Engineering Manager

Point Digital Finance, Inc.
7hRemote

About The Position

As an Engineering Manager at Point, you’ll lead two engineering teams focused on AI-driven workflow optimization and automation, directly improving operational efficiency and the company’s bottom line. You’ll drive technical strategy, mentor high-performing engineers, and collaborate with cross-functional teams to build scalable automation solutions. This role is perfect for a leader who thrives at the intersection of AI, engineering, and business impact. Check out our latest Engineering Blog to learn more about why it's a great time to join Point's Engineering team!

Requirements

  • 5+ years of experience in software engineering, with at least 3 years in engineering management, leading multiple teams.
  • Experience scaling engineering teams and driving high-impact projects with measurable business outcomes.
  • Proven ability to collaborate cross-functionally with Product, Data Science, and Operations to align engineering efforts with company goals.
  • Deep technical acumen with expertise in backend systems, AI/ML applications, or workflow orchestration (coding experience is a plus but not required).
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field—or equivalent industry experience.

Responsibilities

  • Lead and mentor two engineering teams focused on AI-driven workflow automation and operational efficiency.
  • Define and execute the technical strategy for workflow optimization, ensuring scalable and reliable automation solutions.
  • Drive collaboration with Product, Data Science, and Operations to identify and implement AI-powered improvements.
  • Ensure high-quality execution, balancing speed, technical excellence, and business impact.
  • Scale and optimize engineering processes, promoting best practices in automation, observability, and system reliability.
  • Foster a strong engineering culture, emphasizing ownership, continuous learning, and innovation.
  • Track and measure impact, using data-driven approaches to evaluate automation effectiveness and inform future improvements.
  • Hire and develop top talent, ensuring the teams are high-performing, engaged, and aligned with company goals.
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