Pitch us a Role

Pravāh; San Francisco (CA); On-site; USD 100,000 - 150,000; Full time

Benefits offered by this job

Opportunity to shape technical direction

Collaboration with a motivated founding team

Job summary

Pravāh in San Francisco is seeking exceptional individuals for open-ended roles across machine learning, software engineering, power systems, and more. Candidates are encouraged to propose how they can uniquely contribute to the electric grid's foundational intelligence. The work promises to tackle pioneering problems at the intersection of AI and physical infrastructure. Successful candidates will enjoy full ownership from day one and collaborate closely with a motivated technical team.

Qualifications

• High agency and a bias for action.
• Full ownership from Day 1; thrive in ambiguity.
• High standards for building core decision engines.

Responsibilities

• Define a new modeling direction in machine learning.
• Bridge grid physics and AI stack.
• Own technical deployments end-to-end.

Skills

Machine learning

Software engineering

Power systems

Operations

Business development

Job description

About Pravāh

Pravāh is building foundational intelligence for the electric grid. We are a team of researchers and engineers who met at Stanford. We use machine learning to help electric utilities make real-time decisions on grid planning and operations to reduce blackout risks and reduce volatility caused by extreme events.

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

• 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.