Associate – Corporate Innovation

Job Title:

Reporting To:

Who We Are

T-Hub is India’s leading innovation ecosystem, enabling and empowering an innovation-led economy. As a catalyst for innovation, T-Hub has supported over 3,000 startups and facilitated 600+ corporate innovation engagements across diverse sectors including deep tech, sustainability, mobility, health, and more.

Our mission is to accelerate innovation for startups, corporates, governments, and academia through high-impact programs, partnerships, and ecosystem collaborations. With a strong focus on entrepreneurship, T-Hub has emerged as a preferred innovation partner for leading public and private sector organizations.

What Will You Do?

● Conduct focused sector research to identify high-potential client opportunities aligned with innovation priorities.

● Develop and manage strategic documents, proposals, and client databases to support outreach and presales efforts.

● Coordinate corporate and ecosystem engagement events including roundtables, innovation showcases, and stakeholder meetings.

● Provide research-based insights to support business development and client engagement activities.

● Standardize internal sales collateral and support documentation of team learnings and best practices to improve efficiency.

Requirements:

• Bachelor's degree in any discipline.
• 0–2 years of relevant experience, preferably within: Startup ecosystem, Open innovation or corporate innovation environments

Key Competencies:

● Adaptability & Learning Agility

● Collaboration & Team Dynamics

● Innovation & Ecosystem Understanding

● Documentation & Reporting

● Event Execution & Vendor Management

● Presentation & Analytical Communication

Expected Deliverables:

1. Build a strong client pipeline with at least 6 high-potential leads identified through research and sector insights.
2. Deliver a minimum of 8 strategic documents (proposals, insight decks) to support presales and client engagements.
3. Improve operational efficiency by standardizing presales collateral and capturing internal learnings for long-term use.