Business Applications Developer

PCC Talent Acquisition Portal•Santa Ana, CA
•Hybrid

About The Position

The Business Applications Developer designs, develops, and deploys custom business applications that improve commercial performance across quoting, pricing, pipeline management, capacity planning, and forecasting. The role uses AI-assisted development tools and integrated AI capabilities to accelerate the transition from concept to production while continuously optimizing application performance, functionality, and user experience. Focused on the commercial side of the business, the developer partners closely with Sales, Finance, Supply Chain, and Operations leadership to translate business needs and data into actionable insights and faster, better-informed decisions. The role delivers scalable, AI-enabled solutions integrated into daily workflows to improve process efficiency and generate measurable business value. Approximately 50–60% of the role involves building and maintaining custom Databricks-based applications, and 40–50% involves working directly with Sales, Finance, Supply Chain, and Operations. The position requires at least 50% in-office presence at one of the company’s designated facilities in Southern California, Pennsylvania, Nashville, or Seattle. Travel is approximately 25% for sales engagement, working sessions, and deployments, with greater travel intensity during build and launch phases.

Requirements

  • 3–6 years of experience developing complex applications.
  • At least 2 years of AI experience.
  • Strong SQL and Python skills, or equivalent.
  • Familiarity with APIs, Git, and application deployment.
  • Ability to translate commercial problems into scalable solutions.
  • Ability to drive adoption and build tools that are actively used and deliver P&L results.

Nice To Haves

  • Experience with CRM and/or CPQ systems is strongly preferred.
  • Experience supporting commercial or revenue operations is a plus.
  • Databricks experience, including SQL, Delta Tables, and Unity Catalog, is strongly recommended.
  • Experience with AI capabilities such as LLM APIs, prompt engineering, and RAG workflows is strongly recommended.

Responsibilities

  • Partner with Sales, Finance, Supply Chain, and Operations to identify high-value application opportunities, such as opportunity summaries and next-best actions, guided quoting and pricing guardrails, similar-deal insights and recommendation engines, pipeline and forecast intelligence dashboards, deal books, forecasting and SIOP inputs, market and opportunity summaries, and daily sales TOC dashboards.
  • Build and deploy AI-enabled applications using Databricks.
  • Integrate data across CRM, CPQ, ERP, and contract systems.
  • Embed tools directly into commercial workflows rather than delivering standalone dashboards.
  • Lead pilots end-to-end, from design and testing through launch and sustainment.
  • Train users and drive adoption within real business routines.
  • Ensure accuracy, governance, and compliance with AS9100, ITAR, and DFARS.
  • Align with Corporate and Division IT on AI standards and controls.
  • Report measurable improvements in revenue, margin, and forecast performance.
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