Head of Engineering

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
• Define the 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

Requirements

• 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

About Poesis

Poesis is the AI-native investment firm running autonomous agents that predict markets, construct portfolios, and manage risk. Our founders managed institutional capital at Capital Group ($3T AUM) and led enterprise ML at Goldman Sachs and Amazon. We're building a new type of firm, where live capital is the training ground for an intelligence that compounds with every signal.

Location

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

Benefits

• Adequate medical, dental, and vision coverage
• A strong benefits package that includes catered lunches in our Menlo Park office, commuter benefits, and more

Compensation Range

$250K - $280K