Staff Software Engineer

Foresight Data•New York City, NY

18h•Hybrid

About The Position

Foresight is the leader in providing Generative AI to the private investment market industry through LLM-powered agents fully integrated into best-in-class web and mobile software. Foresight is solving some of the most challenging data integration, data management and visualization problems for private markets with a revolutionary product that brings together investment sourcing, deal management, portfolio management and finance capabilities in one end-to-end platform. Founded by a team with a history working together at three of the most innovative, demanding, data-driven financial institutions in the world, Blackrock, Point72, and Greycroft, Foresight is a fast-growing pre-Series A company with engineers who have worked at leading tech companies including Amazon, Google, and a host of great startups. This is a rare opportunity to join a team who are building the future of how trillions of dollars of investment capital are allocated, integrated and visualized. As a Staff Software Engineer, you will play a key role in the design and development of Foresight’s systems, with a focus on data architecture and portfolio reporting capabilities. Working closely with the Director of Engineering, Product, and other engineering partners, you will help build scalable, reliable backend services that support accurate, high-performance reporting for private equity and venture capital clients. This role sits at the intersection of data, systems, and product, contributing hands-on systems development while providing technical guidance and mentorship within the engineering team. Generative AI is a key component of our technology stack, and you will lead the construction of industry leading agentic AI workflows and user experiences. Operating in a fast-growing startup environment, you will gain exposure to the workflows, data complexity, and decision-making processes that underpin the private markets ecosystem.

Requirements

Bachelors degree in computer science or related field; commensurate years of experience in lieu of degree.
Minimum of 6 years of professional full-stack engineering experience, with ownership of complex features or systems.
Demonstrated experience writing scalable, maintainable code in JavaScript or TypeScript.
Experience building and integrating web services and APIs, including REST and/or GraphQL, HTTP, and JSON.
Hands-on experience working with cloud platforms such as AWS or Azure.
Familiarity with Agile development methodologies (Scrum or similar).
Strong collaboration skills and the ability to work effectively with product, frontend, and data partners.

Nice To Haves

Experience working in an entrepreneurial or early-stage environment, comfortable operating within a small team.
Familiarity with financial data, analytics, or investment-related calculations (VC, PE, or B2B SaaS).
Experience building AI features.

Responsibilities

Partner with Product and Engineering leaders to scope backend features, contribute to clear technical requirements, and support delivery through agile development cycles.
Design, build, and maintain backend services that support portfolio reporting, analytics, and data-driven workflows.
Integrate data from multiple internal and external sources, ensuring accuracy, reliability, and performance of reporting systems.
Collaborate with Engineering team to design and implement features that leverage data enrichment, machine learning, and AI capabilities.
Contribute to backend architecture and data model decisions in alignment with established technical direction.
Work closely with frontend and data teams to deliver end-to-end product functionality.
Support monitoring and improvement of system-level metrics, including performance, data integrity, and reliability.
Mentor junior engineers through code reviews, knowledge sharing, and day-to-day technical guidance.
Operate effectively in a fast-paced, entrepreneurial environment with evolving priorities and requirements.