Senior AI Data & Analytics Engineer II

Samsara • Remote - CA, CA

9d • $137,445 - $231,000

About The Position

As part of Samsara's Marketing Data and Analytics (MDA) Engineering team, this role shapes the technical roadmap alongside BI and Data Science peers. The engineer architects core Databricks pipelines, Gold Layer tables, and semantic models, turning ambitious and ambiguous business challenges into high-value data products, autonomous agents, and cross-functional automation. The position is open to candidates residing in the US.

The role partners on the strategy and multi-quarter roadmap for MDA's data and AI foundation, owns marketing data infrastructure and data quality, and enables self-serve BI and conversational analytics. It translates business questions into scalable solutions, leads complex cross-team initiatives, and serves as the senior technical lead for challenging engineering work. The engineer also drives the use of AI to build reliable data products and agents, automates manual workflows across Marketing and go-to-market teams, and ships and reviews Python and SQL, including work directed through agentic coding tools.

Samsara describes itself as the pioneer of the Connected Operations Cloud, helping organizations that rely on physical operations use IoT data to improve safety, efficiency, and sustainability. Its products include Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. The company emphasizes customer success, long-term thinking, growth, inclusion, and teamwork.

Requirements

• At least 8 years of experience in data engineering, analytics engineering, or AI engineering, including deep hands-on data engineering experience.
• 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 a similar platform such as Snowflake or BigQuery.
• Experience building semantic layers and structured documentation optimized for AI ingestion and agentic workflows.
• Regular use of agentic coding tools such as Claude Code or Cursor, with responsibility for verifying and owning AI-generated output.
• Experience building, shipping, evaluating, and monitoring LLM or agent systems in production.
• Track record leading complex cross-team data initiatives, including independent requirements gathering with technical and non-technical stakeholders.
• Experience supporting Marketing, Sales, or Product teams.

Nice To Haves

• Experience working with Databricks and building AI agents within its ecosystem.
• Software engineering background beyond data or AI engineering, with a track record of turning ambiguous, unfamiliar problems into well-architected, delivered solutions.
• Expertise in data visualization and building dashboards for sales and marketing KPIs.
• Familiarity with go-to-market data and systems, including CRM such as Salesforce, marketing automation, web analytics, and MarTech tools.
• Experience building interactive applications with Streamlit, Claude workflows, or web frameworks.
• Data science, machine learning, or predictive analytics experience.
• Comfort working in an exploratory environment, testing and iterating on new data sources and methodologies.

Responsibilities

• Partner on defining the strategy and multi-quarter roadmap for MDA's data and AI foundation.
• Architect and own marketing data infrastructure, including ETL/ELT pipelines, Databricks Gold Layer tables, and core data models for segmentation, targeting, automation, and analytics.
• Design semantic layers, data dictionaries, and structured documentation to enable self-serve BI and conversational analytics; partner with BI to ensure sales and marketing KPIs use trusted, well-modeled data.
• Translate ambiguous business questions from Marketing, Sales, and R&D into requirements and scalable solutions, working autonomously and influencing decisions with data and sound reasoning.
• Lead complex cross-team initiatives end to end, establish data pipelines and integrations, manage risks across interdependent teams, and own the reliability and data quality of delivered work.
• Serve as senior technical lead for the team's hardest problems, raise engineering and code-review standards, remove cross-team bottlenecks, and mentor engineers and analysts.
• Build AI-enabled data products and agents, including integrations, retrieval pipelines, and evaluation practices that support reliability and trustworthiness.
• Identify and automate manual workflows with AI across Marketing and GTM teams, taking ideas from concept through prototype to production and influencing organizational roadmaps.
• Ship high-quality Python and SQL, increasingly by directing agentic coding tools, and review and verify AI-generated work before production.
• Champion and role-model Samsara's cultural principles: Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, and Win as a Team.

Benefits

• Initial RSU grant with no vesting cliff and ongoing refresh opportunities tied to performance, subject to plan terms and conditions.
• Performance-based bonus or variable pay and equity for eligible roles.
• Flexible, employee-led remote work model.
• Professional development stipend.
• Comprehensive health and parental leave plans.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed