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Senior Director of Engineering

Posted 6 days agoViewed

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💎 Seniority level: Director, 12+ years

🔍 Industry: Fintech

🏢 Company: Array👥 251-500💰 over 2 years agoCreditFinancial ServicesPersonal FinanceFinTechSoftware

🗣️ Languages: English

⏳ Experience: 12+ years

Requirements:
  • 12+ years of engineering leadership experience, with a foundation in individual contribution and technical depth.
  • Comfort with delivering in multiple technology stacks, knowing that our value is in the solutions we deliver for customers, not the language we write it in.
  • Proven success leading multiple teams simultaneously through change while delivering zero to one, high-growth, and established products.
  • A forward-looking approach to AI - understanding its role in increasing velocity, reducing cost, and reshaping how teams operate.
  • Experience modernizing infrastructure across hybrid environments (cloud, on-prem), with an eye on cost efficiency and agility.
  • Strong executive presence with the ability to shift context quickly - whether communicating with engineers, C-suite, or clients.
  • A deep passion for team building, talent development, and scaling high-performance engineering organizations.
Responsibilities:
  • Join an engineering organization filled with top talent.
  • Lead the emerging and acquired products portfolio - shipping new products and evolving legacy platforms to meet modern standards.
  • Drive architecture and engineering discipline across release cycles, with a focus on scalable modernization and technical agility.
  • Make high-stakes decisions in a dynamic M&A environment, balancing integration complexity with product opportunity.
  • Increase productivity by elevating collaboration models with product, design, and GTM teams.
  • Align engineering investment with commercial impact - ensuring technical delivery accelerates revenue and market share.
  • Evolve engineering processes to meet shifting business priorities, ensuring adaptability across teams.
  • Communicate strategic shifts and scope changes clearly across internal and external stakeholder groups.
  • Driving AI-first practices into product delivery and team operations, using data-informed strategies to maximize impact.
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