AI Product Manager at SimpliSafe

SimpliSafe is a leading innovator in the home security industry, dedicated to our core mission of making every home a safe home. We pride ourselves on building user-centric hardware, software, and services that protect what matters most to our customers. Our team operates in a hybrid work environment characterized by a highly collaborative and low-ego culture where we value diverse perspectives and continuous learning.

Key outcomes

• Define and execute a multi-year product roadmap for AI and machine learning capabilities across our entire ecosystem.
• Partner closely with data science, MLOps, and engineering teams to deliver end-to-end ML solutions, covering everything from initial problem framing to production deployment and monitoring.
• Lead product direction for generative AI and LLM use cases, ensuring high standards for safety, quality, and ethical implementation.
• Collaborate with hardware and embedded teams to optimize AI experiences for resource-constrained edge devices, focusing on latency and efficiency.
• Establish and maintain feedback loops using customer insights and operational data to drive continuous model improvement and retraining.
• Communicate complex AI strategies and system limitations clearly to executive leadership and non-technical stakeholders.

Requirements

• At least 8 years of experience in product management, with a proven track record of owning AI, machine learning, or data-intensive products.
• Demonstrated success in shipping production-grade ML systems in collaboration with cross-functional technical teams.
• Deep understanding of the full ML lifecycle, including data labeling, model training, evaluation metrics, and deployment infrastructure.
• Experience with at least one specialized area, such as computer vision, sensor data analysis, LLM-powered applications, or edge-based hardware products.
• Ability to operate at a Principal level by leading cross-team initiatives, shaping long-term strategy, and mentoring other product managers.
• Strong proficiency in English and the ability to work within the United States.

Preferred qualifications

• Hands-on professional background as a data scientist, ML engineer, or MLOps engineer.
• Practical experience utilizing ML platforms for pipeline orchestration, feature stores, and experiment tracking.
• Previous experience working within regulated or safety-critical industries.

Compensation

The target annual base pay range for this position is $121,300 to $177,900. In addition to base salary, we offer a comprehensive total rewards package that includes:

• Hybrid and remote work flexibility.
• Paid time off.
• Medical insurance coverage.
• 401k retirement planning.
• Employee assistance programs.
• Equity compensation.
• Professional development opportunities.

How to apply

We are excited to learn more about your experience and how you can contribute to our mission of keeping homes secure. If you are interested in this role, please submit your application through our official careers portal. We look forward to reviewing your qualifications.