
Transforming physical operations with IoT technology
Samsara is a leading IoT company headquartered in the Design District of San Francisco, CA, specializing in digitizing physical operations across various industries, including transportation, logistics, and construction. With over 1,000 employees and a successful $805 million IPO, Samsara has raised...
Samsara offers competitive salaries, equity options, generous PTO policies, remote work flexibility, and comprehensive health benefits, including pare...
Samsara fosters a culture focused on innovation and technology, aiming to transform underserved operational sectors with IoT and AI solutions. The com...

Samsara • Remote - UK
Samsara is seeking a Software & ML Engineering Manager to lead a team focused on developing innovative solutions for telematics data. You'll work with technologies like Python and Java to drive impactful product development. This role requires strong leadership and technical expertise in machine learning.
You have a strong background in software engineering and machine learning, with at least 5 years of experience leading teams in developing innovative products. Your expertise in Python and Java allows you to guide your team in building scalable solutions that leverage telematics data effectively. You understand the importance of data analysis and anomaly detection, and you are passionate about transforming physical operations through technology. You have a proven track record of managing high-performing teams and fostering a collaborative environment where engineers can thrive.
You are comfortable with ambiguity and enjoy the challenge of building new products from the ground up. Your leadership style emphasizes mentorship and growth, and you take pride in helping your team members develop their skills and advance their careers. You are adept at communicating complex technical concepts to non-technical stakeholders, ensuring alignment across the organization.
Experience in the IoT space or with telematics data is a plus, as is familiarity with cloud platforms such as AWS or Azure. You may also have experience with data visualization tools and frameworks that enhance the usability of data insights.
As the Software & ML Engineering Manager, you will lead a team of engineers in developing new products that utilize telematics data to detect anomalies and improve operational efficiency. You will be responsible for defining the technical vision and strategy for your team, ensuring that projects align with the company's goals and objectives. You will work closely with product managers and other stakeholders to prioritize features and deliver high-quality solutions that meet user needs.
Your role will involve hands-on technical leadership, guiding your team through the software development lifecycle from ideation to deployment. You will implement best practices in software engineering and machine learning, ensuring that your team adheres to high standards of code quality and performance. You will also be responsible for fostering a culture of innovation, encouraging your team to explore new technologies and methodologies that can enhance product offerings.
In addition to technical leadership, you will play a key role in hiring and developing talent within your team. You will conduct regular one-on-ones and performance reviews, providing constructive feedback and support to help your team members grow. You will also collaborate with cross-functional teams to ensure that product development is aligned with business objectives and user expectations.
At Samsara, we offer a dynamic work environment where you can make a real impact on the future of physical operations. You will have the opportunity to work with cutting-edge technologies and contribute to meaningful projects that improve safety, efficiency, and sustainability across various industries. We provide competitive compensation and benefits, along with opportunities for professional development and career advancement. Join us in shaping the future of connected operations and making a difference in the world.
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