Note: The job is a remote job and is open to candidates in USA. Samsara is hiring a Senior AI Data & Analytics Engineer II to build the data foundation for AI and self-serve analytics within its Marketing Data and Analytics Engineering team. The role owns marketing data infrastructure, semantic models, and AI-enabled data products, while leading cross-functional initiatives and improving automation, reliability, and data quality.
Responsibilities
- Partner on defining the strategy and multi-quarter roadmap for MDA's data and AI foundation
- Architect and own Samsara's marketing data infrastructure: ETL/ELT pipelines, Databricks Gold Layer tables, and the core data models that power segmentation, targeting, automation, and analytics
- Design the semantic layers, data dictionaries, and structured documentation that enable self-serve BI and conversational analytics, partnering with the BI team to ensure core sales and marketing KPIs are built on trusted, well-modeled data
- Translate ambiguous business questions from Marketing, Sales, and R&D into clear requirements and scalable solutions, working autonomously without dedicated PM support and influencing decisions with data and sound reasoning
- Lead complex, cross-team initiatives end to end: stand up new data pipelines and integrations quickly, manage risk across interdependent teams, and own the reliability and data quality of what ships
- Serve as the senior technical lead for the team's hardest problems: raise the bar for engineering quality and code review, remove bottlenecks that slow multiple teams, and mentor engineers and analysts
- Drive the strategic use of AI to solve ambiguous, high-impact problems: build AI-enabled data products and agents, with the integrations, retrieval pipelines, and evaluation practices that keep them reliable and trustworthy
- Identify and automate manual workflows with AI across Marketing and GTM teams, taking ideas from concept to prototype to production and influencing org roadmaps
- Ship high-quality Python and SQL, increasingly by directing agentic coding tools, while holding a high bar for reviewing and verifying AI-generated work before it reaches production
- Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices
Skills
- 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 similar, such as Snowflake or BigQuery)
- Experience building semantic layers and structured documentation optimized for AI ingestion and agentic workflows
- Agentic coding tools (e.g., Claude Code, Cursor) are part of your regular workflow, and you verify and take ownership of AI-generated output
- Experience building, shipping, evaluating, and monitoring LLM or agent systems in production
- Track record of leading complex, cross-team data initiatives, including independent requirements gathering with technical and non-technical stakeholders
- Experience supporting Marketing, Sales, or Product teams
- This role is open to candidates residing in the US
- Experience working with Databricks and building AI Agents within the 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: CRM (e.g., 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
Benefits
- Initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance, subject to plan terms and conditions.
- Performance-based bonus/variable pay.
- Flexible, employee-led remote model.
- Professional development stipend.
- Comprehensive health and parental leave plans.
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