Description

Position Overview

MangoBoost is seeking a Product Marketing Manager to lead how our products are positioned, launched, and presented to the market, with a primary focus on our AI inference platform. This role will shape product messaging, pricing and packaging, competitive positioning, and go-to-market strategies to help customers clearly understand the value of our products.

The role will also own MangoBoost's marketing website as a product, overseeing its structure, content, pricing information, and product documentation while partnering with web designers on visual execution. The ideal candidate combines strong product marketing and writing skills with enough technical understanding to turn complex AI and infrastructure products into clear, compelling, and credible messaging for developers and customers.

Responsibilities & Opportunities

• Own positioning, messaging, and pricing narrative across the product portfolio, with a primary focus on the AI inference platform.
• Own the marketing, pricing, and documentation website as a product, shaping its structure, content, and page-level messaging while partnering with a web designer on visual execution.
• Lead competitive intelligence and maintain a sharp comparison of price and performance across providers, along with sales battlecards.
• Drive product launches for new models, features, and pricing, along with developer marketing across benchmarks, technical content, and blog.
• Translate benchmarks and pricing data into clear, credible narratives that hold up with technical buyers.
• Build sales enablement, including decks, one-pagers, and cost and ROI narratives.
• Partner with Product and Forward Deployed Engineering to keep messaging aligned with the roadmap and the field.
• Measure the website and content as growth surfaces and act on what moves signups and adoption.

Required Qualifications

• 6+ years of experience in product marketing for a technical, developer, or cloud product, ideally a consumption or as-a-service offering.
• Proven experience owning positioning, pricing narrative, and product launches that measurably moved adoption.
• Experience planning and writing marketing or product websites, including structure, content, and messaging.
• Exceptional writing skills, with the ability to turn performance and pricing data into crisp, credible positioning.
• Ability to direct a designer and ship web work collaboratively, without owning the visual design.
• Strong grasp of competitive positioning and pricing in a technical or infrastructure market.
• Fluency in both English and Korean, with strong writing in both.
• Bachelor's degree or equivalent practical experience.

Preferred Qualifications

• Experience at a high-growth SaaS, developer platform, or cloud infrastructure company.
• Experience marketing usage-based or API-based products and understanding how developers evaluate and adopt them.
• Working knowledge of the AI and ML inference market and the open-model landscape.
• Experience running a marketing website as a living product, including experimentation and conversion optimization.
• Fluency with AI tools and a CMS to produce content and iterate on the site at speed.

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.