Materialize is the context engine for AI agents and applications. It lets engineering teams use SQL to transform siloed operational data into up-to-the-second, trustworthy views into any element of their business. Use Materialize to deliver fresh context to AI agents, power data-intensive UIs, and create low-latency, event-driven architectures that drive microservices and core business processes. Materialize is trusted by General Mills, Bilt Rewards, and Crane Worldwide Logistics to solve their most pressing operational data challenges while building a live data foundation for their AI transformation.
Our team spans the US (with a NYC headquarters), Canada, and EMEA.
Kleiner Perkins, Redpoint Ventures and Lightspeed Venture Partners.
As a Revenue Operations Senior Manager, you lead an AI-native, high-impact revenue operations function at Materialize, partnering with GTM and Finance to maximize growth by setting strategy, targets, reporting, and running the systems and processes that power a predictable revenue engine. You report to the VP of Finance & Operations and work closely with our Head of Sales and CEO.
You operate as both a strategic leader and a hands-on operator: comfortable setting direction and driving a roadmap, while also rolling up your sleeves to build dashboards, fix processes, or troubleshoot systems yourself when that's the fastest path forward. For strong performers, this role offers a clear path to running the Revenue Operations department as a future Head of Revenue Operations.
You'll help shape how Materialize scales its revenue engine at a pivotal moment, contributing directly to the growth of a company building core data infrastructure for the AI era.
Our Revenue Operations Senior Managers are based in our NYC office near Astor Place, with an expectation of at least 3 days per week in person.
Own the strategy, architecture, and outcomes of our AI-native GTM systems, including lead routing, MQL/SQL definitions, and data quality standards, leading the team responsible for day-to-day systems execution and identifying opportunities to streamline workflows and introduce AI-driven best practices
Drive prioritization and roadmap decisions, partnering closely with GTM Systems, RevOps ICs, and external resources to execute
Build, manage, and grow a scalable, efficient, and AI-native team through part-time and full-time resources as the function scales, including vendor management and ROI analysis for key GTM tools such as Salesforce, HubSpot, Clay, and Apollo
Design, maintain, and continuously improve granular metrics, dashboards, and funnel reporting that support monthly business reviews, board meetings, and evolving targeting as the team learns
Own deal desk execution, partnering with AEs to maximize ARR and optimize deal structure while balancing legal, finance, and accounting considerations; build automated processes for order forms, proposals, and discounting frameworks, and align with Product and Finance on pricing and SKU definitions
Lead forecasting processes, partnering with the Head of Sales, CEO, and VP of Finance & Operations to monitor pipeline health, deal status, and expected close timelines, including running the weekly forecast meeting
Own annual and mid-year GTM planning in partnership with Finance and Sales, including capacity modeling, sales target setting, and territory and account assignment
Partner with sales leadership to refine ICPs, target account strategies, and industry focus areas
Own compensation and commissions design and administration
Partner with Sales and Marketing on sales enablement and onboarding, building documentation and materials that help reps ramp quickly
4+ years of experience in Revenue Operations, Sales Operations, or GTM Strategy roles at high-growth B2B companies
Experience in a top-down enterprise sales motion selling to senior executives
Proven experience managing Salesforce, HubSpot, Clay, LinkedIn Sales Navigator, Gong, Outreach, Chili Piper, Apollo, or similar GTM systems
Prior work with automated, AI-native RevOps organizations and GTM automation tools (e.g., Clay)
Strong analytical and systems-thinking mindset
A builder's mentality, excited to scale processes, systems, and teams in a high-growth environment
Hands-on with financial modeling; comfortable building and maintaining revenue, capacity, and quota models that inform planning and forecasting
Comfort partnering with sales leadership and the broader sales team
Excellent written and verbal communication, with the ability to translate complexity into clarity for executives
Experience using SQL for data analysis is a plus
Experience with our specific tech stack is a plus
Experience in infrastructure, data, or developer-focused software companies is a plus
Exposure to marketplace, co-sell, or partner-driven motions is a plus
Location: NYC (hybrid, minimum 3 days/week in HQ)
Base Salary: $140,000-$175,000/year plus additional variable bonus and equity in addition to a full range of medical, financial, and/or other benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.
The salary range provided in this job description should not be considered a guarantee or commitment. The actual compensation offered may vary based on individual qualifications objectively assessed during the application and interview process, including but not limited to the candidate’s:
Qualifications and relevant work experience
Educational background and credentials
Relevant skills and certifications
Geographic location
Market demands
Materialize reserves the right to adjust the salary range based on the candidate's specific circumstances and the overall compensation package.
We understand it takes a diverse team of highly intelligent, passionate, curious, and creative people to develop the exceptional product we are building. Our dynamic team has incredible perspectives to share, just as we know you do, and we take great pride in being an equal opportunity employer.
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Materialize is a streaming SQL platform that enables teams to create real-time materialized views of business data. It helps organizations build low-latency, event-driven applications and power AI agents and data-intensive UIs with continuously updated insights.
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