Manager II, Data Platform

You should apply if:

You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact—helping to keep the lights on, get food into grocery stores, 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 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.
You believe customers are more than a number: Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes.
You are a team player: Working on our Samsara Engineering teams 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.
Click here to learn about what we value at Samsara.

In this role, you will:
Lead a team of data-focused engineers to build and maintain a stable, scalable, and modern data platform capable of handling petabytes of data.
Help drive long-term planning and establish scalable processes for execution.
Actively contribute to building the data roadmap for Samsara, including being a thought leader in our AI transformation.
Stay connected to novel technological developments that suit Samsara’s needs.
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.
Hire, develop and lead an inclusive, engaged, and high-performing international team.
Minimum requirements for the role:

BS, MS, or PhD in Computer Science or other related technical degree.
2+ years of technical people management experience.
5+ years of relevant technical experience with data infrastructure.
Experience building and deploying large-scale data platform systems with feedback loops for continuous improvement.
Comfortable leading infrastructure development in collaboration with cross functional teams, scientists, and researchers.
A solid understanding of agentic development practices.
An ideal candidate also has:

MS or PhD in Computer Science or other technical degree.
Experience with state-of-art data platform technologies such as:
AWS (S3 and RDS, SQS, DMS, Dynamo, etc.).
Spark a must, Flink, Trino/Presto a plus.
Data lake file formats such as Delta, Hudi, or Iceberg.
Python/Scala.
Container based orchestration services such as Kubernetes, ECS, Fargate, etc.
Infrastructure as Code tools (e.g., Terraform).
Go is a plus.
Data orchestration system experience is a plus (e.g., Airflow, Dagster).
Proven track record for innovation and delivering value to customers (both internal and external).
Demonstrated ability to build cross-functional consensus and drive cross-team collaboration.
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
$154,700—$234,000 USD
Total Rewards

Skills Required
BS, MS, or PhD in Computer Science or related technical degree.
2+ years of technical people management experience.
5+ years of relevant technical experience with data infrastructure.
Experience building and deploying large-scale data platform systems with feedback loops for continuous improvement.
Comfortable leading infrastructure development in collaboration with cross-functional teams, scientists, and researchers.
Solid understanding of agentic development practices.
Experience with AWS (S3, RDS, SQS, DMS, Dynamo) and cloud data services.
Experience with Spark (required), Flink, and Trino/Presto.
Familiarity with data lake file formats (Delta, Hudi, Iceberg).
Proficiency in Python or Scala (Go is a plus).
Experience with container orchestration (Kubernetes, ECS, Fargate).
Experience with Infrastructure as Code (Terraform).
Experience with data orchestration systems (Airflow, Dagster).
Proven track record for innovation and delivering value to customers.
Demonstrated ability to build cross-functional consensus and drive collaboration