Vice President of Engineering

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interface.ai

πŸ“Remote - India

Job highlights

Summary

Join interface.ai as the VP of Engineering (India) and become a key member of the executive leadership team. Lead and scale a high-performing engineering organization, driving strategic direction and growth. You will build scalable, high-quality AI products, ensuring alignment with company goals and delivering exceptional customer value. Collaborate with various stakeholders, oversee the technical roadmap, and mentor engineering leaders. Build and optimize engineering processes, spearhead recruitment, and manage engineering budgets. This role requires extensive experience in software engineering and leadership, along with specific technical skills and a passion for AI.

Requirements

  • 15+ years of overall experience in software engineering, with at least 8+ years in a leadership role scaling technical teams and delivering complex products
  • Proven experience in leading the development and delivery of Enterprise SaaS products with a focus on scalability, performance, and security
  • Strong technical background with expertise in JavaScript, Node.js, and associated frameworks (Express.js, Koa.js, Hapi.js) as well as a hands-on understanding of NoSQL and Relational databases
  • Knowledge of modern cloud infrastructure (AWS, Azure, GCP) and DevOps best practices
  • Demonstrated experience designing and implementing low-latency, high-availability, and high-performance applications
  • Exceptional problem-solving skills, with a proactive and strategic approach to identifying technical and organizational improvements
  • Proven success in building, mentoring, and scaling large engineering teams in a high-growth startup environment
  • Experience in driving agile development processes, CI/CD practices, and engineering excellence across cross-functional teams
  • Strong understanding of real-time systems, including web sockets, long-polling, and server-sent events
  • Ability to collaborate effectively with C-level executives, product teams, and external stakeholders
  • Exceptional leadership, communication, and organizational skills, with a track record of influencing at all levels of the organization
  • Passion for innovation, particularly in AI and its transformative role in industries like banking and financial services
  • Experience in a high-growth startup scaling from 50-200+ employees

Responsibilities

  • Lead and scale a high-performing engineering organization, including Backend, Frontend, and QA teams, fostering a culture of innovation, collaboration, and excellence
  • Collaborate closely with product, design, and business stakeholders to align engineering initiatives with company objectives and deliver industry-leading conversational AI products
  • Oversee the technical roadmap, ensuring on-time delivery of scalable, high-quality, and robust solutions that meet business needs and customer expectations
  • Develop and drive the technical vision, architecture, and strategy to support long-term growth and scalability of our Enterprise SaaS platform
  • Provide mentorship and technical guidance to engineering leaders, empowering teams to solve complex problems and grow professionally
  • Build and optimize engineering processes, ensuring adherence to best practices, agile methodologies, and company engineering standards
  • Spearhead recruitment, hiring, and retention efforts to attract top engineering talent and grow a world-class technical team
  • Act as a bridge between engineering, product, and executive leadership to ensure technical decisions align with business priorities
  • Drive innovation by staying at the forefront of emerging technologies and industry trends, particularly in AI and enterprise software
  • Ensure the security, scalability, and reliability of our products while implementing data protection and compliance best practices
  • Own and manage engineering budgets, resource planning, and vendor relationships, ensuring efficient and cost-effective operations

Preferred Qualifications

Previous experience working in AI or Conversational AI products is preferred

Benefits

  • Remote First Policy – Flexibility to work from anywhere
  • Comprehensive Insurance Policy – Coverage for you and your family
  • Leadership Impact – Opportunity to build and scale the engineering organization, shaping the future of AI in the financial services industry

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