AI Product ManagerBoston, MA

Senior Product Manager - AI & Machine Learning

SimpliSafe is a leading innovator in the home security industry, dedicated to making every home a safe home. With a mission to provide accessible and comprehensive security solutions, we design and build user-centric products that empower individuals and families to protect what matters most. We believe in a collaborative and agile environment where learning and growth are continuous. Our teams are composed of talented individuals who are passionate about technology, security, and delivering exceptional customer experiences. We're embracing a hybrid work model that enables our teams to split their time between office and home.

Hybrid for us means we expect our teams to come together in our state-of-the-art office on two core days, typically Tuesday and Wednesday, to work together in person, and teams can choose where they work for the remainder of the week. We all benefit from flexibility and get to use the best of both worlds to get our work done.

About the Role

As a Senior Product Manager - AI & Machine Learning, you will be a product management expert tapped to lead the most critical AI projects and programs. You will work with cross-functional teams to define and deliver new product service experiences, leveraging your deep understanding of technology, business, and customer needs to lead thinking on our AI-powered products and services. You will have the latitude to operate independently while navigating ambiguous problems, identifying new opportunities, and bringing new concepts to life. You will be the "go-to" person for complex AI projects, sought out for your broad skills within and outside of the product teams. You will also be responsible for staying up-to-date with the latest developments in the rapidly evolving field of AI, especially generative AI and foundational models. You will be expected to go beyond "assigned" projects to identify issues and opportunities and propose AI-based solutions.

Responsibilities

• Define and articulate the product vision, strategy, and roadmap for AI and machine learning products, aligning with overall company goals.
• Lead the end-to-end AI product development lifecycle, from concept to launch, ensuring products meet customer needs and business objectives. This includes defining clear metrics for success and being open to pivoting based on user feedback.
• Stay abreast of industry trends, emerging technologies, and competitor products, especially in generative AI, to drive continuous innovation. This includes understanding new Large Language Modes (LLM) and Vision Language Model (VLM) capabilities.
• Collaborate with cross-functional teams, including other product managers, engineering, data science, design, legal, compliance, marketing, and sales, to drive the development and launch of high-quality AI products. You will need to work closely with data scientists, ML engineers, and data engineers.
• Work closely with technical teams to understand the feasibility and limitations of proposed AI solutions, including the implications of using different foundational models, RAG (Retrieval Augmented Generation), and fine-tuning.
• Prioritize features and functionality based on a combination of customer feedback, market opportunities, business goals, and technical constraints.
• Establish key performance indicators (KPIs) and metrics to measure the success of AI products, and use data to drive continuous improvement. This includes defining model and business outcome metrics.
• Monitor product adoption, user satisfaction, and revenue metrics to inform future product iterations.
• Develop and implement testing strategies that involve customers early in the development process, even after the first week of implementation, to gather feedback and iterate rapidly. This includes encouraging pilot projects to test AI ideas.
• Be able to explain the entire architecture of AI products to customers and stakeholders, including how data is handled, how models are trained, and why specific approaches are used.
• Ensure the ethical and responsible use of AI, including addressing data privacy concerns, avoiding bias, and incorporating guardrails. You will act as a voice for ethical AI and highlighting risks.
• Understand data dependencies and collaborate across teams to access necessary data for AI solutions, working with data sourcing and annotation teams. You should also understand data privacy regulations.
• Establish robust feedback loops to analyze and retrain models, and prioritize which feedback to incorporate.

Qualification

About You

What Values You'll Share

What We Offer

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 careers@simplisafe.com.