Head of Engineering

Asset management is the largest industry not yet rebuilt around AI—Poesis is leading that future. We are an AI-native investment manager building a system of self-improving agents to predict market movements and outperform legacy managers. We’re building systems that discover alpha, manage risk, and compound intelligence over time, led by founders who spent their careers managing institutional capital and building enterprise-level AI. This is frontier research with immediate real-world validation where your work directly impacts investment decisions and portfolio performance. We're a new breed of investment firm, and we're looking for world-class talent to shape the path forward together.

We’re hiring a Head of Engineering, our first engineering leader who will define our architecture, build the initial system, and act as both IC and product owner. You’ll work directly with the CEO and Chief Scientist to create the technical backbone of our company. You’ll design and ship the first demo-able workflows, integrate with financial data providers, build reproducible pipelines, and create a thin UI layer that makes outputs usable for decision-makers and investors. Over time, you’ll help recruit engineers and data scientists as the company grows

• Own the architecture and development of Poesis’ first engineering systems: data ingestion, model/optimizer orchestration, and productization.

• Act as product manager: define workflows, release criteria, and usability standards in collaboration with leadership.

• Build reproducible pipelines and lightweight interfaces (CLI, dashboards, GUIs) for internal users and investor demos.

• Integrate various professional financial data providers (e.g., CapIQ, Bloomberg, FactSet, Refinitiv).

• Establish team practices: sprint cadence, release process, versioning, and documentation.

• Mentor and coordinate future hires.

• 6–10+ years of software engineering experience, including senior/staff IC roles

• Prior experience in an agentic startup, frontier AI lab, a leading hedge fund, a big tech platform team, or similar

• Experience building data-intensive or quant systems from scratch.

• Strong systems design and API/interface definition skills.

• Fluency in Python and modern data tooling (pandas/numpy, SQL, orchestration frameworks).

• Track record of productizing research or analytics into usable tools (dashboards, GUIs, or internal products).

• Comfortable building robust systems that can execute real world trades with extremely high accuracy.

• Comfortable working directly with executives and acting as de-facto PM.

• Basic understanding of trading and financial markets

• Prior experience with professional financial data providers (CapIQ, Bloomberg, FactSet, Refinitiv).

• Familiarity with quantamental investing, portfolio optimization, or financial ML.

• Exposure to ML ops practices (feature stores, model registries, evaluation frameworks).

• Basic experience with LLM/RAG tooling for document processing (filings, transcripts).

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

We offer excellent medical, dental, and vision coverage, alongside a strong benefits package that includes catered lunches in our Menlo Park office, commuter benefits, and more.
Current legal authorization to work in the US required; continuing work visa sponsorship available for full-time employees.

As an early team member, you’ll help shape not just the product, but how the company operates. Your decisions will have lasting impact across the business. You’ll build from first principles, with no legacy systems, or entrenched processes slowing you down. Our team is made up of people from elite companies and universities who are low ego, collaborative, and excited to build together.