LogoFresh Jobs Ahead
Greenbox Capital
Greenbox Capital
51 – 200 Darbinieki
H1B vīzas sponsorsFinansesKonsultācijasLoģistika
Greenbox Capital ir tehnoloģiju vadīts alternatīvais aizdevējs un tiešais finansētājs, kas apkalpo mazos uzņēmumus, piedāvājot tirgotāju naudas avansus, rēķinu faktorēšanu un īstermiņa uzņēmējdarbības aizdevumus. Uzņēmums tika dibināts 2012. gadā un izstrādā finansēšanas risinājumus, lai uzlabotu piekļuvi apgrozāmajam kapitālam. Tā uzņēmumu platforma The Box palīdz nodrošināt darījumu drošību, ātrāku finansējumu un rūpīgāku riska novērtēšanu. Greenbox Capital koncentrējas uz uzņēmumu apkalpošanu Amerikas Savienotajās Valstīs, Puertoriko un Kanādā, un tā darbības pamatā ir apņēmība, komunikācija, komandas darbs, apkalpošana un godprātība.
LinkedIn
Vakances uzņēmumā

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.

USAmerikas Savienotās ValstisAttālinātiPilna slodzeVadošais speciālistsNepieciešamā Valoda: angļuViceprezidents
AWSAzureMākonisSadalītās sistēmas

Apraksts

  • 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.

Prasības

  • 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.

Priekšrocības

  • Approximately 10% travel.

Saistītās vakances

eFinancial

Remote VP of Enterprise Intelligence

eFinancial
201 – 500 Darbinieki
H1B vīzas sponsorsApdrošināšanaKonsultācijasVeselības aprūpe
USAmerikas Savienotās ValstisILIlinoisa
227 000 $ – 280 000 $ / gads
AttālinātiPilna slodzeVadošais speciālistsNepieciešamā Valoda: angļuViceprezidents
Mākonis

Lead data, analytics, reporting, and AI/ML strategy for Fidelity Life’s US life insurance business, building trusted data foundations and insights that support business decisions.

Atvērt