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: Data and Analytics is a critical team within Marketing. Our mission is to enable revenue performance by providing marketing and sales teams with the insights, tools, infrastructure and consultation to make data-driven decisions. We are a scrappy and growing team that loves all things data! The team will be composed of data engineers, analytics managers and data scientists. We are passionate about leveraging world-class data and analytics to deliver a great customer experience.Our team promotes an agile, collaborative, supportive environment where diverse thinking, innovative design, and experimentation are welcomed and encouraged. This role is open to candidates residing in the US except the San Francisco Bay Metro Area, NYC Metro Area, and Washington, D.C. Metro Area. You should apply if: - You want to impact the industries that run our world: Your efforts will result in real-world impact – helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely. - You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment. - You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers. - You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-calibre team that will encourage you to do your best. In this role, you will: - Architect and maintain complex marketing databases, datasets, pipelines and Samsara’s Customer Data Platform (CDP) to enable advanced segmentation, targeting, automation and analytics. - Design and implement data infrastructure for AI/ML initiatives, including building pipelines for Generative AI applications, feature stores, and vector database integrations to support predictive modeling and personalization. - Support the execution of expanding conversational BI and Ambient AI within the marketing organization in partnership with the BI team. - Support in the automation of many manual tasks through the use of AI leading to efficiency gains for the whole marketing organization. - Manage critical, high-volume data pipelines to enable our growth initiatives and advanced analytics. Manage the SLAs for those data pipelines and constantly improve efficiency and data quality. - Facilitate sophisticated data integration and transformation requirements for moving data between applications; ensuring interoperability of applications with data mart, AI models, and CDP environments. - Autonomously partner directly with non-technical stakeholders (Marketing, Sales, Ops) to translate ambiguous business questions into technical requirements and scalable data solutions without needing constant supervision. - Write sophisticated yet optimized data transformations in Python/SQL to generate data products consumed by customer systems and Analytics, Marketing Operations, and Sales Operations teams. - Mentor junior engineers, conduct code reviews, and help define best practices for the data engineering team. Minimum requirements for the role: - 5+ years of working experience in a data engineering or data engineering adjacent role. - Expert Python and SQL knowledge with strong hands-on data modeling experience. - Proven experience engineering data pipelines for AI/ML workloads (e.g., preparing unstructured data for LLMs, working with vector stores, or building feature engineering pipelines). - Proven experience building and scaling RAG (Retrieval-Augmented Generation) infrastructure, including managing vector database integrations and data-to-embedding pipelines for LLM applications. - Deep experience with data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools. - Hands-on experience working with modern data technologies stack, such as Databricks, DBT, Google BigQuery, Redshift, RDS, Snowflake or similar solutions. - Demonstrated ability to lead requirement gathering sessions independently, bridging the gap between business needs and technical implementation. - Has demonstrated the ability to have exploratory conversations with stakeholders to understand further opportunities for automation across marketing. - Familiarity with customer, marketing and/or web data. - Experience integrating data from core Sales and Marketing platforms (e.g. Marketing Automation, CRM, and web analytics). - Self-starter, motivated, responsible, innovative and technology-driven individual who performs well both independently and as a team member. - A proactive problem solver and have good communication as well as project management skills to relay your findings and solutions across technical and non-technical audiences. An ideal candidate also has: - Experience working with Databricks. - Knowledge of Marketo, Salesforce.com and Google Analytics. - Experience working with CDPs such as Hightouch, Segment, Lattice, Blueshift, Lytics or Adobe Real-time CDP. - Experience with data visualization tools and packages (e.g. Looker, Domo, Tableau, MixPanel). - Familiarity with Marketing Technologies (MarTech stacks). - Experience with MLOps principles and tools (e.g., MLflow, Kubeflow) and deploying models into production environments. The range of annual base salary for full-time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job-related knowledge, skills, and experience. Learn more about our total rewards and benefits below. Annual Base Salary $118,107.50—$178,650 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.