Job Description

Technical Adoption Manager - AI-Driven Enablement & Knowledge Transfer

Location: Bangalore, Hybrid

Type: Full-Time

About the Role:

We are seeking a Technical Adoption Manager to act as the bridge between the core rewrite team and the client's operating company (OpCo) developers. This role ensures smooth adoption of new systems, providing hands-on training, knowledge transfer, and co-development support.

The ideal candidate combines strong technical skills with the ability to teach, mentor, and guide teams through change. You'll play a critical role in ensuring OpCo developers become self-sufficient with the new AI-augmented systems while shielding the core development team from day-to-day adoption challenges.

This role requires a startup-like mindset--adaptable, AI-native, and proactive--while being highly collaborative across technical and business stakeholders.

Key Responsibilities

Training & Enablement:

Deliver ongoing training to OpCo developers throughout the project lifecycle.

Knowledge Transfer:

Ensure successful handoff of technical practices, tools, and frameworks to internal teams.

Co-Development:

Partner with OpCo developers during adoption phases, guiding them in applying new architectures and AI-driven workflows.

AI Fluency:

Promote effective use of AI-assisted development tools (GitHub Copilot, Claude Code, Cursor AI, ChatGPT) to accelerate learning and delivery.

Change Leadership:

Foster confidence and independence within OpCo teams, ensuring long-term sustainability of the new platform.

Stakeholder Communication:

Act as a liaison between OpCo teams and the core rewrite team, reducing unnecessary interruptions for full-stack developers.

Required Experience

5-8 years of professional software development experience. Hands-on experience with modern backend (C#, ASP.NET Core) and frontend frameworks (React, TypeScript, or Angular). Exposure to system migrations or application rewrites. Familiarity with Generative AI tools for coding, documentation, and testing. Prior experience in mentorship, technical training, or enablement strongly preferred.

Generative AI Expertise

Working knowledge of AI-assisted development tools for scaffolding, testing, and documentation. Ability to guide others in translating legacy code into modern service-based designs. Familiarity with AI use cases such as reverse engineering, workflow summarization, and test automation. Comfortable integrating AI-driven features into day-to-day workflows.

What We're Looking For

Educator's Mindset:

Patient, clear, and effective at teaching technical concepts to peers.

AI-Native Thinking:

Uses AI tools daily and encourages others to adopt them as development partners.

Collaborative & Approachable:

Builds trust with OpCo teams, serving as their go-to technical guide.

Pragmatic & Iterative:

Helps teams adapt quickly, delivering value incrementally.

Bridge Builder:

Keeps communication flowing between core developers and OpCo stakeholders without adding friction.

Autonomous & Reliable:

Operates with minimal oversight, ensuring continuity and adoption success.

Why This Role?

As Technical Adoption Lead, you'll play a pivotal role in ensuring the success of our rewrite initiative. By equipping OpCo teams with the knowledge, tools, and confidence to thrive in an AI-augmented development environment, you'll enable long-term sustainability while protecting the velocity of the core rewrite team. This is a unique opportunity to combine technical expertise with leadership and enablement skills, shaping not only the product but also the people who will sustain it.

Job Types: Full-time, Permanent

Pay: ₹5,000,000.00 - ₹6,000,000.00 per year

Benefits:

Health insurance Paid sick time Paid time off Provident Fund Work from home
Ability to commute/relocate:

Bengaluru, Karnataka: Reliably commute or willing to relocate with an employer-provided relocation package (Required)
Experience:

Software Engineering: 10 years (Required) .Net stacks: 8 years (Required) AI tools as coding partners: 3 years (Required)
Location:

Bengaluru, Karnataka (Required)
Work Location: In person