Head of Engineering

External

Poesis · San Francisco

$250K–$280K/yrFull-timeRemoteToday

LeadershipLLMsMachine LearningPythonRisk ManagementSQL

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About the role

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.

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

Required Competencies

5+ years of software engineering experience

2+ years building products or platforms at a frontier AI lab, agentic startup, leading hedge fund, big tech company, 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

Preferred Competencies

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

Location

Hybrid: 3 days per week on-site at our office in Menlo Park, CA. Relocation allowance available.

Head of Engineering

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