---
title: 'Associate at Pravāh'
canonical: 'https://feeny.ai/job/associate-pravah-delhi-zqkwzk9pam9t'
type: 'job'
last_seen: '2026-09-09'
---

# Associate at Pravāh

- **Company:** Pravāh
- **Location:** Delhi, India
- **Compensation:** $20k–$40k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-08-27
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.ashbyhq.com/pravah/6cad94b3-5896-4dd8-92ab-1420795fd445

## Job description

Location: New Delhi/Vadodra/Jaipur/Vizag. We are hiring for 3 positions.

## About Pravah

Pravah is building the world's first foundation model of the electric grid. The world's most important physical industry is under unprecedented stress. We are using ML to build the 22nd-century grid.

We work directly with state-owned distribution and transmission electricity utilities to transform their decades of fragmented operational data into deployable, decision-grade intelligence. Our customers include some of the largest DISCOMs in the country, and our work spans demand forecasting (including renewable generation forecasting), weather forecasting, network mapping, and load flow analysis.

## About the Role

Our product will work only if it is being adopted by the customer and if it solving their biggest problems. You will spend weeks at a time embedded at customer sites, watching senior people use the platform in real time, capturing every point of friction, and translating it into precise, prioritised feedback for our engineers. You will sit in on demos to customer leadership, run 1:1 sessions with relevant stakeholders, and build the trust to ensure our engagement is successful.

This is a role for someone who can hold a technical conversation about power flow with an engineer (if you do not have this knowledge, it's fine. We would want you to learn quickly) and have the ability to present to a senior decision-maker like an IAS officer.

## What You Will Do

- Deploy on site with customer utilities for extended stretches. You will work out of their offices.
- Sit alongside Directors, CGMs, and engineering teams as they use the platform. Watch where they hesitate and record it all.
- Produce structured client visit notes that separate UI/UX issues, broken functionality, and flawed analytical logic, with clear priority and enough specificity for a software engineer.
- Own the feedback loop with engineering. Push back when the field tells us something the roadmap doesn't reflect, and close the loop with the customer when a new feature ships.
- Map the customer organisation: who signs, who influences, who resents whom, who is up for transfer, which consultants are already embedded, and where the real veto sits.
- Present to senior leadership, including Chairmen, Directors, and IAS officers. Run demos, defend our methodology, and know when to concede a point and take it back to the team.
- Chase down validation. Get customers to test our outputs against their own data, and turn that into third-party proof of value that protects the engagement through leadership changes.
- Surface new opportunities from the field: adjacent products, pilot openings, integration requirements with the customer's existing platforms.

## What We're Looking For

- 2-5 years at a top-tier consulting firm, a research or policy institution, a development finance or multilateral organisation, or a customer-facing role at a high-growth startup. Consulting backgrounds map unusually well here.
- Exceptional written communication. Your feedback documents are the primary interface between the customer and our engineers, and vague notes cost us weeks.
- Enough technical curiosity to get into the substance. You do not need to be an engineer, but you need to understand what a metric means, why a customer distrusts it, and be able to explain the difference to both sides.
- A bias toward ownership.
- Fluency with AI tooling as a force multiplier.

## Nice to Have

- Prior exposure to the power, energy, or infrastructure sector, especially state utilities.
- Working comfort with data.
- Regional language ability, particularly in states where we are deployed.

## What You Get

- Direct, visible impact on India's grid. The adoption you drive puts systems live with utilities serving millions of consumers.
- A front-row seat to how the country's power system actually runs.
- Opportunity to work with talented researchers from IIT, Stanford, etc. who have spent significant time working at the frontier of weather, power systems, and machine learning.

## About Pravāh

## Company Overview
- **One-liner**: Pravāh builds foundational AI intelligence for the electric grid, helping utilities forecast demand, model grid constraints, and reduce operational risk in real-time.
- **Entity Type**: Private (Seed Stage)
- **Headquarters**: San Francisco, California, United States (with offices in New Delhi, India)
- **Founded**: 2025
- **Founders**: Mohak Mangal (CEO) and Dhruv Suri (CTO)

## Core Business
- **Primary industry**: AI-powered Grid Intelligence / Clean Energy Software
- **Target customers**: Electric utilities (B2B/Enterprise) in India, Germany, and the United States
- **Mission or purpose statement**: To build the foundational intelligence for the electric grid and solve "a problem that impacts billions" — making electricity cleaner, more affordable, and more reliable as extreme weather, EVs, and rooftop solar strain the grid.

## Products & Services
- **AI Engine for Grid Management**: A machine learning platform that gives utilities real-time understanding of grid behavior under stress, using graph neural networks, reinforcement learning, computer vision, and deep learning-based forecasting.
- **Probabilistic Grid Simulations with Reinforcement Learning**: Tests thousands of possible grid futures to identify risk and failure modes before they occur.
- **Mapping Grid Infrastructure Using Computer Vision**: Uses satellite and street-level imagery to map grid assets and rooftop solar, revealing blind spots in the distribution network.
- **Deep Learning-based Forecasting**: Models electricity demand and distributed generation across time horizons, capturing volatility that legacy methods miss.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metrics**: Raised **$7M** (seed round); 13 employees; works with utilities serving tens of millions of consumers across three continents.
- **Notable Investors**: Khosla Ventures (Vinod Khosla), Pear VC (Mar Hershenson), and Conviction
- **Growth Signals**: Rapid headcount growth (+7.7% monthly on LinkedIn), traffic growth of +251.1% monthly to the website, deployed with utilities in India, Germany, and the US, and expanding across three continents.

## Competitive Advantages
- **Proprietary AI stack purpose-built for energy grids** — including PowerGNN, a topology-aware graph neural network designed specifically for electricity grids.
- **Full-stack grid intelligence** covering forecasting, constraint modelling, asset mapping, and probabilistic simulation in a single platform.
- **Real-world deployments** across three continents, including utilities serving tens of millions of consumers.
- **Strong founding team** with Stanford origins, backed by top-tier Silicon Valley VCs (Khosla Ventures and Pear VC).

## Strategic Focus
- Scaling deployments to more utilities globally, particularly in the US, India, and Europe.
- Deepening the AI/ML research edge — publishing in top venues (e.g., assessing global ML weather prediction models, graph neural networks for grids).
- Hiring across engineering, data science, and power systems roles to accelerate product development and customer implementation.

## Why Work Here
- **Mission-driven**: Founders describe this as "a problem that impacts billions" — working on making energy cleaner and more reliable in an era of climate stress.
- **Small, high-impact team**: Only 13 employees with a flat structure (43% are founders/founding team members) — meaning every hire has outsized ownership.
- **Research-forward culture**: The company publishes academic research and employs ML Weather Scientists, Staff ML Researchers, and Power Systems Engineers — a blend of hard science and engineering.
- **Flexible work**: Hybrid workspace; offices in San Francisco (HQ) and New Delhi. Stanford-founded with strong academic ties.
- **Strong investor backing**: Backed by Khosla Ventures and Pear VC, providing resources and credibility.
- **Notable perks**: The team wrote a detailed Notion document for candidates explaining "what we are building, what is at stake, and why we are so excited about this problem" — signaling a transparent, mission-oriented culture.

## Sources
1. [pravah.com](https://www.pravah.com/)
2. [pravah.com/our-team](https://www.pravah.com/our-team)
3. [linkedin.com/company/pravah-ai-energy](https://www.linkedin.com/company/pravah-ai-energy)
4. [jobs.ashbyhq.com/pravah](https://jobs.ashbyhq.com/pravah)
5. [builtin.com/company/prav-h](https://builtin.com/company/prav-h)

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