Product Engineer working closely with specialty chemical manufacturers to implement AI solutions. Collaborating on digital twin projects to optimize manufacturing processes.
Responsibilities
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
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
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
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
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