Senior AI Data and Analytics Engineer

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

📋 Description

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

• Design and manage 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 utilize reliable, well-modeled data.

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

• Oversee complex, cross-team projects from start to finish, including new data pipelines and integrations.

• Manage risks associated with interdependent teams, ensuring data reliability and quality.

• Act as the senior technical lead for intricate issues, enhancing the quality of engineering and code reviews.

• Eliminate bottlenecks across teams while mentoring engineers and analysts.

• Develop AI-enabled data products and agents, including integrations, retrieval pipelines, and evaluation practices.

• Discover and automate manual workflows with AI for Marketing and GTM teams.

• Advance AI workflow concepts from initial idea to prototype and production, influencing organizational roadmaps.

• Produce high-quality Python and SQL, increasingly through directing agentic coding tools.

• Review and validate AI-generated outputs before they go into production.

• Advocate for and integrate Samsara’s cultural principles as the company expands globally and opens new offices.

⛳️ Requirements

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

• Proficient in Python and SQL at an expert level.

• Strong experience with data modeling and dbt.

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

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

• Familiarity with creating semantic layers and structured documentation tailored for AI ingestion and agentic workflows.

• Regular use of agentic coding tools like Claude Code or Cursor, ensuring ownership and validation of AI-generated outputs.

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

• History of leading intricate, cross-team data initiatives.

• Independent in requirements gathering with both technical and non-technical stakeholders.

• Experience supporting Marketing, Sales, or Product teams.

• Experience working with Databricks and developing AI Agents within its ecosystem.

• Background in software engineering beyond just data or AI engineering.

• Expertise in data visualization and dashboards for sales and marketing KPIs.

• Familiarity with CRM systems, such as Salesforce, as well as marketing automation, web analytics, and MarTech tools.

• Experience in building interactive applications using Streamlit, Claude workflows, or web frameworks.

• Background in data science, machine learning, or predictive analytics.

• Comfort in an exploratory setting, testing and iterating on new data sources and methodologies.

• Candidates must reside in the United States.

• Ability to secure and maintain the legal right to work at Samsara and in the specified work location, if applicable.

🏝️ Benefits

• Initial RSU grant with no vesting cliff.

• Continuous equity refresh opportunities linked to performance.

• Performance-based bonus/variable pay.

• Equity for eligible roles.

• Flexible, employee-driven remote model.

• Professional development stipend.

• Comprehensive health plans.

• Parental leave plans.

• Flexible working model.

• Remote work support as aligned with operational requirements.