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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. 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.

About the Role We are looking for an experienced Credit Risk Data Scientist who is data-driven, has strong analytical and technical skills, and operates with a high degree of ownership. In this role, you will lead the credit strategy that lets Chime lend to people before they have a relationship with us — starting with Instant Loans for new members (top of funnel) and expanding to future unsecured credit products such as credit cards. You'll develop risk policies and strategies to manage credit risk throughout the member lifecycle, and you'll work as a trusted cross-functional partner with product, growth, data engineering, machine learning, and analytics teams, interacting with business stakeholders across many departments. In this role, you can expect to Own credit strategy for new-to-Chime applicants across the member lifecycle, starting with Instant Loans for prospects (top of funnel) and extending to future unsecured products such as credit cards and/or lines of credit Develop and evolve channel-specific credit policies (pre-approval / prescreen, direct mail, open application, referrals, and affiliates) that support growth while balancing risk, unit economics, and member experience Design and continuously iterate acquisition, loan amount / line assignment, pricing, line management, repayment, and collections strategies Leverage credit bureau (e.g., Experian), alternative, and internal Chime data to underwrite applicants with no prior Chime relationship; build credit models and policies hands-on and in partnership with our DSML team Lead test-and-learn: design and read out champion/challenger tests and controlled ramps, and quantify trade-offs among approvals, losses, direct deposit conversion, and lifetime value Partner with Finance and Strategy to size new channels and forecast approval funnels, vintage losses, and unit economics; set launch criteria, guardrails, and expansion triggers Collaborate with data teams to build data infrastructure and early-read monitoring and dashboards (first payment default, delinquency, vintage and roll rates) that help senior management understand credit risk trends and exposures Work with cross-functional teams including DSML, Product, Design, Engineering, and Decision Platform to test and implement risk models and strategies in production, including accurate adverse action reasons Partner with Compliance, Legal, Fair Lending, Model Risk Management, Fraud, and our bank partners to document, approve, and govern credit policies Mentor and work collaboratively with other credit risk data scientists to develop strategies, share knowledge, and raise the team's analytical bar To thrive in this role, you have A Master's degree (required) in Statistics, Economics, Engineering, Math, Finance, Computer Science, or another quantitative discipline; a PhD is a plus 7+ years of analytical or data science experience in Financial Services, preferably at a FinTech company 4+ years of experience building and managing risk for unsecured credit products such as installment loans, lines of credit, or credit cards; acquisition / underwriting experience strongly preferred Hands-on experience with credit bureau data and prescreen, pre-approval, or direct mail credit programs Experience with credit furnishing, bankruptcies, delinquency, and write-off policies, and working knowledge of consumer lending regulation (FCRA, ECOA / Reg B, fair lending, adverse action) Excellent SQL and Python skills, advanced Microsoft Excel skills, and experience working in Looker or a similar business intelligence tool A strong grounding in statistics and machine learning for credit, including scorecards / gradient-boosted models, swap-set analysis, vintage analysis, and experiment design Hands-on, detail-oriented leader with exceptional communication skills who can explain a trade-off to executives and defend the math behind it Ability to work in a fast-paced, complex environment and meet ambitious deadlines while ensuring flawless completion A strong passion for Chime's mission and solving challenging analytical problems for the business Nice to have: subprime or near-prime lending, affiliate or marketplace lending, credit card line management, or cash-flow / alternative-data underwriting experience #LI-Onsite #LI-BE1 Below is the base salary offered for this role and level of experience. Full-time employees may also be eligible for bonus(es), competitive equity, and benefits. For commissioned roles, the base salary listed in this job description does not include incentive/variable pay. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. Wage Notice $152,000 — $210,000 USD A little about us At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential. We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members. We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress.  We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential. Because if we don't—who will? Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC. What we offer for our full-time, regular employees 🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. Whether you're coming in regularly or are part of our fully remote program, you'll stay engaged with your work and teammates. 💻 Benefits that support your work and life, including backup child, elder, and pet care and subsidized commuter benefits for eligible employees. ✨ Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of life. 🏝 Generous vacation policy and company-wide paid days off 🫂 1% of your time off to support local community organizations of your choice 👟 Annual wellness stipend to use towards eligible wellness related expenses 👶 Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents 👪 Access to family planning reimbursement 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress We know that great work can't be done without a diverse team and inclusive environment. That's why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals. Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: accommodations@chime.com . To learn more about how Chime collects and uses your personal information during the application process, please see the  Chime Applicant Privacy Notice .

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the Product team The Product team listens to our customers' needs and translates those insights into a clear product vision. The team works closely with design, engineering, and analytics to build scalable financial products that empower people to manage their money with confidence. We rely on empathy, curiosity, and business sense to prioritize features and improve experiences. Our role is to lead with clarity, support cross-functional execution, and champion the user in every decision. About the role Millions of people use the Affirm Card, but we don't yet give them a reason to keep coming back beyond the product itself. You'll build our consumer loyalty program from scratch: what people earn, how they move up, and why Affirm becomes their default way to pay. What you'll do Own the vision and roadmap for Affirm's consumer loyalty program, setting the hypotheses, success metrics, and sequencing across multiple quarters Launch the first version of rewards and tiers, including earn mechanics, member benefits, redemption, and the surfaces that make the value obvious in app, at checkout, and after a purchase Build the engagement loops (progress, milestones, personalized offers) that turn a one-time borrower into someone who reaches for Affirm every week Own the program economics: reward liability, funding mix across merchant-funded offers, interchange and network incentives, and the case for incremental GMV against cost per member Set up the measurement foundation for loyalty, including holdouts, incrementality testing and long-run LTV, then tune earn and burn rates and tier thresholds off what the data says Partner with Risk, Credit, Legal, Compliance, Finance and Marketing to design rewards that are compliant and clearly disclosed, with no hidden fees or fine print that surprises people Align senior stakeholders and pull together dependencies across Card, Shopping, Servicing and Marketing, leading embedded engineering and design pods through a lot of ambiguity What we look for 8+ years in Product Management, with a track record in consumer mobile apps, fintech, or neobanks Built or scaled a loyalty, rewards or engagement program: card rewards, points, tiers, subscription benefits, or something equivalent. You know earn and burn mechanics and what makes a program pay for itself History of launching products from scratch, not just optimizing what already exists Owned repeat usage, cohort retention or share of wallet as a primary metric, and know which levers actually move them Comfortable building the financial model yourself and defending reward cost, funding mix and payback to Finance and leadership Strong UX instincts and a high bar for design. You know the difference between a reward that feels good and a badge buried in a settings menu Deep fluency in experiment design, incrementality/attribution, and LTV measurement; data chops (SQL/Amplitude-level self-serve) and a bias for shipping, learning and iterating quickly Track record shipping consumer financial or regulated products; comfort partnering with Risk/Credit, Legal, and Compliance Excellent cross-functional leadership, including experience leading without authority AI tools like Claude Code, Cursor, and others to research, analyze and prototype, and help develop better product vision Bachelor's degree in a related field or equivalent practical experience   Base Pay Grade - P Equity Grade - 7 Employees new to Affirm typically come in at the start of the pay range . Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). CAN base pay range per year: $181,000 - $241,000 This posting is for an existing vacancy. #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We're committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we're happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's  Global Candidate Privacy Notice and consent to the use of your personal information as described.