It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.
Join us to put AI to work for people.
About This Team:
Join the Global Cloud Services organization's FinOps Tools team, which is building ServiceNow's next-generation analytics and financial governance platform. Our team owns the full modern data stack: Trino for distributed queries, dbt for transformations, Iceberg for lakehouse architecture, Lightdash for business intelligence, and Argo Workflows for orchestration. You will be the founding engineer dedicated to Forecasting & Planning Applications, creating the full-stack platform that empowers our finance and engineering teams to forecast, plan, and optimize cloud spend at enterprise scale.
Role
We are building a cloud-native forecasting and planning platform that enables data-driven financial governance across ServiceNow's multi-cloud infrastructure. As our founding Staff Software Developer focused on Forecasting & Planning, you will design, architect, and rapidly implement full-stack applications that seamlessly integrate with our existing data stack (Trino, dbt, Iceberg, Lightdash, Argo Workflows).
You will build production-grade forecasting applications from the ground up, translating functional requirements from FinOps stakeholders into robust engineering solutions. This role demands aggressive execution: working MVP in 3 months, full production-scale platform in 6 months.
This is a unique opportunity to build from the ground up and define how financial planning and forecasting happens at ServiceNow's scale.
What you get to do in this role:
- Technical Leadership & Architecture
- Design and architect full-stack forecasting and planning applications from functional requirements
- Lead technical decision-making on application architecture, data modeling, and integration patterns
Don't want to miss the next one?
Subscribe to daily email alerts for roles matching your interests.
- Establish best practices for building scalable, maintainable financial applications on Kubernetes
- Drive innovation in FinOps tooling, leveraging modern web technologies and data platforms
- Move fast: deliver working MVP in 3 months, production system at scale in 6 months
- Hands-On Full-Stack Development
- Build modern web applications using React 19, TypeScript, and Vite
- Develop backend services with Node.js and Express for API development and business logic
- Implement data access layers integrating with Trino, DuckDB, and Iceberg tables
- Create intuitive, high-performance user interfaces for complex financial workflows (spreadsheet-like data entry, interactive visualizations, approval workflows)
- Build RESTful APIs with proper validation, error handling, and documentation
- Deploy applications on Kubernetes with proper containerization and CI/CD pipelines
- Data Integration & Analytics
- Integrate forecasting applications with the modern data stack: Trino queries, dbt transformations, Iceberg tables
- Build data pipelines and ETL workflows using Argo Workflows for automated data processing
- Implement real-time data synchronization between forecasting applications and data warehouse
- Create interactive dashboards and visualizations using Recharts, D3.js, or similar libraries
- Optimize query performance for large-scale financial datasets (millions of rows)
- Platform Foundation
- Design database schemas and data models for forecasting, planning, and variance analysis
- Implement authentication, authorization, and audit logging for financial applications
- Build observability and monitoring for application health, performance, and user activity
- Establish infrastructure foundation that scales from pilot users to enterprise-wide adoption
- Deploy and manage applications on Kubernetes with proper resource management and scaling
- Developer Experience & Automation
- Translate functional requirements from FinOps stakeholders into detailed engineering specifications
- Build reusable UI components and libraries for financial applications (data grids, charts, forms)
- Establish development workflows: local development, testing, CI/CD, deployment
- Create comprehensive documentation for APIs, data models, and user workflows
- Collaborate closely with FinOps team to rapidly iterate on features and validate usability
- AI-Driven Development
- Leverage cutting-edge AI development tools (Cursor, Windsurf, ChatGPT, GitHub Copilot) to accelerate development velocity
- Establish AI-augmented development practices and mentor future team members on effective AI tool utilization
- Drive innovation in AI-assisted code generation, testing, and application optimization
- Collaboration & Integration
- Work autonomously with guidance from Engineering and FinOps leadership
- Collaborate with DevOps team on Kubernetes infrastructure, CI/CD pipelines, and security policies
- Partner with FinOps Tools team members working on Trino, dbt, Lightdash, and Iceberg to ensure seamless integrations
- Translate business requirements into technical solutions with clear communication to stakeholders
Qualifications
To be successful in this role you have:
- Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.
- 8+ years of experience in software engineering with deep expertise in full-stack development and cloud-native architecture with a Bachelor's degree; or 6 years and a Master's degree; or a PhD with 3 years experience in Computer Science, Engineering, or related technical field; or equivalent experience.
- Expert-level proficiency in React and TypeScript, particularly building complex, data-intensive web applications
- Strong Node.js and Express skills for backend API development and business logic implementation
- Proven track record of rapid execution in greenfield environments with evolving requirements
- Hands-on experience building and scaling full-stack applications at enterprise scale
- Strong SQL and database design skills for relational and analytical databases
- Experience with Kubernetes and containerization for cloud-native application deployment
- Ability to translate functional requirements into engineering specifications and deliver production-ready solutions
- Full professional proficiency in English
Technical Expertise
- Frontend Development: React 19, TypeScript, Vite, modern state management (Context API, Zustand, Redux)
- UI Libraries: Experience with data-intensive UI components (AG Grid, Handsontable, or similar), charting libraries (Recharts, D3.js)
- Backend Development: Node.js, Express, RESTful API design, authentication/authorization patterns
- Databases: SQL proficiency, experience with DuckDB, PostgreSQL, or similar; understanding of analytical databases (Trino, Presto, BigQuery)
- Data Technologies: Familiarity with dbt, Apache Iceberg, data lakehouse architectures, or modern data stack
