Lend A Hand India Tech Stack

Vocational education and skills training at scale across Indian schools

Non-profit Organization Management Pune, Maharashtra 201–500 employees Nonprofit

Lend A Hand India operates a state-level vocational education program serving 1.2M+ students across 12,000+ schools in 25 states, embedded within government education departments. The tech stack (Adobe creative suite, .NET/C#, Angular/React) reflects dual operational needs: content production for curriculum materials and internal systems for program management. Active hiring spans ops, education, and research roles, with documented pain points around scaling implementation and shifting schools from rote to experiential learning—core problems that demand both policy coordination and on-ground execution capacity.

Tech Stack 12 technologies

Core StackAdobe Premiere Pro After Effects .NET C# Angular React Next.js Canva Final Cut Pro Photoshop CorelDRAW Google Forms

What Lend A Hand India Is Building

◆Challenges

Strengthening skill education implementation
Policy implementation challenges
Scaling vocational education initiatives
Shifting from rote learning to experiential learning
Improving education quality in underserved communities
Securing resources from csr initiatives
Achieving annual financial goals
Expanding donor relationships
Implementing vocational education programs
Expanding internship opportunities

▲Active Projects

Samagra shiksha program implementation
Vocational education program in maharashtra
Mobile outreach initiatives
Mixed-methods research on teacher adoption of experiential learning
Study on instructional change in schools
Program short videos and documentaries
Flagship internship program in gujarat
Ai for all initiative
Skill education program implementation
Kaushal bodh initiative rollout

Hiring Activity

Steady15 roles · 3 in 30d

Department

Ops

Education

Marketing

Research

Communications

Engineering

Government

Seniority

Mid

Senior

Manager

Junior

Lead

Notable leadership hires: District Lead

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About Lend A Hand India

Lend A Hand India is a nonprofit founded in 2006 that integrates vocational training into secondary education (grades 9–12, ages 14–18) across India. The organization partners with state governments to establish vocational labs, train instructors, coordinate internships with micro-enterprises, and provide job placement support. A core operational model places Lend A Hand staff within state education departments to co-design policy and oversee execution. Current scale includes partnerships across 25 states, 12,000+ schools, and 1.2 million students. The organization also runs research initiatives on experiential learning adoption and teacher practice change, and supports emerging programs like AI for All alongside its flagship internship and skills certification track.

HeadquartersPune, Maharashtra

Company Size201–500 employees

Hiring MarketsIndia, Uganda, Indonesia

Frequently Asked Questions

What does Lend A Hand India do?

Lend A Hand India embeds vocational education into secondary schools across India via state government partnerships. It sets up labs, trains vocational instructors, arranges internships with small enterprises, and provides placement support for students aged 14–18 in grades 9–12.

How many schools does Lend A Hand India reach?

Lend A Hand India works with 12,000+ schools across 25 states in partnership with state governments, serving 1.2 million+ students.

Is Lend A Hand India hiring?

Yes. Lend A Hand India has 14 active roles across operations, education, marketing, research, communications, engineering, and government affairs, with hiring in India, Uganda, and Indonesia.

How this profile is built

Lend A Hand India's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.