Senior AI Data & Analytics Engineer

This is a fully remote position, open to applicants in California.

📋 Description

• Collaborate in establishing the strategy and multi-quarter roadmap for MDA's data and AI infrastructure.

• Design and oversee the marketing data infrastructure, which includes ETL/ELT pipelines, Databricks Gold Layer tables, and essential data models.

• Create semantic layers, data dictionaries, and structured documentation to facilitate self-service BI and conversational analytics.

• Work alongside the BI team to guarantee that sales and marketing KPIs are based on reliable, well-structured data.

• Convert ambiguous business inquiries from Marketing, Sales, and R&D into precise requirements and scalable solutions.

• Lead intricate, cross-team projects from start to finish, encompassing new pipeline developments and integrations.

• Manage risks across interdependent teams while ensuring reliability and data quality.

• Act as the senior technical lead to enhance engineering and code review standards, eliminate bottlenecks, and mentor engineers and analysts.

• Develop AI-enabled data products and agents, incorporating integrations, retrieval pipelines, and evaluation methodologies.

• Automate manual workflows using AI across Marketing and GTM teams, from ideation to production.

• Deliver high-quality Python and SQL code, increasingly utilizing agentic coding tools.

• Review and validate AI-generated outputs prior to production deployment.

• Promote Samsara’s cultural principles as the company expands globally and establishes new offices.

⛳️ Requirements

• Over 8 years of experience in data engineering, analytics engineering, or AI engineering, with extensive hands-on data engineering expertise.

• Proficient in Python and SQL at an expert level.

• Strong practical experience in data modeling and DBT.

• Extensive knowledge of data warehouse and lakehouse architectures, ETL/ELT processes, and the modern data stack.

• Hands-on experience with Databricks or comparable platforms like Snowflake or BigQuery.

• Proven experience in developing semantic layers and structured documentation optimized for AI ingestion and agentic workflows.

• Regular use of agentic coding tools such as Claude Code or Cursor, taking ownership and validating AI-generated results.

• Experience in building, deploying, evaluating, and monitoring LLM or agent systems in a production environment.

• Demonstrated ability to lead complex, cross-team data initiatives.

• Capable of independent requirements gathering with both technical and non-technical stakeholders.

• Experience in supporting Marketing, Sales, or Product teams.

🏝️ Benefits

• Initial RSU grant with no vesting cliff.

• Continuous refresh opportunities linked to performance.

• Performance-based bonuses/variable pay.

• Equity options for eligible positions.

• Flexible, employee-driven remote working model.

• Professional development stipend offered.

• Comprehensive health care plans available.

• Parental leave options provided.

• Flexible working arrangements.

• Remote work support offered.

• Option for in-person office attendance.

• Commitment to equal opportunity employment.

• Reasonable accommodations available throughout the recruitment process.