VP ENGINEERING

Company Overview

(Company information is not specified.)

Job Summary

The Vice President of Engineering will lead the technical architecture and engineering excellence for an AI-native software platform. This role will oversee the transition from a project-centric to a product-centric delivery model and is responsible for building a high-performing engineering culture characterized by merit, ownership, and decentralized decision-making.

Responsibilities

• Architecture & Technical Strategy (45%):

  • Design and execute the transition from monolithic project-based architecture to a modular, product-centric platform.
  • Lead decisions on technology stack, data architecture, AI/ML infrastructure, and cloud partnerships (AWS/Azure/GCP).
  • Define API contracts, data models, and integration patterns that enable autonomous pod delivery.
  • Establish engineering standards for code quality, testing, deployment, observability, and security scanning.
  • Lead architecture reviews and decision-making within the pod steering committee.
  • Contribute technically to complex problem-solving while participating in architecture decisions, code reviews, and incident response.

• Team Building & Leadership (35%):

  • Build a lean, AI-native engineering team culture through smart hiring, onboarding, and mentorship.
  • Drive engineering practices that include retrospectives, technical deep-dives, and knowledge sharing.

• Execution & Delivery (20%):

  • Own quarterly planning and capacity allocation across pods.
  • Ensure Service Level Agreements (SLAs) and delivery timelines are met for projects.
  • Drive continuous improvement by measuring velocity, quality metrics, and engineer satisfaction.

Qualifications

• Core Competencies:

  • 10+ years of experience building large-scale systems; 4+ years in a leadership role with a team of 8 or more.
  • Deep systems thinking involving data pipelines, API design, multi-tenant architectures, and cloud infrastructure.
  • Fluency in AI/ML: understanding capabilities, constraints, and integration patterns.
  • Product mindset: ability to understand how technical decisions impact user outcomes and business KPIs.
  • Experience thriving in flat organizational structures that value merit over hierarchy.
  • Proven operational excellence with process discipline without unnecessary bureaucracy.

• Proven Track Record:

  • Experience in building or scaling engineering teams to 15+ members.
  • Led transformations from project to product or from services to Software as a Service (SaaS).
  • Experienced in large-scale deployments, especially in regulated or mission-critical systems.
  • Demonstrated track record of shipping products that customers actively use.

Preferred Skills

• Experience with digital transformation or public sector projects.
• Background in India’s startup ecosystem.
• Familiarity with multi-stakeholder environments (government, Public Sector Units, or large enterprises).

Experience

• Minimum of 10+ years with a strong emphasis on large-scale system development and 4+ years of leadership experience.

Environment

• Work setting is not specified, but it is expected to involve collaboration within an engineering team focused on AI-native technologies.

Salary

(Salary information is not specified.)

Growth Opportunities

(Opportunities for career advancement are not specified.)

Benefits

(Benefits offered are not specified.)