This role is located in Somerville, MA - We are a hybrid work environment and are in the office 3+ days/per week. <a href="https://tulip.co/">Tulip</a> brings modern technology and AI into manufacturing. Manufacturing accounts for almost 20% of the global economy and one in every seven workers on Earth, yet remains among the least digitized. More than a decade ago, we created the category to close that gap: AI-native software that puts cutting-edge tools directly in the hands of the people on the manufacturing front lines. Because we are human-centered and tech-obsessed, we are building a future of work where human ingenuity is amplified with the latest technology. In January 2026 we became one of Boston's few new AI unicorns, reaching a $1.3B valuation. We're growing double digits in revenue year over year. The world's best manufacturers run on Tulip - turning inventory 10x faster, releasing gene therapies in hours instead of weeks, and training master craftspeople to forge engagement rings 5x more rapidly. Headquartered in Somerville, MA with offices in Germany, Hungary, Singapore, Japan, and Israel, we've been consistently named a World Economic Forum Global Innovator, a Gartner leader, and one of Built In Boston's "Best Places to Work." We run the way we build: AI-forward, humanistic, and high ownership. We're looking for builders who are energized by complex problems, rapid cycles, and the unique opportunity to see their impact on a global scale.

The Role: This role owns the data architecture and the strategy behind Tulip's revenue engine, using data and AI so we go after the right accounts, price them correctly, run an efficient process to win them, and then keep and grow them. You will set the roadmap while staying hands on with the models, schemas, and dashboards that make it real, and you will own how that work reaches the executive team and commercial leadership, translating market sizing, pricing simulations, conversion analysis, and GRR/NRR trends into decisions leadership can act on. You will be in SQL and in the room where the number gets decided, sitting close to the commercial org in forecast calls, deal reviews, and renewal conversations alongside Account Executives, Customer Success Managers, and their leaders, because the analysis only lands if the people carrying the number trust it and use it. About You: You have built revenue data architecture before, and you built it yourself, thinking in systems and turning messy CRM, usage, support, and engagement data into models that people trust enough to set quota, pricing, and renewal strategy on. You are comfortable being the person who says a number is wrong and can show why, just as comfortable rewriting it into a story an executive can act on in one slide, and you coach the people around you, whether that is an analyst building the next model or a Customer Success leader learning to read a health score, because scale comes from people as much as from systems. What skills do I need? <ul> <li>8-10+ years in Customer Success Ops, RevOps, or Strategic Analytics within a B2B SaaS environment (usage-based or composable software experience is a plus).</li> <li>Experience leading as a player coach in a RevOps or GTM context, balancing hands on ownership of systems and process with mentoring and growing team members is a plus</li> <li>Track record leading cross-functional system change across Salesforce or other commercial systems (segmentation, territory and quota models, forecast hygiene, Customer Health Scores, churn coding, renewal workflows etc.) with direct influence on VP and C-suite decisions</li> <li>Experience using AI for commercial, such as predictive churn modeling, sentiment analysis, or AI-driven "next best action" recommendations, including evaluating build versus buy tradeoffs</li> <li>Expert-level SQL and BI tooling, with experience joining product usage data to CRM data at scale</li> <li>Experience owning GTM metrics; experience mentoring or coaching junior analysts or ops talent is a plus</li> <li>Bachelor's degree in a relevant field required, MBA preferred</li> </ul> Key

Tulip Interfaces is a manufacturing technology company that develops a frontline operations platform designed to help manufacturers digitize, connect, and continuously improve production processes. The company provides a no-code, AI-powered platform that enables organizations to build applications, automate workflows, collect operational data, and connect workers, machines, and enterprise systems within a unified environment. Its technology is used by manufacturers in industries such as Pharmaceuticals, Medical Devices, Aerospace, Defense, and Industrial Manufacturing to replace paper-based processes and legacy operational systems with more flexible digital solutions. The platform allows frontline teams to create and deploy applications without extensive software development resources, supporting use cases such as work instructions, production tracking, quality management, equipment monitoring, electronic batch records, traceability, and compliance management. Tulip combines no-code application development with machine connectivity, analytics, and workflow automation, enabling manufacturers to adapt operational processes as requirements evolve.

Tulip also provides connectivity tools that integrate data from machines, sensors, industrial equipment, ERP systems, and other enterprise applications. By serving as an operational data hub, the platform helps organizations gain real-time visibility into production activities, automate data collection, and generate insights that support process optimization and decision-making.

Revenue Strategy & Data Analytics Lead

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