Position Overview

MangoBoost is seeking a Finance Manager, Planning & Control to work directly with the CFO and leadership as we move into large, capital-intensive AI infrastructure. You will own how we plan, fund, and control that growth by building the budget and long-range plan internally, as well as the financial models, project-finance structures, and partner relationships that support scalable initiatives externally. This role requires a rigorous financial modeler with a bias toward action and the ability to turn complex financial and capital decisions into clear recommendations for executives.

Responsibilities & Opportunities

You will sit at the intersection of FP&A and strategic finance, embedded with the CFO Group and focused on the financial decisions that matter most to the business. This includes but is not limited to:

Own company-wide budgeting and planning by building and maintaining the annual budget, rolling forecasts, and long-range plan.
Design and manage capital planning and controls for large-scale spending by monitoring burn, runway, and return against plan and building controls that keep execution disciplined.
Build infrastructure financial models for project finance and unit economics, including scenario and sensitivity analysis to support build-vs-partner decisions.
Structure and evaluate JV and project-financing options while developing models and materials to engage financial institutions, lenders, and potential JV partners.
Support future capital raises across equity, debt, and project finance by preparing models, data rooms, and analyses for strategic and financing transactions.
Synthesize financial analysis into concise, actionable recommendations for the leadership team and the company's operating rhythm, including monthly business reviews.

Required Qualifications

4–8 years of total experience across FP&A, strategic or corporate finance, infrastructure or project finance, investment banking, or private equity, or a strong combination of these areas.
Ability to build financial models from scratch, including three-statement, project-finance, and scenario analysis models, with a high bar for the quality of output.
Experience with capital-intensive businesses such as infrastructure, data centers, energy, semiconductors, or hardware, with exposure to project finance and/or JV structuring.
Strong command of budgeting, forecasting, cost control, and capital allocation, with the ability to operate across U.S. and Korea entities and work with external financial institutions and advisors.
Proactive and self-directed approach with full ownership of outcomes without waiting for direction.
Fluent in English and Korean with professional proficiency required in both languages.
Strong interest in or ability to rapidly learn AI infrastructure and semiconductor technologies.

About us

MangoBoost, Inc.

Agentic AI is fundamentally reshaping the paradigm of AI infrastructure. As environments emerge where countless AI agents operate simultaneously, conventional data center architectures are reaching their limits in both performance and efficiency. In response to this shift, MangoBoost is pioneering a new approach with its full-stack AI infrastructure solution designed to innovate every layer of the AI data center.

From LLMBoost, our AI inference optimization software, to GPU and storage systems powered by our proprietary DPU architecture, and orchestration software that seamlessly integrates and manages the entire stack, MangoBoost designs and develops every layer of AI infrastructure in-house. Rather than building isolated products, we focus on eliminating system-wide bottlenecks and fundamentally addressing inefficiencies across the entire infrastructure stack.

MangoBoost’s technology minimizes data movement and coordination overhead while maximizing overall system resource utilization, enabling exceptional performance and optimized total cost of ownership (TCO) for customers. Today, our solutions are already being deployed within real-world AI infrastructure environments through global partners, validating the strength of our technology. Through these efforts, MangoBoost is establishing a new global standard for AI data centers.

Notice Regarding Return of Hiring Documents

This notice is in accordance with Article 11, Section 6 of the Fair Hiring Procedure Act, which allows job applicants, excluding the final successful candidate, to request the return of any recruitment documents they have submitted.
Job applicants who were not selected as the final candidates in the recruitment process are entitled to request the return of the recruitment documents they submitted within 180 days of the date the employment decision is confirmed. However, this does not apply to documents submitted via the website or email, or documents voluntarily submitted by the applicant without the company’s request. If the recruitment documents are lost due to natural disasters or other reasons for which the company is not responsible, it will be considered as having been returned.
Applicants wishing to request the return of their recruitment documents should fill out the Request for Return of Hiring Documents [Form 3 of the Enforcement Rules of the Fair Hiring Procedure Act] and submit it by email (recruiting@mangoboost.io). The documents will be sent by registered mail to the designated address within 14 days from the confirmation of submission. Please note that the cost of registered mail will be borne by the recipient.
The company will keep the recruitment documents for 180 days following the confirmation of the employment decision. If no request for the return of documents is made within that period, the company will dispose of all recruitment documents without delay in accordance with the Personal Information Protection Act.