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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 Anthropic believes AI capabilities are improving rapidly, and that AI safety policy needs to keep pace. Our Policy Development team translates technical insights into workable new policy ideas for governing frontier AI. As a policy analyst, you will drive our work on technical and cross-lab safety practices, deepen our work on frontier AI legislation, and develop new technical governance ideas that you pressure-test with researchers and carry into policy proposals. You will work closely with policy colleagues and with research, alignment, safety, and legal teams, and you'll move easily between technical detail and how policy actually gets made. Key responsibilities Help develop technical safety best practices and standards for frontier development, working closely with policy, research, and safeguards teams Support cross-lab discussions and initiatives and serve as the Anthropic representative in key standards initiatives and groups Review and give substantive input on federal, state, and global frontier AI safety bills, including on risk reporting, independent evaluation, and incident reporting, helping shape AI safety legislation development Work with our external affairs policy teams to strengthen our frontier AI legislative framework Contribute research and analysis across the policy team's pacing workstreams, including developing novel policy proposals that address challenges related to the acceleration of AI R&D Engage with the external AI safety and governance community to track new thinking and feed it into our own Write clear memos and briefings that help leadership align on decisions Minimum qualifications Are fluent in frontier AI safety and technical AI governance: the main players, proposals, and debates Can read legislative text and comment usefully on it Have expertise in any of the following domains: loss-of-control, alignment, compute governance, independent evaluation, model weight security, risk reporting Write clearly for researchers, leadership, and policymakers Can pick up new technical topics quickly and translate them to the broader policy landscape Are comfortable with ambiguity and can own a project end to end Preferred qualifications Are excited about standards work, and also want to contribute across the wider technical governance agenda Have direct experience in an AI governance or safety research organization or frontier lab Have experience working closely with standards bodies or industry consortia Have experience developing and shaping technical legislation Have published novel policy thinking on AI governance 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: $265,000 — $295,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit  anthropic.com/careers  directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:  Learn about  our policy for using AI in our application process.

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Claude Partner Network (CPN) Reseller track lets authorized partners sell Claude directly to end customers. These partners bring Claude into accounts that Anthropic can't reach alone, and they need marketing that helps them build a real Claude practice: campaigns they can run with their own teams, funding they can put to work, and proof that moves them up through the partner tiers. This is a foundational, first-in-seat role with wide scope. You'll be the first dedicated partner marketer for the reseller track, and you'll lead it globally. You'll set its marketing strategy, define the standards and playbooks partners run against, and build the tier-advancement path from the ground up. You'll work across regions and with a network of agency partners to deliver programs at global scale. You'll shape how reseller marketing fits into Anthropic's broader partner strategy, working with Partnerships, Commercial Operations, Channel Account Managers, Partner Operations, Customer Marketing, and Communications to make sure reseller activity and Anthropic's direct sales point in the same direction. You'll also set the bar for the marketers who join the practice as it grows. Key responsibilities Set the marketing strategy for the reseller track, including priorities, investment choices, and quarterly and annual plans that connect partner activity to registered pipeline and reseller revenue Define the reseller marketing playbook and co-marketing standards, and keep them current as the program launches and expands Represent the partner marketing perspective in program design, working with Partnerships, Commercial Operations, and Legal on how benefits, MDF, and tier criteria will work in practice Build joint marketing plan templates for reseller partners, including campaign calendars and success metrics Source, select, and manage the agency partners that support reseller programs globally, including scope, budgets, quality standards, and performance reviews, and build a regional roster that can scale as the program expands Run partner-led campaigns with those agencies, using co-branded and localized kits for each market, and help partners adapt them for their own buyers Own partner marketing funds (MDF) end to end: help partners build proposals, track approvals and documentation, and connect every funded activity to registered pipeline Help partners reach their next tier by planning the customer stories, certification pushes, and public proof points each tier requires, on a timeline that fits the January and July tier reviews Turn partner wins into customer stories with Customer Marketing, from interview through partner and Anthropic approvals Coordinate joint announcements and press with Anthropic Communications, managing review timelines and holding partner copy to Anthropic's messaging and brand standards Partner with Channel Account Managers and the field on audience and account targeting, so reseller campaigns extend Anthropic's reach into new customers and partner and direct motions reinforce each other Define how reseller marketing success is measured: set targets and KPIs for pipeline, reseller revenue, and campaign ROI, build the reporting, and use results to decide where to invest and what to change Report on partner-sourced pipeline and reseller revenue influence, with 30/60/90-day tracking on every activation Keep reseller partners informed through the CPN monthly broadcast and newsletter, and bring partner needs and results back into program planning Minimum qualifications Have owned marketing strategy for a partner or channel program, setting priorities and investment decisions rather than only executing against them Have built and run co-marketing programs with channel, reseller, or distribution partners, including partner-funded budgets (MDF, co-op, or similar) and ROI reporting Have sourced and managed agencies or contractors across multiple regions, including scoping work, managing budgets, and holding quality standards Have run marketing programs across multiple international markets Understand indirect sales motions, including how partners find, register, and close deals, and can write marketing that reaches partner sellers as well as end customers Can build joint plans and value propositions that articulate clear business outcomes for customers Have defined success measures for a partner or channel program and used the results to change investment decisions Are skilled at tracking program performance in a CRM or equivalent system, and can turn that data into clear recommendations Write clearly and precisely, and can hold partner-produced copy to brand and approval standards Build trusted relationships with partner marketing and sales teams, and can move priorities forward with partners you don't manage Can make and defend decisions with incomplete data, and know when to escalate Are highly organized and can run several partner plans at once without dropping quality Are comfortable building new processes from scratch, in an environment where the playbook is still being written Take ownership of outcomes and step in wherever the work needs you Care about the societal impacts of AI and are excited about enabling organizations to adopt AI responsibly Preferred qualifications Have 7+ years of marketing experience, with significant focus on partner marketing in B2B technology environments Have launched or scaled a partner program from its early stages, including tier design, benefits, and promotion criteria Have produced partner-led customer stories, including managing approvals and public announcement timelines Have experience with cloud marketplace reseller motions, such as private offers or co-sell programs Have localized marketing content and campaigns for multiple international markets Have established relationships with resellers, distributors, or systems integrators Have experience with partner relationship management tools and Salesforce partner data Understand enterprise AI use cases across industries and functions Have set standards for or mentored other marketers, formally or informally Have used Claude or other AI tools to scale their own marketing work 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 — $400,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit  anthropic.com/careers  directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:  Learn about  our policy for using AI in our application process.

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Corporate Systems team runs the core collaboration platforms everyone here works in and builds the tooling and automation behind IT. That responsibility extends to the companies we acquire. Their people, devices, and systems have to come into Anthropic securely. You'll own the IT side of Anthropic's acquisitions: due diligence, integration planning, and integration. Before close, you'll assess a company's IT environment and give the deal team a clear read on risk and effort. You'll define the technical integration plan and its requirements: what moves, where it lands, in what order, what has to be ready on day one, and how each security gap gets closed. After close, you'll carry out that plan and bring the company's people, devices, and systems onto our stack. This is a hands-on engineering role. You'll hold admin, write code, build automation, run the cutovers yourself and bring in other teams when the work calls for their expertise or support. You'll lead this work for IT Engineering and partner with Security, Corporate Development, Legal, People, and Finance at every stage. M&A will be your primary focus and responsibility, but you'll be a full member of the Corporate Systems team;  taking part in planning and reviews, using and contributing to the team's tooling, and contributing to the roadmap. Early on, M&A will be most of your work, including using Claude to automate the repeatable parts of diligence and integration. As that automation matures, and when M&A load is light, you'll contribute to other parts of the team's roadmap. Responsibilities Lead technical IT due diligence: assess a company's identity, applications, endpoints, and infrastructure, and brief the deal team on risk and effort before close Find the gaps between an acquired environment and Anthropic's security model, rate them, and build the mitigations into the integration plan Define the technical integration plan and its requirements: what moves, where it lands, in what order, and what has to be ready on day one Run the integration: take over administration, migrate people, devices, and data, and retire what's no longer needed, with support from other IT Engineering teams as required. Work with Business Technology, Client Platform, Corporate Network, IT Operations, and Security on their parts of each integration Keep Corporate Development, Legal, People, Finance, and the acquired company's team clear on where IT stands Build a repeatable IT M&A playbook and automate as much of it as possible with Claude When M&A work is light, contribute to core Corporate Systems projects You may be a good fit if you have 8+ years as a hands-on engineer in corporate IT. You have designed and shipped systems, carried out migrations or integrations yourself, and owned at least one area end-to-end, with experience supporting other areas: identity, applications, endpoints, or corporate infrastructure Experience administering enterprise identity and collaboration platforms such as Google Workspace, Slack, and an SSO provider, and working code in Python or similar against their SaaS APIs Working knowledge of endpoint management and security concepts, enough to lead diligence on an unfamiliar fleet A proven ability to understand an unfamiliar IT environment quickly and deliver a prioritized view of risk to non-specialists A record of leading technical projects that span several teams and run to a fixed date, while doing much of the engineering yourself Comfort working autonomously, with ambiguity and confidential information Clear communication with executives, legal and corporate development teams, and engineers at acquired companies Strong candidates may also have Prior M&A, carve-out, or company-to-company migration experience Experience across the full stack: endpoints, systems, applications, and infrastructure Hands-on experience managing a device fleet or running an MDM Experience working in or alongside a security team A record of building tooling that replaces manual IT work Using Claude or similar tools as a core part of how you work Representative projects Assess an acquired company's IT environment that nobody here has seen and produce a prioritized integration plan within days Design a way to size integration effort and risk for a company of any shape or size Automate bringing acquired people and devices onto Anthropic's identity and device management Write the IT risk memo for a live deal and present it to Corporate Development and Security leadership Deadline to apply: None. Applications will be received on a rolling basis. 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: $325,000 — $360,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit  anthropic.com/careers  directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:  Learn about  our policy for using AI in our application process.

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking an Internal Communications Manager to serve as a dedicated communications partner to our go-to-market (GTM) organization – the teams responsible for selling and diffusing Claude into enterprises around the world.  Internal communications at Anthropic is not a support function that plans meetings and sends newsletters. The best people in this role operate like advisors who embed themselves deeply in the orgs they support, earn a seat at the leadership table, write on behalf of executives, and see around corners, anticipating what the organization will need to hear before anyone asks for it. There are traditional elements to the role too, like all-hands planning and org change announcements, and you'll run those with operational excellence.  This role can be based in either San Francisco or NYC.  Responsibilities Own the internal communications strategy for your portfolio within GTM, becoming an expert in the team's work and a trusted member of its leadership support team Serve as an advisor to our Chief Commercial Officer and their team - helping them think through what to say and when, draft communications in their voice, and give them expert counsel People manage a small team (one/two directs), supporting the global GTM org  Translate complex sales strategy and customer stories into narratives that land with employees across every function  Anticipate communications needs before they arrive (e.g. launches, customer wins, organizational change, moments of external attention) and have a plan ready for how we'll bring employees along Design and implement strategies to boost signal and reduce noise, so employees know what's important and what it means for them Plan and execute internal fora like all-hands and AMAs with operational excellence Partner closely with the broader internal communications team to ensure updates are accurately and consistently cascaded across existing channels and live forums You may be a good fit if you Have 12+ years of experience in communications or an adjacent craft where you learned to make complex, high-stakes material clear under pressure (e.g journalism, speechwriting, chief of staff work, strategy and operations) Are an exceptional writer with a particular talent for distilling complex concepts  into plain English, with a nose for great storytelling Have served as a trusted advisor to senior leaders and know how to build those relationships: when to push, when to listen, and how to deliver a recommendation even when it's something an exec may not want to hear See the big picture and are able to connect individual team updates to company strategy and mission Have a keen eye for organizational culture and can recognize authentic moments worth amplifying Strong candidates may also Have worked at AI companies, frontier tech companies, or other organizations where the work moves faster than most people can follow Have built or run internal communications programs during periods of rapid organizational growth 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: $295,000 — $345,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study:  A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:  We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit  anthropic.com/careers  directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:  Learn about  our policy for using AI in our application process.

About Lucid At Lucid, we are creating exceptional mobility experiences through innovation to drive the world forward. Built on Lucid's proprietary technology and software-defined vehicle architecture, our award-winning vehicles bring our "Compromise Nothing™" approach to the global automotive market. That means refusing to choose between performance and sustainability, design and engineering, ambition and integrity. In Lucid Air and Lucid Gravity, we have designed and built vehicles that have redefined their segments, combining exceptional range, performance, design, and expansive space in a single experience.   We achieve this through deep vertical integration, with design, engineering, and production happening in-house across our global offices and manufacturing facilities. Our teams come from industries around the world, united by a shared commitment to excellence. By refusing to settle, you can help redefine what's possible and shape the future of mobility. As a Part-Time Brand Ambassador in a Lucid Studio, your primary focus will be creating exceptional first impressions and delivering a welcoming, elevated experience for every guest who visits Lucid. As one of the first points of contact for our brand, you'll help spark curiosity, build meaningful connections, and introduce customers to the future of electric mobility. If you're passionate about delivering outstanding customer experiences and enjoy representing an innovative luxury brand, you'll excel as a Lucid Brand Ambassador. The Opportunity   Brand Ambassadors are the first point of engagement for guests visiting a Lucid Studio. They play a critical role in delivering an elevated customer experience, creating brand connection, and supporting daily studio operations.   This is a   part-time role   that requires flexibility, including the ability to work evenings and weekends . Part Time Brand Ambassador can expect to work between 20-25 hours per week.     What You'll Do   Welcome guests, answer general inquiries, and schedule test drives   Capture high quality customer leads and interactions in CRM (Salesforce)   Conduct customer needs assessments (budget, preferences, timing)   Recommend suitable vehicles based on customer needs   Refer high potential leads to Sales Specialists   Ensure guests are directed to the appropriate next step in their journey   Build deep knowledge of the Lucid brand, vehicles, and services   Explain vehicle features, specifications, and pricing to stimulate consideration   Provide backend operational support (order paperwork, order/vehicle status clarity)   Support studio operations, including opening/closing checklists   Ensure test drive and showcase vehicles are clean, charged, and ready   Assist with facility needs (refreshments, maintenance requests)   Support day to day studio operations as needed   What You Bring   Exceptional interpersonal and communication skills   A passion for delivering outstanding customer experiences   Experience in a customer facing environment (retail, hospitality, food service, etc.)   Patience, professionalism, and adaptability in a dynamic retail setting   Interest in electric vehicles and enthusiasm for building the Lucid brand   Qualifications   Flexible availability including extended holiday mall hours, holidays and weekends   18 years old minimum   High School diploma/GED required    Prior experience with CRM tool such as Salesforce highly preferred    Authorized to work in the USA (visas sponsorship not available)   Physical requirements include the ability to twist, bend, squat, reach, and stand for extended periods of time with or without reasonable accommodation.    Where permitted by law, successful completion of a drug test and background check including, but not limited to, criminal records are a condition of employment for Lucid sales centers   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   Ability to obtain appropriate state DMV licensing, where applicable   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. Hourly rate: $25  giving you stable and predictable income from day one. 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.   INDSD 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  Mechanical Engineer, E-Motor/Dyno is responsible for designing intent assembly requirements of E-Motor Assemblies and Dyno metrics. Responsible for root cause analysis of product issues, interim containment action development/verification/implementation, & permanent corrective action development/verification/implementation where applicable with close collaboration with core engineering to ensure design intent & validation requirements are met. Key Responsibilities Work closely with Manufacturing cross-functional teams & DU test & validation teams to champion pending product issues/test specification related issues to resolution   Solve complex component/system level product or multi-variable issues using standard problem-solving techniques pertaining to E-Motor assemblies   Owns RCA of EOL DU failures at Dynamometer with manufacturing cross-functional teams with systematic data analysis & associated trends to help pinpoint the source of the issue   Strong understanding for engineering requirements behind test spec acceptance criteria & associated development into production EOL Dyno test specifications   Partner with DU test & validation team to correlate production dyno data with engineering validation data    Champion resolution of recurring production EOL Dyno fallout with potential cause as gaps in validation coverage in close collaboration with DU test & validation, NVH Teams etc.    Support development of improved screening methodologies based on field and validation learnings   Empower Manufacturing & Test engineers with know how to triage failures from Dynamometer to sustain operations     Responsible for design intent assembly requirements for E-Motor assembly , Dyno test specifications & associated enforcement on the line in close collaboration with cross-functional teams   Support new product launches, execute part concession deviations for E-Motor & Inverter assembl ies in the manufacturing plant without compromising design intent of the product   Support high volume production ramp activities pertaining to product engineering    Advice on build process development and possible improvements for high volume production lines to ensure variation in process within acceptable tolerance limits of design intent   Skills Experience in using DFMEA, PFMEA, Control Plan, DVP&R, DFM/DFA, & RCA with cross-functional teams   Exceptional communication and documentation skills using Atlassian products   Proficiency in Catia or 3DX, stack-up analysis (2D & 3D), SQL, JMP, etc.   Experience with Atlassian products such as Jira and Confluence   Collegiate FSAE, BAJA, or similar experience is preferred   Minimum Qualifications BS in Mechanical or Automotive Engineering disciplines with 5+ years of automotive experience in design and release of vehicle attributes or master's degree in mechanical or automotive disciplines with 5+ years of automotive experience in design & release of vehicle attributes   Experience in product problem solving using industry standard techniques   Experience in test automation tools (Python, MATLAB, AVL PUMA, REPS etc)   Excellent in data analysis using statistics Minitab or JMP, Python, MATLAB   Prior experience working in resident product engineering roles in the plant   Prior experience with E-Motor Assemblies, Dyno data analysis, & associated troubleshooting   Technical depth in electric motor gearbox assemblies (Castings, Oil cooling systems, Planetary gear trains, static/dynamic seals, stator, rotors, & half-shafts) & associated troubleshooting is required   Experience in product development or improvement of Drive Unit Assemblies   Exceptional communication and documentation skills are required   Six Sigma Green or Black Belt certification   Engineering-in-Training (EIT) certification or certification in engineering fundamentals         Compensation & Benefits:   Lucid offers a comprehensive and competitive  benefits package  including medical, dental, and vision insurance; life and disability coverage; paid time off; paid holidays, paid sick leave; and a 401(k) retirement plan. Hourly/non-exempt employees accrue up to 120 hours paid time off, and salaried/exempt employee accrue up to 160 hours paid time off.  Eligible employees may also participate in Lucid's equity program and/or a discretionary annual cash incentive program. Incentive and equity awards, if applicable, are determined based on individual performance, role scope, market considerations, and overall company results, in accordance with the terms of the applicable plans.   Equal Opportunity: At Lucid, we believe diversity strengthens everything we build. Lucid Motors is proud to be an equal opportunity employer and is committed to providing an inclusive workplace for all. We consider all qualified applicants without regard to race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity or expression, marital status, or any other characteristic protected by applicable state or federal laws and regulations.   Accessibility:  Lucid Motors is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need any accommodation to participate in the application process, please contact us at  TA-Operations lucidmotors.com . This email address is designated solely for accommodation requests and is not monitored for job applications or resume submissions. To be considered for employment, all applications must be submitted through the Lucid Motors Careers website. Candidate Data Privacy:  By submitting your application, you understand and agree that your personal data will be processed in accordance with our  Candidate Privacy Notice .   To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to Lucid Motors. Lucid Motors is not responsible for any fees related to unsolicited resumes.    

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo's Compute Team is tasked with a critical and exciting mission: We deliver the compute platform responsible for running the fully autonomous vehicle's software stack. To achieve our mission, we architect and create high-performance custom silicon; we develop system-level compute architectures that push the boundaries of performance, power, and latency; and we collaborate closely with many other teammates to ensure we design and optimize hardware and software for maximum performance. We are a multidisciplinary team seeking curious and talented teammates to work on one of the world's highest performance automotive compute platforms. In this hybrid role, you will report to an Engineering Manager. You will: Develop high-performance GPU primitives and abstractions to enable Waymo to scale its accelerator codebase across diverse GPU backends Collaborate with Waymo's internal hardware team and external partners on SoC projects with a focus on the GPU portion Manage the bring-up, correctness, and performance of the Waymo onboard stack on new GPU platforms Contribute to testing infrastructure that enhances the CI/CD flow for GPUs, detects bugs early, and generates automated alerts to maintain the GPU stack's functionality and performance Create profiler and debugger tools for new GPU platforms You have: Expertise in C++ programming for GPU (CUDA or similar framework) Bachelor degrees in EECS, coupled with a minimum of five years of industry experience Solid understanding of GPU software stack Solid understanding of key GPU hardware characteristics that are important to GPU SW efficiency Proficiency in utilizing performance analysis tools and debuggers Enthusiasm for developing the complete GPU software stack, from the hardware level to real-world applications We prefer: Master/doctorate degree in EECS Prior excellence in landing solid, sophisticated, and efficient solutions at any level of the GPU stack Deep insights into GPU kernel performance, compilation flow, and driver stack Knowledgeable of Linux driver and embedded firmware Ability to quickly ramp on a diverse set of heterogeneous platforms and start solving problems Clear technical communicator, good leader and collaborator Familiarity with GPU libraries such as Thrust, CUB, CUTLASS, or Eigen Experience contributing to open-source compiler projects such as LLVM or SPIR-V 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 $204,000 — $259,000 USD

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo's Systems Engineering team works together to blend software and hardware systems in groundbreaking new ways. We set the high performance standards that ensure our vehicles run smoothly and keep passengers safe, then design and perform the tests that validate that performance. We're looking for talented teammates who'll help us maintain strong teamwork and are passionate about driving results. This role follows a hybrid work schedule and reports to a Technical Lead Manager. You will: Develop agentic systems that accelerate release qualification and improve developer velocity Work across frontend and backend technologies, various languages, and large systems of software Deeply understand test development and test execution workflows, creating novel automation solutions Think big, and take on ambitious projects that require systems thinking and experimentation You have: Bachelor's degree or equivalent practical experience Experience building and productionizing agents, agent harnessing, and AI-backed systems 5+ years of working experience in C++ or Python Ability and ambition to learn new skills as they are needed We prefer: Experience as a Dev AI leader and policy maker Experience with robotics, firmware, hardware-in-the-loop, and other hardware-based software products Experience with test development, test automation, and test engineering Experience with UX design Experience with release management practices and tools   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 $213,000 — $263,000 USD

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Growth Machine Learning Engineering team partners closely with Data Science to take models from experimentation into reliable production. We own the underlying ML data infrastructure: standardizing shared feature definitions, eliminating data leakage in training pipelines, automating scheduled retraining, and establishing safeguards so faulty batch scoring runs never affect live promotions. By managing data integrity, deployment pipelines, and production monitoring, we provide the dedicated engineering support needed to keep model-driven growth initiatives dependable and scalable. You will: Own the feature layer between the Growth DB and the models. Work with data engineering on schema design for ML features, and with data science to turn their feature lists into versioned feature definitions that training and scoring both read from. Build point-in-time correct training data, so a retrain sees each day as it was and does not leak future data. Data science has already named this as a gap in today's pipelines. Take models data science has trained and put them into production: validate against the offline results, wire them into batch scoring, and add input and output checks that stop a bad run before promos go out. Lead training automation: scheduled retrains, a model registry, and validation before a new model version is promoted. Monitor models in production: feature drift, score distribution shifts, and model versus random arm results. Be data science's day-to-day engineering counterpart, so feature and modeling questions do not queue behind the tech lead. You have: Experience at roughly building production ML systems: feature pipelines, training data generation, batch inference. Strong SQL and Python, plus large-scale data processing (Flume, Beam, Spark or similar). Designed feature schemas or worked on a feature store, and understands point-in-time correctness and train/serve skew from having fixed them. Productionized and owned the lifecycle of an existing offline model Worked with data scientists and can turn a loose feature request into a spec. We prefer: Background in uplift modeling, causal inference or experimentation (A/B tests, holdouts), enough to understand what the models need. Experience in ads, marketing, recommendations, pricing or promotions. Familiarity with feature stores, workflow orchestration (Airflow or similar) and distributed SQL databases. #LI-Hybrid 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 $175,000 — $215,000 USD

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. This role follows a hybrid work schedule and reports to a Software Tech Lead Manager. You will: Own and drive the roadmap for ML-powered pickup and dropoff features, from problem definition through launch, in partnership with PM, UX, data science, and other commercialization engineering teams Train, evaluate, and deploy ML models for occupancy detection, rider-vehicle interactions, pullover selection, and lost and found Design fallback systems that cascade between onboard and offboard models based on latency, confidence, and connectivity Build distributed systems that span vehicles, cloud services, and rider apps, and that handle intermittent and inconsistent connectivity well Work across the stack (data pipelines, model serving, backend services, and client integration) to ship end-to-end, user-facing features Define success metrics and use offline evaluation, simulation, and live experiments to measure impact on service quality and rider experience You have: BS degree in Computer Science or equivalent practical experience 5+ years of software engineering experience, including building and deploying ML models into production Experience building backend distributed systems We prefer: Experience with C++ MS in Computer Science, or equivalent practical experience Experience in developing machine learning models, infrastructure, and pipelines Experience deploying models on-device or on edge hardware with compute and latency constraints Track record of owning ambiguous, user-facing problems end-to-end and setting your own technical direction Experience in autonomous vehicles or robotics Disclosure for WA Based & Remote Roles: In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include: Health, dental, vision, life, disability insuranceRetirement Benefits: 401(k) with company matchPaid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employmentSick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary) Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks Baby Bonding Leave: 18 weeks Holidays: 13 paid days per year US Remote Only: Please note that Waymo may not be able to employ remotely in all US locations. Please speak with your recruiter about your preferred location for remote work when you begin the interview process.   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 $213,000 — $263,000 USD

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you're a software engineer or researcher who's curious and passionate about Level 4 autonomous driving, we'd like to meet you.  The subteam for this role will be: The Predictive Planning team (PrePlan) develops and deploys state-of-the-art machine learning solutions that predict the future state of the world and plan the Waymo Driver's behavior. Our mission is to transform Waymo's unprecedented scale of driving data into robust, generalizable, and performant deep neural networks. These models enable the autonomous vehicle to navigate complex environments safely and efficiently. Waymo interns partner with leaders in the industry on projects that create impact to the company. We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skill-set. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship! You will: Research, implement, and evaluate state-of-the-art generative models for autonomous vehicle planning Develop next-generation, ML-powered systems that enhance the capabilities of the ML driver and accelerate the rapid scaling of Waymo's business Translate open-ended, real-world driving challenges into well-defined machine learning problems, applying cutting-edge techniques, including foundation models and reinforcement learning You have: Currently pursuing an MS or PhD in Computer Science, Machine Learning, Robotics, or a related technical field Hands-on experience with modern deep learning libraries (eg: TensorFlow, JAX, Pytorch) Proficient programming skills (eg: Python, C/C++) We prefer: Publications in top-tier conferences such as ICML, NeurIPS, CVPR, ICCV, ECCV, ICLR, IROS, CoRL, ACL, or EMNLP Hands-on experience deploying, evaluating, and maintaining ML-based systems in real-world, production environments General Perks Help solve challenging problems with a direct impact on the company Competitive compensation packages with a housing/relocation bonus (if applicable) Medical, dental, and vision insurance Fun intern events and networking opportunities Onsite Perks Free breakfast, lunch, dinner, and snacks  Free access to Google shuttles Onsite gym Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in. The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company's generous benefits programs, subject to eligibility requirements. Hourly Masters Pay $70 — $70 USD The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company's generous benefits programs, subject to eligibility requirements. Hourly PhD Pay $85 — $85 USD

  Peloton Interactive, Inc. seeks Senior Designer in New York, NY Job Duties : Work on a range of projects, from large campaigns to email and banner ecosystems. Work on digital experiences, campaign landing pages, and bringing the brand to life on our digital channels. Develop innovative brand visuals across campaigns, presentations, and digital platforms alongside Senior Designers & Creative leads. Create and maintain design systems that elevate the brand. Translate complex ideas into visually engaging and clear concepts. Stay current on contemporary design trends and industry developments, bringing fresh ideas into projects. Part-time telecommuting is an option. Hybrid work from Peloton's office in New York, NY. Minimum Requirements : Bachelor's degree (or its foreign degree equivalent) in Graphic Design, Digital Design, Fine Arts, or a related quantitative discipline, and three (3) years of experience in the job offered or in any occupation in a related field. Special Skill Requirements : Three years of experience required in the following: (1) Adobe Creative Suite; (2) Illustrator; (3) InDesign; (4) Photoshop; (5) AfterEffects; (6) QA/QC; (7) Visual systems; (8) Digital layouts; (9) Figma and Figma tools; and (10) Conceptual Design skills. Part-time telecommuting is an option. Hybrid work from Peloton's office in New York, NY. Salary: $160,500 to $188,871 per annum. Submit a resume with references to: Req. # L24-159680 via the Peloton Careers webpage: https://www.onepeloton.com/careers or by email at: onlinejobpostings@onepeloton.com .   #LI-DNI     ABOUT PELOTON: Peloton (NASDAQ: PTON) provides Members with expert instruction, and world class content to create impactful and entertaining workout experiences for anyone, anywhere and at any stage in their fitness journey. At home, outdoors, traveling, or at the gym, Peloton brings together innovative hardware, distinctive software, and exclusive content. Founded in 2012 and headquartered in New York City, Peloton has millions of Members across the US, UK, Canada, Germany, Australia, and Austria. For more information, visit www.onepeloton.com. Peloton is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. Equal employment opportunity has been, and will continue to be, a fundamental principle at Peloton, where all team members, applicants, and other covered persons are considered on the basis of their personal capabilities and qualifications without discrimination because of race, color, religion, sex, age, national origin, disability, pregnancy, genetic information, military or veteran status, sexual orientation, gender identity or expression, marital and civil partnership/union status, alienage or citizenship status, creed, genetic predisposition or carrier status, unemployment status, familial status, domestic violence, sexual violence or stalking victim status, caregiver status, or any other protected characteristic as established by applicable law. This policy of equal employment opportunity applies to all practices and procedures relating to recruitment and hiring, compensation, benefits, termination, and all other terms and conditions of employment.  If you would like to request any accommodations from application through to interview, please email: applicantaccommodations@onepeloton.com . At Peloton, we embrace technology, including AI, to enhance productivity and accelerate innovation in the work we do for our members. However, in our hiring process, our priority remains in getting to know you and your unique qualifications. To ensure a fair and equitable process, we do not permit the use of AI tools during any stage of the application and interview process. In considering you as an applicant, we want to understand your skills, experiences, and motivations without mediation through an AI system. We also want to directly assess your communication skills without the use of an AI tool.  Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance and the San Francisco Fair Chance Ordinance, as applicable to applicants applying for positions in these jurisdictions. Please be aware that fictitious job openings, consulting engagements, solicitations, or employment offers may be circulated on the Internet in an attempt to obtain privileged information, or to induce you to pay a fee for services related to recruitment or training. Peloton does NOT charge any application, processing, or training fee at any stage of the recruitment or hiring process. All genuine job openings will be posted here on our careers page and all communications from the Peloton recruiting team and/or hiring managers will be from an @ onepeloton.com email address.  If you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Peloton, please email applicantaccommodations@onepeloton.com before taking any further action in relation to the correspondence. Peloton does not accept unsolicited agency resumes. Agencies should not forward resumes to our jobs alias, Peloton employees or any other organization location. Peloton is not responsible for any agency fees related to unsolicited resumes.