AI Product Manager at SimpliSafe

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.

What you’ll own

• 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.

What we’re looking for

• 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.

About You

• You are excited to go deep under the hood: data, pipelines, model choices, failure modes—not just the UX layer.
• You’re comfortable in non-deterministic environments where experiments fail, models drift, and iteration is the norm.
• You combine data-driven decision making with sound judgment when data is incomplete.
• You’re an exceptional communicator who can explain complex AI systems to diverse audiences and bring them along in the decision.
• You lead through influence, building alignment across product, engineering, data science, operations, and leadership.
• You are a continuous learner who keeps up with AI/ML advancements and can distinguish lasting foundations from short-lived hype.

What Values You’ll Share

• Customer Obsessed – Building deep empathy for our customers, putting them at the core of our work, and developing strong, long-term relationships with them.
• Aim High – Always challenging ourselves and others to raise the bar.
• No Ego – Maintaining a “no job too small” attitude, and an open, inclusive, and humble style.
• One Team – Taking a highly collaborative approach to achieving success.
• Lift As We Climb – Investing in developing others and helping those around us succeed.
• Lean & Nimble – Working with agility and efficiency to experiment in an often ambiguous environment.

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 (For more information on our total rewards please click here)
• 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.

The target annual base pay range for this role is $121,300 to $177,900.

This target annual base pay range represents our good-faith estimate of what we expect to pay for this role. We use a market-based compensation approach to set our target annual base pay ranges and make adjustments annually. We carefully tailor individual compensation packages, including base pay, taking into consideration employees’ job-related skills, experience, qualifications, work location, and other relevant business factors. 

Beyond base pay, we offer a Total Rewards package that may include participation in our annual bonus program, equity, and other forms of compensation, in addition to a full range of medical, retirement, and lifestyle benefits. More details can be found here.

We’re committed to fair and equitable pay practices, as well as pay transparency. We regularly review our programs to ensure they remain competitive and aligned with our values.

We wholeheartedly embrace and actively seek applications from all individuals, no matter how they identify. We are committed to cultivating a diverse and inclusive workplace, and we believe our work is enriched when we incorporate a multitude of perspectives, backgrounds, and experiences. We want everyone who works here to thrive and contribute to not only our mission of keeping every home secure, but also to making our workplace safe and supportive for others. If a reasonable accommodation may be needed to fully participate in the job application or interview process, to perform the essential functions of a position, or to receive other benefits and privileges of employment, please contact [email protected].