Senior AI Data & Analytics Engineer II
MA · SF Bay Area · USD 137,445-231,000 / year · 8+ years experience · Remote · Posted Oct 14, 2026
At a glance
- Experience
- 8+ years experience
- Workplace
- Remote
- Location
- MA · SF Bay Area
- Salary
- USD 137,445-231,000 / year · Base salary
About the role
- Want to build the data foundation powering AI and self-serve analytics at scale?
- As part of Samsara's Marketing Data and Analytics (MDA) Engineering team, you will shape the technical roadmap alongside our BI and Data Science peers.
- You will architect core Databricks pipelines, Gold Layer tables, and semantic models, turning ambitious, ambiguous business challenges into high-value data products, autonomous agents, and cross-functional automation.
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 as we scale globally and across new offices.
Requirements
- 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.
Preferred qualifications
- 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
- Base salary, performance-based bonus/variable pay, and equity
- Professional development stipend
- Comprehensive health and parental leave plans
Workplace
- Flexible, employee-led remote model with offices open for those who prefer to work in-person.
Skills
- Python
- SQL
- Dbt
- Databricks
- Snowflake
- BigQuery
- Claude Code
- Cursor
- Salesforce
- Streamlit
