Revenue Ops Manager

FullEnrich started with a simple goal: build the best way to find the emails and phone numbers businesses need to reach the right people. Most enrichment tools rely on a single data source, which means patchy coverage and inconsistent quality. We took a different path: FullEnrich aggregates 20+ data providers into a single waterfall system, automatically querying each source until we find the best possible contact info. The result is the highest coverage on the market, with better data quality.

Since then, we've expanded beyond core enrichment into personal email for recruiters, reverse email lookup for inbound lead qualification, list building, and native CRM integrations that keep your source of truth clean and fresh. Today, FullEnrich is profitable, trusted by 3,500+ customers including AWS, Shopify, Deel, and HubSpot.

Why this role, why now

Until now, our data stack has been built and maintained by our CPO and RevOps alongside their primary responsibilities. We’ve built a strong and reliable foundation: a well-structured dbt project on BigQuery with clear conventions and automated testing, robust ETL and reverse ETL pipelines, product tracking flowing into the warehouse from day one, and self-serve dashboards in Basedash.

The stack is already in a very good state, you won’t be fixing chaos or starting from scratch. You’ll be able to build on top of a clean and well-designed foundation from day one.

This role sits between data infrastructure and business operations. You’ll start by owning the data layer end-to-end: making it even more robust, scalable, and actionable for the business. But the goal is not just to maintain the stack, it’s to turn it into a real leverage point for every team at FullEnrich (Sales, CS, Finance, Marketing).

As you ramp up and build a deep understanding of the business, you’ll progressively take on more advanced analyses and become a key partner in helping teams make better, faster decisions.

You’ll report directly to Simon (RevOps), who is actively working on the current data stack and will work closely with you from day one to help you prioritize, ramp up quickly, and expand your scope over time.

What You\'ll Do

Days 0–90 — Own the data layer

• Own and expand our dbt project: staging, intermediate, and mart layers, with clean conventions, automated testing, and documentation
• Build and maintain dashboards in Basedash that teams can use in self-service, no hand-holding required
• Manage ETL pipelines (Fivetran, Airbyte) and implement reverse ETL syncs (Segment) to push the right data into HubSpot, Intercom, and other operational tools
• Work AI-native: we write our entire dbt project in Cursor. You'll use AI as a multiplier to ship faster and model smarter!

Months 3–6 — Go deeper on the business

• Work on strategic projects & analyses with Simon: provider cost & margin, pricing economics, retention drivers, PLG funnel (signup-to-paid, activation by cohort, credit consumption)
• Develop the models that let us understand the business deeply: Healthscore, MRR cohorts, funnel conversion, activation scoring
• Support business teams with high-impact analytical requests: Sales, CS, Finance, and Product all need answers that live in the warehouse

Months 6–9 — Move closer to revenue decisions

• As you build strong business context, you’ll progressively get more exposure to revenue-related topics such as forecasting, planning, and performance analysis.
• The direction depends on where FullEnrich needs the most and where your strengths take you, but the expectation is clear: you become the go-to person for analytics within the RevOps team, turning data into decisions across every revenue function.

Who You Are

Experience & skills:

• 4+ years in RevOps, Business Ops, or top-tier consulting. You've already built and run (portions of) the RevOps scope. You're not looking to learn the role, you're looking for scope, ambiguity, and ownership.
• You’ve worked on end-to-end analyses for demanding stakeholders : from framing the problem and challenging assumptions, to building the right data models, delivering insights, and iterating based on feedback.
• Strong SQL : you're comfortable in BigQuery or equivalent
• Solid understanding of SaaS metrics: ARR, churn, activation, unit economics
• Builder mindset: you'd rather automate a recurring task than do it twice
• Comfortable with ambiguity, autonomous, and rigorous about data quality
• You already use AI tools (Cursor, Claude, or similar) to work faster
• Background in an engineering school (strong technical & analytical foundation) or background in finance (comfort with unit economics, forecasting, margin analysis)
• You've used or are curious about dbt, you understand data modeling best practices
• Hands-on with ETL/reverse ETL tools (Segment, Fivetran, Airbyte, or similar)

How We Work Together

At FullEnrich, we’re a high-ownership, entrepreneurial team with deep experience across sales, marketing, and tech.

We value:

• Rapid execution
• Clear, business-focused outcomes
• Autonomy and trust — you’ll fully own your scope and execute your vision

We collaborate closely, experiment fast, and stay relentlessly focused on impact. If you’re passionate about scaling smart, building meaningful systems, and having a huge impact early, you’ll love working here.

Hiring Process

We keep it fast, transparent, and human:

• First Call (45 min) with Simon — Quick mutual fit check
• Technical Case (1h) — A real-world data/ops problem. Show us how you think
• Final Interview with Founders — Culture and vision alignment