AuditBoard is the leading audit, risk, ESG, and InfoSec platform on the market, serving more than 50% of the Fortune 500. The Senior Business Applications Engineer role focuses on architecting and scaling an enterprise automation ecosystem using AI technology to improve business operations and collaborating with various teams to design impactful automation solutions.
Responsibilities:
- Apply knowledge of core enterprise platforms (eg. Salesforce, Workday, Netsuite, etc.) and emerging AI technology to build AI-powered automation for manual business processes
- Design and maintain integrations and orchestration layers using iPaaS automation platforms, REST APIs, and webhooks
- Apply generative and agentic AI to automated workflows to support data-driven reasoning and improve how processes interpret, route and act on business data
- Partner with business and technical stakeholders to translate automation and AI capabilities into well-scoped initiatives with clear success metrics and delivery plans
- Research, evaluate, and adopt emerging AI and automation technologies, including agentic patterns and platform-native AI features, to ensure solutions remain practical, secure and aligned with business needs
- Continuously assess capabilities within existing enterprise platforms (e.g., Salesforce, Workday, NetSuite) to identify opportunities to replace custom solutions with native or lower-complexity features
- Ensure responsible and compliant use of AI, working with Security, Legal, and IT to address data governance, access controls, and risk management
Requirements:
- 8+ years of experience administering and supporting enterprise business systems and SaaS platforms
- Strong knowledge of SaaS enterprise applications and system administration fundamentals
- Experience with iPaaS and workflow automation platforms, such as Workato, n8n, or similar tools, used to build and operate cross-system automations
- Experience designing and implementing API-based integrations, with practical knowledge of REST APIs, webhooks and authentication methods
- Working knowledge of AI technologies, including generative AI and LLM-based capabilities and how they can be applied to SaaS business processes
- Familiarity with common SaaS business processes, such as lead-to-cash, quote-to-cash, procure-to-pay and people operations