Senior Product Manager - Safety AI
- 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-calibre team that will encourage you to do your best.
- 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.
- 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.
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