About the role:

The Growth team is looking for a Data Product Manager to build and own data products that enable Samsara to go to market more effectively. You’ll partner closely with our data, marketing, sales and other go-to-market teams to define our data collection, management, and usage strategy to inform and plan our marketing and sales activities. You’ll work with our marketing data engineering and analytics teams to develop data products and models that unlock scalable and smart go-to-market motions. This role is for you if you have a passion for driving impact with data and thrive working with several cross-functional stakeholders.

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-caliber team that will encourage you to do your best. 

In this role, you will: 

• Define customer and digital data collection, management and usage strategy to enable Samsara’s marketing and sales programs.
• Identify opportunities to leverage customer and product data, and build data products, pipelines and models that enable scalable and smart go-to-market activities.
• Partner with the go-to-market stakeholders to build and manage data product roadmap. Own delivery against the roadmap from requirements definition to completion in collaboration with the Marketing Data and Analytics team, and the internal and external data and technology partners.
• Document business scenarios, customer journeys and expected outcomes mapped to requisite data and automation capabilities solutions.
• Act as subject matter expert with business stakeholders on internal data, technical processes and solution approaches.  
• Suggest and enhance processes for team operations to drive team productivity and cross-functional collaboration.
• 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 degree in a quantitative field or equivalent experience.
• 5+ years of experience working with data engineering and analytics teams to spearhead and deliver cross-functional data initiatives.
• 2+ years of experience building complex data products and capabilities across Marketing, Sales or Customer Success programs.
• Solid understanding of cloud data platforms, reporting systems and predictive analytics.
• Excellent program management and organization skills with attention to detail.
• Strong communication skills with an ability to succinctly communicate with technical and non-technical stakeholders and executives.
• Ability to collaborate and drive cross-team technical negotiations.
• Familiarity with customer, marketing and/or web data. 
• Intermediate-level proficiency in SQL and working with data products.
• Bias-to-action and aren’t afraid to get your hands dirty.

An ideal candidate also has:

• Experience integrating data from Sales CRM (E.g. Salesforce) and Marketing platforms (E.g. Marketing Automation tools like Marketo, and web analytics).
• Experience working with CDPs such as Segment, data technologies stack such as Databricks and BigQuery, and data visualization tools such as Tableau and Looker.
• Data Science, machine learning or predictive analytics experience.