Director of Revenue Operations

present of AI; New York (NY); Remoto; USD 180.000 - 240.000; Tempo integral

Resumo da vaga

present of AI in New York City seeks a Senior Revenue Operations Leader to own the entire revenue engine, including planning, forecasting, sales systems and data, deal desk, and compensation design. You will report to leadership and the board, and lead a hands-on, high-growth team.

The ideal candidate has 10+ years in revenue or sales operations at B2B software, with deep Salesforce and CPQ expertise, and a track record of turning data into strategic decisions.

Qualificações

• A decade or more in revenue or sales operations at high-growth B2B software.
• Led teams for several years in revenue/sales operations.
• Hands-on with Salesforce, CPQ, and forecasting tools.

Responsabilidades

• Own the entire revenue operations engine: planning and forecasting, sales systems and data, deal desk, compensation design.
• Provide reporting to leadership and the board.
• Collaborate with finance and sales leadership to optimize pipeline and quota attainment.

Conhecimentos

Leadership

Revenue operations

Data analysis

Forecasting

Strategic planning

Ferramentas

Salesforce

CPQ

Forecasting tools

Descrição da vaga

Sales New York City Remote FullTime Senior level

The role owns the whole revenue operations engine for a fast growing software company: planning and forecasting, sales systems and data, deal desk, compensation design, and reporting to leadership and the board. A strong candidate has a decade or more in revenue or sales operations at high growth B2B software, has led teams for several years, and is deeply hands on with Salesforce, CPQ, and forecasting tools. Financial modeling and the ability to defend capacity and quota plans in front of executives matter as much as building a team.

How it fits the AI era

The company sells automation for finance work, so the operations function is expected to run at that same standard, with clean data and fast reporting rather than manual spreadsheets. AI tools can speed up forecasting, pipeline analysis, and reporting, which shifts the job toward judgment: setting standards, checking data quality, and turning numbers into decisions leaders trust. The human parts stay central, including territory and compensation design, deal desk negotiation, and building credibility with sales teams and executives.

How it builds AI experience

Working here means learning how an AI native finance platform is sold and how its own go to market runs on automated reporting and forecasting. A candidate can build this by getting hands on with CRM and revenue intelligence tools, practicing forecast modeling, and understanding how finance buyers evaluate automation. Experience with finance buyers or ERP and fintech settings helps, though the posting treats it as a plus rather than a requirement.

Worth showing

• Salesforce and CPQ depth
• Forecasting and capacity modeling
• Comp and territory design

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Rillet

An AI-native ERP and general ledger that automates bookkeeping and month-end close, built to replace NetSuite for fast-growing companies.