Founding Member of Technical Staff, Markets
True Talent Solutions Partners
18 hours ago
Full-time
On-site
About the Role
Join a small engineering team building AI-driven systems for financial markets. In this founding-level role, you will take ideas from initial exploration through production and help develop the software, data, and trading infrastructure that supports rapid research and experimentation.
What You'll Do
Own projects end to end, from ideation and implementation through production deployment.
Build and extend data pipelines, trading signals, and research infrastructure, as well as create new systems where needed.
Develop automated execution systems and tools that help the team move quickly from an idea to a live experiment.
Work closely with quantitative and AI researchers on approaches to market prediction.
Contribute across trading and high-frequency trading infrastructure, security, and machine learning.
What We're Looking For
Typically 1 to 5 years of full-time experience as a software engineer or quantitative developer, with meaningful real-world exposure and demonstrated ownership.
A degree in computer science, mathematics, statistics, or physics.
Strong software engineering skills in Python or C++ and a record of taking a project from concept to production.
Experience in quantitative development, trading systems, data infrastructure, systematic research, high-frequency trading, crypto, or fintech.
Strong statistical intuition and comfort working with noisy real-world data.
Experience using AI-driven development tools and the ability to work across domains in a fast-moving, ambiguous environment.
Quantitative trading experience, including internships, is relevant.
Compensation & Benefits
Annual salary range: $200,000 to $300,000. Visa sponsorship is available.
Location
On-site in Palo Alto, California, six days per week.
Join a small engineering team building AI-driven systems for financial markets. In this founding-level role, you will take ideas from initial exploration through production and help develop the software, data, and trading infrastructure that supports rapid research and experimentation.
What You'll Do
Own projects end to end, from ideation and implementation through production deployment.
Build and extend data pipelines, trading signals, and research infrastructure, as well as create new systems where needed.
Develop automated execution systems and tools that help the team move quickly from an idea to a live experiment.
Work closely with quantitative and AI researchers on approaches to market prediction.
Contribute across trading and high-frequency trading infrastructure, security, and machine learning.
What We're Looking For
Typically 1 to 5 years of full-time experience as a software engineer or quantitative developer, with meaningful real-world exposure and demonstrated ownership.
A degree in computer science, mathematics, statistics, or physics.
Strong software engineering skills in Python or C++ and a record of taking a project from concept to production.
Experience in quantitative development, trading systems, data infrastructure, systematic research, high-frequency trading, crypto, or fintech.
Strong statistical intuition and comfort working with noisy real-world data.
Experience using AI-driven development tools and the ability to work across domains in a fast-moving, ambiguous environment.
Quantitative trading experience, including internships, is relevant.
Compensation & Benefits
Annual salary range: $200,000 to $300,000. Visa sponsorship is available.
Location
On-site in Palo Alto, California, six days per week.