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Salary: USD 137,445 - 231,000 / annual
Samsara (NYSE: IOT) is the pioneer of the Connected Operations Cloud, a platform enabling organizations to harness IoT data for actionable insights across physical operations including agriculture, construction, field services, transportation, and manufacturing.
You will join the Marketing Data and Analytics (MDA) Engineering team to build the data foundation powering AI and self-serve analytics at scale. Working alongside BI and Data Science peers, you will shape the technical roadmap and architect core Databricks pipelines, Gold Layer tables, and semantic models that turn business challenges into high-value data products and autonomous agents.
Key responsibilities include:
- Partner on defining 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 core data models powering segmentation, targeting, automation, and analytics
- Design semantic layers, data dictionaries, and structured documentation enabling self-serve BI and conversational analytics
- Translate ambiguous business questions from Marketing, Sales, and R&D into clear requirements and scalable solutions, working autonomously
- Lead complex cross-team initiatives end-to-end: stand up new data pipelines and integrations, manage risk across interdependent teams, and own reliability and data quality
- Serve as senior technical lead for the team's hardest problems: raise the bar for engineering quality, remove bottlenecks, and mentor engineers and analysts
- Drive strategic use of AI to solve high-impact problems: build AI-enabled data products and agents with integrations, retrieval pipelines, and evaluation practices
- Identify and automate manual workflows with AI across Marketing and GTM teams, from concept to production
- Ship high-quality Python and SQL, increasingly by directing agentic coding tools, while maintaining high standards for reviewing AI-generated work
- Champion and embed Samsara's cultural principles as the company scales globally
Requirements:
- 8+ years of experience in data engineering, analytics engineering, or AI engineering, with 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
- Regular use of agentic coding tools (e.g., Claude Code, Cursor) with ability to 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
Ideal candidates also have:
- Experience working with Databricks and building AI Agents within the ecosystem
- Software engineering background beyond data or AI engineering with track record of turning ambiguous problems into well-architected 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 exploratory environments, testing and iterating on new data sources and methodologies
