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Basetwo

AI-powered digital twins for manufacturing optimization

Product Engineer - Pharma

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeToronto, ON, CanadaHybrid

About the Job

Requirements

  • Have 5–7+ years of engineering experience in pharmaceutical and/or chemical manufacturing.
  • Have a strong understanding of plant-, pilot-, and lab-scale pharmaceutical manufacturing processes.
  • Use Python for simulation, modelling, and process analysis.
  • Understand and analyze process and lab/DoE data.
  • Work directly with customer stakeholders.
  • Have a demonstrated track record of driving continuous improvement initiatives.
  • Have experience working in cross-functional technical environments.

Responsibilities

  • Partner directly with pharmaceutical and chemical manufacturing customers to deploy and scale Basetwo solutions.
  • Lead technical onboarding and implementation of digital twin projects across pilot, lab, and commercial manufacturing environments.
  • Build trusted relationships with process engineers and scientists, operators, and technical leadership teams.
  • Identify opportunities for process scale-up/tech transfer, operational improvement, and AI-driven insights.
  • Translate customer pain points into actionable technical solutions and product feedback.
  • Drive successful project execution from initial discovery through deployment and measurable business impact.
  • Analyze manufacturing, process, and lab/DoE datasets to uncover process bottlenecks and optimization opportunities.
  • Develop simulations, models, and analytical workflows using Python and the Basetwo platform.
  • Work with industrial data systems and historians to integrate and contextualize manufacturing data.
  • Collaborate with product, engineering, and machine learning teams to improve platform capabilities.
  • Communicate technical findings to technical and non-technical stakeholders.
  • Support troubleshooting and root-cause investigations in complex manufacturing environments.
  • Contribute to continuous improvement initiatives across customer manufacturing operations.

Desired Qualifications

  • Knowledge of enterprise historians such as OSIsoft PI, DeltaV, Wonderware, GE Proficy, or similar industrial systems.
  • Fluency in French.

About the Company

Basetwo

AI-powered digital twins for manufacturing optimization

BaseTwo.ai provides AI-powered manufacturing optimization through a platform that builds digital twins of manufacturing processes, allowing engineers to simulate and optimize operations in a risk-free virtual environment. The system uses AI to recommend the next best action for critical equipment, targeting reductions in energy and material use by 20-30% and cutting manufacturing and assembly cycle times by up to 40% through optimized task sequencing, resource allocation, and standard operating procedures. It also helps engineers assess the carbon footprint of daily control decisions, supporting production goals while pursuing net-zero emissions targets. The business model is likely subscription or usage-based, and the company is trusted by Fortune 500 industry leaders, indicating strong market presence. The goal is to help manufacturers reduce costs, improve efficiency, and minimize environmental impact with scalable AI-driven digital twin technology.

Company size
11-50
Company stage
Series A
Total funding
$23.5M
Headquarters
Toronto, Canada
Founded
2022

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