---
title: 'Fractional Head of Finance at RevenueBase Inc'
canonical: 'https://feeny.ai/job/fractional-head-of-finance-revenuebase-inc-remote-0hy89xta2h4k'
type: 'job'
last_seen: '2026-10-19'
---

# Fractional Head of Finance at RevenueBase Inc

- **Company:** RevenueBase Inc
- **Location:** Remote
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-02-09
- **Last confirmed live:** 2026-10-19
- **Apply:** https://jobs.ashbyhq.com/revenuebase-inc/16a68ced-4e08-4370-bbbf-7ec4d3213c6e

## Job description

## About RevenueBase

We're building the data infrastructure that makes AI agents trustworthy instead of error-prone. We provide continuously refreshed, verified B2B data and tools for humans and autonomous AI agents. We've tripled growth while maintaining 100% gross dollar retention and staying cashflow positive. We power AI agents for Clay, Orbital, Dun & Bradstreet, and the next generation of AI GTM tools.

## About the Role

We're looking for a part-time (10-15 hours/week) fractional Head of Finance to own the entire finance function as we scale from $2.5M to $15M+ ARR. Today, the CEO manages finance directly—closing books with our outsourced bookkeeping service, reconciling data across Stripe, HubSpot, and QuickBooks, building investor reports, and tracking SaaS metrics manually. That's not sustainable at our growth rate. This person will be the strategic finance leader for the company. You'll direct our outsourced bookkeeping team (Pilot), partner with engineering on system integrations, build the reporting infrastructure investors and the board expect, and ensure our financial data is as trustworthy as the data we sell to customers. This is not a pure bookkeeping role. We need someone who can close the books AND build a cohort-based revenue model. Someone who understands why NDR matters more than top-line growth and can explain our unit economics to a Tier 1 VC.

## Why We're Hiring This Role

We have a complex revenue model—flat-rate data subscriptions, per-outcome verification credits, and hybrid contracts—flowing through Stripe, HubSpot, and QuickBooks with manual reconciliation in between. We need someone who can make the financial plumbing work automatically so the CEO can focus on customers and product. We're heading toward a Series A raise and need investor-grade financials, metrics, and modeling ready before we walk into those rooms.

## Your First 60 Days

Your first priority is fixing the financial plumbing. Within 60 days, we expect the data pipeline between Stripe, HubSpot, and QuickBooks to be audited, mapped, and either automated or on a clear path to automation. This means understanding every revenue stream—subscriptions, credits, hybrid contracts—and how each flows (or fails to flow) from billing to the general ledger. You'll partner with our developers on integration work and direct Pilot on proper GL coding. By day 60, the CEO should no longer be manually reconciling systems.

## What You'll Do

- Fix the Financial Data Pipeline — Audit and rebuild how data flows between Stripe (billing, subscriptions, credits), HubSpot (deals, pipeline, lifecycle stages), and QuickBooks (GL, reporting). Map every revenue stream end-to-end. Identify where data breaks, where manual workarounds exist, and work with developers to automate. This is job one.
- Build Internal Dashboards & Reporting — Create a reporting layer the entire team can rely on. SaaS metrics (ARR, NDR, GDR, ACV, CAC payback, LTV:CAC, burn multiple, gross margin by product line, cohort retention), sales funnel analytics (pipeline velocity, conversion rates by stage, deal cycle time, win/loss analysis, rep-level performance), and PLG funnel metrics (self-serve signups, activation rates, free-to-paid conversion, credit usage patterns, expansion triggers). Replace manual spreadsheets with dashboards the CEO can check anytime.
- Own Funnel Analysis — We run both a sales-led motion (channel partnerships, direct enterprise) and a growing PLG motion (self-serve portal, freemium credits). You'll build the reporting to track both funnels independently and understand where they intersect—which PLG users convert to sales-assisted deals, what usage patterns predict expansion, and where leads drop off. This analysis directly informs hiring, product, and go-to-market decisions.
- Own the Monthly Close — Direct Pilot (outsourced bookkeeping) on GL coding, journal entries, and reconciliations. Ensure books close cleanly and on time every month.
- Solve Revenue Recognition — Navigate the complexity of ASC 606 across our mixed model—annual subscriptions on flat-rate data feeds, pay-as-you-go outcome credits, and hybrid contracts with both components. Build the framework so this doesn't require CEO involvement each month.
- Build Strategic Models — Create and maintain rolling cash flow forecasts, annual budgets, and scenario plans. When the CEO asks "what happens if we hire 3 engineers vs. 2 sales reps?"—you have the answer in minutes, not days.
- Prepare for Series A — Build and maintain the financial model and data room. Prepare quarterly investor updates and board materials. Be the person who can walk a VC through our cohort data, unit economics, and margin structure with confidence.
- Manage the Basics — Oversee accounts receivable, accounts payable, cash management, GAAP-compliant financial statements, and tax compliance.

## Who You Are

- SaaS Finance Veteran — You've been the finance person (or one of the first) at a high-growth B2B SaaS or usage-based company. You know what a cohort report is, why it matters, and how to build one without being asked.
- Stripe-Native — You've worked hands-on with Stripe's billing infrastructure—not just invoicing, but products, pricing models, subscriptions, metered billing, and credit systems. You understand how Stripe data maps to accounting systems and where it breaks.
- Rev Rec Specialist — You've handled revenue recognition for mixed models (subscriptions + usage/outcome-based) and can navigate ASC 606 at our stage without overengineering it.
- Investor-Grade Thinker — You can build a financial model that holds up under VC scrutiny and explain unit economics clearly to sophisticated investors. You know what Bessemer, Sequoia, and a16z look for.
- Systems Builder — You're not content with manual reconciliation. You want to build the pipes so data flows cleanly and you can spend your time on analysis, not data entry.
- Startup Operator — You're comfortable with ambiguity, move fast, communicate directly, and don't need a big team to get things done. You know the difference between "good enough for now" and "needs to be right."

## Nice to Have

- Experience with Pilot or similar outsourced bookkeeping services
- HubSpot CRM experience (deals, pipeline reporting, revenue attribution)
- Background in B2B data, GTM tech, or infrastructure companies
- CPA or CFA designation
- Experience supporting a company through Series A fundraising and diligence

## Why RevenueBase

- High-impact ownership — You're not inheriting a finance team—you're building the function from scratch. Every process, report, and model you create will be foundational.
- Exceptional fundamentals — 99% data margins, breakeven cash flow, sub-1-month CAC payback, and a product that sells to competitors. The business is strong—your job is to instrument it.
- Inflection point — We're at the stage where the right finance leader materially accelerates the business—better data for fundraising, faster decisions on hiring, clearer visibility on what's working.
- Direct access — Report to the CEO and work directly with the founding team. No layers, no politics.

## About RevenueBase Inc

## Company Overview
- **One-liner**: RevenueBase builds B2B data infrastructure — a platform of continuously verified contacts and companies delivered through flat-rate feeds and per-outcome APIs, designed for GTM teams, AI agents, and embedded products.
- **Entity Type**: Private (Seed stage)
- **Headquarters**: Waltham, Massachusetts, USA
- **Founded**: May 1, 2021
- **Founders**: Mark J. Feldman, Milenko Beslic

## Core Business
- **Primary Industry**: B2B Data Infrastructure / Data as a Service
- **Target Customers**: GTM product companies (embedding data into their SaaS), enterprise sales & marketing teams, demand generation agencies, AI developers, and data providers.
- **Mission**: To build the foundational data layer for B2B go-to-market — verified, always-current, and designed for modern GTM programs, AI agents, and data-driven products. [revenuebase.ai](https://revenuebase.ai/company)

## Products & Services
- **Data Feeds**: Flat-rate, unlimited access to 390M+ continuously verified B2B contacts and 60M+ companies, delivered directly to Snowflake, S3, and cloud storage. Records are re-verified every 90 days (contacts) and 60 days (emails), with 30M+ daily verification signals.
- **Clean & Enrich APIs**: Per-outcome pricing for canonical ID matching, stale job updates, missing field fills (revenue, title), and email verification at 97%+ accuracy, including catch-all domain resolution.
- **Discover & Search APIs**: Natural language and semantic search (e.g., "car dealerships" instead of SIC codes) with per-outcome pricing.
- **Gigasheet (No-Code UI)**: A browser-based interface for teams that don't need technical integration, enabling data exploration and export without APIs.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed.
- **Total Funding**: Seed round closed on April 6, 2022. Amount not publicly disclosed. [crunchbase.com](https://www.crunchbase.com/organization/revenuebase)
- **Key Metric**: 390M+ contacts, 60M+ companies, 1B+ monthly verification signals processed.
- **Notable Customers/Partners**: ZoomInfo, Dun & Bradstreet, Clay, Wiza. [revenuebase.ai](https://revenuebase.ai/company)
- **Growth Signals**: 11 total employees (per Built In), actively hiring across engineering, customer engineering, and sales roles. Customer outcomes include bounce rates reduced from 30%+ to under 2% and $900K+ pipeline generated for individual accounts. [builtin.com](https://builtin.com/company/revenuebase)

## Competitive Advantages
- **Pricing Model**: Flat-rate feeds and per-outcome APIs (pay only for verified results) vs. the industry standard of per-credit metering. This removes friction and cost unpredictability, and aligns the vendor's incentive with data quality.
- **Data Provenance**: Every record carries a source and timestamp. Unlike most providers that blend data from unattributed sources (co-op models), RevenueBase builds from primary signals and provides full traceability.
- **Clean & Enrich First**: Before selling new data, the platform fixes existing CRM data through canonical ID matching, stale job updates, and email verification — a service most competitors avoid because there's no per-credit revenue in it.
- **Continuous Verification Loop**: 30M+ daily signals keep data fresh; contacts are re-verified every 90 days, emails every 60 days.

## Strategic Focus
- **AI-Native Infrastructure**: The company is positioning itself as the data layer for autonomous GTM systems and AI agents, which require unlimited, unmetered access to reason across entire datasets.
- **Developer-First Onboarding**: Self-service signup with 500 free API credits and masked data feeds (full schema, PII redacted) — no sales call required to start prototyping. [revenuebase.ai](https://revenuebase.ai/)
- **Embedded Data**: Serving GTM SaaS companies (like Clay and Orbital) that embed RevenueBase data into their own products, expanding reach beyond direct GTM teams.

## Why Work Here
- **Culture & Mission**: The team is building what they describe as "infrastructure for autonomous go-to-market," with a focus on solving a structural problem in B2B data (broken incentives from per-credit pricing). The founder, Mark Feldman, previously led product and marketing at NetProspex (acquired by Dun & Bradstreet for $125M), bringing deep domain experience. [revenuebase.ai](https://revenuebase.ai/company)
- **Remote-First with HQ**: The company is headquartered in Waltham, MA, but operates as a remote-first organization. Roles are listed as "Remote" or "In-Office or Remote," with the typical time on-site listed as "None." [builtin.com](https://builtin.com/company/revenuebase)
- **Engineering Focus**: The team is small (11 employees) and growing, with active roles for a Data Engineer, Full Stack Developer (Backend), and Customer Engineer. This suggests a hands-on, high-impact environment where engineers shape the core data infrastructure.
- **Notable Perks**: Startup pricing program for customers; internally, the small team size implies significant ownership and direct impact on product and architecture.

## Sources
1. [RevenueBase Official Website](https://revenuebase.ai/)
2. [RevenueBase Company Page](https://revenuebase.ai/company)
3. [RevenueBase Careers & Perks (Built In)](https://builtin.com/company/revenuebase)
4. [RevenueBase Crunchbase Profile](https://www.crunchbase.com/organization/revenuebase)
5. [RevenueBase LinkedIn](https://www.linkedin.com/company/revenue-base)

## Other roles at RevenueBase Inc

- [Customer Engineering Associate](https://feeny.ai/job/customer-engineering-associate-revenuebase-inc-remote-2zv3d5v6j1f3)
- [Customer Engineer](https://feeny.ai/job/customer-engineer-revenuebase-inc-waltham-gvvwmtnah5p8) — Waltham, MA
- [Full Stack Developer (Backend)](https://feeny.ai/job/full-stack-developer-backend-revenuebase-inc-delhi-jg7h14ww6txa) — Delhi, India
- [Data Engineer](https://feeny.ai/job/data-engineer-revenuebase-inc-remote-0zg2cd9gyp1b)
- [Account Executive](https://feeny.ai/job/account-executive-revenuebase-inc-united-states-tvcctnzg12zb) — United States