Senior AI Data Engineer at Samsara

Job description

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 Marketing Data and Analytics (MDA) is an integral team within Marketing. Our mission is to strengthen revenue performance by providing marketing and sales teams with the insights, tools, infrastructure, and consultation to make data-driven decisions. This role sits on MDA's Engineering team, working alongside our BI and Data Science teams. We are a scrappy, fast-moving team that takes ambiguous business problems and turns them into data products, AI agents, and automation, all while architecting and maintaining the data infrastructure that powers Samsara's marketing. This role is for someone who thinks on their feet, moves fast, and is comfortable owning problems end to end. 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: Design, build, and operate production AI systems, including agent orchestration, tool and API integrations, retrieval pipelines, and the evaluation harnesses that keep them reliable and trustworthy. Architect and maintain marketing databases, datasets, pipelines, and Samsara's Customer Data Platform (CDP) to enable advanced segmentation, targeting, automation, and analytics. Partner with the BI team to expand conversational analytics across the marketing organization. Identify and automate manual workflows with AI, taking ideas from concept to prototype to a credible path to production, and delivering efficiency gains across marketing and go-to-market teams. Stand up new data pipelines end to end, often for a tool that was onboarded yesterday: discovering the schema, working with partners inside Samsara and at the vendor, getting the data processed, and integrating it into our downstream systems. Own the reliability and data quality of what you build. Autonomously partner with technical and non-technical stakeholders (Marketing, Sales, R&D, and more) to translate ambiguous business questions into technical requirements and scalable solutions, without dedicated PM support. 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. Mentor engineers, conduct code reviews, and help define best practices for the team. Minimum requirements for the role: 5+ years of working experience in a data engineering or AI engineering role, including meaningful hands-on data engineering experience. Expert Python and SQL knowledge with strong hands-on data modeling experience. You have built and shipped systems that use LLMs or agents in production as part of your job. Agentic coding tools (e.g., Claude Code, Cursor) are part of your regular workflow. You actively seek out new ways to use AI to accelerate your work, and you verify and take ownership of AI-generated output. Deep experience with data warehouse architectures, ETL/ELT, and the modern data stack (e.g., Databricks, DBT, Snowflake, BigQuery, or similar). Demonstrated ability to lead requirements gathering independently, bridging the gap between business needs and technical implementation, and to spot opportunities for automation through exploratory conversations with stakeholders. A self-starter who performs well independently and as a team member, with strong communication and project management skills across technical and non-technical audiences. An ideal candidate also has: A software engineering background beyond data or AI engineering, and a track record of taking ambiguous, unfamiliar problems and turning them into well-architected, delivered solutions. Experience directly supporting a business function such as marketing, sales, finance, or business operations. Experience working with Databricks. Familiarity with go-to-market data and systems: CRM (e.g., Salesforce), marketing automation, web analytics, and CDPs (e.g., Hightouch, Segment). Experience evaluating and monitoring LLM systems in production. 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 $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 .

Requirements

Must-haves

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.
Design, build, and operate production AI systems, including agent orchestration, tool and API integrations, retrieval pipelines, and the evaluation harnesses that keep them reliable and trustworthy.
Architect and maintain marketing databases, datasets, pipelines, and Samsara's Customer Data Platform (CDP) to enable advanced segmentation, targeting, automation, and analytics.
Partner with the BI team to expand conversational analytics across the marketing organization.
Identify and automate manual workflows with AI, taking ideas from concept to prototype to a credible path to production, and delivering efficiency gains across marketing and go-to-market teams.
Own the reliability and data quality of what you build.
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.
Mentor engineers, conduct code reviews, and help define best practices for the team.
5+ years of working experience in a data engineering or AI engineering role, including meaningful hands-on data engineering experience.
Expert Python and SQL knowledge with strong hands-on data modeling experience.
You have built and shipped systems that use LLMs or agents in production as part of your job.
Agentic coding tools (e.g., Claude Code, Cursor) are part of your regular workflow. You actively seek out new ways to use AI to accelerate your work, and you verify and take ownership of AI-generated output.
Deep experience with data warehouse architectures, ETL/ELT, and the modern data stack (e.g., Databricks, DBT, Snowflake, BigQuery, or similar).
A self-starter who performs well independently and as a team member, with strong communication and project management skills across technical and non-technical audiences.
A software engineering background beyond data or AI engineering, and a track record of taking ambiguous, unfamiliar problems and turning them into well-architected, delivered solutions.
Experience directly supporting a business function such as marketing, sales, finance, or business operations.
Experience working with Databricks.
Familiarity with go-to-market data and systems: CRM (e.g., Salesforce), marketing automation, web analytics, and CDPs (e.g., Hightouch, Segment).
Experience evaluating and monitoring LLM systems in production.
Flexible Working
Belonging at Samsara

Nice-to-haves

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Benefits

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Vision

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Professional Development