Revenue Strategy & Data Analytics Lead

About the role

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. 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. The role is based in Somerville, MA.

Responsibilities

• Define and execute the strategy/roadmap for how AI and data power retention and expansion across Customer Success, Professional Services, and Support
• Build and continuously improve the models that identify at-risk accounts and cross-sell or upsell opportunities using usage, support, and engagement data
• Architect Tulip's Health Score metrics and the underlying data foundation that powers automated Customer Success playbooks
• Own the retention narrative for executive and board level audiences, translating real-time NRR and GRR metrics into a clear story and recommended actions
• Mentor and upskill the GTM team plus cross-functional commercial partners directly on how to use the data

Requirements

• 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)
• 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
• 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
• Expert-level SQL and BI tooling, with experience joining product usage data to CRM data at scale
• Experience owning GTM metrics; experience mentoring or coaching junior analysts or ops talent is a plus

Qualifications

• Bachelor's degree in a relevant field required, MBA preferred

Skills

• 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

Benefits

Direct impact on product and culture
Company equity
Competitive benefits package including Health, Dental, Vision, Short-term Disability, Long-term Disability, Life Insurance, AD&D Insurance, Flexible Spending Account (FSA), Commuter Benefits, Parental Leave, and 401(K)
Flexible work schedule and unlimited vacation policy
Learning & Development program
Virtual company events and happy hours
Fitness subsidies
An inclusive, dog-friendly office with diverse and inspiring colleagues

Pay

The salary range for this position is $130,000 - $175,000 per year and is eligible for on-target earnings (OTE).

Schedule

Hybrid work environment, in-office 3+ days per week.