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Greenbox Capital
Greenbox Capital
51 – 200 Darbuotojai
H1B vizos rėmėjasFinansaiKonsultavimasLogistika
Greenbox Capital yra technologijomis grindžiamas alternatyvus skolintojas ir tiesioginis finansuotojas, teikiantis paslaugas mažosioms įmonėms per prekybininkų grynųjų pinigų avansus, sąskaitų faktoringą ir trumpalaikes verslo paskolas. 2012 m. įkurta įmonė kuria finansavimo sprendimus, skirtus pagerinti apyvartinio kapitalo prieinamumą. Jos verslo platforma „The Box“ padeda užtikrinti sandorių saugumą, greitesnį finansavimą ir patikimesnį rizikos vertinimą. Greenbox Capital daugiausia dėmesio skiria įmonėms Jungtinėse Amerikos Valstijose, Puerto Rike ir Kanadoje, o veiklą grindžia įsipareigojimu, komunikacija, komandiniu darbu, paslaugumu ir sąžiningumu.
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Remote Vice President of Technology at Greenbox Capital

Lead Greenbox Capital’s cloud, data, engineering, security, and AI modernization as the company grows its financial services capabilities. Build scalable technology systems and teams in a remote executive role.

USJungtinės ValstijosNuotolinisVisas etatasVadovasPrivaloma Kalba: anglųViceprezidentas
AWSAzureDebesijaPaskirstytosios sistemos

Aprašymas

  • Lead the development of Greenbox Capital’s technology organization.
  • Modernize platforms and expand engineering capabilities to support business growth.
  • Direct technology strategy, architecture, engineering performance, and initiatives that deliver business value.
  • Set a technology roadmap aligned with business priorities, growth, and scale.
  • Work with the CEO and executive team to define technology priorities.
  • Assess technology investments, organizational capabilities, and competing demands.
  • Turn business challenges into technical strategies, execution plans, and measurable results.
  • Define measures for engineering productivity, delivery quality, reliability, and business impact.
  • Oversee architecture and scaling across cloud infrastructure, applications, data platforms, and enterprise integrations.
  • Assess architecture, identify technical risks, and set modernization plans.
  • Guide production cloud environments and modern data platforms.
  • Build and lead engineering, data, and technical leadership teams across a distributed organization.
  • Set expectations for quality, productivity, delivery, collaboration, and accountability.
  • Develop technical leaders and make organizational and talent decisions.
  • Improve engineering processes, execution, prioritization, and resource allocation.
  • Identify and implement practical uses for AI and automation.
  • Guide the integration of AI capabilities into production applications and operational processes.
  • Set standards for security, reliability, quality, governance, and human oversight.
  • Strengthen technology security, resilience, governance, disaster recovery, and business continuity.
  • Manage security, compliance, and operational risks.
  • Improve visibility into system performance, incidents, technical debt, and infrastructure needs.
  • Report to the Chief Executive Officer.

Reikalavimai

  • At least 15 years of progressive experience in technology, engineering, architecture, or related leadership roles.
  • Significant responsibility for technology strategy and organizational performance.
  • Experience leading engineering and data teams responsible for business-critical applications, platforms, and products.
  • Direct leadership experience with production cloud environments, modern data platforms, and complex application architectures.
  • Experience assessing architecture and directing technical decisions on scalability, reliability, security, cost, and performance.
  • A track record of delivering technology modernization, platform transformation, or major architectural improvements.
  • Experience building and leading high-performing technical organizations.
  • Experience developing leaders, assessing talent, and addressing organizational performance.
  • Ability to connect technology investments to business outcomes.
  • Experience setting technology roadmaps, delivery standards, engineering KPIs, and operational accountability.
  • Experience implementing AI solutions, automation, or emerging technologies that deliver measurable improvements.
  • Experience working with senior executives and cross-functional stakeholders.
  • Bachelor’s degree required; advanced degree preferred.
  • Experience with Microsoft Azure and Databricks, or comparable AWS, Google Cloud, Snowflake, or other modern cloud and data platforms.
  • Knowledge of cloud-native application architecture, distributed systems, APIs, and enterprise integrations.
  • Knowledge of data engineering, analytics platforms, data pipelines, and data governance.
  • Experience modernizing legacy applications, infrastructure, or enterprise technology platforms.
  • Experience with AI-enabled business applications, machine learning, and engineering productivity tools.
  • Experience with CI/CD, DevOps, observability, and platform reliability.
  • Experience with security, compliance, disaster recovery, and technology risk management.
  • Experience with Salesforce or other enterprise CRM platforms.
  • Experience building and leading geographically distributed engineering and data teams.

Privalumai

  • Approximately 10% travel.

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