Manager, Data Engineering

Who we are

Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale.

Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, Equipment Monitoring, and Site Visibility. As part of a recently public company, you’ll have the autonomy and support to make an impact as we build for the long term. 

Recent awards we’ve won include:

Great Place To Work Certified™ 2023

Best Place to Work by Built In 2023

Financial Times The Americas’ Fastest Growing Companies 2023

Deloitte Fast 500 Companies

IoT Analytics Company of the Year in 2022’s IoT Breakthrough Winners

We see a profound opportunity for data to improve the safety, efficiency, and sustainability of operations, and hope you consider joining us on this exciting journey. 

About the role:

We are looking for a Manager to lead our Data Engineering team under the Marketing organization. This team builds and scales the data infrastructure that powers our broader sales and marketing initiatives. As a team, we are uniquely positioned between Sales, Marketing, Product and Finance and incorporate data from over 50+ sources into our centralized data infrastructure. You will partner with these organizations and guide an experienced team of data engineers to continue to scale the reliability, latency, monitoring, security and accessibility of our data infrastructure.

The ideal candidate will have strong data infrastructure and data architecture skills, a proven track record of supervising and scaling data engineering teams, strong operational and project management skills to drive execution, strong leadership, and a strong vision for how we can proactively leverage our data in Sales and Marketing. 

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 want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the world's physical operations.
• You are a team player: Working on our partners requires a mix of independent effort and collaboration. Motivated by our mission, we’re all racing toward our connected operations vision, and we intend to win—together.
• You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go.

Click here to learn about what we value at Samsara. 

In this role, you will: 

• Proactively drive the vision for our central Sales and Marketing data infrastructure and execute on a plan to achieve that vision
• Provide effective leadership to the data engineering team, set clear objectives, prioritize effectively and define individual roles and responsibilities within the team. 
• Foster a positive and collaborative work environment, promote professional growth, and provide guidance and support to team members
• Collaborate with stakeholders to understand project requirements and priorities. Plan data engineering projects, set timelines, and allocate resources effectively to ensure successful execution
• Monitor the performance of data pipelines and infrastructure, identifying bottlenecks and areas for improvement. Implement optimizations to enhance the overall efficiency and reliability of data processing.
• Offer technical expertise and guidance to team members, assisting them with problem-solving and making architectural judgements for data pipelines and infrastructure
• Oversee the design, development, and maintenance of data pipelines and ETL processes to ensure the efficient and re