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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 agriculture, construction, field services, transportation, and manufacturing. The company helps digitally transform physical operations at scale.
As a Senior AI Data & Analytics Engineer II on the Marketing Data and Analytics (MDA) Engineering team, you will shape the technical roadmap alongside BI and Data Science peers. You will architect core Databricks pipelines, Gold Layer tables, and semantic models, turning ambitious business challenges into high-value data products, autonomous agents, and cross-functional automation.
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, own reliability and data quality
- Serve as senior technical lead for the team's hardest problems: raise the bar for engineering quality, remove bottlenecks, 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, including deep hands-on data engineering
- 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: Snowflake, 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 candidate also has:
- Experience working with Databricks and building AI Agents within the ecosystem
- Software engineering background beyond data or AI engineering
- 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, 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
