--- title: 'Pitch us a Role at Pravāh' canonical: 'https://feeny.ai/job/pitch-us-a-role-pravah-san-francisco-tx6njwv7hf31' type: 'job' last_seen: '2026-09-09' --- # Pitch us a Role at Pravāh - **Company:** Pravāh - **Location:** San Francisco, CA - **Compensation:** $150k–$250k - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-04-27 - **Last confirmed live:** 2026-09-09 - **Apply:** https://jobs.ashbyhq.com/pravah/6fe16b07-58f5-43d0-a144-839df659aec4 ## Job description ## About Pravāh 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 are backed by Khosla Ventures, Pear VC, and Conviction. ## The Role We do not have a predefined job description for this posting, and that is intentional. If you have come across what we are building and thought "I know exactly how I could contribute, but I do not see a role for it," this is for you. We are open to exceptional people across machine learning, software engineering, power systems, weather, business development, operations, and domains we have not even thought of yet. We are a small team solving genuinely hard problems at the frontier of AI and physical infrastructure. The right person for this role will come in with a point of view: a clear sense of what they are great at, where they see a gap at Pravāh, and how they would fill it. We will figure out the rest together. ## What You Might Work On This depends entirely on you and what you bring. Past examples of roles candidates have proposed, or that we could imagine: - A machine learning researcher who wants to define a new modeling direction in GNNs, RL, or computer vision - A power systems engineer who wants to bridge grid physics and our AI stack - A forward deployed engineer who understands utility operations and wants to own technical deployments end-to-end - A founding engineer who wants to own our product deployment - A weather scientist who sees an opportunity to push the frontier of AI-weather prediction for grid applications - A GTM or BD specialist who knows the utility landscape and wants to build our commercial motion ## What we always look for - High agency and a bias for action. You build, fix, and ship. You do not wait for perfect conditions or a detailed playbook. - Full ownership from Day 1. You thrive in ambiguity, reason from first principles, and take problems end-to-end. - High standards. We are building the core decision engine for the modern grid, not optimising for a local maximum. We want people who think the same way. - Easy to work with. We hugely value people who are relaxed and friendly while also being intense and absolute hustlers. Our lives are crazy and only getting crazier, in the best way possible. - Strategic thinking. How do we accomplish 10x what we are doing today? We want people who hold the long-term roadmap and the short-term execution in their heads at the same time. ## What You Will Gain - The chance to work on hard, open-ended problems at the intersection of AI and physical infrastructure. - Ability to shape technical direction at a company that is early enough for your ideas to genuinely change the trajectory. - Close collaboration with a deeply technical and motivated founding team. ## 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) ## Other roles at Pravāh - [Associate](https://feeny.ai/job/associate-pravah-delhi-zqkwzk9pam9t) — Delhi, India - [Senior Full Stack Software Engineer](https://feeny.ai/job/senior-full-stack-software-engineer-pravah-delhi-mr3aq2x6mxsw) — Delhi, India - [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-pravah-delhi-rw9kapqfd9b0) — Delhi, India - [Weather Scientist (Numerical Weather Prediction)](https://feeny.ai/job/weather-scientist-numerical-weather-prediction-pravah-delhi-948bf425b632) — Delhi, India