Publié il y a 5 mois
Product Engineer (Chemicals)
@ Basetwo
Vancouver, Colombie-Britannique
En bref
Basetwo is hiring a Product Engineer to work with specialty chemical manufacturing customers on AI-powered digital twin solutions in lab-scale and plant environments. The role involves analyzing process and lab/DoE data, building Python simulations, onboarding enterprise partners, and feeding customer insights back into the platform. Compensation includes equity and benefits.
Responsabilités :
- Lead digital twin onboarding and deployment at chemical manufacturing customers
- Analyze process, lab and DoE data to find bottlenecks and optimization opportunities
- Build simulations and analytical workflows in Python
- Integrate and contextualize data from industrial historians
- Communicate technical findings to technical and non-technical stakeholders
Résumé des exigences :
- 5 to 7+ years of engineering experience in chemical manufacturing
- Strong understanding of plant, pilot and lab-scale processes
- Strong Python skills for simulation and process analysis
- Proven ability to analyze process and lab/DoE data
- Strong customer-facing communication skills
Outils et compétences
Source et dates
Site carrière / système de candidatures · workable
- Date publiée par l’employeur
- 2026-06-25
- Première détection par notre source
- 2026-10-09
- Mise à jour du dossier source
- 2026-10-09
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Domaine | Génie |
| Expérience | 5 an(s) et plus |
| Déplacements | avion : modérés · route : modérés |
| Milieu de travail | Chez les clients, Laboratoire, Usine |
| Position | Assis et debout |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Avantages mentionnés | Actions ou participation |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Basetwo
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
AI Engineered for Manufacturing
Description complète de l’entreprise
Basetwo is a venture-backed AI company helping pharma, specialty chemical, and cosmetics manufacturers bring products to full-scale production faster and with less risk. We give manufacturers a “digital twin” of their production process - a virtual replica that lets them simulate, test, and optimize manufacturing before running it in the real world. Instead of learning through costly mistakes on the plant floor, teams can predict performance, de-risk scale-up, and standardize tech transfer in advance. Basetwo is already deployed with leading global pharmaceutical, specialty chemical, and personal care manufacturers. We’re building the AI layer for manufacturing process development, scale-up and quality control - turning one of the slowest, riskiest parts of manufacturing into a predictable, data-driven process.
- Abonnés LinkedIn
- 11 087
- Personnes associées sur LinkedIn
- 36
- Bureaux déclarés
- Toronto, Ontario, CA
- 275 Newbury St, Boston, Massachusetts 02116, US
- Hamouda Bin Ali Al Dhaheri Street 111, Al Maryah Island, Abu Dhabi Emirate 22642, AE
- Catégories d’activité
- Aerospace
- Chemical
- Industrial Automation
- Industrial Manufacturing
- Manufacturing
- Oil and Gas
- Pharmaceutical
- Predictive Analytics
- Software
- Autres noms enregistrés
- Basetwo
- Basetwo AI
- Spécialités
- Machine Learning
- Simulation
- Process Control
- Process Optimization
- Digital Twin
- Pharmaceuticals
- Industry 4.0
- Chemicals
- Manufacturing
- Batteries
- AI
- Cosmetics Manufacturing
- Specialty Chemicals
- Scale up
- Development
- and Tech transfer
- Le profil indique une agence de recrutement
- Non
- Investissement total déclaré
- 18 423 352
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
Basetwo is a venture-backed AI company helping pharma, specialty chemical, and cosmetics manufacturers bring products to full-scale production faster and with less risk. We give manufacturers a “digital twin” of their production process - a virtual replica that lets them simulate, test, and optimize manufacturing before running it in the real world. Instead of learning through costly mistakes on the plant floor…
| Champ | Valeur |
|---|---|
| Secteur | Software Development |
| Taille | 11-50 employees |
| Siège social | Toronto, Ontario |
| Type d’organisation | Privately Held |
| Spécialités | Machine LearningSimulationProcess ControlProcess OptimizationDigital TwinPharmaceuticalsIndustry 4.0ChemicalsManufacturingBatteries |
| Offres sur Jobsy | 4 |
| Voir la page |
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
Journal
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