Jobs and Careers
AS

Product Manager, AI

AssetWatch
United States, United StatesRemotefull_timeVerifiedPosted 5 Nov 2025

About the role

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

Apply for this role

Generate a tailored application kit with a matched cover letter, interview prep, and CV highlights — in under 60 seconds.

Apply Now →Generate Application Kit

Free account required — sign up in 30s

Company

AssetWatch

View company profile →