28 days ago
Base Salary
$137k - $231k/yr
Responsibilities
- Define the strategy and multi-quarter roadmap for the marketing data and AI foundation.
- Architect and own ETL/ELT pipelines, Databricks Gold Layer tables, integrations, and core marketing data models.
- Design semantic layers, data dictionaries, and structured documentation for self-serve BI, conversational analytics, and AI ingestion.
- Translate ambiguous requirements from Marketing, Sales, and R&D into scalable technical solutions.
- Lead complex cross-team data initiatives from requirements through production while managing risk, reliability, and data quality.
- Serve as the senior technical lead, raise engineering and code-review standards, remove bottlenecks, and mentor engineers and analysts.
- Build, evaluate, monitor, and maintain reliable AI-enabled data products, agents, retrieval pipelines, and LLM systems.
- Automate manual Marketing and go-to-market workflows with AI from prototype through production.
- Develop and review high-quality Python and SQL, including work produced with agentic coding tools.
Requirements
- 8+ years of experience in data engineering, analytics engineering, or AI engineering, including deep hands-on data engineering experience.
- Expert-level Python and SQL skills with strong hands-on data modeling and dbt experience.
- Deep experience with data warehouse and lakehouse architectures, ETL/ELT, the modern data stack, and Databricks or comparable platforms such as Snowflake or BigQuery.
- Experience building semantic layers and structured documentation optimized for AI ingestion and agentic workflows.
- Regular experience using agentic coding tools such as Claude Code or Cursor, with responsibility for verifying generated output.
- Experience building, shipping, evaluating, and monitoring LLM or agent systems in production.
- Track record of leading complex cross-team data initiatives and independently gathering requirements from technical and non-technical stakeholders.
- Experience supporting Marketing, Sales, or Product teams.
- Preferred experience with Databricks AI Agents, software engineering beyond data or AI engineering, sales and marketing KPI dashboards, CRM and MarTech systems, Streamlit or web frameworks, data science, machine learning, or predictive analytics.
Benefits
- Flexible, employee-led remote working model with office, hybrid, and fully remote options depending on operational requirements.
- Professional development stipend.
- Comprehensive health and parental leave plans.
- Performance-based bonus or variable pay and equity eligibility, including an initial RSU grant with no vesting cliff and potential refresh opportunities.
- Employment is contingent on securing and maintaining the legal right to work in the company and specified work location, where applicable.
Categories
AI ApplicationsData Engineering
About Samsara
Samsara builds a Connected Operations Cloud that uses IoT hardware and software to help fleets and other physical-operations organizations monitor vehicles, assets, and worksites. Its platform spans video-based driver safety, vehicle telematics, equipment monitoring, and mobile workflows, sold as subscriptions with accompanying devices. Founded in 2015 and headquartered in San Francisco, Samsara is a public company on the NYSE (ticker: IOT) serving transportation, construction, manufacturing, field services, and government.