Senior Product Manager – Safety AI

9 hours ago

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Samsara

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Enterprise • Transport • Security

Samsara is a technology company that provides a comprehensive operations platform aimed at improving the efficiency, safety, and sustainability of organizations. Their solutions include video-based safety, vehicle telematics, equipment monitoring, workforce applications, and site visibility. Samsara serves a wide range of industries, including transportation, logistics, construction, and government. The platform connects people, systems, and data, enabling organizations to make faster, data-informed decisions. Samsara's Connected Operations technology helps complex organizations operate more effectively by offering real-time GPS, proactive alerts, compliance training, and asset tracking.

1001 - 5000 employees

Founded 2015

🏢 Enterprise

🚗 Transport

🔐 Security

💰 Seed Round on 2014-08

📋 Description

• Define and own the end-to-end product strategy for a major new area within Video-based Safety, acting as the entrepreneurial CEO of your product line. • Lead the development cycle of real-time AI/ML models, from ideation and data strategy to model deployment and iteration on connected devices at massive scale. • Identify, design, and take to market innovative solutions that drive measurable safety outcomes, working across Design, Engineering, and Go-to-Market teams. • Develop a bold, long-term vision for your product area, while consistently maintaining the ability to dive into execution details and unblock complex technical challenges. • Champion, role model, and embed Samsara’s cultural principles as we scale globally.

🎯 Requirements

• 7+ years of progressive product management experience with a visible history of successfully launching and scaling technically complex products. • Prior experience shipping features that rely heavily on Machine Learning, Computer Vision (CV), or large-scale IoT data processing. • Strong technical acumen that enables you to establish immediate credibility with engineers; comfortable engaging in technical trade-off discussions regarding model architecture, training, and deployment. • A bias-to-action and hands-on experience delivering tangible business outcomes in a fast-paced, high-growth environment. • Excellent communication skills, comfortable and effective presenting strategy and results to customers and senior executive leadership. • Undergraduate or graduate degree (MS, PhD, or MBA) in Computer Science, Engineering, or a related technical field. • Experience defining the product roadmap for hardware/software integrated systems or SaaS products that manage physical assets. • A deep understanding of data quality, labeling pipelines, and MLOps best practices in a production environment. • Proven ability to define key performance indicators (KPIs) for ML-driven products and use data science to measure model efficacy and business impact.

🏖️ Benefits

• Full time employees receive a competitive total compensation package along with employee-led remote and flexible working, health benefits, and much, much more.