Revenue Operations Lead (GTM Engineer)

Company Overview:

We are building Protege to solve the biggest unmet need in AI — getting access to the right training data. The process today is time intensive, incredibly expensive, and often ends in failure. The Protege platform facilitates the secure, efficient, and privacy-centric exchange of AI training data.

Solving AI’s data problem is a generational opportunity. We’re backed by world-class investors and already powering partnerships with some of the most ambitious teams in AI. The company that succeeds will be one of the largest in AI — and in tech.

We’re a lean, fast-moving, high-trust team of builders who are obsessed with velocity and impact. Our culture is built for people who thrive on ambiguity, own outcomes, and want to shape the future of data and AI.

Role Overview

Protege has implemented Salesforce as the foundation of a unified revenue system across Marketing, Sales, Partnerships, and Customer Success, and continues to add and phase in new tools and expand that buildout to support the teams as they scale.

We're hiring a Revenue Operations Lead — part revenue operator, part GTM engineer — to own Salesforce architecture, revenue process design, pipeline governance, forecasting infrastructure, performance measurement, attribution, and data integrity across the full funnel, while also building the automation and integrations that connect the GTM stack: Salesforce, marketing automation, the event registration platforms, community platforms, web traffic, outbounding, and sales engagement tooling.

Reporting directly to the Head of GTM Operations, this role is the hands-on execution partner to that function — taking on the day-to-day systems and process work, translating GTM strategy into scalable systems, structured processes, and reliable revenue visibility.

This is a senior individual contributor role, and it's meant to stay hands-on: this person is a builder and a doer first, comfortable being in the weeds of Salesforce configuration and workflow automation, not just directing others to build it. It requires both deep, real Salesforce expertise and fluency with modern GTM tooling — automation platforms, APIs, and AI-enabled tools — since a meaningful part of the role is engineering the connective tissue between systems, not just administering one of them.

Key Responsibilities

CRM / Systems Ownership

• Own Salesforce architecture, configuration, and long-term scalability

• Lead ongoing phases of Salesforce buildout and manage relationships with implementation and systems partners as new capabilities are added

• Establish structured change management and system governance

• Evaluate, phase in, and integrate new GTM systems that support revenue operations as the stack grows — including the event/registration platform, the researcher community platform, and sales engagement tooling (Unify)

GTM Engineering & Automation

• Build and maintain the automations and integrations that connect systems across the GTM stack, rather than relying on manual handoffs between tools

• Use APIs, workflow automation platforms, and light scripting where native, declarative configuration isn't enough

• Evaluate and pilot AI-enabled tools that improve GTM efficiency — lead scoring, data enrichment, forecasting support — and bring the ones that work into the core stack

• Build durable systems designed to scale, not one-off fixes that create technical debt

• Maintain data integrity and enforce required-field discipline

• Prevent system sprawl and unnecessary customization as new tools are phased in

• Establish documentation standards and clear ownership of system changes

• Ensure Salesforce operates as the single system of record

• Own the GTM data model, SQL/warehouse or BI layer, metric definitions, cohort analysis, funnel velocity, and executive reporting.

Revenue Process Design

• Define and operationalize qualification criteria and opportunity stage definitions

• Design lifecycle processes spanning Marketing → Sales → Expansion, including multi-source lead handoff (event, researcher community, BDR, inbound), each with its own defined SLA

• Standardize opportunity structure, pricing inputs, and partner attribution tracking

• Ensure opportunity records accurately capture key economic inputs to support revenue and margin visibility

Forecasting & Pipeline Management

• Design and maintain forecasting frameworks in partnership with the Head of GTM Operations

• Establish and enforce pipeline standards and inspection cadence

• Monitor stage progression, conversion rates, deal aging, and close probability integrity

• Improve visibility into revenue realization assumptions and deal-level economics during forecasting

• Identify structural bottlenecks impacting close rates and forecast reliability

Reporting & KPI Measurement

• Standardize core revenue KPI definitions across functions

• Build and maintain dashboards for funnel conversion, revenue performance, and operational metrics,…