Basetwo is a fast-growing Toronto-based AI-native company transforming Chemical & Pharma manufacturing. Our platform helps manufacturers accelerate process development, scale-up and tech transfer, improve quality control, and reduce operational risk using digital twins.We work with some of the world’s leading manufacturers to bring modern AI into complex industrial environments. Our team combines deep expertise in chemical engineering, manufacturing, digital twins, and software development to solve high-impact industrial challenges.At Basetwo, you’ll work directly with customers to build and deploy solutions that meaningfully improve how critical chemicals, pharmaceutical, and personal care products are manufactured around the world.The RoleWe’re hiring a Product Engineer to work closely with specialty chemical manufacturing customers to deploy AI-powered solutions in real lab-scale and manufacturing environments.This is a highly cross-functional role that combines engineering expertise, customer engagement, data and simulation analysis, and technical problem-solving. You’ll work directly with customer stakeholders - from process engineers to plant leadership - to understand manufacturing challenges, analyze process data, develop simulation models and drive measurable improvements using the Basetwo platform.The ideal candidate is equally comfortable discussing plant or lab-scale operations with process teams, diving into process data using Python, and translating technical insights into customer value.Internally, you will function as the engineering subject matter expert and experienced voice of our customers, via demonstrated project experience across Basetwo’s key focus areas of specialty chemical manufacturing.Externally, you will help onboard enterprise partners by working with their process engineers and other stakeholders to maximize value derived from the Basetwo platform for process development/scale up or quality control initiatives, either through troubleshooting current workflows or architecting new workflows that could bring value to the customer. In collaboration with Sales, Product and Engineering, you will also have the unique opportunity to identify new product use cases, while building and shaping the direction of the Basetwo platform.What You’ll DoThe Product Engineer is the manufacturer’s trusted technical advisor for digital twins initiatives using the Basetwo platform. This includes:1. Leading Customer Success InitiativesPartner directly with chemical manufacturing customers to deploy and scale Basetwo solutionsLead technical onboarding and implementation of digital twin projects across pilot, lab, and commercial manufacturing environmentsBuild trusted relationships with process engineers and scientists, operators, and technical leadership teamsIdentify opportunities for process scale up/tech transfer, operational improvement, and AI-driven insightsTranslate customer pain points into actionable technical solutions and product feedbackDrive successful project execution from initial discovery through deployment and measurable business impact2. Technical Problem Solving & CommunicationAnalyze manufacturing, process, and lab/DoE datasets to uncover process bottlenecks and optimization opportunitiesDevelop simulations, models, and analytical workflows using Python and the Basetwo platformWork with industrial data systems and historians to integrate and contextualize manufacturing dataCollaborate closely with product, engineering, and machine learning teams to improve platform capabilitiesCommunicate technical findings clearly to both technical and non-technical stakeholdersSupport troubleshooting and root-cause investigations in complex manufacturing environmentsContribute to continuous improvement initiatives across customer manufacturing operationsRequirementsWhat You’ll Need5–7+ years of engineering experience in chemical manufacturingStrong understanding of plant, pilot, and lab-scale chemical manufacturing processesPassion and a strong ability to use Python for simulation, modelling, and process analysisProven ability to understand and analyze process and lab/DoE dataStrong communication skills with the ability to work directly with customer stakeholdersProactive problem-solver with a demonstrated track record of driving continuous improvement initiativesExperience working in cross-functional technical environmentsKnowledge of enterprise historians such as OSIsoft PI, DeltaV, Wonderware, GE Proficy, or similar industrial systems is valuableBenefitsWhy Join Basetwo?Work on cutting-edge AI applications in chemical manufacturingCollaborate with a highly technical and mission-driven teamSolve meaningful problems in chemical productionGain exposure to leading global manufacturing organizationsOpportunity for ownership and impact in a rapidly growing companyCompetitive compensation, equity, and benefits package
Basetwo is a fast-growing Toronto-based AI-native company transforming Chemical & Pharma manufacturing. Our platform helps manufacturers accelerate process development, scale-up and tech transfer, improve quality control, and reduce operational risk using digital twins.
We work with some of the world’s leading manufacturers to bring modern AI into complex industrial environments. Our team combines deep expertise in chemical engineering, manufacturing, digital twins, and software development to solve high-impact industrial challenges.
At Basetwo, you’ll work directly with customers to build and deploy solutions that meaningfully improve how critical chemicals, pharmaceutical, and personal care products are manufactured around the world.
The Role
We’re hiring a Product Engineer to work closely with specialty chemical manufacturing customers to deploy AI-powered solutions in real lab-scale and manufacturing environments.
This is a highly cross-functional role that combines engineering expertise, customer engagement, data and simulation analysis, and technical problem-solving. You’ll work directly with customer stakeholders - from process engineers to plant leadership - to understand manufacturing challenges, analyze process data, develop simulation models and drive measurable improvements using the Basetwo platform.
The ideal candidate is equally comfortable discussing plant or lab-scale operations with process teams, diving into process data using Python, and translating technical insights into customer value.
Internally, you will function as the engineering subject matter expert and experienced voice of our customers, via demonstrated project experience across Basetwo’s key focus areas of specialty chemical manufacturing.
Externally, you will help onboard enterprise partners by working with their process engineers and other stakeholders to maximize value derived from the Basetwo platform for process development/scale up or quality control initiatives, either through troubleshooting current workflows or architecting new workflows that could bring value to the customer.
In collaboration with Sales, Product and Engineering, you will also have the unique opportunity to identify new product use cases, while building and shaping the direction of the Basetwo platform.
What You’ll Do
The Product Engineer is the manufacturer’s trusted technical advisor for digital twins initiatives using the Basetwo platform. This includes:
1. Leading Customer Success Initiatives
- Partner directly with 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
2. Technical Problem Solving & Communication
- 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 closely with product, engineering, and machine learning teams to improve platform capabilities
- Communicate technical findings clearly to both technical and non-technical stakeholders
- Support troubleshooting and root-cause investigations in complex manufacturing environments
- Contribute to continuous improvement initiatives across customer manufacturing operations
Requirements
What You’ll Need
- 5–7+ years of engineering experience in chemical manufacturing
- Strong understanding of plant, pilot, and lab-scale chemical manufacturing processes
- Passion and a strong ability to use Python for simulation, modelling, and process analysis
- Proven ability to understand and analyze process and lab/DoE data
- Strong communication skills with the ability to work directly with customer stakeholders
- Proactive problem-solver with a demonstrated track record of driving continuous improvement initiatives
- Experience working in cross-functional technical environments
- Knowledge of enterprise historians such as OSIsoft PI, DeltaV, Wonderware, GE Proficy, or similar industrial systems is valuable
Benefits
Why Join Basetwo?
- Work on cutting-edge AI applications in chemical manufacturing
- Collaborate with a highly technical and mission-driven team
- Solve meaningful problems in chemical production
- Gain exposure to leading global manufacturing organizations
- Opportunity for ownership and impact in a rapidly growing company
- Competitive compensation, equity, and benefits package
Basetwo provides pharmaceutical manufacturers with a low code AI platform to enable their engineers to rapidly troubleshoot and optimize their production processes.
Basetwo provides pharmaceutical manufacturers with a low code AI platform to enable their engineers to rapidly troubleshoot and optimize their production processes.
