Senior Director, Engineering

USFull-TimeDirector
Salary not disclosed
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Job Details

Required Skills
Artificial IntelligenceMachine LearningMicroservicesSoftware EngineeringSaaSDistributed Systems

Requirements

  • Proven experience leading engineering organizations responsible for large-scale SaaS products, ideally $50M+ in revenue or similar enterprise scale.
  • Strong technical background in software engineering, architecture, and distributed systems, with the ability to engage deeply in technical discussions.
  • Experience leading platform modernization initiatives, including replatforming, scalability improvements, and cloud-native transformations.
  • Demonstrated success integrating AI, machine learning, or advanced data-driven capabilities into production-grade software products.
  • Strong leadership experience building, scaling, and mentoring high-performing engineering teams in fast-paced environments.
  • Ability to translate business strategy into technical execution plans and long-term architectural vision.
  • Excellent communication skills with the ability to influence executive leadership, product teams, and technical stakeholders.
  • Bachelor’s degree or higher in Computer Science or a related technical field.
  • Strong strategic thinking combined with hands-on engineering judgment and problem-solving ability.
  • Experience working in high-growth, high-visibility SaaS environments is highly preferred.

Responsibilities

  • Lead and scale engineering teams responsible for a large, revenue-generating SaaS platform with a focus on modernization and long-term scalability.
  • Drive multi-year platform transformation initiatives, including re-architecture, replatforming, and migration toward modern cloud-based and microservices-based systems.
  • Own the technical roadmap for the product, ensuring alignment with business objectives, customer needs, and enterprise-scale performance requirements.
  • Integrate AI capabilities into core product functionality in collaboration with product managers, data scientists, and cross-functional partners.
  • Provide strategic technical leadership and guidance to executive stakeholders on engineering investments, system design, and innovation priorities.
  • Establish engineering best practices, ensuring high standards for reliability, performance, scalability, and maintainability.
  • Build and mentor high-performing engineering teams, fostering a culture of ownership, execution excellence, and continuous improvement.
  • Drive cross-functional collaboration between engineering, product, and business teams to ensure successful delivery of strategic initiatives.
  • Champion engineering innovation, including adoption of AI tools and modern development practices to improve efficiency and product outcomes.
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