--- title: 'Revenue Strategy & Data Analytics Lead at Tulip Interfaces' canonical: 'https://feeny.ai/job/revenue-strategy-data-analytics-lead-tulip-interfaces-somerville-3z2nx3vjcrr5' type: 'job' last_seen: '2026-09-09' --- # Revenue Strategy & Data Analytics Lead at Tulip Interfaces - **Company:** Tulip Interfaces - **Location:** Somerville, MA - **Posted:** 2026-08-26 - **Last confirmed live:** 2026-09-09 - **Apply:** https://tulip.co/careers/job-posting/?gh_jid=7978082003 ## Job description This role is located in Somerville, MA - We are a hybrid work environment and are in the office 3+ days/per week. [Tulip](https://tulip.co/) 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? - 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 is a plus - 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 - 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 - 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 - Bachelor's degree in a relevant field required, MBA preferred Key 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 - Set renewal pricing strategy, services attach rate targets, and margin optimization in partnership with Sales and Services leadership - 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 Key Collaborators: - Executive Leadership Team - Head of Customer Success - Head of Professional Services - Finance - Commercial leadership - Go To Market Operations - Product Team Working At Tulip We know even great candidates experience imposter syndrome. Even if you don’t match every requirement, applying gives you the opportunity to be considered. We’re building a strong, diverse team that values hard work, families, and personal well-being. Benefits of working with us include: - 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 We are an equal opportunity employer. At Tulip, we celebrate all. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Help us build an inclusive community that will transform frontline operations. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range posted, actual compensation will be determined depending on multiple factors including job-related knowledge & skills, experience, business needs, geographical location, market compensation data, and internal equity. Expected compensation ranges for this role may change over time. The salary range for this position is $130,000 - $175,000 per year and is eligible for on-target earnings (OTE). It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Please note that we may use AI-based tools to support parts of our hiring process. All data processing is carried out in compliance with local data protection laws, ensuring all personal candidate information is handled securely and ethically. ## About Tulip Interfaces ## Company Overview - **One-liner**: Tulip provides a composable frontline operations platform that enables manufacturers in regulated industries to build AI‑enabled connected apps, guide operators, track production, and gain real‑time operational visibility. - **Entity Type**: Private (well‑funded, with $272.5 M in total funding) - **Headquarters**: Somerville, Massachusetts, United States - **Founded**: 2012 - **Founders**: Founded by a team of engineers from the MIT Media Lab (founder names not publicly disclosed) ## Core Business - **Primary industries**: Manufacturing operations software, with a focus on regulated industries such as pharmaceuticals, medical devices, and complex discrete manufacturing. - **Target customers**: B2B – mid‑market to enterprise manufacturers; operations teams on the front line (operators, quality, engineering). - **Mission**: To democratize technology and empower those closest to operations to solve problems, making people the most valuable resource in manufacturing. ## Products & Services - **Frontline Operations Platform**: A composable, no‑code/low‑code platform that lets teams build apps, automations, and AI agents for guiding workflows, capturing data, and connecting machines. Includes an app editor, player, governance & change management, analytics, computer vision, and automation capabilities. - **Connectors & Edge Connectivity**: Hundreds of pre‑built drivers and an open Connector Framework to integrate CNC machines, legacy equipment, ERPs, WMSs, and enterprise systems. An Edge Machine Kit provides on‑premise data collection and processing. - **AI & ML**: Native AI that understands the full operational context – documents, videos, edge data, tables – and supports natural‑language queries, auto‑translation, and human‑in‑the‑loop approvals. - **Professional Services**: From one‑week on‑site Jumpstarts to six‑week Proof of Value engagements, with dedicated solution engineers building MVPs alongside customer teams. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed - **Key Metrics**: Annual revenue of $145 M (LinkedIn estimate) | Total funding of $272.5 M - **Notable Investors**: C4 Ventures (Series A lead), DMG Mori Seiki (Series B lead); total of 8 funding rounds including seed and non‑equity assistance - **Growth Signals**: - 286 employees (+11.4 % YoY); operating in 15 countries (US, Hungary, Germany, UK, Singapore, Israel, Japan, France, etc.) - Recognized by Built In as a Top Workplace in Boston (2025) and named to the Deloitte Technology Fast 500 (2024, ranked 220th) - Growing engineering presence – 63 active job postings (+96.9 % YoY) ## Competitive Advantages - **Regulatory‑ready**: GxP‑compliant and FedRAMP Moderate equivalent, enabling use in heavily regulated environments. - **Composable platform**: Allows rapid creation and iteration of apps without custom coding; scales from single site to global enterprise with role‑based permissions and audit trails. - **Deep connectivity**: Open Connector Framework with hundreds of drivers for industrial and enterprise systems; edge computing for real‑time data collection. - **AI native**: AI agents that operate on the full context of the operation, with built‑in governance and human‑in‑the‑loop controls. - **MIT Media Lab roots**: Ten years of research in frontline operations, IoT, machine vision, and human‑computer interaction. ## Strategic Focus - Expanding global presence and partner ecosystem (ecosystem engineers, pre‑built connectors). - Deepening AI and agentic capabilities to further automate decision‑making on the front line. - Strengthening governance and compliance to serve larger, multi‑site enterprise customers. - Continuing to build a “Center of Excellence” culture that enables customers to scale independently. ## Why Work Here - **Culture**: Described as a team of “builders, hackers, dreamers, creatives, and rebels” with a strong mission to transform manufacturing. Operating principles emphasize impact, iteration, and people first. - **Work model**: Flexible – remote, hybrid, and onsite options available across offices in Somerville (HQ), Budapest, Munich, Tokyo, Tel Aviv, Singapore, and remote in the US and UK. - **Perks & benefits**: Unlimited vacation, competitive healthcare (medical, dental, vision), commuter benefits, work‑from‑home stipend, fitness subsidies, parental leave, 401K, and life insurance. - **Engineering culture**: Cross‑functional teams (Apps, Edge, Connectivity, Data, MLG, QA, Accounts, TechOps, Product) that work closely with IIoT, AI/ML, and manufacturing experts. Employees have direct impact on product and users. - **Recognition**: Multiple Top Workplace awards (Boston Globe, Built In) and strong employee‑led communities (Parents@Tulip, Hey Lady, Allies@Tulip). ## Sources 1. [tulip.co](https://tulip.co/) 2. [tulip.co/about-us](https://tulip.co/about-us/) 3. [tulip.co/_careers](https://tulip.co/_careers/) 4. [tulip.co/eng](https://tulip.co/eng/) 5. [linkedin.com/company/tulip-interfaces](https://www.linkedin.com/company/tulip-interfaces) ## Other roles at Tulip Interfaces - [Solutions Engineer - EMEA](https://feeny.ai/job/solutions-engineer-emea-tulip-interfaces-budapest-za38g9s7e2ks) — Budapest, Hungary - [Solutions Engineer - EMEA](https://feeny.ai/job/solutions-engineer-emea-tulip-interfaces-munich-s3vmyqymqys8) — Munich, Germany - [Senior Content Marketing Manager](https://feeny.ai/job/senior-content-marketing-manager-tulip-interfaces-somerville-5j9jb6tfcd4w) — Somerville, MA - [Manufacturing Solutions Engineer](https://feeny.ai/job/manufacturing-solutions-engineer-tulip-interfaces-japan-1wqgxh26j1yb) — Japan - [Senior Revenue Operations Manager, Sales](https://feeny.ai/job/senior-revenue-operations-manager-sales-tulip-interfaces-somerville-3cvpxf90frvn) — Somerville, MA - [Revenue Operations Engineer](https://feeny.ai/job/revenue-operations-engineer-tulip-interfaces-somerville-gty7a0v6v4aw) — Somerville, MA - [GTM Systems Engineer](https://feeny.ai/job/gtm-systems-engineer-tulip-interfaces-somerville-13mpacygpv25) — Somerville, MA - [Developer Experience Engineer](https://feeny.ai/job/developer-experience-engineer-tulip-interfaces-somerville-3tqs322wr5aa) — Somerville, MA - [Full-Stack Software Engineer](https://feeny.ai/job/full-stack-software-engineer-tulip-interfaces-somerville-6zxs860vng8n) — Somerville, MA - [Customer Success Manager, General Manufacturing](https://feeny.ai/job/customer-success-manager-general-manufacturing-tulip-interfaces-munich-zbza6snb4w6p) — Munich, Germany