Overview

Position: Product Manager - AI Labeling Operations

Reports to:

Founder/COO

Working period: Immediate start date 

Expected hours: Onsite in HCMC D1 Mon - Fri from 9am

https://reforgedlabs.com/

Company / Organization overview

Reforged Labs

is an AI-driven creative intelligence platform dedicated to helping mobile apps and game developers grow by solving their toughest user acquisition and advertising challenges. Backed by a strong team of builders, creators, and researchers from leading tech backgrounds, the company harnesses advanced AI to accelerate creative experimentation and deliver actionable insights that boost growth and performance.

Founded in 2023 and supported by a $3.9M seed round, Reforged Labs aims to redefine how digital products scale by combining artificial intelligence with human creativity.

With a dynamic team from Google, Microsoft, Apple, and Harvard, and backing from world-class investors, including Y Combinator, co-founder of King, and executives from Niantic and Pocket Gems, Reforged Labs is redefining the possibilities of advertising technology.

Scope of work

We’re looking for a sharp Product Manager

to own our labeling and quality operations. This role is hands-on and judgment-heavy. You’ll design testing workflows, train and manage the labeling team, and set the standards others follow.

If you’re detail-obsessed, extremely fluent in English, and comfortable making decisions at scale, this role is for you.

Roles and responsibilities

• Own the labeling product and quality process end-to-end
• Supervise and review the work of labelers and QC reviewers
• Set up and manage test environments
• Write and maintain clear labeling guidelines
• Ensure labeling is accurate and consistent

Qualifications

• Extreme attention to detail and consistency
• Comfortable with repetitive content while maintaining quality
• Can work independently and take ownership
• Excellent verbal and written communication skills
• Self-starter who can proactively identify problems  and propose solutions
• Tech, data, or product background
• Experience with labeling, QA, moderation, or operations
• Experience writing SOPs or guidelines

What we offer:

• Opportunity to work at the forefront of AI technology
• Direct impact on product quality and scale
• Office lunch, snacks, and company swag

Process

The interview process consists of:

Home Assignment

Candidates are required to complete a system-based home assignment as the first screening step. 

The assignment focuses on assessing your English language proficiency, attention to detail, and sound judgment, which are critical for this role. Candidates should show that they have a systemic and repeatable strategy to approach repetitive or similar labels; maintaining consistency in labeling and evaluation is an important part of the assessment.

The assignment may take several hours to complete.

Candidates must submit the test within 48 hours

of receiving the test link.

Remote Interview

Candidates who successfully pass this round proceed to a 30 minute interview with the COO.

Offer