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AI Product Manager

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SimpliSafe

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Location:
United States , Boston

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

121300.00 - 177900.00 USD / Year
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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.

Additional Information:

Job Posted:
December 23, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
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