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Founding Engineer at Tryrama

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Jack & Jill
Full Time position
Listed on 2026-08-03
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Engineering
Salary/Wage Range or Industry Benchmark: 180000 - 280000 USD Yearly USD 180000.00 280000.00 YEAR
Job Description & How to Apply Below

Job Title

Founding Engineer

Salary

Not Disclosed

Company Description

is a recently-seeded San Francisco startup building the AI infrastructure layer for the $3T+ electronic component distribution industry. The team is developing mission-critical systems that automate pricing intelligence and supply chain logistics for some of the world’s largest industrial distributors, replacing legacy manual processes with sophisticated AI.

Job Description

As the first AI/ML hire at , you will own the end-to-end development of core technical systems. You'll build pricing intelligence, demand forecasting, and inventory optimization models while designing the data infrastructure to handle complex industrial data. Working directly with the founders, you’ll ship production-grade AI that transforms global supply chains.

Location

San Francisco, USA

Why this role is remarkable
  • Join as the first AI/ML engineer at a recently-seeded company, gaining massive equity upside and the ability to shape the entire technical architecture from day one.
  • Solve high-impact problems for a massive $3T+ market, moving global supply chains away from manual workflows toward sophisticated, automated AI infrastructure.
  • Work directly with the CTO in a high-velocity, in-person environment in San Francisco where you can see your code impact the world's largest industrial distributors.
What You Will Do
  • Design and deploy production-ready ML models for pricing intelligence, demand forecasting, and inventory optimization from the ground up.
  • Architect and maintain robust data pipelines capable of ingesting and processing "messy" industrial data from diverse global sources.
  • Collaborate closely with the founders and customers to iterate on product features and ensure technical solutions meet complex, real-world supply chain needs.
The ideal candidate
  • Proven experience building and shipping production-level AI/ML systems and managing the underlying data infrastructure required to support them at scale.
  • A builder's instinct with the ability to thrive in an ambiguous, fast-paced startup environment and take complete end-to-end ownership of projects.
  • Strong proficiency in designing scalable technical architectures, with a bonus for candidates who have experience in supply chain, logistics, or industrial domains.
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