About the role:

Are you passionate about building robust data architectures that power next-generation, AI-driven business intelligence? Do you thrive in the intersection of data engineering and analytics, wearing both hats to design scalable backends and deliver actionable insights?

We are looking for a Senior Marketing Analytics Manager - Business Intelligence & Data Architecture to join our Marketing Analytics team. In this role, you will work closely with our Marketing, Sales, and Data Engineering teams to build the foundational "Gold Layers" and semantic models that enable self-serve reporting and agentic AI workflows.

This is a great opportunity for a highly technical analyst who is hands-on with Python, Databricks, and SQL, and is excited about creating the infrastructure that enables AI for BI. If you're energized by the challenge of bridging the gap between raw data pipelines and advanced analytical outputs, we'd love to hear from you.

This is a remote position open to candidates residing in the US except the San Francisco Bay Metro Area, NYC Metro Area, and Washington, D.C. Metro Area. Relocation assistance will not be provided for this position.

You should apply if:

• You want to impact the industries that run our world: Your efforts will result in real-world impact-helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely.
• You are the architect of your own career: If you put in the work, this role won't be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment.
• You're energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.
• You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-calibre team that will encourage you to do your best.

In this role, you will:

• Act as the bridge between Data Engineering and Marketing Analytics, designing, building, and maintaining robust ETL pipelines and "Gold Layer" tables in Databricks.
• Develop and document semantic layers, data dictionaries, and markdown files designed specifically to train and enable AI agents for scalable, self-serve BI.
• Develop dashboards and analyses to surface business-critical KPIs and assess sales and marketing performance.
• Perform ad-hoc reporting and deep dives to uncover key insights across programs and initiatives to inform strategy and decision making.
• Partner with marketing stakeholders to translate complex business requirements into scalable data models and analytics-ready datasets.

• 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.

Minimum requirements for the role:

• Bachelor's in Statistics, Computer Science, Business, Economics or other related analytical fields.
• 5+ years of relevant analytics, business intelligence, artificial intelligence or data engineering work experience.
• Expert in SQL, python, DBT and visualization platforms (Tableau preferred).
• Hands-on experience working with Databricks (or similar lakehouse architectures) to transform and model large datasets.
• Experience building data backends, semantic layers, and structured documentation optimized for AI ingestion and agentic workflows.
• Strong analytical and critical thinking skills with experience in data analysis.
• Comfortable leveraging AI tools to accelerate data transformation, analysis, and visualization workflows.
• Experience supporting Sales, Product or Marketing teams.

An ideal candidate also has:

• Experience building interactive applications using Streamlit or Claude workflows.
• Experience building web applications
• Experience working in web analytics
• Sales and marketing experience including familiarity with MarTech tools.
• Navigate large, multifaceted datasets to answer hard questions - drawing on the right analytical or statistical approach for each problem.
• Data Science, machine learning or predictive analytics experience.
• Actively builds AI fluency relevant to BI and analytics work, including prompt engineering for data tasks, exploring AI-assisted features in tools, and staying current on how AI is reshaping the analytics landscape.
• Comfort working in an exploratory environment, testing and iterating on new data sources and methodologies.

The range of annual base salary for full-time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job-related knowledge, skills, and experience. This role is also eligible for an initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance, subject to plan terms and conditions. Learn more about our total rewards and benefits below.

Annual Base Salary

$119,000-$180,000 USD

Total Rewards

At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time.

Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you're ready to build for the long term and own the outcome, your journey starts here.

Flexible Working

At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual's ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable.