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Founding MTS - Data Platform Equity) at well-funded AI research startup

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Jack & Jill
Full Time position
Listed on 2026-09-15
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 150000 - 300000 USD Yearly USD 150000.00 300000.00 YEAR
Job Description & How to Apply Below

Job Title

Founding MTS - Data Platform

Salary

$150k-$300k + Equity

Company Description

Well-funded AI research startup

Job Description

Join a high-intensity stealth team as a founding technical member building next-generation AI simulation platforms. You will blend research, engineering, and product ownership to develop proprietary models that predict complex outcomes for global leaders. This role is a launchpad for future founders, operating at the frontier of automated data curation and analysis.

Location

San Francisco, USA

Why this role is remarkable
  • Join a stealth-stage venture that has achieved significant revenue growth in its first year through organic client referrals.
  • Work alongside an elite founding team from premier consulting firms, big-tech engineering hubs, and top-tier research institutions.
  • Operate with massive autonomy in a high-density, in-person environment designed for rapid iteration and technical excellence.
What You Will Do
  • Collaborate with principals to define and architect novel AI products that transform how strategic decisions are analyzed and executed.
  • Develop advanced data gathering systems utilizing voice agents and long-horizon research agents to power simulation engines.
  • Execute post-training and optimization of proprietary models to improve automated curation and continuous data analysis pipelines.
The ideal candidate
  • Strong machine learning and data engineering foundations with a track record of shipping production-scale systems at premier software firms.
  • High-intensity work ethic with the ability to learn rapidly and operate with significant scope in a fast-paced environment.
  • Low-ego, first-principles thinker who enjoys collaborating in-person and elevating teammates within a high-talent density culture.
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