AI Product Manager Job at SimpliSafe (Boston)

Job Description

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.

Job Responsibility

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
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)
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
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
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.

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 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.

What we offer

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
Participation in our annual bonus program, equity, and other forms of compensation, in addition to a full range of medical, retirement, and lifestyle benefits.

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AI Product Manager

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