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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. 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 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.  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: Develop controllable & realistic adversarial agents for more efficient simulation based evaluation and deploy them in the Waymo Simulator Iterate on the post-training recipes for the state-of-the-art Foundation Models and Waymo World Models   You have: Currently pursuing a PhD degree in Computer Science, Machine Learning, Robotics, or a related technical field Proficient in Python Coding  and Tensor Manipulation (using Pytorch / NumPy / JAX / TensorFlow / etc.) Experience with Machine Learning and Deep Learning   We prefer: Hands-on experience with post-training and reinforcement learning Hands-on experience with attention mechanisms, diffusion and / or autoregressive architectures Experience with autonomous driving or robotics   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 annual pay 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. PhD Pay £80,000 — £80,000 GBP

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

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: Want to build the data foundation powering AI and self-serve analytics at scale? As part of Samsara's Marketing Data and Analytics (MDA) Engineering team, you will shape the technical roadmap alongside our BI and Data Science peers. You will architect core Databricks pipelines, Gold Layer tables, and semantic models, turning ambitious, ambiguous business challenges into high-value data products, autonomous agents, and cross-functional automation. This role is open to candidates residing in the US. 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-calibre team that will encourage you to do your best.  In this role, you will: Partner on defining the strategy and multi-quarter roadmap for MDA's data and AI foundation. Architect and own Samsara's marketing data infrastructure: ETL/ELT pipelines, Databricks Gold Layer tables, and the core data models that power segmentation, targeting, automation, and analytics. Design the semantic layers, data dictionaries, and structured documentation that enable self-serve BI and conversational analytics, partnering with the BI team to ensure core sales and marketing KPIs are built on trusted, well-modeled data. Translate ambiguous business questions from Marketing, Sales, and R&D into clear requirements and scalable solutions, working autonomously without dedicated PM support and influencing decisions with data and sound reasoning. Lead complex, cross-team initiatives end to end: stand up new data pipelines and integrations quickly, manage risk across interdependent teams, and own the reliability and data quality of what ships. Serve as the senior technical lead for the team's hardest problems: raise the bar for engineering quality and code review, remove bottlenecks that slow multiple teams, and mentor engineers and analysts.  Drive the strategic use of AI to solve ambiguous, high-impact problems: build AI-enabled data products and agents, with the integrations, retrieval pipelines, and evaluation practices that keep them reliable and trustworthy. Identify and automate manual workflows with AI across Marketing and GTM teams, taking ideas from concept to prototype to production and influencing org roadmaps. Ship high-quality Python and SQL, increasingly by directing agentic coding tools, while holding a high bar for reviewing and verifying AI-generated work before it reaches production. Champion, role model, and embed Samsara's cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices. Minimum requirements for the role: 8+ years of experience in data engineering, analytics engineering, or AI engineering, including deep hands-on data engineering experience. Expert-level Python and SQL, with strong hands-on data modeling and DBT experience. Deep experience with data warehouse and lakehouse architectures, ETL/ELT, and the modern data stack, including hands-on Databricks (or similar, such as Snowflake or BigQuery). Experience building semantic layers and structured documentation optimized for AI ingestion and agentic workflows. Agentic coding tools (e.g., Claude Code, Cursor) are part of your regular workflow, and you verify and take ownership of AI-generated output. Experience building, shipping, evaluating, and monitoring LLM or agent systems in production. Track record of leading complex, cross-team data initiatives, including independent requirements gathering with technical and non-technical stakeholders. Experience supporting Marketing, Sales, or Product teams. An ideal candidate also has: Experience working with Databricks and building AI Agents within the ecosystem.  Software engineering background beyond data or AI engineering, with a track record of turning ambiguous, unfamiliar problems into well-architected, delivered solutions. Expertise in data visualization and building dashboards for sales and marketing KPIs. Familiarity with go-to-market data and systems: CRM (e.g., Salesforce), marketing automation, web analytics, and MarTech tools. Experience building interactive applications with Streamlit, Claude workflows, or web frameworks. Data science, machine learning, or predictive analytics experience. Comfort working in an exploratory environment, testing and iterating on new data sources and methodologies. The compensation range shown spans approved pay zones for this role. Your primary work location determines the range applicable to you, which may be narrower than the full range displayed. The range of annual base salary for full-time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job-related knowledge, skills, and experience. This role is also eligible for an initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance, subject to plan terms and conditions. Learn more about our total rewards and benefits below. Annual Base Salary $137,445 — $231,000 USD Total Rewards At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time. Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you're ready to build for the long term and own the outcome, your journey starts here. Flexible Working  At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual's ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable. Belonging at Samsara At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact. Accommodations  Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email accessibleinterviewing@samsara.com or click here if you require any reasonable accommodations throughout the recruiting process. Our Commitment to Authenticity We use Tofu , a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates. Please see Samsara's Candidate Privacy Notice for more information. Fraudulent Employment Offers Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in @samsara.com, @us-greenhouse-mail.io or @mail3.guide.co. For more information regarding fraudulent employment offers, please visit our  blog post here .

Who we are Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale. Working at Samsara means you'll help define the future of physical operations and be on a team that's shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you'll have the autonomy and support to make an impact as we build for the long term. About the role: Want to build the data foundation powering AI and self-serve analytics at scale? As part of Samsara's Marketing Data and Analytics (MDA) Engineering team, you will shape the technical roadmap alongside our BI and Data Science peers. You will architect core Databricks pipelines, Gold Layer tables, and semantic models, turning ambitious, ambiguous business challenges into high-value data products, autonomous agents, and cross-functional automation. This role is open to candidates residing in the US. 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-calibre team that will encourage you to do your best.  In this role, you will: Partner on defining the strategy and multi-quarter roadmap for MDA's data and AI foundation. Architect and own Samsara's marketing data infrastructure: ETL/ELT pipelines, Databricks Gold Layer tables, and the core data models that power segmentation, targeting, automation, and analytics. Design the semantic layers, data dictionaries, and structured documentation that enable self-serve BI and conversational analytics, partnering with the BI team to ensure core sales and marketing KPIs are built on trusted, well-modeled data. Translate ambiguous business questions from Marketing, Sales, and R&D into clear requirements and scalable solutions, working autonomously without dedicated PM support and influencing decisions with data and sound reasoning. Lead complex, cross-team initiatives end to end: stand up new data pipelines and integrations quickly, manage risk across interdependent teams, and own the reliability and data quality of what ships. Serve as the senior technical lead for the team's hardest problems: raise the bar for engineering quality and code review, remove bottlenecks that slow multiple teams, and mentor engineers and analysts.  Drive the strategic use of AI to solve ambiguous, high-impact problems: build AI-enabled data products and agents, with the integrations, retrieval pipelines, and evaluation practices that keep them reliable and trustworthy. Identify and automate manual workflows with AI across Marketing and GTM teams, taking ideas from concept to prototype to production and influencing org roadmaps. Ship high-quality Python and SQL, increasingly by directing agentic coding tools, while holding a high bar for reviewing and verifying AI-generated work before it reaches production. Champion, role model, and embed Samsara's cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices. Minimum requirements for the role: 8+ years of experience in data engineering, analytics engineering, or AI engineering, including deep hands-on data engineering experience. Expert-level Python and SQL, with strong hands-on data modeling and DBT experience. Deep experience with data warehouse and lakehouse architectures, ETL/ELT, and the modern data stack, including hands-on Databricks (or similar, such as Snowflake or BigQuery). Experience building semantic layers and structured documentation optimized for AI ingestion and agentic workflows. Agentic coding tools (e.g., Claude Code, Cursor) are part of your regular workflow, and you verify and take ownership of AI-generated output. Experience building, shipping, evaluating, and monitoring LLM or agent systems in production. Track record of leading complex, cross-team data initiatives, including independent requirements gathering with technical and non-technical stakeholders. Experience supporting Marketing, Sales, or Product teams. An ideal candidate also has: Experience working with Databricks and building AI Agents within the ecosystem.  Software engineering background beyond data or AI engineering, with a track record of turning ambiguous, unfamiliar problems into well-architected, delivered solutions. Expertise in data visualization and building dashboards for sales and marketing KPIs. Familiarity with go-to-market data and systems: CRM (e.g., Salesforce), marketing automation, web analytics, and MarTech tools. Experience building interactive applications with Streamlit, Claude workflows, or web frameworks. Data science, machine learning, or predictive analytics experience. Comfort working in an exploratory environment, testing and iterating on new data sources and methodologies. The compensation range shown spans approved pay zones for this role. Your primary work location determines the range applicable to you, which may be narrower than the full range displayed. The range of annual base salary for full-time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job-related knowledge, skills, and experience. This role is also eligible for an initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance, subject to plan terms and conditions. Learn more about our total rewards and benefits below. Annual Base Salary $137,445 — $231,000 USD Total Rewards At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time. Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you're ready to build for the long term and own the outcome, your journey starts here. Flexible Working  At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual's ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable. Belonging at Samsara At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact. Accommodations  Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email accessibleinterviewing@samsara.com or click here if you require any reasonable accommodations throughout the recruiting process. Our Commitment to Authenticity We use Tofu , a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates. Please see Samsara's Candidate Privacy Notice for more information. Fraudulent Employment Offers Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in @samsara.com, @us-greenhouse-mail.io or @mail3.guide.co. For more information regarding fraudulent employment offers, please visit our  blog post here .

Who we are Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale. Working at Samsara means you'll help define the future of physical operations and be on a team that's shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you'll have the autonomy and support to make an impact as we build for the long term. About the role: As a Field Sales Engineer at Samsara, you'd be an integral part of a diverse team working to help modernize essential industries through the application of cutting-edge IoT solutions.  Your work would directly contribute to a cleaner, more efficient, and productive supply chain by creating safer roadways, reducing fuel consumption and emissions, and providing a consolidated platform for connecting operations.  Our daily customer engagements include conversations around how IoT can positively impact logistics management, workplace safety programs, fleet maintenance strategies, global asset management, and regulatory compliance.  This means a successful SE at Samsara will develop a thorough understanding of the application of IoT hardware and sensors, hands-on hardware installation strategies, managing data collection over carrier networks, presenting a robust cloud infrastructure, and building third-party system integrations (via our open API) to ensure the best technical solution is presented to Samsara customers. This is a remote position open to candidates residing in the Southeast region of the United States except for San Francisco Bay Metros, New York City Metro and Washington DC Metro . This position requires travel up to 50% of the time and proximity to an international airport is preferred. 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, and most importantly, ensure workers return home safely. You have an innate curiosity about how businesses work: One day you'll meet with someone in waste management and the next you may be learning about the inner workings of a food distribution center. Our top sales team members seek to learn the ins and outs of the businesses they support in order to make a larger impact.  You build genuine relationships with your customers: The industries we serve have relied on pen-and-paper solutions for years and haven't been met with the type of technology we offer. Our customers value earned trust and human relationships built over time. You want to be with the best: Samsara's high-performance culture means you'll be surrounded by the best and challenged to go farther than you have before.  You are a team player: At Samsara, sales is a team sport. We help each other out by sharing best practices and focusing on winning as a team. In this role, you will:   Become an expert on Samsara products: where the rubber of cutting-edge tech (IoT, AI, computer vision) meets the road of driving digital transformation for physical operations. Articulate to prospects how businesses like theirs use Samsara today to solve obstacles common to their industry. Deliver the work products that get deals done.  Think discoveries, demonstrations, value assessments, proof of concept implementations, etc. Walk installers through any scenario, explaining best practices for installing Samsara products and helping build deployment plans. Write sample proof-of-concept scripts against our open API that solve real-world problems for companies that deliver essential services (for example), and document them for your fellow SE's to use. Open the door for deeper entrenchment into accounts (integration, upsell, cross-sell) by becoming a consultant to your customers. Act as a liaison between Samsara's product and sales teams, translating technical feedback and enrolling the right customers in our beta programs. Champion, role model, and embed Samsara's cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices. Minimum requirements for the role: Bachelor's of Science degree from a 4-year accredited university. 5 years of experience working with customers in a pre-sales, customer success, or customer/product support capacity. Possess the attitude and aptitude for continuous growth and development. Ability to influence stakeholders based on your technical sales acumen and a solid understanding of business processes and change management. Ability to explain complex technical concepts to non-technical audiences. Previous experience managing hardware and/or software product evaluations. Basic understanding of electronics and electrical systems. Experience with the following concepts: technical consulting, cloud software, cloud-connected hardware, computer networking, business systems integration, automation, and control systems. An ideal candidate also has: Bachelor's of Science degree or advanced education in Electrical Engineering, Computer Science, Mechanical Engineering, Industrial Engineering, or related discipline. 8+ years of enterprise experience working with customers in a pre-sales environment. Understanding of vehicle diagnostic systems, including Controller Area Networks (CAN bus) and Power Take Off (PTO) applications. Skilled in the art of identifying customer value - identifying on delivering what is most important to the customer and tuning out the noise. Hobbyist interest in working with things driven by electronic systems (car audio installation/classic car restoration, home automation, building things with Raspberry Pi, Arduino, etc.). Consistent track record of success selling complex technical solutions through strategic sales cycles. Work experience in task automation scripting and transferring data between systems using Bash, Python, JavaScript, or equivalent language. Work experience building solutions leveraging open APIs. 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 on-target earnings (OTE) range for full-time employees for this position is below. Please note that OTE pay 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 OTE Salary $198,050 — $233,000 USD Total Rewards At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time. Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you're ready to build for the long term and own the outcome, your journey starts here. Flexible Working  At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual's ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable. Belonging at Samsara At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact. Accommodations  Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email accessibleinterviewing@samsara.com or click here if you require any reasonable accommodations throughout the recruiting process. Our Commitment to Authenticity We use Tofu , a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates. Please see Samsara's Candidate Privacy Notice for more information. Fraudulent Employment Offers Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in @samsara.com, @us-greenhouse-mail.io or @mail3.guide.co. For more information regarding fraudulent employment offers, please visit our  blog post here .

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we're changing the way people think about and interact with personal finance. We're a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role: SoFi is searching for a Payroll Specialist to support our growing business. The Payroll Specialist works within the Payroll Team preparing, processing and balancing the entire U.S. payroll. This position will handle employee inquiries, and work with the Finance and HR departments to ensure payroll is processed accurately and in compliance with statutory regulations. By joining SoFi, you're joining a new kind of finance company based around speed, transparency, and alignment with our members' interests.  What you'll do: Process regular and off-cycle payrolls (bi-weekly, semi-monthly, or monthly) for assigned employee populations Ensure accurate calculation of wages, overtime, shift differentials, bonuses, commissions, and retroactive pay Review and reconcile payroll reports prior to submission to ensure compliance and accuracy Validate timekeeping data and resolve discrepancies in coordination with managers and HR Process manual checks as needed for terminations, bonuses and lost checks Assist with payroll audits and respond to agency inquiries Responsible for complying with local, state and federal payroll regulations Respond to employee inquiries concerning payroll ensuring high customer satisfaction Performs periodic internal audits of various payroll areas and prepare materials for external or internal auditors Identify process gaps and recommend improvements to enhance efficiency and accuracy Document payroll procedures and maintain internal controls Support compliance with SOX or internal audit requirements Provides support for special projects assigned by the Payroll Manager What you'll need: 3+ years' experience processing payroll Knowledge of Workday systems desired Proficiency in Gmail and Microsoft Office Suite is essential with intermediate or advance Excel skills Excellent customer service skills with an ability to effectively handle and resolve employee inquiries and issues. Solid understanding of federal and state wage and hour laws including payroll taxes, withholding, deductions and garnishments Must exhibit strong personal integrity and be capable of working with sensitive information and keeping sensitive information confidential. Ability to meet project deadlines and prioritize tasks with focus on results and accuracy of the payroll. Ability to function in a highly collaborative environment Attention to detail and the ability to maintain a high level of accuracy under pressure Organizational, Multi-Tasking and Prioritization skills Exemplary Communication skills Experience using a ticketing system such as ServiceNow or Jira Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location.    To view all of our comprehensive and competitive benefits, visit our  Benefits at SoFi   page! SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. The Company hires the best qualified candidate for the job, without regard to protected characteristics. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. New York applicants: Notice of Employee Rights SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com. We are unable to accommodate remote work from Hawaii, Alaska or Puerto Rico at this time. Internal Employees If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we're changing the way people think about and interact with personal finance. We're a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role: We are seeking an experienced and highly organized Paralegal to support SoFi's Litigation and Arbitration group within our Legal Department. Key responsibilities include end-to-end matter management, assisting with document collections and reviews, legal invoice and vendor tracking, legal hold implementations, and providing support to in-house counsel on legal requests. This role oversees daily process management for the team and reports to the Senior Paralegal, Service of Process Manager. The ideal candidate brings a strong background supporting litigation and arbitration in both law firm and in-house settings, alongside hands-on experience in matter management and legal support workflows. Detail-oriented and proactive, you excel at partnering with attorneys, outside counsel, and cross-functional teams to navigate complex legal disputes. What you'll do: Experienced and highly organized paralegal to support SoFi's Litigation and Arbitration group. Proven hands-on experience with end-to-end matter management in law firm and in-house settings. Direct experience assisting with document collections, review, and legal hold implementations. Strong background in managing legal invoices, tracking, and maintaining vendor relationships. Ability to oversee daily process management and streamline legal support workflows for the paralegal team. Proven track record of supporting in-house counsel with responding to complex legal requests. Detail-oriented and proactive mindset suited for navigating complex legal disputes. Excellent collaboration skills for partnering effectively with attorneys, outside counsel, and cross-functional teams. Solid background supporting litigation and arbitration matters across various stages. What you'll need: Bachelor's degree or equivalent professional experience; paralegal certification is a plus. 4+ years of experience as a paralegal, in either a law firm or in-house legal department. At least 2 years experience as a paralegal in a law firm is strongly preferred. Strong experience with litigation tracking and case management platforms (e.g., Legal Tracker, CounselLink, or similar). Strong knowledge of the subpoena and litigation and arbitration processes. Excellent organizational skills and attention to detail, with the ability to manage multiple priorities simultaneously while meeting multiple, and often short, deadlines. Strong written and verbal communication skills. Comfort working cross-functionally with attorneys, cross-functional partners, and external service providers. Ability to exercise sound judgment, maintain confidentiality, and operate in a fast-paced environment with minimal supervision. Experience in fintech, financial services, or a regulated environment is a plus. Nice to have: Experience working for a financial services company and/or in-house legal department. Proficiency with Legal Tracker, LexisNexis, and Relativity/other e-discovery platforms. Experience e-filing via PACER and state court online filing systems. Experience with Atlassian/Jira or other workflow management software. Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location.    To view all of our comprehensive and competitive benefits, visit our  Benefits at SoFi   page! SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. The Company hires the best qualified candidate for the job, without regard to protected characteristics. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. New York applicants: Notice of Employee Rights SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com. We are unable to accommodate remote work from Hawaii, Alaska or Puerto Rico at this time. Internal Employees If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.