Full-Stack Software Engineer (New Grad)

nue.io • San Francisco, CA

2d • Remote

About The Position

Nue.ai is a fast-growing, enterprise-grade, quote-to-revenue platform that
provides transactional intelligence to help companies run sales, revenue and
finance operations with far less friction, for any revenue model, across
multiple revenue channels. We unify billing, usage, and revenue data into a
single system of record, then apply intelligence on top so teams can see what’s
happening, understand why, and act quickly.

Nue integrates deeply with ERPs (NetSuite, Sage Intacct, QuickBooks, Microsoft
Dynamics), payment systems (e.g., Stripe), and CRMs to power complex
quote‑to‑cash and billing workflows for modern AI and SaaS companies.

We are building deep, data‑intensive, highly distributed systems across teams
like:

AI: Full‑stack systems that leverage AI to augment how finance and revenue
teams work.
Revenue Lifecycle Management: Manage the new business quotes and orders, and
the entire upsell, cross-sell lifecycle of businesses.
Billing & Collections: High‑volume transactional and distributed systems for
rating, invoicing, and collections.
Data & Integrations: Integrations with ERPs, payment gateways, tax engines,
and data pipelines that power order‑to‑cash.

You’ll join a small, senior, distributed product & engineering team and work on
production systems from day one. 

We take a product engineering approach: engineers are expected to be deeply
product- and customer-focused, working closely with product, design, and
customer-facing teams to understand real customer workflows, define success
metrics, and iterate quickly. Rather than just implementing tickets, you’ll own
outcomes end-to-end — from problem discovery and UX trade-offs through to
quality in production, learnings from telemetry and customer feedback, and how
features drive business impact.
In this job, you will use AI-assisted tools (such as Claude Code, Glean and
ChatGPT) as part of your daily workflow to accelerate development while
maintaining strong engineering judgement and code quality, and take an
AI-forward approach to how you design, code, test, and release software -
treating AI as a core part of your engineering toolkit rather than an
afterthought.

Requirements

• Pursuing or recently completed a Bachelor’s or Master’s in Computer Science, Software Engineering, or a related field.
• Solid programming experience in at least one of: Java, TypeScript/JavaScript, or Python, with exposure to building web applications (backend, frontend, or both).
• Strong understanding of core CS fundamentals: data structures, algorithms, concurrency basics, and database concepts (SQL and/or NoSQL).
• Experience (through internships, projects, or co‑ops) building non‑trivial applications — ideally including APIs, services, or full‑stack features.
• Familiarity with version control (Git), basic Linux/CLI workflows, and at least one cloud provider or containerization concept (e.g., Docker, AWS).
• Strong communication and collaboration skills, including the ability to ask thoughtful questions, proactively raise issues, and work effectively in a remote, cross‑functional team.
• Demonstrated curiosity, ownership, and learning velocity — especially around new frameworks, cloud services, and AI tooling.

Nice To Haves

• Internship or co‑op experience at a SaaS or B2B software company, preferably working on back‑end, data, or distributed systems.
• Experience with Java + Spring Boot, or another modern backend framework, and building REST/GraphQL APIs.
• Exposure to financial systems: billing, invoicing, payments, ERPs, or quote‑to‑cash flows.
• Experience using or integrating with systems like NetSuite, Sage Intacct, QuickBooks, Microsoft Dynamics, Salesforce, or Stripe (coursework or side projects count).
• Familiarity with event-driven architectures, message queues (Kafka, RabbitMQ), or stream processing.
• Experience with test‑driven development (TDD) and writing automated tests (unit, integration, or end‑to‑end).
• Regular use of AI-assisted coding tools (Claude Code, ChatGPT, etc.) plus an opinionated view on when to trust vs. question AI output.

Responsibilities

• Build and ship full‑stack features end‑to‑end – from APIs and data models to UI components and tests – in one of our core product teams (AI, Billing & Collections, Data & Integrations, or CPQ & Lifecycle Manager).
• Develop and extend backend services (primarily Java / Spring Boot or similar), including REST/GraphQL APIs, data access layers, and event‑driven components, with a strong focus on transactional correctness, performance, and scalability.
• Work on frontend applications (modern TypeScript/JavaScript frameworks) to deliver intuitive workflows for finance and revenue teams.
• Help build and maintain integrations with systems like NetSuite, Sage Intacct, QuickBooks, Microsoft Dynamics, Salesforce, Stripe, and tax/GL systems using APIs, webhooks, and iPaaS tools (e.g., Tray.io, Salesforce Flows).
• Write clean, test‑driven code and contribute to automated testing, CI/CD pipelines, and monitoring to keep our systems reliable in production.
• Use AI-assisted coding tools (such as Claude Code and ChatGPT) as part of your daily workflow to accelerate development while maintaining strong engineering judgment and code quality.
• Collaborate closely with senior engineers, product managers, and customer-facing teams to understand real customer problems and iterate quickly on solutions.
• Participate in code reviews, design discussions, and technical deep dives on topics like distributed systems, performance optimization, and data modeling.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 11-50 employees