---
title: 'Senior Software Engineer, AI Builder (Python) at Datarails'
canonical: 'https://feeny.ai/job/senior-software-engineer-ai-builder-python-datarails-tel-aviv-yafo-ny84d0fqfypp'
type: 'job'
last_seen: '2026-09-21'
---

# Senior Software Engineer, AI Builder (Python) at Datarails

- **Company:** Datarails
- **Location:** Tel Aviv-Yafo, Israel
- **Posted:** 2026-09-16
- **Last confirmed live:** 2026-09-21
- **Apply:** https://job-boards.greenhouse.io/datarails/jobs/4407952009

## Job description

## About Datarails

Datarails is a cloud-based financial planning and analysis (FP&A) platform designed for SMBs, transforming manual monthly and quarterly reporting into automated, scalable processes.

Our solution connects to organizational systems such as ERP, CRM, HRIS, and complex Excel files, consolidating data into a single cloud-based platform. Datarails automates critical financial processes including FX conversions, eliminations, hierarchies, financial adjustments, and more, while allowing end-users to continue working in Excel as they always have.

Serving primarily the US market, Datarails is experiencing strong and sustained growth. This is an exciting opportunity to help build a cutting-edge SaaS product at scale and shape how we build and deliver software in an AI-native way.

## The Role

We’re looking for a senior engineer who is ready to move beyond traditional software development and take full ownership of product delivery.

This is not a classic backend engineering role. You will work directly with Product to turn ideas and requirements into production-ready solutions, make the technical decisions, and use AI coding agents as a core part of your engineering workflow.

You will own the outcome, not just the code. AI-generated code is your code, and you are accountable for its quality, security, performance, and maintainability.

What makes this role different

- End-to-end ownership: Own features from requirements and technical design through implementation, testing, deployment, and production monitoring.
- AI-native development: Use AI coding agents as a core part of your daily workflow across development, testing, debugging, documentation, and automation.
- Engineering judgment: Review, challenge, and validate AI-generated solutions, making sure what gets shipped is correct, secure, scalable, and maintainable.
- Product partnership: Product owns the what, you own the how. Work closely with Product to understand the problem, challenge assumptions, evaluate trade-offs, and find pragmatic technical solutions.
- Broad technical ownership: Strong software engineering fundamentals and solid understanding of architecture and design principles. Python and Django will be the primary technologies, but you will take responsibility for whatever is required to deliver a feature, including frontend, QA, automation, infrastructure, and integrations
- Outcome focused: Success is measured by the quality and impact of what you ship, not by the amount of code you write.

## What you’ll do

- Own product features end-to-end, from requirements through production and monitoring.
- Work with Product to translate business problems into clear technical solutions and execution plans.
- Design scalable and maintainable solutions, including architecture, APIs, data models, and integrations.
- Use AI coding agents to accelerate implementation, testing, debugging, and automation.
- Review and improve AI-generated code, ensuring high standards for correctness, security, performance, and maintainability.
- Make independent technical decisions and communicate architectural trade-offs clearly.
- Contribute across backend, frontend, QA, CI/CD, and infrastructure when needed to deliver a feature.
- Investigate and solve complex production and performance issues.
- Continuously improve how we build, test, and ship software using AI-native development practices.

## About you

Must have

- BSc in Computer Science or equivalent experience.
- 7+ years of experience building and shipping production software, with a strong track record of owning features or systems end-to-end.
- Strong system design fundamentals and experience building scalable SaaS systems in the cloud.
- Ability to make sound architectural decisions independently and understand technical trade-offs.
- Solid understanding of REST APIs, asynchronous programming, distributed systems, microservices, and testing.
- Hands-on experience with AI coding tools such as Claude Code, Cursor, Codex, GitHub Copilot, or similar.
- Strong ability to review, challenge, and improve AI-generated code rather than relying on it blindly.
- Strong product mindset, with the ability to balance technical and business priorities and focus on solving the underlying problem.
- Strong ownership mentality and ability to drive work independently from idea to production.
- Excellent communication skills and high proficiency in English, with the ability to work directly with Product and engineering teams.

## Nice to have

- Experience with modern frontend technologies, particularly Angular.
- Experience with CI/CD pipelines and infrastructure-as-code tools such as Terraform or Helm.
- Familiarity with Celery, RabbitMQ, event-driven architectures, or streaming systems.
- Experience with cloud infrastructure, Docker, and Kubernetes.
- Experience with QA automation and end-to-end testing.

## About Datarails

## Company Overview
- **One-liner**: Datarails provides an Excel-native Financial Planning & Analysis (FP&A) platform and AI-powered finance operating system that automates data consolidation, reporting, budgeting, and forecasting for finance teams.
- **Entity Type**: Private (Series C)
- **Headquarters**: New York, New York, United States
- **Founded**: 2015
- **Founders**: Not publicly available from executive team pages.

## Core Business
- Primary industry/industries: Financial Technology (FinTech), Enterprise Software, FP&A Software
- Target customers: Mid-size and enterprise companies, specifically FP&A teams, finance leaders, and CFOs who rely on Excel but need better scale and control.
- Mission or purpose statement: To fundamentally change how analytics are used within the finance function and empower finance professionals to spend more time on analysis and less on data gathering.

## Products & Services
- **Datarails FP&A Platform**: An Excel-native platform that automates financial reporting, budgeting, and forecasting. It allows finance teams to keep working in Excel while adding automation, data governance, and collaboration.
- **FinanceOS**: A new finance operating system that connects and consolidates every financial data source in an organization into a single, governed, secure, and AI-ready layer. It features automated consolidation and reporting.
- **Datarails AI (Genius)**: A generative AI assistant for FP&A that helps automate manual, repetitive tasks, enabling more strategic analysis. It includes AI-powered data visualization and anomaly detection.
- **Data Consolidation**: Automated integration with 600+ accounting software, ERPs, CRMs, banks, and HRIS systems to collect and centralize financial data.
- **Month-End Close**: A centralized workspace that streamlines and simplifies the close process, supporting multi-entity and intercompany operations.
- **Cash Management**: A tool providing real-time visibility into cash positions, automatically categorizing transactions, and offering cash forecasting capabilities.
- **Budgeting & Forecasting**: Tools to estimate costs and revenues across the entire business, streamlining the budget collection process.
- **Financial Reporting**: Automated generation of P&L, balance sheets, and cash flow statements.

## Market Standing
- **Valuation/Market Cap**: Not disclosed. The company was last valued at Series C in January 2026.
- **Key Metric**: **Annual Revenue**: $9.8 million (as of latest data, source: LinkedIn). **Total Funding**: $173.5 million across 8 rounds.
- **Notable Investors/Partners**: One Peak (led Series C), Zeev Ventures, Vertex Ventures Israel, Innovation Endeavors.
- **Growth Signals**:
    - Headcount of 357 employees with a **65.3% year-over-year growth** (+173 people) and a monthly growth rate of 3.5%.
    - Ranked 92nd fastest-growing company in North America on the 2024 Deloitte Technology Fast 500.
    - Operates in 17 countries with offices in the US and Israel.
    - Expanded product offerings to include an AI Finance Operating System and a dedicated Cash Management module.

## Competitive Advantages
- **Excel-Native Integration**: Unlike many FP&A tools that require learning a new interface, Datarails works directly within Excel, allowing finance teams to keep their familiar spreadsheets and models.
- **Comprehensive Finance OS**: The FinanceOS platform acts as a single, governed, and AI-ready layer over a company's entire financial data ecosystem, addressing a critical pain point of data fragmentation.
- **Deep Financial Focus**: The platform is purpose-built for the CFO's office, solving specific challenges like manual consolidation, month-end close, and complex budgeting for multi-entity organizations.
- **Strong Product Ratings**: High user satisfaction with a product rating of **4.8/5.0** (from 318 reviews on LinkedIn), indicating strong product-market fit.

## Strategic Focus
- **AI-First Transformation**: Datarails is heavily investing in AI, creating dedicated roles like "Vice President, AI Transformation & Services" and developing its "Genius" AI assistant to automate complex FP&A tasks. This signals a strategic priority to embed AI deeply into its product.
- **Customer Success and Upsell**: The company is actively hiring for Customer Success roles at various levels (VP, Manager, Technical Account Manager, Implementation Specialist), indicating a focus on ensuring high-value customers are successful and expanding their usage of the platform.
- **Global Expansion**: With its strong headcount growth and presence in 17 countries, the company is focused on scaling its global operations, particularly in the US and Israel.

## Why Work Here
- **Culture and Growth**: Datarails is a rapidly growing company (65.3% YoY headcount growth) that has achieved significant recognition from Deloitte, indicating a dynamic and high-growth environment. The company emphasizes building a strong organizational culture, guided by its Head of HR.
- **Remote/Hybrid/Office Policy**: The company operates globally with offices in New York, USA, and Tel Aviv, Israel. Job postings list specific locations (e.g., "United States", "Tel Aviv-Yafo"), suggesting a hybrid or office-first model depending on the role.
- **Compensation**: Employee reviews on LinkedIn score compensation at **4.4/5.0**, suggesting competitive pay. Specific salary data points include $132,224/year for an FP&A Manager and ILS 407,188/monthly for a Frontend Developer.
- **Engineering Culture**: The R&D team is led by a VP of R&D and a Chief Architect, with a strong technical focus. The product is highly rated by users, which is often a good sign for the engineering team's work. A quarter of the company's talent comes from notable tech companies like Tipalti, Deloitte, and Planful, suggesting a strong talent pool.
- **Overall Rating**: The company has an employer rating of **3.8/5.0** with specific scores of **Culture: 3.7, Work-Life Balance: 4.0, and Career Opportunities: 3.9**, indicating a positive but balanced work environment.

## Sources
1. [Datarails Official Website](https://www.datarails.com/)
2. [Datarails Company Page](https://www.datarails.com/company/)
3. [Datarails Greenhouse Careers Page](http://job-boards.greenhouse.io/datarails)
4. [Datarails LinkedIn Page](https://www.linkedin.com/company/datarails)

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