United States · Remote
Full-time
Mid level
5 hours ago
Apply link not verified recently — we re-check every 2 hours
$110k – $160k
About Citrine Informatics At Citrine, we’re using Artificial Intelligence (AI) to enable our customers to usher in the next generation of sustainable, high-performing materials and chemicals. Our customers love what we do: “We understand our own laboratory more than before. It’s fun to work in this way.” We’re the leader in AI for materials and chemicals. 10 of the top 20 chemical companies have trusted us as their AI provider and we have created more than $100 Million dollars in value for our customers to date. Our no-code SaaS platform empowers product developers to accelerate their work using chemically-aware data management and AI tools. Citrine regularly wins awards for innovation and sustainability, earning spots on the CB Insights AI 100 list and the Inc. 5000 list of fastest-growing private companies in the US. Our customers include leading organizations such as LyondellBasell, Evonik, Grace, Avery Dennison, and Syensqo. We also collaborate with researchers from world-renowned institutions on cutting-edge research at the intersection of AI and the physical sciences. Our team is exceptional, eager to grow and learn from each other. Team members work remotely throughout North America and Europe driven by our sustainability mission. We’re growing quickly, and looking for the best to join us! About the Role Citrine is hiring a Manager, Business Operations Level 3 to report to our COO. You will manage our Commercial Operations Team, which is responsible for our commercial team tech stack, commission planning, and deal desk. You will own the performance of that function. You will also lead high-impact analytical work behind our growth – taking on the questions leadership needs answered, doing the analysis, and driving the resulting initiatives through to an outcome. Responsibilities Lead the commercial operations function Manage, develop, and grow our Commercial Operations Lead — setting priorities, raising the bar on execution quality, and creating room for them to take on more Own the health of our revenue systems and the data inside them; make our CRM a source of truth the sales team actually trusts Ensure sales compensation and commission calculations are accurate, on time, and clearly explained to the reps they affect Own deal desk as a capability, not a queue: build the approval frameworks, discount guardrails, and order-form standards that let deals move quickly without creating downstream problems Pipeline and forecast analytics Own the forecast process end to end — the cadence, the inputs, the model, and the accuracy of the number we commit to Build and maintain pipeline, conversion, and sales productivity analytics; find where the funnel actually leaks and quantify what fixing it is worth Run rigorous win/loss and churn analysis, and turn the findings into changes in how we sell Design the dashboards and metric definitions that let the leadership team see the business without asking for a pull Pricing and packaging Analyze pricing, packaging, and discounting performance across our customer base; surface where we are leaving value on the table and where we are creating friction Build the models that support pricing and packaging decisions, including scenario analysis on revenue and margin impact Partner with Sales, Product, and Finance to design and test changes to how we monetize the platform Establish and steward discount governance so pricing integrity holds as we scale Growth initiatives Lead cross-functional, growth-focused initiatives from problem framing through to implemented outcome — segmentation and ICP definition, territory and coverage design, expansion and land-and-expand motions, funnel experiments Bring structure to ambiguous strategic questions: scope the problem, source the data, form a defensible recommendation, and get buy-in to act on it Support annual and quarterly GTM planning, including capacity modeling, quota setting, and goal architecture Identify operational inefficiencies across the comm
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