Head of Engineering

Poesis•San Francisco, CA

1d•$250,000 - $280,000•Hybrid

About The Position

We're looking for an experienced leader to help shape the future of Poesis. As Head of Engineering, you'll bring strong technical judgment and deep systems expertise to build AI-native systems at the intersection of machine learning and investing. You'll translate frontier research into production platforms, turning large-scale data, models and agent capabilities into systems that drive investment decision-making. You'll work closely with Poesis leadership to define the technical vision and execute the engineering roadmap. This is a hands-on role with meaningful responsibility for both architecture and implementation.

Requirements

5+ years of software engineering experience
2+ years building products or platforms in a frontier AI lab, agentic startup, leading hedge fund, big tech team, or similar
2+ years of leadership and/or management experience
Strong systems design skills architecting distributed, data-intensive, and event-driven platforms
Proficiency in Python and SQL, with bonus for TypeScript, Go, or Rust
Success designing and operating modern AI and agentic systems, including LLMs, orchestration, evaluation, and ML infrastructure
Basic understanding of financial markets and a personal or professional interest in investing
BS/MS/PhD in Computer Science or related field, or equivalent practical experience
Current legal authorization to work in the US required

Nice To Haves

Experience building platforms for quantitative research, systematic investing, or financial analytics, including point-in-time financial data and professional data providers such as Capital IQ, Bloomberg, FactSet, or Refinitiv
Familiarity with portfolio construction, risk management, or investment workflows
Deep knowledge of predictive and generative artificial intelligence algorithms and methods
Continuing work visa sponsorship available for full-time employees.

Responsibilities

Help define the architecture and technical direction of the Poesis platform
Design and build scalable systems for financial data ingestion, processing, storage and access
Build the infrastructure that supports research, model development, real-time multiagent inference, and production decision-making
Design point-in-time data architectures that ensure reproducibility, historical accuracy and research integrity
Define platform standards for data architecture, APIs, reliability, reproducibility and explainability
Partner closely with researchers, quantitative developers and leadership to translate research into production.
Define and evolve engineering processes that allow the team to ship quickly, reliably and predictably
Recruit, develop and manage a high-performing engineering team