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.
Investors:Kleiner Perkins, Redpoint Ventures and Lightspeed Venture Partners.
Materialize is entering its next phase of growth, and we’re hiring a Head of Revenue Operations to own and scale the function as our go-to-market organization continues to expand. With strong foundations already in place, this role will focus on elevating how we plan, measure, and execute revenue across the business.You’ll partner closely with Sales, Marketing, Finance, and executive leadership to set strategy, targets, and reporting that drive predictable, efficient growth. This includes owning forecasting and performance management, evolving our revenue systems and processes, and building a high-performing RevOps team that enables our GTM leaders to operate with clarity and confidence. This is a highly visible leadership role with broad scope and real influence. 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.
This role is based in our NYC office near Astor Place, with an expectation of at least 3 days per week in person.
Responsibilities:- Lead annual and mid-year GTM planning, including capacity modeling, sales targets, and board plans.
- Own compensation and commissions design and territories.
- Lead forecasting and maintain deep visibility into deal status and pipeline health.
- Conduct thoughtful analyses that surface strategic insights for monthly business reviews with the executive team. Design and maintain metrics, dashboards, and funnel reporting.
- Partner with sales and marketing leadership to refine ICPs, target account strategies, and coordinate execution of plays, campaigns, and co-sell/marketplace initiatives.
- Design and implement AI-enabled sales processes for outbound, reporting, and pipeline management that drive high-performing behaviors and outcomes.
- Own the strategy, architecture, and outcomes of our GTM systems (including both sales and marketing systems), setting direction, driving prioritization, and leading the team responsible for execution. Introduce AI-native best practices.
- Own deal desk, partnering with AEs to maximize ARR and close probability while balancing legal, finance, and accounting considerations. Build automated and AI-enabled processes for deal structuring, order forms, proposals, and discounting frameworks.
- Partner with Sales, Product, and Marketing to drive effective sales enablement and rapid ramp times.
- Build, manage, and grow a scalable, AI-native team.
- 8+ years of experience in Revenue Operations, Sales Operations, or GTM Strategy roles at high-growth B2B companies.
- Experience in a top-down enterprise software sales motion selling to senior executives at larger enterprises.
- Proven experience managing people and growing teams.
- Impeccable written and verbal communication, with the ability to translate complexity into clarity for executives.
- Proven track record implementing and overseeing teams running Salesforce, HubSpot, Clay, LinkedIn Sales Navigator, Gong, Outreach, Chili Piper, Apollo, and similar GTM systems. You've been hands-on with these platforms, and you know what good looks like for AI-native GTM systems.
- Strong analytical and systems-thinking mindset combined with proven experience working effectively with sales teams.
- Hands on with financial modeling. You can build integrated top-line revenue models that connect sales and marketing capacity, headcount planning, quotas, and revenue targets to inform strategic planning.
- A player-coach with a builder's mentality. You're as comfortable building a dashboard or fixing a workflow yourself as you are setting strategy and leading the team in a high-growth environment.
- Experience with our specific tech stack (mentioned above) is a plus.
- Experience in infrastructure, data, database or developer-focused software companies is a plus.
- Experience with data analysis using SQL is a plus.
Location: NYC (hybrid, minimum 3 days/week in HQ)
Base Salary: $170,00 - 215,000 USD/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.
Top Skills
Materialize New York, New York, USA Office
New York, NY, United States
Similar Jobs
What you need to know about the NYC Tech Scene
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory


