AI Product Manager

SimpliSafe • Boston, MA

5d • Hybrid

About The Position

About SimpliSafe SimpliSafe is a leading innovator in home security, on a mission to make every home a safe home. We build user-centric hardware, software, and services that protect what matters most, with a hybrid work model and a highly collaborative, low-ego culture. Why this role exists We’re scaling AI and machine learning across our products, devices, and operations. To do this well, we need a Principal Product Manager who understands not only how to apply AI in user experiences, but also how models, data, and pipelines are built, deployed, and operated in production—including on resource-constrained, edge hardware. You will lead our highest-impact AI initiatives end-to-end: defining where to invest, shaping model and data requirements, partnering with MLOps and ML engineering on deployment (cloud and edge), and driving continuous improvement after launch.

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 (not just integrating third-party AI APIs), 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, labeling, training/validation, evaluation metrics, deployment, monitoring, and retraining.
• ML experience with at least one of following: computer vision or sensor data, LLM-powered applications (prompting, RAG, fine-tuning, evaluation) and/or hardware or edge products (e.g., on-device models, connectivity/latency trade-offs).
• Familiarity with modern ML infrastructure (cloud platforms, model serving, CI/CD for ML, monitoring/alerting).
• Comfortable going deep into data, metrics, and model behavior—not just the UX layer.
• Excellent communicator who can make complex AI topics clear to diverse audiences.
• Strong alignment with our values: customer-obsessed, low ego, highly collaborative, comfortable with ambiguity, and biased toward learning and iteration.

Nice To Haves

• 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.

Responsibilities

• Vision & strategy Define and communicate the multi-year roadmap for key AI/ML capabilities across SimpliSafe. Identify and prioritize AI opportunities where models and data can materially improve safety, customer experience, or efficiency—on both devices and cloud services. Make build-vs-buy decisions for AI capabilities in partnership with data science and engineering.
• End-to-end AI systems (cloud & edge) Partner with data scientists, ML engineers, and MLOps to design and deliver end-to-end ML solutions—from problem framing through data, training, evaluation, deployment, and monitoring. Work with hardware and embedded teams to shape edge AI/ML experiences (e.g., on-device detection, low-latency decisions, bandwidth-aware designs). Define model-level requirements (metrics, latency, cost, guardrails) and connect them to business outcomes (e.g., false alarm reduction, detection accuracy, handle time, CSAT). Translate product needs into requirements for ML platform capabilities (model serving, observability, experiment tracking, human-in-the-loop tools).
• Generative AI & LLMs Lead product direction for LLM and multimodal use cases (e.g., text, vision, sensor data). Decide when to use prompt engineering, RAG, fine-tuning, or traditional ML—and how to evaluate quality, safety, and hallucinations. Design workflows that incorporate human review and escalation where needed.
• Execution & leadership Drive cross-functional execution across product, engineering, data science, hardware/firmware, operations, and go-to-market. Establish feedback loops (customer feedback, annotation programs, operational input) and use them to guide retraining and iteration. Operate at Principal level: set direction across multiple teams and mentor other PMs.
• Risk, ethics & communication Ensure ethical and responsible use of AI, including privacy, bias, explainability, and safety guardrails. Communicate how AI systems work, their benefits, and their limitations to executives and non-technical stakeholders.

Benefits

• A mission- and values-driven culture and a safe, inclusive environment where you can build, grow, and thrive.
• A comprehensive total rewards package that supports your wellness and provides security for SimpliSafers and their families.
• Free SimpliSafe system and professional monitoring for your home.
• Employee Resource Groups (ERGs) that bring people together, give opportunities to network, mentor and develop, and advocate for change.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 1,001-5,000 employees