Senior AI Data Engineer

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 Canada

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.