Citrine Informatics

Research Engineer

• Write and maintain Python ML code
• Research, prototype, and develop new materials-aware ML models and features
• Collaborate closely with other engineers, frequently reviewing code and best practices
• Mentor other developers
• Design high-performance, scalable ML systems
• Test and analyze the impact and performance of models
• Work in a multifunctional team on features from concept to delivery
• Improve and maintain core Python libraries enabling machine learning for materials science problems at industrial scale
• Collaborate with the Product team to shape AI capabilities and support customer use cases
• Improve machine learning model interpretability and develop user communication tools
• Improve inverse design capabilities for complex materials synthesis parameter spaces
• Collaborate with the External Research and Development team to write and publish papers
• Develop new methods to quantify uncertainty in machine learning predictions

Data & Artificial Intelligence Research Engineer, L4

Business Operations

• Manage the Commercial Operations Team and own the performance of the commercial operations function
• Report to the COO
• Manage, develop, and grow the Commercial Operations Lead
• Own the health of revenue systems and CRM data
• Ensure sales compensation and commission calculations are accurate, timely, and clearly explained
• Own deal desk, including approval frameworks, discount guardrails, and order-form standards
• Own the forecast process, including cadence, inputs, model, and committed-number accuracy
• Build and maintain pipeline, conversion, and sales productivity analytics
• Run win/loss and churn analysis and translate findings into sales changes
• Design dashboards and metric definitions for leadership
• Analyze pricing, packaging, and discounting performance
• Build pricing and packaging models, including revenue and margin scenario analysis
• Partner with Sales, Product, and Finance on monetization changes
• Establish and steward discount governance
• Lead cross-functional growth initiatives from problem framing through implementation
• Support GTM planning, capacity modeling, quota setting, and goal architecture
• Identify commercial inefficiencies and drive process and tooling improvements
• Partner with the COO and CFO on board and investor reporting
• Own KPI definitions, data lineage, and reporting consistency
• Build executive narratives from business data
• Support financing and strategic-process diligence and reporting

Data & Artificial Intelligence Research Engineer, L4

Business Operations Manager