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 Parts Advisor (back counter) position will oversee parts operations within the service center to provide the highest level of customer satisfaction while maximizing return on investment through parts inventory management. The Parts Advisor is an integral part of service center operations focused on parts efficiency to support seamless operations. The Role Effectively manage parts inventory by anticipating and addressing business needs to optimize operations Maintains an accurate and effective parts inventory control system that includes perpetual and annual inventories Order inventory and special-order parts for repairs Receive parts orders and stock them efficiently in designated storage area or assigned bins Effectively manages parts transfers from one Lucid Service location to another if applicable Generates parts estimates for customers, insurance companies or internal fleet vehicles to be sold by service advisor Stay up to date on latest part revision changes and refresh local inventory accordingly Achieve and maintain a high First Time Fill Rate (FTFR) for the Service Center's Parts Department, ensuring timely and accurate service Organize and oversee parts warranty returns, both in the system and physically Interpret and understand automotive terminology, enabling accurate and efficient part searches within the catalog allowing for precise parts ordering Promote sales of accessories according to Lucid guidelines Other duties as assigned Qualifications 2 – 5 years of experience as a Service Parts Advisor (back counter), with a strong track record of efficiently dispatching parts to technicians in the shop to support seamless operations Proficiency in parts catalog search for specific repair needs Willingness to obtain forklift certification, demonstrating a commitment to safety and operational efficiency in the workplace Ability to work independently and make timely decisions in a fast-paced environment, effectively minimizing downtime on repairs Excellent organizational skills and attention to detail Excellent communication and customer service skills Ability to use basic computer applications such as Microsoft Office as well as learn proprietary DMS software Ability to lift 50 lbs. Standing, walking, and bending for extended periods of time Full-time, including weekends or extended hours during busy periods 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 AA/BS in either Automotive Technology or Business Management, or equivalent work experience Knowledge of HV systems, LV systems, and EV powertrains Start-up experience and related fast-paced environments Previous OEM Parts training 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 Range : The compensation range for this position is specific to the locations listed below and is the range Lucid reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors. Base Pay Range (hourly) $28 — $38 USD Compensation & Benefits: Lucid offers a comprehensive and competitive benefits package including medical, dental, and vision insurance; life and disability coverage; paid time off; paid holidays, paid sick leave; and a 401(k) retirement plan. Hourly/non-exempt employees accrue up to 120 hours paid time off, and salaried/exempt employee accrue up to 160 hours paid time off. Eligible employees may also participate in Lucid's equity program and/or a discretionary annual cash incentive program. Incentive and equity awards, if applicable, are determined based on individual performance, role scope, market considerations, and overall company results, in accordance with the terms of the applicable plans. Equal Opportunity: At Lucid, we believe diversity strengthens everything we build. Lucid Motors is proud to be an equal opportunity employer and is committed to providing an inclusive workplace for all. We consider all qualified applicants without regard to race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity or expression, marital status, or any other characteristic protected by applicable state or federal laws and regulations. Accessibility: Lucid Motors is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need any accommodation to participate in the application process, please contact us at TA-Operations lucidmotors.com . This email address is designated solely for accommodation requests and is not monitored for job applications or resume submissions. To be considered for employment, all applications must be submitted through the Lucid Motors Careers website. Candidate Data Privacy: By submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice . To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to Lucid Motors. Lucid Motors is not responsible for any fees related to unsolicited resumes.
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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 Mobile Service Technician is a unique position that covers field service repairs. This position would be responsible for traveling to client locations and will be responsible for diagnosing, maintaining and repairing Lucid Motors vehicles in the field. Lucid provides Mobile Service Technicians with a service van or truck and provides the needed tools. This fixed operation position will work independently as well as a team where you will have the support of the closet service location. You will demonstrate your passion for sustainable transportation and creatively solve problems in a fast-paced environment. As a Mobile 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: Function as a Service Advisor and perform parts department duties including ordering, returns, and inventory management Work directly with clients to provide a high level of customer experience Effectively work with the appropriate software suite to properly and completely document all customer vehicle interactions Maintain a high knowledge level of High Voltage (HV), Low Voltage (LV), and general Electric Vehicle (EV) systems Properly perform the walk-around and write-up processes, accurately ascertaining primary concern through verbal interview and visual assessment to assess client needs accurately Accurately document client concerns for diagnosis and repair Follow correct repair order documentation procedures, i.e. The Three C's Invoice and collect payment Perform customer service duties such as answer phones, scheduling appointments (where needed), and calling customers to update them on repair status, or to follow up after repairs are completed Review appointment schedule to plan travel time and visit duration for mobile services Provide support at Service Center based on demand Ability to travel in assigned territory and other service locations Other duties as assigned Qualifications: 2-5 years of experience as an automotive service technician Self-sufficient, highly organized and comfortable working independently and as part of a team Knowledge of High Voltage systems, Low Voltage systems, and Electric Vehicle powertrain Customer facing experience exhibiting excellent written and verbal communication skills Proficient in 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) Previous Mobile Service Technician experience Previous experience with EV diagnosis and repair 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. INDFS Compensation Range : The compensation range for this position is specific to the locations listed below and is the range Lucid reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors. Base Pay Range (hourly) $31 — $43 USD Compensation & Benefits: Lucid offers a comprehensive and competitive benefits package including medical, dental, and vision insurance; life and disability coverage; paid time off; paid holidays, paid sick leave; and a 401(k) retirement plan. Hourly/non-exempt employees accrue up to 120 hours paid time off, and salaried/exempt employee accrue up to 160 hours paid time off. Eligible employees may also participate in Lucid's equity program and/or a discretionary annual cash incentive program. Incentive and equity awards, if applicable, are determined based on individual performance, role scope, market considerations, and overall company results, in accordance with the terms of the applicable plans. Equal Opportunity: At Lucid, we believe diversity strengthens everything we build. Lucid Motors is proud to be an equal opportunity employer and is committed to providing an inclusive workplace for all. We consider all qualified applicants without regard to race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity or expression, marital status, or any other characteristic protected by applicable state or federal laws and regulations. Accessibility: Lucid Motors is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need any accommodation to participate in the application process, please contact us at TA-Operations lucidmotors.com . This email address is designated solely for accommodation requests and is not monitored for job applications or resume submissions. To be considered for employment, all applications must be submitted through the Lucid Motors Careers website. Candidate Data Privacy: By submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice . To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to Lucid Motors. Lucid Motors is not responsible for any fees related to unsolicited resumes.
About Lucid At Lucid, we are creating exceptional mobility experiences through innovation to drive the world forward. Built on Lucid's proprietary technology and software-defined vehicle architecture, our award-winning vehicles bring our "Compromise Nothing™" approach to the global automotive market. That means refusing to choose between performance and sustainability, design and engineering, ambition and integrity. In Lucid Air and Lucid Gravity, we have designed and built vehicles that have redefined their segments, combining exceptional range, performance, design, and expansive space in a single experience. We achieve this through deep vertical integration, with design, engineering, and production happening in-house across our global offices and manufacturing facilities. Our teams come from industries around the world, united by a shared commitment to excellence. By refusing to settle, you can help redefine what's possible and shape the future of mobility. The GeoAI team is building next-generation AI-powered data automation platforms for ADAS and autonomous driving. We are seeking a Machine Learning Engineer to develop scalable auto-labeling technologies that transform fleet-collected sensor data into high-quality training datasets with minimal human intervention. This role sits at the intersection of machine learning, computer vision, spatial AI, and large-scale data infrastructure. You will work on perception models, 3D scene reconstruction, foundation models, and automated data-generation systems that accelerate autonomous-driving development. The Role: Build Next-Generation Auto-Labeling Systems Design and deploy production-scale auto-labeling solutions for 2D and 3D object detection, semantic and panoptic segmentation, lane and road-structure extraction, multi-object tracking, occupancy, scene understanding, and traffic-participant behavior. Develop automated label validation, confidence scoring, consistency checks, and quality-monitoring frameworks. Build active-learning and human-in-the-loop workflows that improve label quality while reducing manual annotation effort and turnaround time. Create teacher-student and model-assisted labeling workflows for large-scale camera and LiDAR datasets. Develop Advanced Perception and Fusion Models Research, train, and evaluate camera-based and LiDAR-based detection, segmentation, tracking, depth-estimation, and occupancy models. Develop multimodal fusion models combining camera , LiDAR, radar, GNSS/IMU, and map context. Improve temporal consistency, calibration robustness, and long-tail performance across diverse driving environments and edge cases. Build end-to-end ML workflows from raw sensor ingestion and preprocessing through annotation, quality control, and dataset delivery. Leverage Spatial AI and 3DGS Develop 3D Gaussian Splatting (3DGS) and related reconstruction pipelines for large-scale driving scenes collected from fleet vehicles. Use reconstructed scenes for label propagation, synthetic annotation generation, annotation validation, rare-case augmentation, and simulation. Create scene-centric representations that improve geometric accuracy and consistency across sensors, viewpoints, and time. Apply Foundation Models to Data Automation Apply Vision-Language Models (VLMs), Vision-Language-Action (VLA) models, and multimodal foundation models to scene interpretation, label generation, verification, and edge-case discovery. Develop natural-language and agent-based workflows that help engineers search, inspect, curate, and validate large-scale datasets. Evaluate state-of-the-art research and convert promising methods into reliable production capabilities. Productionize ML Solutions Build scalable training and inference pipelines for fleet-scale datasets and distributed GPU infrastructure. Optimize model performance, throughput, reliability, monitoring, and reproducibility across cloud and production environments. Collaborate with perception , mapping, navigation, simulation, hardware, logging, and data-platform teams to deploy end-to-end solutions. Define and track metrics for labeling accuracy, coverage, throughput, cost, and operational efficiency. Qualifications: MS or PhD in Computer Science, Machine Learning, Robotics, Computer Vision, or a related field. Strong software-engineering skills in Python and/or C++, with hands-on experience using PyTorch or equivalent deep-learning frameworks. Solid understanding of deep learning, computer vision, 3D geometry, multi-view reconstruction, sensor fusion, and transformer architectures. Experience developing detection, segmentation, tracking, depth, occupancy, or multimodal perception models. Experience building, evaluating, and deploying machine-learning systems using large-scale datasets. Ability to work independently and collaborate effectively across research, software, data, and vehicle teams. Preferred: Experience in autonomous driving, robotics, mapping, AR/VR, or spatial computing. Hands-on experience with 3DGS, NeRF , neural rendering, world models, or synthetic data generation. Experience building auto-labeling platforms, active-learning systems, human-in-the-loop workflows, or automated label-quality systems. Experience with camera-LiDAR fusion, depth estimation, 3D detection and tracking, and multimodal foundation models. Familiarity with VLMs, VLA models, SAM-family segmentation models, distributed computing, Docker, Kubernetes, CI/CD, and cloud ML infrastructure. 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. Role Summary We're looking for a Lead Designer who combines strong visual craft with exceptional creative instincts. This is a hands-on role for someone who can contribute to design direction and creative concept development, executing compelling creative work across a wide range of brand assets, including digital and physical surfaces. The ideal candidate has experience in-house within a brand, creative, or design studio environment. They understand how to build a brand — translating positioning into culturally-relevant visual worlds, graphics, and collateral through distinctive visual systems, guidelines, and strong art direction. They are equally comfortable from initial concept through final design execution. Key Responsibilities Develop creative concepts and visual narratives for brand assets, product launches, content initiatives, and brand programs Art direct photography, motion, illustration, and content programs to ensure a cohesive and elevated brand expression Create mood boards, creative territories, storyboards, and visual frameworks that bring ideas to life Design high-quality creative across digital, social, web, presentations, events, editorial, and marketing touchpoints Partner with writers, strategists, marketers, creative groups, and cross-functional teams to create impactful brand experiences Collaborate with external agencies, photographers, filmmakers, illustrators, and production partners throughout the creative process Help evolve and maintain brand guidelines, visual systems, and creative standards Translate strategic briefs into compelling concepts that are both creatively ambitious and grounded in business objectives Present and communicate creative ideas with clarity and confidence Stay current on culture, design, photography, fashion, media, and emerging creative trends that influence modern brand building Minimum Qualifications 8-10 years of experience in brand design, art direction, visual design, and creative development Strong portfolio demonstrating concept-driven work and exceptional visual execution Experience working in-house with a brand, plus experience at a creative agency, brand studio, or design consultancy Proven ability to contribute to and execute art direction across campaigns, content, photography, and digital experiences Strong understanding of branding, visual identity systems, typography, layout, composition, color, and storytelling Demonstrated ability to move from insight and concept through final execution Proficiency in Figma and Adobe Creative Suite Strong competency within AI workflows that optimize creative development and brand/design management across an organization Strong communication, collaboration, and presentation skills Ability to manage multiple projects and thrive in a fast-paced creative environment Preferred Qualifications Thinks conceptually before designing Has a refined visual point of view and a passion for brand building Understands how imagery, motion, typography, and storytelling work together to create emotional connection Can develop creative territories, visual worlds, and campaign ideas, not just individual assets Balances strategic thinking with a strong maker mentality Brings strong taste, curiosity, and attention to craft Excels in collaborative studio environments and enjoys building alongside other creatives Experience working with premium consumer audiences, across technology, automotive, fashion/lifestyle, or luxury brands Motion design, illustration, AI-assisted creative exploration, or content creation experience Experience contributing to brand launches, rebrands, or large-scale integrated campaigns Salary Range : The compensation range for this position is specific to the locations listed below and is the range Lucid reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors. Base Pay Range (Annual) $123,900 — $170,390 USD Compensation & Benefits: Lucid offers a comprehensive and competitive benefits package including medical, dental, and vision insurance; life and disability coverage; paid time off; paid holidays, paid sick leave; and a 401(k) retirement plan. Hourly/non-exempt employees accrue up to 120 hours paid time off, and salaried/exempt employee accrue up to 160 hours paid time off. Eligible employees may also participate in Lucid's equity program and/or a discretionary annual cash incentive program. Incentive and equity awards, if applicable, are determined based on individual performance, role scope, market considerations, and overall company results, in accordance with the terms of the applicable plans. Equal Opportunity: At Lucid, we believe diversity strengthens everything we build. Lucid Motors is proud to be an equal opportunity employer and is committed to providing an inclusive workplace for all. We consider all qualified applicants without regard to race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity or expression, marital status, or any other characteristic protected by applicable state or federal laws and regulations. Accessibility: Lucid Motors is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need any accommodation to participate in the application process, please contact us at TA-Operations lucidmotors.com . This email address is designated solely for accommodation requests and is not monitored for job applications or resume submissions. To be considered for employment, all applications must be submitted through the Lucid Motors Careers website. Candidate Data Privacy: By submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice . To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to Lucid Motors. Lucid Motors is not responsible for any fees related to unsolicited resumes.
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. You will: Lead cross-organizational efforts to enhance system efficiency, deployment speed, and maintainability. Improve developer experience and system visibility by streamlining infrastructure workflows Optimize model serving infrastructure to maximize the perception system's model performance. Develop and scale robust infrastructure for large-scale data processing, extraction, and evaluation. Support expansive machine learning development, including data mining, debugging, and visualization tools. Contribute to systems development by enhancing testing, performance analysis, and deployment pipelines. You have: Bachelor's degree in Computer Science, Computer Engineering, or a related field and 7 years of progressive post-baccalaureate experience in the job offered or in a Software Engineer-related occupation. Alternatively, will accept a Master's degree in Computer Science, Computer Engineering, or a related field and 5 years of experience in the job offered or in a Software Engineer-related occupation. Position requires 5 years of experience in the following: C++ programming; Distributed system design; Large-scale data pipeline development; Distributed data processing frameworks; and Robotics engineering or Machine learning engineering. 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 $295,000 - $310,000 USD Position reports to the Waymo office & may allow for a hybrid schedule per Waymo policy. #LI-DNI
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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: Team: Systems Intelligence and Machine Learning (SIML) Subteam: ML Frameworks and Efficiency Description: Scale the world's most trusted driver by delivering state-of-the-art ML capabilities, efficient and reliable infrastructure, and an ecosystem built for rapid innovation at Waymo. 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: Understand the problem the current LPM model is trying to solve along with its details Improve/extend the current RL infrastructure to support LPM model training needs Profiling and understanding slowness, maintain and improve the training efficiency Identify promising new RL technologies and integrate to our infrastructure You have: Currently pursuing a PhD/Master degree in Computer Science, Electrical Engineering, Machine Learning, Robotics, or a related technical field Fundamental understanding of machine learning, deep learning and reinforcement learning Familiar with modern frameworks (JAX, Flax, PyTorch, or TensorFlow) Strong software development skills with Python We prefer: Has experience on ML or RL with hands-on projects Has experience on large scale ML system infrastructure Has experience in working with autonomous driving or relevant technologies 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
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 team for this role will be: Driver Refinement Foundations Description: The team is accountable for providing the common, consistent framework (and enabling expertise) for post-training and heuristic hill climbing across the entire Planner organization. We build fundamental platforms to assist Waymo engineers in delivering driving behavior improvements using data-driven and heuristic methods. 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: Mine and curate dataset samples from large corpus of driving data Leverage large language models and world foundation models for reasoning, decision making and multi-modality generation Design and implement robust data generation pipelines for data generation Design and evaluate experiments for model training Designing robust data generation pipelines for model training You have: Currently enrolled in a graduate program (Master's or PhD) in Computer Science or a related technical field You have strong problem solving and programming skills in Python and/or C++ Good understanding of Jax/Pytorch Experience in model evaluation and understanding metrics Experience in strong software engineering principles We prefer: Some understanding of SQL is preferred, not required Previous Internship experience PhD preferred 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
At Playlist, life's richest moments happen when people step away from screens to move, connect, explore, and play. We're building the definitive platform for intentional living, connecting people with inspiring experiences in fitness, wellness, and beyond. With popular brands like Mindbody and ClassPass, Playlist empowers businesses and individuals, making it effortless for aspirations to become actions. Join us in reshaping technology's role to foster meaningful, real-world connections. ClassPass offers thousands of fitness and wellness experiences worldwide, helping people lead active, balanced lifestyles. Our platform makes discovering and enjoying activities simple, personalized, and joyful—whether it's fitness classes, self-care sessions, a healthy lunch, or a new adventure. Join us in shaping healthier, more vibrant communities around the globe. Über das Team Das ClassPass International Team ist für das Wachstum und die Stärkung unseres Partner-Ökosystems in den globalen Märkten verantwortlich. Gemeinsam mit EGYM Wellpass, beide Teil der Playlist-Familie, nutzen wir gezielt Synergien, um unser Angebot noch stärker zu machen. Dazu gehören sowohl die Akquise hochwertiger neuer Partner aus den Bereichen Fitness, Wellness und Erlebnisangebote als auch die Pflege und der Ausbau der Beziehungen zu bestehenden Partnern. Durch die Kombination aus Marktexpertise, starken lokalen Beziehungen sowie strategischem Vertriebs- und Account-Management stellt das Team sicher, dass wir unseren Mitgliedern einen außergewöhnlichen Mehrwert und unseren Partnern langfristigen Erfolg bieten. Über die Rolle Als Field Account Executive in der Region Munich bist du für das Wachstum unseres Partnernetzwerks in deiner Region verantwortlich. Du gewinnst neue Partner aus den Bereichen Wellness, Fitness und Gesundheit für ClassPass und baust Beziehungen zu bestehenden Partnern weiter aus. Dadurch trägst du maßgeblich dazu bei, dass Tausende Endkund:innen echten Mehrwert durch einen gesunden Lebensstil erleben. Lust auf echten Impact? Dann bewirb dich jetzt! Deine Aufgaben Du identifizierst und akquirierst eigenverantwortlich neue Partner aus den Bereichen Fitness, Wellness und Gesundheit und verantwortest deine eigene Sales Pipeline, von der ersten Kontaktaufnahme bis zum Vertragsabschluss. Du baust langfristige, vertrauensbasierte Beziehungen zu deinen Partnern auf und unterstützt sie bei operativen Fragen. Du lebst ein Field-first-Mindset: Persönliche Vor-Ort-Termine stehen bei dir an erster Stelle, ergänzt durch gezielte Inside-Sales-Taktiken, um deine Pipeline voranzutreiben. Du baust dir ein starkes Netzwerk in der regionalen Fitness- und Wellness-Community auf. Du dokumentierst deine Aktivitäten strukturiert in Salesforce und überzeugst potenzielle Partner bis zum erfolgreichen Vertragsabschluss. Das bringst du mit Du bringst ein bis zwei Jahre Vertriebserfahrung mit, idealerweise aus einem schnelllebigen B2B-Umfeld, und beherrschst Field- sowie Inside-Sales-Techniken sicher. Du kannst einen erfolgreichen Track Record vorweisen und erreichst oder übertriffst deine monatlichen Ziele regelmäßig. Du wohnst in Munich oder der näheren Umgebung und kennst die Region, die Menschen und die lokale Kultur. Erste Kontakte in die Fitness- und Wellnessbranche sind ein Plus. Du hast idealerweise Erfahrung mit Salesforce oder Salesloft und bist sicher im Umgang mit Microsoft Office. Du bist bereit, regelmäßig in deiner Region unterwegs zu sein. Du sprichst Deutsch auf muttersprachlichem Niveau und verfügst über sichere Englischkenntnisse. Deine Benefits 25 Urlaubstage pro Jahr plus zusätzliche, unternehmensweite monatliche Wellness Days zum Auftanken, etwa ein Tag pro Monat. Remote-Arbeit in deiner Region mit der Option auf eine WeWork All Access-Mitgliedschaft . Vergünstigter ClassPass-Tarif und kostenloser Zugang zur Meditations-App Calm . Monatliche Zuschüsse: 52 € Wellness-Budget über Benepass sowie eine 50 € Homeoffice-Pauschale . Professionelle Unterstützung für deine mentale Gesundheit über Spring Health . Familienplanungs- und Fruchtbarkeitsleistungen über Carrot . Teilnahme an unserem Anerkennungsprogramm Bonusly , mit dem wir besondere Leistungen gemeinsam feiern. Kontakt Du hast Fragen zur Rolle oder zum Bewerbungsprozess? Dann melde dich gerne direkt bei mir. Ich freue mich, von dir zu hören! Kontaktperson: Andrew Murphy Have we piqued your curiosity? Sound like the role for you? We'd love to hear from you! Even if you're not 100% sure about potential fit, we still encourage you to apply. We're looking for the right person, not the perfect series of checkboxes. The Company is an Equal Opportunity Employer. We highly value diversity at our company and encourage people of all different backgrounds, experiences, abilities and perspectives to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other protected characteristics. By entering your email and phone number and submitting your application, you consent to receive emails, calls and SMS about your application and other roles at The Company, including by auto-dialer. Message and data rates may apply. Opt-out or text STOP to cancel at any time. If you are a California resident or reside outside the United States then by submitting your application you confirm that you have read, understood, agree and - where applicable - grant your prior, free, informed and express consent for the processing of your personal information, including sensitive personal information, as described in our California Applicant Privacy Notice or International Applicant Privacy Notice (as applicable).
ABOUT THE ROLE We are looking for a Senior Data Scientist specializing in Marketing Mix Modeling (MMM) to help build and scale our in-house global marketing measurement capability. This role will own the development, validation, and evolution of statistical models that measure the incremental impact of marketing investment across channels, funnel stages, products, markets, and business outcomes. The ideal candidate combines deep hands-on MMM experience, strong statistical programming skills, and strong business storytelling capabilities. This person should be equally comfortable working directly with model code and translating complex analytical outputs into actionable recommendations for Marketing, Media, Finance, and executive leadership. The Senior Data Scientist will have a strong understanding of MMM methodology and be comfortable working across multiple modeling approaches, including custom-built Bayesian models and established MMM frameworks. They should be able to understand underlying code, evaluate alternative methodologies, diagnose model behavior, and adapt or extend the modeling approach as business and measurement needs evolve. Beyond core MMM development, this person will help build response and saturation curves, marketing budget optimization and scenario-planning capabilities, and models measuring marketing's impact on intermediate outcomes such as brand health and organic traffic. The successful candidate will help establish MMM as a scalable internal global decision-making capability that enables the business to understand what marketing and media drove, why performance changed, and where to invest next. They will build robust measurement of incremental marketing contribution across channels, products, markets, and the customer funnel; connect model results with changes in investment, media strategy, buying behavior, audience strategy, and market conditions; and translate MMM into response curves, marginal effectiveness, scenario planning, and optimization capabilities that inform future marketing investment decisions. Success means building a capability that is statistically credible, technically scalable, and actionable enough to influence real marketing and financial decisions. YOUR DAILY IMPACT AT PELOTON Develop, maintain, and enhance global Marketing Mix Models measuring incremental marketing impact across channels, products, markets, and business outcomes Work directly with underlying modeling code to diagnose, modify, and extend the modeling framework Evaluate alternative model specifications, methodologies, transformations, interactions, and assumptions based on statistical performance and business context Develop and evaluate appropriate adstock and carryover transformations, recognizing differences in how brand/upper-funnel, consideration/traffic-driving, and performance/lower-funnel media influence consumer behavior Identify and incorporate appropriate baseline and control variables, including seasonality, promotions, pricing, product availability, macroeconomic and industry factors, organic demand, and other relevant business drivers Diagnose model fit, stability, contribution estimates, incrementality, and potential issues including multicollinearity, confounding, cannibalization, or implausible model behavior Develop robust validation approaches using holdouts, out-of-sample performance, experiments, and other available sources of incrementality evidence Develop models measuring media's impact on intermediate outcomes, including brand metrics and organic/direct traffic Identify and evaluate new variables and hypotheses that improve our understanding of how marketing influences consumer behavior Connect upper-, mid-, and lower-funnel measurement and account for differences between short-term response and longer-term marketing impact Develop channel-level response and saturation curves to quantify diminishing marginal returns to marketing investment Translate MMM outputs into measures including incremental CAC, ROI, response rates, average effectiveness, and marginal effectiveness Develop a global marketing budget optimization and scenario-planning capability to evaluate alternative spend levels, channel allocations, and investment strategies Incorporate real-world constraints such as minimum and maximum spend levels, channel scalability, seasonality, and business priorities into optimization Evolve these capabilities into scalable decision-support tools for Analytics, Marketing, Media, and Finance Go beyond reporting model outputs to identify the business story behind changes in marketing performance Analyze how changes in media strategy and buying behavior—including shifts between reach, traffic, and conversion optimization—affect incremental CAC, ROI, response rates, and marginal effectiveness Distinguish between changes driven by investment levels, media efficiency, audience strategy, channel mix, market conditions, and other business factors Translate analytical findings into clear recommendations around marketing investment, channel allocation, and strategy Partner closely with Media teams to ensure analytical conclusions are grounded in how campaigns are planned, bought, and optimized Develop decision-oriented presentations for Marketing and Media teams, explaining model results, performance drivers, opportunities, and implications Build concise executive-level narratives that translate sophisticated statistical analysis into business implications and investment decisions Communicate model uncertainty, limitations, and tradeoffs clearly to technical and non-technical stakeholders Partner with Data Engineering and Analytics teams to build reliable, scalable data pipelines supporting recurring MMM refreshes Help automate model ingestion, execution, validation, reporting, and monitoring Contribute to user-facing scenario-planning and optimization tools and establish documentation, QA standards, model governance, and repeatable processes YOU BRING TO PELOTON 5–6+ years of professional experience in Data Science, Marketing Science, Marketing Analytics, Econometrics, or a related quantitative field Demonstrated hands-on experience developing and evolving Marketing Mix Models; direct MMM modeling experience is required Strong understanding of MMM methodology, including adstock/carryover transformations, response and saturation curves, diminishing returns, baseline/control variables, model specification, and model validation Strong statistical programming skills, particularly Python and/or R, with the ability to understand, debug, modify, and extend modeling code Experience working across different MMM approaches and adapting methodologies based on the analytical and business problem Experience developing response/saturation curves and marketing budget optimization or scenario-planning methodologies using MMM outputs Strong understanding of marketing measurement concepts including incrementality, CAC, ROI, marginal effectiveness, response rates, attribution, and funnel dynamics Ability to interpret how changes in media strategy, buying approach, audience strategy, and optimization objectives influence marketing performance Demonstrated ability to translate sophisticated analytical work into clear business narratives, recommendations, and executive-level presentations Strong communication and cross-functional partnership skills Experience developing and scaling in-house MMM capabilities and working across custom-built and established/open-source MMM frameworks Experience measuring marketing's impact on brand awareness, consideration, search, site traffic, or organic demand Experience calibrating or validating MMM using experiments, geo tests, holdouts, or other causal measurement approaches Data engineering experience, including automated analytical pipelines and productionized modeling workflows Experience developing analytical applications, optimization interfaces, or internal decision-support tools Experience with Java or other software engineering languages/frameworks, visualization/BI platforms such as Tableau, and/or consumer, subscription, e-commerce, or direct-to-consumer businesses #LI-KM1 #LI-Hybrid The base salary range represents the low and high end of the anticipated salary range for this position based at our New York City headquarters. The actual base salary offered for this position will depend on numerous factors including, without limitation, experience and business objectives and if the location for the job changes. Our base salary is just one component of Peloton's competitive total rewards strategy that also includes annual equity awards and an Employee Stock Purchase Plan as well as other region-specific health and welfare benefits. As an organization, one of our top priorities is to maintain the health and wellbeing for our employees and their family. To achieve this goal, we offer robust and comprehensive benefits including: Medical, dental and vision insurance Generous paid time off policy Short-term and long-term disability Access to mental health services 401k, tuition reimbursement and student loan paydown plans Employee Stock Purchase Plan Fertility and adoption support and up to 18 weeks of paid parental leave Child care and family care discounts Free access to Peloton Digital App and apparel and product discounts Commuter benefits and Citi Bike Discount Pet insurance and so much more! Base Salary Range $173,500 — $213,100 USD 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.
About Coursera + Udemy Coursera and Udemy are now one company, bringing together two mission-driven brands to create the world's most powerful platform for turning learning into progress. Together, we help more than 300 million learners and 12,000+ enterprise customers build the skills they need for a world being reshaped by AI. Read more about the combined company by visiting our blog . Why join us now? AI is transforming how people learn, work, and grow, and the need for new skills has never been greater. Coursera brings trusted content and credentials from leading university and industry partners, while Udemy brings a dynamic skills marketplace and global network of real-world experts. By combining these strengths, we can connect more people and organizations to the skills they need, when they need them. Shape what comes next By joining our team, you'll have the opportunity to reshape how the world learns and applies skills—and help millions of people participate in the new economy. Bring your ideas, expertise, and perspective to meaningful work that can make a difference at global scale. Coursera + Udemy lets you choose the best way to work, whether it's from home, an office, or a collaboration space. We're a globally distributed team that comes together intentionally for collaboration, complex problem-solving, and key milestones — creating opportunities for teams to come together. If you're ready to make a global impact, help scale unique products across Coursera + Udemy, and grow your career, apply below. About this role: We are seeking a highly motivated and experienced Large Enterprise Account Executive, LATAM to join our dynamic sales team in Brazil. The ideal candidate will be responsible for identifying and closing new business opportunities with enterprise-level clients, which are companies with 6,000 employees and above. You will focus on identifying new business opportunities, in addition to land and expand by fostering relationships to maximize opportunities within these organizations. About your skills: Problem Solving: You are skilled in creative problem-solving techniques to address client needs, overcome obstacles, and drive sales outcomes, ensuring customer satisfaction and business success. Coachability: You demonstrate a strong willingness to learn, adapt, and incorporate feedback to enhance strategies and achieve performance targets, fostering continuous personal and professional growth. Curiosity: You exhibit a natural curiosity and hunger for knowledge, constantly seeking to understand market trends, customer preferences, and competitive analysis to inform strategy and drive business success. Outbound Mindset: You possess a proactive outbound mindset, driven to identify new business opportunities, cultivate relationships with prospects, effectively communicate value and supported by your research and rigor throughout the process. AI Proficiency: You demonstrate strong AI literacy by adopting and mastering new sales technologies—such as GenAI, conversational intelligence, and AI-powered tooling—to drive efficiency. You utilize prompt engineering to create personalized messaging and to gain insight for customer meetings. You leverage data-driven insights from AI tools to craft high-impact pitches for C-level executives. What you'll be doing: Identify, prospect, and qualify new enterprise-level business and upsell opportunities within assigned territory Coordinate and work with Udemy Business team (Customer Success, Solutions Engineering, Marketing, Product, Deal Desk, Legal, key executives) to ensure territory success; customer satisfaction, expansion and retention Build and maintain strong relationships with key decision-makers to understand clients' business objectives and challenges to effectively position our solutions as a strategic fit Develop and execute strategic sales plans to meet and exceed sales targets Leverage AI-powered sales technologies, GenAI, and conversational intelligence tools to drive efficiency throughout enterprise sales cycles Utilize prompt engineering to create personalized messaging for large enterprise prospects and generate insights for executive meetings Apply data-driven insights from AI tools to craft high-impact pitches tailored for C-level executives and key stakeholders Lead negotiations and close complex sales deals, ensuring contracts are executed accurately and in a timely manner Stay updated on industry trends, market dynamics, customer feedback and competitor activities; then relay and share any insights with your team! Qualifications: While this work is based more on the skills a person has than what they have done, we think a typical profile could include the following: We are looking for a highly motivated, over-achieving "hunter and closer" who flourishes in a fast-paced, dynamic environment A minimum of 7+ years of closing experience in B2B Enterprise sales (SaaS experience preferred) or equivalent Enterprise-style go-to-market playbook that includes value-based selling and leveraging Value Engineers/Solution Engineers in pre-sales Experience partnering with other Account Executives in an overlay specialist sales model Success in opportunity creation and "full funnel" management of many opportunities Strong AI literacy with experience adopting and mastering new sales technologies in enterprise environments Proficiency in prompt engineering and interpreting AI-driven insights to enhance enterprise sales effectiveness Proven history of exceeding targets in selling licenses/products/subscriptions to Enterprise organizations with demonstrated ownership of all aspects of territory management Compensation This is a remote role based in Brazil. The OTE range for this position is BRL 592,000- BRL 740,000. Posting Date: October 23, 2026 We anticipate the application window until November 30, 2026. Based on business needs, this opportunity may remain posted beyond or closed before the anticipated application window. #LI-KM3 For more information about how Coursera collects and uses your personal information, please see our Coursera + Udemy Global Applicant Privacy Notice . To protect against recruitment fraud, Coursera + Udemy recruiters only communicate via official coursera.org/udemy.com email addresses and never through personal accounts. We do not accept resumes via email or social media; please submit all applications directly through our careers page. If you encounter suspicious recruitment activity, please report it via our Fraudulent Activity Submission Form. Coursera is an Equal Opportunity Employer committed to building a welcoming and inclusive workplace. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request at recruiting@coursera.org.
About Coursera + Udemy Coursera and Udemy are now one company, bringing together two mission-driven brands to create the world's most powerful platform for turning learning into progress. Together, we help more than 300 million learners and 12,000+ enterprise customers build the skills they need for a world being reshaped by AI. Read more about the combined company by visiting our blog . Why join us now? AI is transforming how people learn, work, and grow, and the need for new skills has never been greater. Coursera brings trusted content and credentials from leading university and industry partners, while Udemy brings a dynamic skills marketplace and global network of real-world experts. By combining these strengths, we can connect more people and organizations to the skills they need, when they need them. Shape what comes next By joining our team, you'll have the opportunity to reshape how the world learns and applies skills—and help millions of people participate in the new economy. Bring your ideas, expertise, and perspective to meaningful work that can make a difference at global scale. About this role: As a Customer Success Specialist in our Pooled Customer Success EMEA team, you'll support a diverse set of customers through structured engagement sessions, value-driven conversations, and proactive outreach. You'll help customers reach their learning goals while driving key outcomes like retention, adoption, and expansion. Because this service model is evolving, you'll have the chance to shape it by testing new workflows, optimizing handoffs, and sharing insights with leadership. You'll gain exposure to organizations across EMEA and influence customer impact at scale. About your skills: Customer Success Management Core framework for ensuring customers achieve desired outcomes and reach learning goals. Customer Engagement Conducting structured engagement sessions and proactive outreach to foster long-term relationships. Customer Retentions Maintaining relationships and supporting key retention outcomes through value-driven conversations. What you'll be doing: Lead engagement sessions that connect customer goals to measurable value and improved learning outcomes. Use customer insights, analytics, and usage patterns to surface risks, highlight opportunities, and guide next steps. Partner with Sales, Renewals, Support, and other teams to resolve issues, strengthen customer alignment, and support revenue outcomes. Manage and prioritize your queue of CTAs, tickets, and assignments with accuracy, speed, and consistent documentation. Translate customer feedback into insights for Product and internal teams to support improvements across the platform. Help refine and expand the pooled model by testing new processes, sharing observations, and contributing to scalable playbooks. Qualifications: Full business-level proficiency in French, both written and spoken. Experience of 1+ years in customer success, account management, sales, or another customer-facing role, ideally in SaaS or tech. Demonstrated ability to think critically, solve problems in ambiguous situations, and guide customers with limited information. Analytical and data-driven mindset with experience using metrics to identify trends, risks, and opportunities. Demonstrated ability to communicate clearly in writing and verbally, with the capacity to adjust your style across different audiences. Demonstrated organizational habits, attention to detail, and a consistent approach to documentation and data hygiene. Track record of meeting or exceeding customer impact metrics with a results-oriented approach. Posting Date Posting Date: October 24, 2026 Application Window: October 24 - November 10, 2026 We anticipate the application window will be open until November 10, 2026. Based on business needs, this opportunity may remain posted beyond or closed before the anticipated application window. #LI-JB1 For more information about how Coursera collects and uses your personal information, please see our Coursera + Udemy Global Applicant Privacy Notice . To protect against recruitment fraud, Coursera + Udemy recruiters only communicate via official coursera.org/udemy.com email addresses and never through personal accounts. We do not accept resumes via email or social media; please submit all applications directly through our careers page. If you encounter suspicious recruitment activity, please report it via our Fraudulent Activity Submission Form. Coursera is an Equal Opportunity Employer committed to building a welcoming and inclusive workplace. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request at recruiting@coursera.org.
Who we are Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale. Working at Samsara means you'll help define the future of physical operations and be on a team that's shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you'll have the autonomy and support to make an impact as we build for the long term. About the role: As a Samsara Technical Account Manager (TAM), you will build a track record of customer success by leveraging your technical expertise, strong business acumen, proficiency in English, and a commitment to living by Samsara's core values and operating principles. Your primary responsibilities will be to build and maintain relationships with customers and account teams, develop a technical understanding of your customers' Samsara implementations, transform their technical support experience, update our system of engagement, and contribute to team growth. These activities will enable you to proactively set your assigned customers up for success by optimizing their Samsara platform and mitigating risk with particular care during critical peak events. As a TAM, you will occasionally be the point of contact for significant incidents, being responsible for the customer's expectations and communications through resolving such incidents. Our TAM is the primary technical interface on behalf of our customers and works closely across internal and external stakeholders, as required, to address customer needs. This is a remote position open to candidates residing in the US except the San Francisco Bay Metro Area, NYC Metro Area, and Washington, D.C. Metro Area. You should apply if: You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely. You are the architect of your own career: If you put in the work, this role won't be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment. You're energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers. You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-caliber team that will encourage you to do your best. In this role, you will: Transform your assigned customers' support experience through technical proficiency and problem solving. Demonstrate an understanding of Samsara's products, including APIs, hardware, and software troubleshooting. Act as the primary technical point of contact between Samsara and assigned customers, ensuring their technical requirements and objectives are met. Develop a comprehensive understanding of our customers' business operations and use this knowledge to align Samsara's solutions with their specific needs. Identify opportunities for additional value and growth while presenting outcomes achieved. Cultivate solid and long-lasting relationships with technical stakeholders within your customers' organizations. Establish yourself as a technical trusted advisor, advocating for customer interests within Samsara. Be fluent in English to effectively engage and communicate with a diverse customer base in North America. Maintain accurate and up-to-date records of customer interactions and activities in our system of engagement. Actively participate in scaling and building the Technical Account Management team, sharing knowledge and best practices to enhance the team's capabilities. Be available for occasional travel to customer sites and may need to be online for some after-hour or weekend coverage depending on the customers' needs. A strong passion for technology and a commitment to continuous learning, with a demonstrated interest in artificial intelligence, machine learning, and their practical applications in a business context. Champion, role model, and embed Samsara's Operating Values and Principles in how you show up to work. Minimum requirements for the role: Fluency in English is a must. 7+ years of experience in technical account management, customer success, or a similar role. We welcome applications from candidates with a bachelor's degree in a technical field, or those who have gained equivalent expertise through practical experience in areas such as Computer Science, Engineering, or related fields. Exceptional technical literacy, with the ability to understand and troubleshoot hardware, software and AI technology. Strong written and verbal communication skills. Demonstrated ability to build and maintain customer relationships. Business acumen with a focus on understanding customer needs through a data-informed approach. Strong bias for action, ownership, ability to dive deep, and insistence on the highest standards. An ideal candidate also has: Python coding skills, allowing you to provide enhanced technical support and solutions to our customers. Experience supporting enterprise-level customers in a SaaS, IoT, or PaaS environment. Organized, with a commitment to maintaining accurate account records. A team player who can collaborate effectively in a fast-paced environment. Prior experience with Salesforce, Zendesk, Jira, Gainsight, Tableau, and AI (Gemini preferred). The compensation range shown spans approved pay zones for this role. Your primary work location determines the range applicable to you, which may be narrower than the full range displayed. The range of annual base salary for full-time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job-related knowledge, skills, and experience. Learn more about our total rewards and benefits below. Annual Base Salary $85,977.50 — $130,050 USD Total Rewards At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time. Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you're ready to build for the long term and own the outcome, your journey starts here. Flexible Working At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual's ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable. Belonging at Samsara At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact. Accommodations Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email accessibleinterviewing@samsara.com or click here if you require any reasonable accommodations throughout the recruiting process. Our Commitment to Authenticity We use Tofu , a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates. Please see Samsara's Candidate Privacy Notice for more information. Fraudulent Employment Offers Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in @samsara.com, @us-greenhouse-mail.io or @mail3.guide.co. For more information regarding fraudulent employment offers, please visit our blog post here .