it. Belonging. We take pride in a culture where everyone can thrive. More at autodesk.com/company/global-belonging . More on where this is going: Autodesk CEO Andrew Anagnost on building the future of connected operations, and AOS SVP Stephen Hooper on welcoming MaintainX to Autodesk.

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 Motors is seeking a Senior Sales Specialist for our Hilversum studio with a proven track record in automotive sales. In this role you take ownership of our young used and pre-owned Lucid vehicles and actively create sales outside the studio. You use your own network to generate opportunities, enquiries and deals, with a main focus on small and medium-sized enterprises: business owners and directors who buy or lease a premium car through their own company. The role is roughly 75% pre-owned and 25% new vehicles. What you will do Own the sales of our young used and pre-owned Lucid vehicles in the Netherlands, from first contact to delivery. Use your existing network to proactively create opportunities, enquiries and sales, with a focus on SME owners and directors. Value and appraise customer trade-ins, including premium, high-end and exotic vehicles. Advise customers on financing and on financial, operational and private lease, and structure the deal that fits them. Monitor stock, pricing and standing time of pre-owned vehicles and propose actions to keep stock moving. Organise and host customer events and test-drive activities on your own initiative, in the studio and at external locations. Work closely with the studio team, Remarketing and our B2B colleagues to give every customer a seamless experience. Share insights from the premium EV and pre-owned market and translate them into sales actions. Who we are looking for 5–8 years of experience in automotive sales, ideally in the premium segment. Hands-on experience with pre-owned vehicles: valuation, pricing and selling. An existing network of entrepreneurs and business decision-makers that you can activate. Solid knowledge of automotive financial products: financing, financial, operational and private lease. Advanced negotiation skills and a track record of closing deals. Knowledge of the premium EV market and the ability to turn market trends into sales. A self-starter with a structured approach to prospecting, who does not wait for the customer to walk in. Experience organising events and a strong network in the automotive industry is a plus. Fluent in Dutch and English.   Lucid Motors is committed to maintaining a safe and trustworthy environment. As such, a background check may be required during the hiring process. This will be performed in line with  Europe an data protection laws, and candidates will be informed and asked to provide consent before the check is conducted. Compensation & Benefits:   Lucid offers a comprehensive and competitive  benefits package  including medical, dental, and vision insurance; life and disability coverage; paid time off; paid holidays, paid sick leave; and a 401(k) retirement plan. Hourly/non-exempt employees accrue up to 120 hours paid time off, and salaried/exempt employee accrue up to 160 hours paid time off.  Eligible employees may also participate in Lucid's equity program and/or a discretionary annual cash incentive program. Incentive and equity awards, if applicable, are determined based on individual performance, role scope, market considerations, and overall company results, in accordance with the terms of the applicable plans.   Equal Opportunity: At Lucid, we believe diversity strengthens everything we build. Lucid Motors is proud to be an equal opportunity employer and is committed to providing an inclusive workplace for all. We consider all qualified applicants without regard to race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity or expression, marital status, or any other characteristic protected by applicable state or federal laws and regulations.   Accessibility:  Lucid Motors is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need any accommodation to participate in the application process, please contact us at  TA-Operations lucidmotors.com . This email address is designated solely for accommodation requests and is not monitored for job applications or resume submissions. To be considered for employment, all applications must be submitted through the Lucid Motors Careers website. Candidate Data Privacy:  By submitting your application, you understand and agree that your personal data will be processed in accordance with our  Candidate Privacy Notice .   To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to Lucid Motors. Lucid Motors is not responsible for any fees related to unsolicited resumes.    

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. Join Lucid's Autonomous Driving and ADAS organization to help develop and integrate next-generation autonomy features into Lucid vehicles. Help turn advanced driving technology into safe, dependable vehicle behavior. You will own features from concept and requirements through integration and production readiness. Your primary focus will be supervised point to point driving (L2++) and development work that also contributes to L4 automated driving.   This is a hands-on individual-contributor role at the intersection of vehicle systems, autonomy software, safety, and validation. You will translate product goals into implementable specifications, investigate real-world behavior, and drive technical decisions across teams.    The Role: Own the systems definition and delivery of assigned driving features: use cases, operating conditions, operational design domain (ODD), behavioral requirements, limitations, and measurable acceptance criteria.   Decompose vehicle-level objectives into functional, performance, and safety requirements. Allocate performance budgets and maintain traceability from stakeholder needs through implementation and verification evidence.   Develop functional architectures, state machines, interface specifications, and clear hardware/software ownership boundaries. Evaluate trade-offs involving sensors, compute, latency, vehicle interfaces, and algorithm capability.   Specify activation, availability, mode transitions, driver interaction, fault response, and degraded behavior. Distinguish L2 driver-supervision responsibilities from L4 system responsibilities, including fallback and minimal-risk behavior where applicable.   Partner with perception, localization, prediction, planning, controls, embedded software, vehicle integration, and HMI teams to resolve dependencies and deliver coherent end-to-end behavior.   Define scenario-based verification and validation strategies across simulation, software-/hardware-in-the-loop, proving-ground, and on-road testing. Connect each requirement to a test method and objective pass/fail criteria.   Work with data and test teams to establish feature metrics, logging needs, scenario coverage, and dataset representativeness. Use fleet and test data to identify gaps and prioritize improvements.   Investigate failures and performance limitations using vehicle logs, software behavior, and targeted experiments. Drive root-cause resolution, regression coverage, and assessment of changes across releases.   Collaborate with functional safety and SOTIF engineers on hazard analysis, foreseeable misuse, triggering conditions, safety mechanisms, and supporting evidence; incorporate relevant standards and regulatory requirements.   Lead technical reviews within your feature scope, communicate risks and trade-offs, and coordinate with program teams, suppliers, and technology partners to support integration and evidence-based release decisions.     Qualifications: Bachelor's degree in electrical, mechanical, automotive, aerospace, or computer engineering, computer science, robotics, or a related discipline, or equivalent practical experience.   6+ years of relevant engineering experience, including hands-on systems ownership for ADAS, automated driving, or similarly complex safety-critical vehicle or robotics systems.   Experience taking a feature through requirements, architecture, integration, and verification, with clear examples of technical decisions and issues you personally resolved.   Working knowledge of the autonomy stack and its vehicle-level interactions, including sensor and compute limitations, perception/planning/control interfaces, timing, diagnostics, and degraded operation.   Ability to write testable requirements, define interfaces and acceptance criteria, manage traceability, and use scenario-based testing and quantitative analysis to assess system behavior.   Practical programming and data-analysis skills in Python or C++, and confidence interpreting logs, Vector tools (CANalyzer) navigating software, and debugging integrated systems.   Working knowledge of functional safety (ISO 26262) and safety of the intended functionality (ISO 21448/SOTIF), with the ability to collaborate effectively with safety specialists.   Strong technical communication and cross-functional problem-solving skills; comfortable owning a defined scope, documenting assumptions, and driving alignment without direct authority.     Preferred: Experience working on supervised point to point driving (L2++) OR L3/L4 autonomy    Experience with learned or end-to-end driving approaches and modular autonomy stacks, including how their limitations and trade-offs affect requirements, observability, and validation.   Hands-on vehicle integration, automotive networks such as CAN and Ethernet, and sensor/compute integration, synchronization, diagnostics, or redundancy.   Large-scale scenario mining, simulation evaluation, fleet-data analytics, SQL, or statistical methods for evaluating rare events and coverage.   Requirements and architecture tools such as Jama, DOORS, or SysML/MBSE, plus experience with supplier interfaces, release readiness, or applicable NCAP and UNECE requirements.       At Lucid, we don't just welcome diversity - we celebrate it! Lucid Motors is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity and expression, marital status, and any other characteristic protected under applicable State or Federal laws and regulations. Compensation & Benefits:   Lucid offers a comprehensive and competitive  benefits package  including medical, dental, and vision insurance; life and disability coverage; paid time off; paid holidays, paid sick leave; and a 401(k) retirement plan. Hourly/non-exempt employees accrue up to 120 hours paid time off, and salaried/exempt employee accrue up to 160 hours paid time off.  Eligible employees may also participate in Lucid's equity program and/or a discretionary annual cash incentive program. Incentive and equity awards, if applicable, are determined based on individual performance, role scope, market considerations, and overall company results, in accordance with the terms of the applicable plans.   Equal Opportunity: At Lucid, we believe diversity strengthens everything we build. Lucid Motors is proud to be an equal opportunity employer and is committed to providing an inclusive workplace for all. We consider all qualified applicants without regard to race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity or expression, marital status, or any other characteristic protected by applicable state or federal laws and regulations.   Accessibility:  Lucid Motors is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need any accommodation to participate in the application process, please contact us at  TA-Operations lucidmotors.com . This email address is designated solely for accommodation requests and is not monitored for job applications or resume submissions. To be considered for employment, all applications must be submitted through the Lucid Motors Careers website. Candidate Data Privacy:  By submitting your application, you understand and agree that your personal data will be processed in accordance with our  Candidate Privacy Notice .   To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to Lucid Motors. Lucid Motors is not responsible for any fees related to unsolicited resumes.    

About Lucid At Lucid, we are creating exceptional mobility experiences through innovation to drive the world forward. Built on Lucid's proprietary technology and software-defined vehicle architecture, our award-winning vehicles bring our "Compromise Nothing™" approach to the global automotive market. That means refusing to choose between performance and sustainability, design and engineering, ambition and integrity. In Lucid Air and Lucid Gravity, we have designed and built vehicles that have redefined their segments, combining exceptional range, performance, design, and expansive space in a single experience.   We achieve this through deep vertical integration, with design, engineering, and production happening in-house across our global offices and manufacturing facilities. Our teams come from industries around the world, united by a shared commitment to excellence. By refusing to settle, you can help redefine what's possible and shape the future of mobility. As a 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 & Benefits:   Lucid offers a comprehensive and competitive  benefits package  including medical, dental, and vision insurance; life and disability coverage; paid time off; paid holidays, paid sick leave; and a 401(k) retirement plan. Hourly/non-exempt employees accrue up to 120 hours paid time off, and salaried/exempt employee accrue up to 160 hours paid time off.  Eligible employees may also participate in Lucid's equity program and/or a discretionary annual cash incentive program. Incentive and equity awards, if applicable, are determined based on individual performance, role scope, market considerations, and overall company results, in accordance with the terms of the applicable plans.   Equal Opportunity: At Lucid, we believe diversity strengthens everything we build. Lucid Motors is proud to be an equal opportunity employer and is committed to providing an inclusive workplace for all. We consider all qualified applicants without regard to race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity or expression, marital status, or any other characteristic protected by applicable state or federal laws and regulations.   Accessibility:  Lucid Motors is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need any accommodation to participate in the application process, please contact us at  TA-Operations lucidmotors.com . This email address is designated solely for accommodation requests and is not monitored for job applications or resume submissions. To be considered for employment, all applications must be submitted through the Lucid Motors Careers website. Candidate Data Privacy:  By submitting your application, you understand and agree that your personal data will be processed in accordance with our  Candidate Privacy Notice .   To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to Lucid Motors. Lucid Motors is not responsible for any fees related to unsolicited resumes.    

About Lucid At Lucid, we are creating exceptional mobility experiences through innovation to drive the world forward. Built on Lucid's proprietary technology and software-defined vehicle architecture, our award-winning vehicles bring our "Compromise Nothing™" approach to the global automotive market. That means refusing to choose between performance and sustainability, design and engineering, ambition and integrity. In Lucid Air and Lucid Gravity, we have designed and built vehicles that have redefined their segments, combining exceptional range, performance, design, and expansive space in a single experience.   We achieve this through deep vertical integration, with design, engineering, and production happening in-house across our global offices and manufacturing facilities. Our teams come from industries around the world, united by a shared commitment to excellence. By refusing to settle, you can help redefine what's possible and shape the future of mobility. The Retail & Used Car De-Fleet Manager (Europe) is responsible for leading the end-to-end strategy and operations for vehicle de-fleeting, trade-in management, refurbishment, and sales across the European region. This role is accountable for maximizing vehicle residual values through accurate valuation, effective refurbishment planning, efficient inventory management, and optimized route-to-market decisions. Working cross-functionally with Sales, Fleet, Service, Finance, and Retail Operations teams, the De-Fleet Manager ensures all returned and traded vehicles are processed efficiently, marketed through the most appropriate sales channels, and sold in a manner that maximizes profitability while supporting Lucid's premium brand standards and customer experience. The successful candidate will drive operational excellence, establish scalable de-fleet processes, develop strategic remarketing partnerships, and deliver performance through robust KPI management, ensuring a best-in-class used vehicle and Certified Pre-Owned operation across Europe.   Key Responsibilities Lead the valuation, pricing, and resale strategy for all Lucid trade-in and de-fleet vehicles, ensuring accurate vehicle appraisals, margin optimization, and effective route-to-market decisions. Develop and manage European used vehicle sales channels, including retail, wholesale, auction, and third-party marketplace partnerships, to maximize profitability, speed of sale, and market coverage. Design and oversee a standardized EU de-fleet process covering vehicle returns, inspections, refurbishment, logistics, storage, and sales readiness. Collaborate cross-functionally with Sales, Service, Retail Operations, Fleet, and Finance teams to ensure efficient vehicle processing and minimize cost leakage. Define, track, and report key performance indicators related to vehicle turnaround times, refurbishment efficiency, inventory aging, channel performance, and profitability. Drive continuous improvement initiatives to enhance operational efficiency, stock turn, customer experience, and financial performance. Support the implementation and ongoing management of the Certified Pre-Owned (CPO) program, ensuring vehicles meet brand, quality, and compliance standards. Manage fleet return processes with leasing and fleet partners, ensuring timely execution, accurate condition assessments, and maximum value recovery from returned vehicles. Identify and resolve process bottlenecks across the used vehicle lifecycle to improve operational performance and optimize residual value outcomes. Deliver a premium, end-to-end customer experience, guiding customers through every stage of the sales journey with a consultative approach, tailored solutions, and seamless vehicle delivery and ownership transition. Build lasting customer relationships and drive brand loyalty by proactively resolving issues, exceeding expectations, and continuously enhancing the customer experience to generate advocacy and satisfaction. Set up & drive campaigns (GTM) for all regions, in conjunction with the NSCs in relevant markets   Qualifications Experience in Automotive Management, Supply Chain, Finance, or a related discipline preferred, but not essential. Minimum of 8 years' proven success in vehicle de-fleet, remarketing, used vehicle operations, or a related automotive industry role. Demonstrated expertise in end-to-end de-fleet and remarketing operations, including vehicle valuation, refurbishment planning and inventory management. Strong understanding of residual value management and the commercial drivers impacting profitability across wholesale and auction channels. Proven experience defining, managing, and reporting on key operational and financial KPIs within a de-fleet/remarketing environment. Proficient in CRM and business management systems, with Salesforce experience preferred. Excellent negotiation, communication, and presentation skills, with the ability to influence stakeholders and build effective relationships with internal and external partners. Strong commercial acumen with a strategic mindset, capable of identifying growth opportunities, driving process improvements, and delivering sustainable business results. Highly analytical, results-oriented, and self-motivated, with the ability to manage multiple priorities in a fast-paced environment. Demonstrated ability to work independently while collaborating effectively across cross-functional teams and international markets. Fluent in English, both written and spoken; additional European languages are advantageous.   This is a Lucid office-based role in Amsterdam 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.