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 foundation.

• Design and manage the marketing data infrastructure, encompassing ETL/ELT pipelines, Databricks Gold Layer tables, and core data models.

• Create semantic layers, data dictionaries, and structured documentation for self-service business intelligence and conversational analytics.

• Work alongside the BI team to ensure that sales and marketing KPIs utilize reliable, well-structured data.

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

• Lead intricate, cross-departmental initiatives from start to finish, including the development of new data pipelines and integrations.

• Oversee risk management across interrelated teams, ensuring reliability and data quality.

• Act as the senior technical authority for complex issues, code reviews, engineering quality, and resolving bottlenecks.

• Provide mentorship to engineers and analysts.

• Develop AI-driven data products and agents, incorporating integrations, retrieval pipelines, and evaluation practices.

• Streamline manual workflows using AI across Marketing and GTM teams from conception to production.

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

• Assess and validate AI-generated outputs prior to production.

• Promote Samsara’s cultural principles while facilitating global scaling and office expansion.

⛳️ Requirements

• 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, as well as ETL/ELT processes and the modern data stack.

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

• Experience in creating semantic layers and structured documentation optimized for AI ingestion and agentic workflows.

• Regularly utilize agentic coding tools such as Claude Code or Cursor.

• Ability to validate and assume responsibility for AI-generated outputs.

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

• Proven track record of leading complex, cross-team data initiatives.

• Capable of independently gathering requirements from both technical and non-technical stakeholders.

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

• Ideal: background with Databricks and AI Agents within the ecosystem.

• Ideal: software engineering experience beyond data or AI engineering.

• Ideal: expertise in data visualization and dashboards for sales and marketing KPIs.

• Ideal: familiarity with CRM systems like Salesforce, marketing automation, web analytics, and MarTech tools.

• Ideal: experience with Streamlit, Claude workflows, or web frameworks.

• Ideal: background in data science, machine learning, or predictive analytics.

• Ideal: comfort in an exploratory environment and ability to iterate on new data sources and methodologies.

🏝️ Benefits

• Initial RSU grant with no vesting cliff.

• Continuous RSU refresh opportunities linked to performance.

• Performance-based bonus and variable pay.

• Equity available for eligible positions.

• Flexible, employee-driven remote work model.

• Professional development stipend.

• Comprehensive health plans.

• Parental leave policies.

• Competitive total compensation packages.

• Remote work support aligned with operational needs.

• Office spaces available for employees who prefer in-person work.

• Reasonable accommodations provided throughout the recruitment process.