Vice President, Technology

Greenbox Capital

1d•Remote

About The Position

Greenbox Capital is seeking a technology executive to lead the evolution of its technology organization, modernize its platforms, and build engineering capabilities to support continued business growth. Reporting directly to the CEO, the Vice President of Technology owns technology strategy, architectural direction, engineering performance, and execution of initiatives that deliver measurable business value. The role combines strategic leadership with technical depth. The Vice President will assess complex systems, guide architectural decisions, develop technical leaders, and translate business priorities into scalable, secure, and reliable technology solutions. The position will also identify practical applications of AI across the business and engineering organization to improve productivity, decision-making, and operating performance. The Vice President will establish and execute a technology roadmap; guide modernization of cloud, application, and data architecture; lead engineering, data, and technical leadership teams; strengthen delivery practices and operational accountability; and oversee security, resilience, governance, and continuity. The role partners with the CEO and executive leadership, as well as Product, Operations, Risk, Data, and other stakeholders, connecting technology investments to business cases and measurable outcomes. The position is remote in the United States, with approximately 10% travel.

Requirements

15+ years of progressive experience in technology, engineering, architecture, or related leadership roles, including substantial responsibility for technology strategy and organizational performance.
Demonstrated experience leading engineering and data teams responsible for business-critical applications, platforms, and products.
Direct leadership of production cloud environments, modern data platforms, and complex application architectures.
Experience evaluating architectural designs, directing technical decisions, and managing tradeoffs involving scalability, reliability, security, cost, and performance.
Successful delivery of technology modernization, platform transformation, or significant architectural improvements.
Experience building and leading high-performing technical organizations, developing leaders, evaluating talent, and addressing organizational performance.
Ability to connect technology investments to business outcomes such as revenue growth, operating efficiency, customer experience, risk reduction, or scalability.
Experience establishing technology roadmaps, delivery standards, engineering KPIs, and operational accountability.
Experience implementing AI-enabled solutions, automation, or emerging technologies that produce measurable improvements.
Experience partnering with senior executives and cross-functional stakeholders to translate business priorities into technology decisions.
Bachelor’s degree required.
Technical depth to independently evaluate complex systems, challenge recommendations, and make informed architectural tradeoffs.
Understanding of operating reliable, secure, scalable cloud and data platforms in production.
Ability to make sound decisions amid uncertainty, address difficult decisions, and balance technical excellence with commercial realities, resource constraints, and delivery expectations.
Comfort challenging executive stakeholders and taking ownership of outcomes.

Nice To Haves

Advanced degree preferred.
Microsoft Azure and Databricks, or comparable production experience with AWS, Google Cloud, Snowflake, or other modern cloud and data platforms.
Cloud-native application architecture, distributed systems, APIs, and enterprise integrations.
Data engineering, analytics platforms, data pipelines, and data governance.
Modernizing legacy applications, infrastructure, or enterprise technology platforms.
AI-enabled business applications, machine learning, and engineering productivity tools.
Engineering effectiveness, CI/CD, DevOps, observability, and platform reliability.
Security, compliance, disaster recovery, and technology risk management.
Salesforce or other enterprise CRM platforms.
Building and leading geographically distributed engineering and data teams.
Financial technology, commercial lending, payments, financial services, or other environments where data accuracy, security, reliability, and operational continuity are critical.
Experience in the company’s exact technology environment or industry is not required; transferable experience and technical judgment are valued.

Responsibilities

Partner with the CEO and executive leadership team to establish technology priorities aligned with business objectives.
Develop and execute a technology roadmap balancing modernization, innovation, scalability, security, and operational needs.
Evaluate technology investments, organizational capabilities, and competing priorities to direct resources toward the greatest impact.
Translate business challenges into technical strategies, execution plans, and measurable outcomes.
Establish measures for engineering productivity, delivery quality, reliability, and business impact.
Provide evidence-based recommendations and constructively challenge assumptions.
Lead architecture across cloud infrastructure, applications, data platforms, and enterprise integrations.
Assess existing architecture, identify limitations and risks, and establish a practical modernization strategy.
Direct architectural decisions involving scalability, reliability, security, performance, cost, and delivery speed.
Guide production cloud environments and modern data platforms supporting business applications, analytics, and operational workflows.
Ensure systems support maintainability, observability, resilience, and sustainable growth.
Lead, develop, and strengthen engineering, data, and technical leadership across a geographically distributed organization.
Assess organizational structure, technical capabilities, leadership effectiveness, and talent needs.
Set expectations for quality, productivity, delivery, collaboration, and accountability; address performance and talent decisions as needed.
Improve engineering processes, execution discipline, prioritization, and resource allocation, and foster ownership and continuous improvement.
Identify and evaluate AI and automation opportunities for business workflows, customer experiences, operating efficiency, decision-making, and engineering productivity.
Guide appropriate integration of AI-enabled capabilities into production applications and processes, setting standards for security, reliability, quality, governance, and human oversight.
Measure whether AI initiatives produce meaningful improvements.
Strengthen secure, resilient, and well-governed technology operations, including data protection, system availability, disaster recovery, and business continuity.
Partner with stakeholders and technical specialists to identify and address security, compliance, and operational risks.
Improve visibility into system performance, incidents, technical debt, and infrastructure needs.
Build effective partnerships across Product, Operations, Risk, Data, and executive leadership, and connect technology decisions to business outcomes.