AI Product Manager

TL;DR

AI Product Manager: Defining and driving the multi-year roadmap for key AI/ML capabilities across hirify.global's products, devices, and operations with an accent on applying AI in user experiences, model deployment, and data pipelines. Focus on leading high-impact AI initiatives end-to-end, shaping model and data requirements, and partnering with MLOps and ML engineering for deployment on both cloud and edge hardware.

Location: Hybrid in Boston, MA

Salary: $121,300–$177,900 annually

Company

hirify.global is a leading innovator in home security, focused on building user-centric hardware, software, and services.

What you will do

• Define and communicate the multi-year roadmap for key AI/ML capabilities.
• Identify and prioritize AI opportunities to materially improve safety, customer experience, or efficiency.
• Partner with data scientists, ML engineers, and MLOps to design and deliver end-to-end ML solutions.
• Work with hardware and embedded teams to shape edge AI/ML experiences.
• Lead product direction for LLM and multimodal use cases.
• Drive cross-functional execution and establish feedback loops for continuous iteration.

Requirements

• 8+ years of product management experience, including significant ownership of AI/ML or data-intensive products.
• Clear track record of shipping production ML systems in close partnership with data science, ML engineering, and MLOps.
• Principal-level impact: leading cross-team initiatives, shaping strategy, and influencing senior stakeholders.
• Strong understanding of core ML concepts and lifecycle: data, training/validation, evaluation metrics, deployment, monitoring, and retraining.
• ML experience with at least one of the following: computer vision or sensor data, LLM-powered applications, and/or hardware or edge products.
• Familiarity with modern ML infrastructure (cloud platforms, model serving, CI/CD for ML, monitoring/alerting).
• Excellent communicator who can make complex AI topics clear to diverse audiences.

Nice to have

• Prior hands-on experience as a data scientist, ML engineer, or MLOps engineer.
• Experience with ML platforms (feature stores, pipeline orchestration, experiment tracking).
• Experience in regulated or safety-critical environments.

Culture & Benefits

• A mission- and values-driven culture with a safe, inclusive environment.
• A comprehensive total rewards package that supports wellness and provides security.
• Free hirify.global system and professional monitoring for your home.
• Employee Resource Groups (ERGs) that bring people together, network, mentor, and advocate.
• Hybrid work model with a highly collaborative, low-ego culture.