
At Deccan, our mission is to help AI teams worldwide model with pristine data—at scale and with speed. Your models are only as good as the data, and the data is only as good as the humans behind…

At Deccan, our mission is to help AI teams worldwide model with pristine data—at scale and with speed. Your models are only as good as the data, and the data is only as good as the humans behind…
Headquarters: San Francisco / Bay Area (Mountain View)
Founded: 2024 (October)
Founder & CEO: Rukesh Reddy
Core offering: Human-labeled datasets, post-training data, model evaluation, and AI agents
Recent funding: $25M Series A (Mar 2026) led by A91 Partners
Data quality and evaluation for machine learning model training and post-training assessment.
2024
Software Development
Recorded as a pre-seed round with undisclosed amount; Prosus Ventures listed as an investor.
$25M
Participation from Susquehanna International Group and Prosus Ventures.
“Backed by institutional venture investors including A91 Partners, Susquehanna International Group (SIG), and Prosus Ventures.”
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Technical Delhivery Manager
About Us
Deccan AI is a model training and eval startup headquartered in the Bay Area. We are founded by IIT Bombay, IIM Ahmedabad and ex-Google alumni, and work with some of the top AI frontier labs in the world, e.g. Google Deepmind, Snowflake, and many more. We are backed by Prosus Ventures, and our India delivery office is in Hyderabad. Most of our roles are on-site i.e. Bay Area / Hyderabad.
What it is like to work @ Deccan
To be honest, our workplace is not for the faint-hearted. We work hard, We work fast (many of our clients require same day turnarounds for their complex data needs). We like those who take ownership, roll up their sleeves and do. We like those who thrive in ambiguity and who can operate without titles / hierarchies.But what you will find: tremendous learning, tremendous growth, and a very motivated set of colleagues who are also fun to be around.
Position Overview:
The Technical Delhivery Manager is responsible for managing the scale of technical projects and ensuring their success. This includes overseeing multiple clients and research projects simultaneously, managing larger teams, and ensuring the implementation of cutting-edge AI solutions. The candidate must have experience managing projects at a larger scale with both client-facing and research components.
Key Responsibilities:
Required Skills & Qualifications:
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