Founding MTS – Data Platform

Posted 2 Days Ago
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San Francisco, CA, USA
In-Office
150K-300K Annually
Entry level
Artificial Intelligence • Professional Services • Software • Analytics
The Role
Build net-new AI products for high-stakes decision simulations while partnering with principals as a core product owner. Develop novel data-gathering techniques using voice and analysis agents, and post-train models to improve automated data procurement and analysis pipelines. The role combines product ownership, software engineering, and research in an intense, in-person San Francisco environment.
Summary Generated by Built In

About Solvea

Solvea is building simulations for high-stakes decisions. In our rapidly changing world, leaders are forced to act with imperfect information. Solvea helps them move with conviction by simulating these high-stakes decisions so they better understand how and why their decisions will ripple across society. Our mission is to predict the outcome of every decision.

In <1 year, we’ve 10x-ed revenue with customer demand outstripping our pace of deployment. We’ve built proprietary models that work across the lifecycle of strategic decisions that are live in deployment every day. Most importantly, we have won the trust of dozens of clients who continue to refer us organically to their peers even as we remain in stealth.

We are hiring the last few members of the founding team to help us shape the product and work with our rapidly expanding client base, as we prepare to scale. You’ll push, and be pushed by our incredibly talent dense team. Founding Principals are from leading consulting firms with experience working on the most complex decisions. Founding Members of Technical Staff have worked on problems at scale (Google, Microsoft, Uber) and on cutting-edge research (Kaggle top 100).

This role is a launchpad for future founders or Solvea leaders. High-intensity, in-person environment in San Francisco, 6 days a week, with top-of-market comp. We move fast and the bar is high - join us and make a difference.

Our Philosophy on Working Culture

  • We are high autonomy - you will operate with incredible scope of responsibility from day 1

  • We think from first principles - reinventing how work should be done requires reasoning about why we do things, and what we are trying to achieve

  • We operate across domains - if you haven’t already, you will learn how the leaders make their decisions as you build the simulations to support their decisions.

About the Role

Responsibilities

This is a unique role combining the very best aspects of Product, Engineering, and Research

  • Working with our principals as a core product owner - define, design and build net-new AI products that shape the frontier of decision-making

  • Building novel data gathering techniques with the latest technology (Voice Agents, Analysis Agents)

  • Post-Training models to continuously improve automated data procurement and analysis pipelines

What makes a good fit at Solvea

We are looking for the trifecta of smart, driven and nice

  • Capability - You likely are at a top software company with meaningful development experience and are tired of the politics

  • Commitment - You are individually intense, learn rapidly and recognize the opportunity ahead to shape the world

  • Culture - You are low ego, earn the right through action, and want to elevate your teammates to win together

Benefits

  • Compensation & Benefits

  • Cash Compensation - USD $150,000 - $300,000

  • Meaningful Equity

  • Lunch, dinner, and coffee provided in the office

  • Top Health + Dental + Vision Insurance

  • 401k plan

  • Late night Ubers

  • Visa sponsorship support

Skills Required

  • Meaningful software development experience
  • Ability to learn rapidly and work with high autonomy
  • Low-ego, collaborative working style
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The Company
2 Employees
Year Founded: 2025

What We Do

Solvea develops AI-powered simulations to help leaders assess high-stakes strategic decisions amid uncertainty. It gathers real-world evidence about customer and competitor behavior, builds representative market environments, and models possible futures and their probabilities to show how different choices may play out. Its work supports investment strategy, due diligence, value creation, market entry, product launches, regulation, go-to-market strategy, pricing, and customer-sentiment analysis.

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