Technical Financial Systems Lead

It's fun to work in a company where people truly believe in what they're doing!

At BlackLine, we're committed to bringing passion and customer focus to the business of enterprise applications.

Since being founded in 2001, BlackLine has become a leading provider of cloud software that automates and controls the entire financial close process. Our vision is to modernize the finance and accounting function to enable greater operational effectiveness and agility, and we are committed to delivering innovative solutions and services to empower accounting and finance leaders around the world to achieve Modern Finance.

Being a best-in-class SaaS Company, we understand that bringing in new ideas and innovative technology is mission critical. At BlackLine we are always working with new, cutting edge technology that encourages our teams to learn something new and expand their creativity and technical skillset that will accelerate their careers.

Work, Play and Grow at BlackLine!

In this role, you will act as a full-stack builder for the finance organization. You will develop AI agents (micro-MCPs, Claude, Google ADK), orchestrate cross-system workflows (Workato), and build custom applications and AI features natively within core platforms like NetSuite and Zuora. While our Data Engineering team manages the underlying pipelines, you will own the semantic and reporting layers (Snowflake, Sigma), ensuring this data foundation is precisely modeled to power the advanced AI and automation tools you deploy across the business.

• • AI Application & Agent Architecture: Design, develop, and govern AI applications and agents utilizing Claude, Google ADK, and micro-MCPs. Deploy these solutions as standalone self-service tools for FP&A and Accounting, or embed them natively within existing financial applications to enhance user workflows.
  • In-App Development & Engineering: Build custom applications, scripts, and intelligent features directly within NetSuite (SuiteScript) and Zuora. Solve complex Quote-to-Cash (QTC), billing, and revenue challenges by engineering solutions at the system level.
  • Enterprise Orchestration: Architect robust cross-system automations using Workato to seamlessly connect NetSuite, Zuora, and other platforms, eliminating manual data movement and reconciliation.
  • Semantic Data Modeling: Partner with Data Engineering to own the financial data models at the semantic layer (Snowflake, Sigma). Structure and optimize this data specifically to feed AI agents, dashboards, and automated applications.
  • Security & SOX Compliance: Embed strict data governance and role-based access controls (RBAC) into every application, integration, and AI agent. Ensure all deployments strictly adhere to SOX compliance and internal security policies.
  • Business Enablement: Act as a strategic technical partner to Finance leadership. Translate complex operational bottlenecks into scalable, automated technical capabilities.

• • 7–14 years of progressive technical experience in systems engineering, application development, or automation architecture.
  • Hands-on experience or highly demonstrated capability in building AI applications and agent-based solutions using large language models (Claude, Google ADK) and frameworks like MCP.
  • Proven experience developing custom applications and automations natively within enterprise ERP and billing systems. NetSuite (SuiteScript) and Zuora development experience is strongly preferred.
  • Deep expertise in data modeling at the semantic and reporting layers (Snowflake, Sigma), coupled with advanced SQL and Python programming skills.
  • Strong experience designing and supporting enterprise integrations and cross-system orchestrations, with a strong preference for Workato.
  • Proven track record of designing systems within SOX compliance frameworks, including the implementation of RBAC and data governance standards.
  • Solid functional understanding of complex Quote-to-Cash (QTC) data schemas, accounting principles, financial close processes, and FP&A reporting requirements.
  • Bachelor's degree in Computer Science, Information Systems, Analytics, or a related technical discipline.

• A technology-based company with a sense of adventure and a vision for the future. Every door at BlackLine is open. Just bring your brains, your problem-solving skills, and be part of a winning team at the world's most trusted name in Finance Automation!
• A culture that is kind, open, and accepting. It's a place where people can embrace what makes them unique, and the mix of cultural backgrounds and varying interests cultivates diverse thought and perspectives.
• A culture where BlackLiner's continued growth and learning is empowered. BlackLine offers a wide variety of professional development seminars and inclusive affinity groups to celebrate and support our diversity.

BlackLine is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, race, ethnicity, age, religious creed, national origin, physical or mental disability, ancestry, color, marital status, sexual orientation, military or veteran status, status as a victim of domestic violence, sexual assault or stalking, medical condition, genetic information, or any other protected class or category recognized by applicable equal employment opportunity or other similar laws

BlackLine recognizes that the ways we work and the workplace itself has shifted. We innovate in a workplace that optimizes a combination of virtual and in-person interactions to maximize collaboration and nurture our culture. Candidates who live within a reasonable commute to one of our offices will work in the office at least 3 days a week.

• • 7–14 years of progressive technical experience in systems engineering, application development, or automation architecture.
  • Hands-on experience or highly demonstrated capability in building AI applications and agent-based solutions using large language models (Claude, Google ADK) and frameworks like MCP.
  • Proven experience developing custom applications and automations natively within enterprise ERP and billing systems. NetSuite (SuiteScript) and Zuora development experience is strongly preferred.
  • Deep expertise in data modeling at the semantic and reporting layers (Snowflake, Sigma), coupled with advanced SQL and Python programming skills.
  • Strong experience designing and supporting enterprise integrations and cross-system orchestrations, with a strong preference for Workato.
  • Proven track record of designing systems within SOX compliance frameworks, including the implementation of RBAC and data governance standards.
  • Solid functional understanding of complex Quote-to-Cash (QTC) data schemas, accounting principles, financial close processes, and FP&A reporting requirements.
  • Bachelor's degree in Computer Science, Information Systems, Analytics, or a related technical discipline.