Full-Time

Customer Success Manager

FP&A

Datarails

Datarails

201-500 employees

Automates SMB FP&A via Excel-native cloud

Compensation Overview

$90k - $115k/yr

No H1B Sponsorship

Remote in USA

Remote

Bachelor's

Category
Customer Experience & Support (1)
Required Skills
Power BI
Data Analysis
Excel/Numbers/Sheets
Financial Modeling

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Requirements
  • At least 2 years of experience in customer success, consulting, or a similar customer-facing role, along with a background in data analytics, finance, or accounting.
  • Deep knowledge and solid experience with advanced Excel functions, including formulas, VLOOKUP, PivotTables, Power Query, and complex models.
  • Ability to create and manage business relationships with CFOs, vice presidents, directors of finance, and other customers; engage in professional conversations, manage expectations, and guide customers toward positive outcomes.
  • Comfort with upselling and renewal conversations.
  • Bachelor's degree or equivalent experience.
Responsibilities
  • Understand current client situations and help simplify models and existing data.
  • Create detailed business analyses outlining customer problems, opportunities, and solutions by advising on budgeting and forecasting, planning and monitoring, financial modeling, standard reporting, and related areas.
  • Manage, interpret, and validate customer-produced data while maintaining focus on improving customer-care quality.
  • Provide recommendations for process changes to optimize current procedures and maximize outcomes.
  • Build long-term strategic customer relationships, gather requirements, and follow through with necessary financial reporting support.

DataRails offers an AI-native FP&A platform called FinanceOS that automates and streamlines financial reporting for SMBs. It connects to 200+ data sources and uses cloud-based automation to consolidate data in real time while letting finance teams work with Excel-like spreadsheets. It differentiates itself with an Excel-native approach, real-time data consolidation from many sources, and an AI assistant called FP&A Genius that answers questions in natural language. Its goal is to speed up budgeting, forecasting, reporting, and other FP&A tasks so finance teams can focus more on strategic advisory work.

Company Size

201-500

Company Stage

Series C

Total Funding

$173.5M

Headquarters

New York City, New York

Founded

2015

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Simplify Jobs

Simplify's Take

What believers are saying

  • On January 21, 2026, Datarails raised $70 million from One Peak.
  • Datarails said 2025 revenue grew 70% and headcount exceeded 400 globally.
  • March 10, 2026 launches added FinanceOS, AI agents, and Spend Control for existing customers.

What critics are saying

  • Workday, Anaplan, and Microsoft Copilot target the same finance workflows by 2027.
  • Usage-based pricing makes Datarails vulnerable to volatile AI workloads and slower CFO procurement.
  • The FDFE model scales poorly; services-heavy growth caps margins and distracts product teams.

What makes Datarails unique

  • Excel-native FinanceOS keeps finance teams in familiar spreadsheets while automating consolidation.
  • FinanceOS uses MCP to connect Claude, ChatGPT, and Copilot to governed financial data.
  • Embedded Forward Deployed Financial Engineers turn Datarails into software-plus-services, not self-serve SaaS.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Health Savings Account/Flexible Spending Account

Unlimited Paid Time Off

Flexible Work Hours

Paid Holidays

Parental Leave

401(k) Retirement Plan

401(k) Company Match

Company Equity

Life Insurance

Wellness Program

Professional Certification Support

Growth & Insights and Company News

Headcount

6 month growth

4%

1 year growth

6%

2 year growth

6%
HIPTHER
Aug 5th, 2026
As AI demand outpaces skills, Datarails brings Forward Deployed Financial engineers into the CFO's Office.

As AI demand outpaces skills, Datarails brings Forward Deployed Financial engineers into the CFO's Office. Datarails, the AI-native financial operating system for the CFO's Office, today launched the AI Transformation Package, a service that embeds a dedicated Forward Deployed Financial Engineer (FDFE) inside a customer's finance team to build custom AI workflows directly in their Datarails FinanceOS environment. The launch follows a wave of forward deployed engineering (FDE) initiatives at companies like Microsoft and OpenAI, as tech giants invest billions to deploy technical talent inside customer organizations. Datarails is bringing that model to a function it says those efforts have largely skipped: the CFO's Office. The move is backed by recent research which found that nearly one in three finance jobs (31%) now requires AI skills, up from one in four a year ago - outpacing teams' ability to hire or build against that demand. Moreover, independent research from the Financial Education & Research Foundation (FERF) found that only 15% of organizations consider themselves well or fully prepared to support advanced analytics and AI initiatives. "You cannot parachute a generalist engineer into finance and expect trustworthy output, which is why we have seen vast demand in the market for finance engineers embedded inside of finance teams," said Didi Gurfinkel, CEO and co-founder of Datarails. "Our FDFEs have decades of experience on finance teams, which they now bring to bear as they work directly with customers to build bespoke solutions on top of the FinanceOS that underpins their AI efforts. This ensures that all outputs - from Claude, Gemini or ChatGPT - are accurate, governed, repeatable and auditable." The service is designed for teams with limited bandwidth but ambitious automation goals; organizations that want to fast-track AI adoption without requiring a lengthy and expensive IT project; and finance leaders who want to increase team output without adding headcount. Each engagement pairs a customer with an FDFE for 25 hours per quarter across a four-phase model - Discover, Build, Deploy, Evolve - designed to reach a live production workflow within the first quarter. The AI Transformation Package is now available to existing Datarails customers: https://lp.datarails.com/ai-implementation-services.

PR Newswire
Aug 5th, 2026
Datarails deploys finance engineers to CFO offices as 31% of finance jobs now require AI skills

Datarails has launched a forward deployed financial engineering service to help finance teams adopt AI technologies. The initiative pairs customers with experienced finance engineers for 25 hours per quarter to build automated workflows. The move addresses a growing skills gap. Research shows 31% of finance jobs now require AI capabilities, up from 25% a year ago. Meanwhile, only 15% of organisations feel prepared to support advanced analytics and AI initiatives, according to the Financial Education Research Foundation. Each engagement follows a four-phase model—Discover, Build, Deploy, Evolve—designed to deliver working solutions within the first quarter. The service targets finance teams seeking automation without extensive IT projects or additional headcount. The offering is currently available to existing Datarails customers who use the company's AI finance operating system.

MAJUNKE.com
Mar 12th, 2026
Datarails raises $70M Series C led by One Peak for AI-powered CFO platform

Datarails, an AI-powered financial planning and analysis platform for CFO offices, has raised $70 million in Series C funding, bringing total funding to $175 million. One Peak led the investment round. Code & Co. conducted comprehensive technical due diligence ahead of the investment, reviewing Datarails' product architecture, infrastructure, technology stack, security framework and AI-driven functionalities. The assessment also covered the company's product roadmap, third-party integrations, operational scalability, engineering organisation and compliance posture. Datarails provides a unified platform for FP&A, cash management, spend control and month-end close, consolidating financial and operational data. The platform allows users to work within Excel whilst delivering actionable business insights. One Peak is a growth equity firm with $4 billion in assets under management, focusing on technology companies in the scale-up phase.

Associated Press
Mar 10th, 2026
Datarails launches FinanceOS, declaring traditional FP&A software dead in AI era

Datarails has launched FinanceOS, an AI-ready financial operating system, whilst declaring traditional FP&A software obsolete. The platform consolidates financial and operational data from over 400 sources whilst maintaining audit trails, permissions and governance, allowing finance teams to use AI engines like Claude, ChatGPT and Microsoft Copilot for financial workflows. The system addresses a key barrier to AI adoption in finance: according to Gartner, AI adoption in finance functions has stalled at 59%, with data quality cited as the primary obstacle. FinanceOS provides real-time, auditable data infrastructure that maintains compliance with SOC 2 and GDPR standards. Available through usage-based pricing, FinanceOS can be operational within days. Datarails continues supporting its existing FP&A, Cash Management, Month-End Close and Spend Control products.

Business Wire
Mar 10th, 2026
Datarails declares traditional FP&A software dead, launches FinanceOS for AI-driven finance teams

Datarails has declared traditional FP&A software "dead", launching FinanceOS, an AI-ready financial operating system valued at $1.45 billion. The platform consolidates financial and operational data from over 400 sources whilst maintaining audit trails, permissions and governance, enabling finance teams to use AI tools like Claude, ChatGPT and Microsoft Copilot for financial workflows. The system addresses a key barrier to AI adoption in finance. According to Gartner, AI adoption in finance functions has stalled at 59% in 2025, with 91% reporting low impact due to data quality issues. FinanceOS provides real-time, auditable data infrastructure that remains connected to outputs, unlike static data fed into standalone AI tools. Available through usage-based pricing, FinanceOS can be operational within days and integrates with major systems including NetSuite, SAP, Salesforce and HubSpot.