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Open nowPosted 260 days ago

VP Engineering

Scrabble

Where
Bangalore
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Your applicationOpen nowVP EngineeringScrabble · Bangalore

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Share of postings closed within
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  4. 17.6%14 days
  5. 34.3%30 days
  6. 43.5%60 days
This job: posted 260 days ago

The posting

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.)

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