Automation Product Manager

Position Summary

Accountable for the end-to-end success of a chemical dispensing automation portfolio that integrates industrial process data to deliver trended insights and AI-driven recommendations. This role defines the product requirements for automated chemical dosing equipment, telemetry solutions, and software to deliver quantifiable optimizations to industrial customers.

This role will be responsible for ensuring that the combination of these automated solutions will yield measurable business value, improved customer retention, increased chemical sales, and profitable equipment growth. This role will enable a digital transformation into a data-driven, insight-led service model, improving customer outcomes while unlocking new growth through analytics, digital differentiation, and smarter chemical program management.

Key Responsibilities

• Own automation portfolio strategy, roadmap, and project delivery

• Deliver scalable platforms that collect process data, translate this data into trended insights, and provide predictive and prescriptive analytics

• Ensure high-quality, on-time delivery through Agile execution

• Lead pilot programs and field testing to validate usability, data quality, and value

• Drive adoption by aligning product capabilities with real-world workflows

• Scale from pilot to full deployment across target customers

• Partner with commercial teams to define value proposition and enable successful launch

• Support sales, field teams, and customer onboarding

• Remove adoption barriers and drive sustained usage

• Develop and maintain the product business case

• Manage the project budget including costs for development and implementation

• Continuously refine assumptions using actual performance data

• Define, track, and communicate key performance metrics:

  • Customer retention / churn reduction
  • Incremental chemical sales
  • Profitable equipment sales
  • Product adoption and engagement

• Ensure clear linkage between product capabilities and financial outcomes

• Identify and mitigate:

  • Technical risks (data integration, scalability, AI readiness)
  • Operational risks (data quality, usability, field adoption)
  • Commercial risks (pricing, value realization)

• Drive roadmap toward machine learning–based insights and recommendations

• Partner with IT to define use-cases, data requirements, and success metrics

Minimum Qualifications

• Experience: 10 years of project/product management experience

• Proven track record of leading high-performing teams and delivering complex projects

• Sales and customer service experience is an asset

Education Qualifications

• Bachelor’s degree in Engineering (Chemical, Mechanical, Environmental, or Industrial)

• MBA or extensive business management experience