Description:

Aleph is an AI-native platform for Financial Planning & Analysis (FP&A) operating in a multi-billion market.
The company was founded by technical experts from Stanford and MIT with experience at top-tier companies.
Aleph is backed by prominent venture capital firms and serves notable customers like Webflow, Turo, Notion, and Zapier.
The platform centralizes financial data from various sources and automates reporting, variance analysis, and forecasting using AI.
The company is hiring a Principal Fullstack Engineer to lead the development of AI features in their web app and add-ins.
The role involves incorporating large language models (LLMs) and other AI technologies into the product.
The engineer will collaborate with product and design teams to innovate and enhance user workflows.
Responsibilities include prioritizing the product roadmap, developing new AI features, delivering scalable code, and establishing best practices.

Requirements:

Candidates must have 12+ years of full-time software development experience, including proficiency in React.
A minimum of 5 years of experience in system design or architecture is required.
A product mindset is essential, with a focus on understanding customer problems to build effective solutions.
A solid background in algorithms and data structures is necessary.
Experience with AI platforms and technologies, including generative models and LLMs, is required.
Strong communication and collaboration skills are needed to work effectively with cross-functional teams.
Previous startup experience or the ability to thrive in an unstructured environment is preferred.
Experience with B2B SaaS products, analytics, or tools for Finance teams is important.
Exposure to and interest in Finance, particularly in FP&A, is desired.

The position offers a remote-first work environment, focusing on candidates within the Americas to align with team working hours.
Aleph is committed to diversity and inclusion, providing equal employment opportunities.
The company prohibits discrimination and harassment based on various protected characteristics.
Hiring decisions are based solely on qualifications, merit, and business needs.