Solutions Engineer L2
Citrine Informatics
Posted
Feb 14, 2026
Location
Remote (US)
Type
Full-time
Compensation
$70000 - $95000
Mission
What you will drive
Responsibilities
- Lead and support technical sales calls with scientists, R&D leaders, and business stakeholders, leveraging Chemistry, Engineering, and/or Materials background
- Develop and deliver tailored demonstrations that clearly communicate platform capabilities and relevance to customer use cases
- Execute materials informatics projects with customers by implementing Citrine's technology and troubleshooting technical hurdles
- Share structured customer feedback and recurring use cases to help inform product direction
Impact
The difference you'll make
This role helps customers accelerate the development of sustainable products that are critical to the future of both our planet and our industry by implementing AI/ML-driven workflows for materials informatics.
Profile
What makes you a great fit
- MS or PhD in Chemical Engineering, Materials Science or Related Field
- 2-5 years of relevant industry experience and/or understanding of chemical processing of materials
- Proficiency in Python (preferred) and practical experience applying statistical or machine learning methods to technical problems
- Demonstrated ability to clearly communicate complex technical concepts to scientists, engineers, and cross-functional business stakeholders
Benefits
What's in it for you
Annual salary range: $70,000 - $95,000 USD with on-target commission. Benefits include: 401k with matching up to 4%, medical/vision/dental insurance (100% premium paid for employee, 75% for dependents), company-paid life and disability insurance, FSA and HSA plans, equity options, 12 weeks paid parental leave, flexible PTO plus 15 paid company holidays, free financial counseling, $600 tech allowance, monthly $75 phone reimbursement, and $5,000 annual continuing educational allowance.
About
Inside Citrine Informatics
Citrine Informatics is committed to helping customers accelerate the development of sustainable products critical to the future of our planet and industry through materials informatics and AI/ML-driven workflows.