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VP Engineering


Job Location:

Chennai - India

Monthly Salary: Not provided by the employer
Posted: 3 September 2026 (22 hours ago)
Application Deadline: 1 December 2026
Vacancies: 1 Vacancy

Job Summary

About Our Client:


A fast-growing tech startup headquartered in Chennai our client designs innovative solutions at the crossroads of AI automation and enterprise productivity. They are on a mission to empower modern businesses by weaving intelligent systems into scalable engineering.


Responsibilities:


  • Lead the Technology Vision: Define and drive the long-term technology roadmap with a focus on innovation scalability and measurable business impact.
  • Leverage AI/ML Across the Stack: Identify and implement strategic AI/ML opportunities from automating complex workflows to enhancing content and enabling data-driven decision-making.
  • Build a World-Class Engineering Team: Hire mentor and develop a high-performing engineering organization with a strong culture of ownership collaboration and continuous learning.
  • Develop Future Leaders: Support the growth of engineering managers fostering leadership skills and maintaining a strong internal talent pipeline.
  • Cross-Functional Collaboration: Work closely with Product Design Customer Success and Business teams to ensure aligned priorities shared goals and seamless execution.
  • Deliver with Excellence: Oversee the timely high-quality delivery of projects and products ensuring strong technical standards and operational reliability.
  • Optimize Technology Investments: Manage engineering budgets vendor relationships and cloud infrastructure to balance performance cost and agility.



Desired Profile:


  • 15 years of experience in engineering roles including 5 years in engineering leadership positions.
  • Proven track record in leading cross-functional agile teams delivering B2B SaaS products.
  • Deep understanding of cloud-native architectures modern development ecosystems and infrastructure-as-code.
  • Demonstrated success in evaluating implementing or integrating AI/ML capabilities in product or service environments.
  • Strong grasp of product thinking ability to co-own outcomes with product management.