Revenue Strategy & Data Analytics Lead
The Revenue Strategy & Data Analytics Lead will own the data architecture and strategy for Tulip's revenue engine, utilizing AI and SQL to optimize pricing, retention, and expansion. This role involves hands-on modeling and cross-functional collaboration with commercial leadership to drive data-informed decision-making.
- Compensation
- $130K–$175K / yr
- Location
- Somerville, MA
- Work setup
- Hybrid
- Seniority
- Lead
- Employment
- Not specified
- Experience
- 10+ years
- Category
- Data analytics
- Posted
Skills
Must have
- 8-10+ years in Customer Success Ops, RevOps, or Strategic Analytics within a B2B SaaS environment
- Track record leading cross-functional system change across Salesforce or other commercial systems
- Experience using AI for commercial, such as predictive churn modeling, sentiment analysis, or AI-driven next best action recommendations
- Expert-level SQL and BI tooling
- Experience owning GTM metrics
- Bachelor's degree in a relevant field
Nice to have
- Usage-based or composable software experience
- Experience leading as a player coach in a RevOps or GTM context
- Experience mentoring or coaching junior analysts or ops talent
- MBA
Full description
This role is located in Somerville, MA - We are a hybrid work environment and are in the office 3+ days/per week.
Tulip 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.