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Fireworks is a Series D AI infrastructure platform (valued at $17.5B) founded by the PyTorch team and backed by AMD, NVIDIA, Sequoia, and other top-tier investors. The company enables enterprises to build, train, and serve AI models tailored to their data and workflows.
You will be the Head of Business Systems, reporting to the Head of Finance and Operations. This is a strategic leadership role responsible for building and scaling the systems, processes, and technology foundation that enables Fireworks to grow. You will own the business systems strategy, enterprise application portfolio, business process automation, data integration, and major transformation programs across GTM, Finance, Data, and Operations.
Key responsibilities include:
**Business Systems Strategy & Architecture**: Define company-wide business systems strategy, architecture, and multi-year roadmap. Establish a scalable application ecosystem starting with centralized finance. Evaluate buy/build/consolidate/integrate/retire decisions. Develop standards for system architecture, integrations, data ownership, and automation. Create an enterprise approach for evaluating and integrating AI tools and agentic capabilities into business systems.
**Enterprise Applications**: Own the portfolio of critical business applications (Oracle NetSuite, Ironclad, Ramp, etc.). Establish platform ownership, governance, and support models. Improve reliability, usability, and adoption. Partner with Security and IT on access controls, compliance, and vendor risk management. Establish standards for AI-enabled features and third-party AI tools connected to enterprise applications.
**Business Process & Automation**: Partner with functional leaders to redesign workflows and eliminate complexity. Identify opportunities to automate high-volume or manual processes using workflow platforms, APIs, and AI. Evaluate and implement AI tooling including AI assistants, copilots, intelligent workflow automation, and agentic solutions. Build reusable integration and automation capabilities. Establish metrics for process efficiency, system adoption, and AI tooling impact.
**Data & Integration**: Create a coherent integration strategy across enterprise applications and data platforms. Improve consistency and reliability of core business data. Establish clear systems of record, data ownership, and governance for customers, products, employees, contracts, and financial data. Define how AI tools and agents securely access and interact with enterprise data and systems. Partner with Data and Analytics teams.
**Transformation Programs**: Lead major cross-functional systems initiatives such as CRM transformation, quote-to-cash, procure-to-pay, financial systems modernization, and AI-enabled workflow transformation. Develop business cases, program plans, governance structures, and success metrics. Coordinate stakeholders across business functions, Engineering, IT, Security, Finance, and external partners. Ensure programs deliver measurable business outcomes.
**Team Leadership**: Build and lead a high-performing Business Systems organization spanning platform owners, business systems analysts, developers, architects, and program managers. Define the operating model and organizational structure. Hire, develop, and retain exceptional talent. Build AI fluency within the organization. Create a culture of strong ownership, customer orientation, technical excellence, and pragmatic execution.
**Vendor & Investment Management**: Own or influence a significant portfolio of enterprise software and services spend. Partner with Finance, Procurement, Security, and Legal on vendor selection, negotiation, implementation, and renewal. Evaluate AI technology vendors based on business value, integration capabilities, data security, governance, and total cost of ownership. Rationalize overlapping tools and improve technology ROI.
Within 12–18 months, success means establishing a clear business systems architecture and roadmap, improving reliability and scalability of critical platforms, reducing manual work through automation, establishing AI tooling strategy and governance, creating stronger ownership of business applications and data, delivering major transformation programs, improving visibility into systems spend and technology ROI, and building a strong Business Systems team.
**Requirements**:
- 12+ years of experience in Business Systems, Enterprise Applications, IT, Business Technology, or related functions
- 5+ years leading teams in a rapidly growing or complex enterprise environment
- Demonstrated ownership of large-scale enterprise application portfolios and transformation initiatives
- Deep experience with one or more major enterprise platforms such as Salesforce, NetSuite, Oracle, or comparable billing platforms
- Strong understanding of enterprise architecture, integrations, APIs, workflow automation, identity, data governance, and SaaS operating models
- Experience evaluating, implementing, and integrating AI tools or AI-enabled capabilities into enterprise applications and business workflows
- Understanding of enterprise AI architecture and governance considerations, including data access, APIs, permissions, security, human-in-the-loop controls, and AI agent integration
- Experience designing and improving end-to-end business processes across multiple functions
- Proven ability to partner with senior leaders and translate business strategy into systems and operational capabilities
- Strong program management and change management skills
- Experience managing systems integrators, consultants, software vendors, and significant technology budgets
- Ability to move fluidly between executive-level strategy, architecture decisions, organizational design, and hands-on problem solving
**Preferred Qualifications**:
- Experience scaling business systems through periods of rapid headcount, geographic, product, or revenue growth
- Experience supporting a public company or organizations operating with SOX or similar regulatory requirements
- Experience with modern integration and automation platforms and AI tools
- Experience with enterprise AI platforms, AI assistants/copilots, agentic workflows, or AI orchestration technologies
- Familiarity with modern data platforms and architectures
- Experience introducing AI-enabled automation into enterprise workflows
- Experience developing governance, security, and operating standards for AI tools connected to enterprise systems and data
- Experience supporting international operations, M&A integration, or multi-entity environments
