1. Chief Technology Officer (CTO)

Target profile

- CTOs at mid-sized and large enterprises, technology companies, and B2B SaaS businesses.

- Leaders responsible for technology strategy, product development, engineering teams, and technology transformation.

- Organisations looking to accelerate product development, modernise legacy systems, adopt AI, or improve engineering capabilities.

Potential requirements

- Digital product engineering

- AI and Agentic AI solutions

- Cloud and platform engineering

- Legacy application modernisation

- Engineering capacity augmentation

1. Chief Information Officer (CIO)

Target profile

- CIOs responsible for enterprise IT strategy, infrastructure, applications, and technology operations.

- Organisations undergoing digital transformation or looking to improve IT efficiency, security, and scalability.

- Enterprises with complex technology environments, legacy systems, or growing automation requirements.

Potential requirements

- Cloud migration and modernisation

- IT process automation

- Identity and access management (IAM)

- Managed IT and application services

- Enterprise AI implementation

1. Vice President of Engineering (VP Engineering)

Target profile





- VPs of Engineering at software product companies, SaaS businesses, and technology-led enterprises.

- Leaders managing software development teams, engineering delivery, architecture, and product releases.

- Organisations facing development bottlenecks, talent constraints, technical debt, or pressure to accelerate product delivery.

Potential requirements

- Software and digital product development

- Engineering team augmentation

- Cloud-native development and platform engineering

- AI-enabled engineering solutions

- Application modernisation and quality improvements

1. Head of AI / Director of AI

Target profile

- Heads of AI, AI Directors, Heads of Data Science, and enterprise AI leaders.

- Organisations exploring or scaling generative AI, AI agents, and AI-powered workflows.

- Leaders responsible for moving AI initiatives from experimentation to production.

Potential requirements

- AI and Agentic AI development

- Enterprise AI use-case implementation

- AI workflow automation

- AI solution integration with existing systems

- Production deployment, scalability, and ongoing support

📌 CTO, CIO, VP Engineering, Head of AI (Bengaluru)
🏢 Multiple
📍 Bengaluru