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Product Manager, AI

United States

AssetWatch serves global manufacturers by powering manufacturing uptime through the delivery of an unparalleled condition monitoring experience, with a passion to care about the assets our customers care for every day. We are a devoted and capable team that includes world-renowned engineers and distinguished business leaders united by a common goal – To build the future of predictive maintenance. As we enter the next phase of rapid growth, we are seeking people to help lead the journey. 

We’re looking for an AI Product Manager to help weave intelligence throughout the AssetWatch experience — from predictive insights and recommendations to proactive workflows and product-led growth.  

You’ll partner with designers, engineers, data scientists, and internal teams to turn AI research into practical, high-impact features that deliver measurable customer value. 

Success in this role means turning AI research into reliable, explainable, and high-impact product experiences that drive equipment reliability, user efficiency, and scalable business growth. 

Role Overview:

  • Partner across product lines to define and deliver AI capabilities that improve reliability, efficiency, and user value across AssetWatch’s web, mobile, and core platform experiences. 
  • Translate AI research into product reality by collaborating with Data Science and Engineering to evaluate models, shape features, and ship trustworthy, high-impact experiences. 
  • Design proactive, intuitive, and scalable experiences by working with Design, Data Science, and Engineering to prototype and validate AI-powered insights, recommendations, and automation. 
  • Drive product-led growth through intelligence by designing AI-enhanced onboarding, nudges, and adaptive experiences that help users find value faster, deepen engagement, and expand usage over time. 
  • Build trust and champion responsible AI by ensuring outputs are interpretable, ethical, and communicated transparently so customers and stakeholders confidently adopt intelligent workflows. 
  • Enable go-to-market success and cross-functional alignment by partnering with Product, Marketing, Sales, Customer Success, and Support to identify where AI can enhance workflows, insights, and customer outcomes.   
  • Measure what matters by defining KPIs that link model performance to user behavior, decision quality, and business ROI, ensuring launches deliver clear value and adoption. 
  • Shape long-term differentiation by partnering with AI leadership and cross-functional teams to evolve AssetWatch’s AI strategy, operational efficiency, and the tools that make our teams and customers smarter. 

Qualifications: 

  • 3–5 years of product management experience, ideally in B2B SaaS with exposure to machine learning, analytics, or data-driven workflows. 
  • A technical or quantitative foundation such as a degree in Data Science, Computer Science, or Engineering, or equivalent hands-on experience working with AI/ML products and teams. 
  • Proven ability to work across teams and communicate effectively, partnering with designers, engineers, data scientists, and stakeholders to translate technical depth into clear customer value, build alignment, and drive iteration from concept to production. 
  • Strong understanding of responsible AI principles and their practical application in enterprise settings where trust, accuracy, and decision support matter most. 
  • Experience leading discovery, prototyping, and rapid iteration, using data and experimentation to guide decisions, measure impact, and scale what works. 
  • Fluency with analytics and experimentation tools (e.g., Pendo, QuickSight, Amplitude, Mixpanel) and the ability to use data to guide prioritization and measure impact. 

Nice to Haves 

  • Background in industrial software, IoT platforms, or predictive maintenance, especially with sensor-based data or time-series modeling. 
  • Experience working with AI-powered features such as chatbots, LLMs, predictive analytics, or anomaly detection, and familiarity with retrieval or knowledge-integrated systems (e.g., Notion, SharePoint, SQL). 
  • Understanding of how AI models are deployed, evaluated, and improved over time, including collaboration with technical teams to ensure accuracy, reliability, and explainability. 
  • Experience in product-led growth (PLG) environments, where product experience, user behavior, and data insights fuel adoption and retention. 

 

We’re building a team that’s curious, collaborative, and driven by impact. If you’re excited about shaping the future of applied AI in manufacturing, we’d love to meet you. 

 

#LI-REMOTE

What We Offer: 

AssetWatch is a remote-first company that puts people at the center of everything we do. We want our team members to thrive - that’s why we offer a range of benefits and perks designed to support your well-being, growth, and work-life balance. 

  • Competitive compensation package including stock options 
  • Flexible work schedule 
  • Comprehensive benefits including retirement plan match 
  • Opportunity to make a real impact every day 
  • Work with a dynamic and growing team 
  • Unlimited PTO 

We have a distributed team that works remotely across locations in the United States and Ontario, Canada. Collaboration within core working hours is required. 

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