Top 3 reasons to join us

• Build AI that powers top global gaming studios
• World-class team from Harvard & FAANG
• High salary and bonus with proven market fit

About Us

Reforged Labs is a YC-backed, Sandhill Road funded AI startup revolutionizing how the world's top mobile gaming studios market themselves to hundreds of millions of players. We're building cutting-edge AI technology that powers sophisticated ad analysis and generation pipelines for elite global gaming companies.

We don't follow trends; we set them. Our data infrastructure supports technology that generates millions of dollars in value for our customers, processing billions of gameplay and ad-performance signals in real-time.

The Role

We're seeking an exceptional Senior Data Engineer to join our fast-growing team in Ho Chi Minh City. This is not a role for the average analyst—we're looking exclusively for extraordinary data talent who can compete with the best data engineers and analysts at top-tier companies globally.

As our first data engineer, you'll set the foundation for data-driven decision making across our entire organization. You'll design and implement sophisticated analytics infrastructure that processes terabytes of gaming and advertising data, directly influencing product decisions that impact hundreds of millions of players.

Core Responsibilities

• Define company-wide data strategy: Establish north-star metrics, experimentation frameworks, and analytics standards that will scale from startup to enterprise
• Build world-class data infrastructure: Design and implement pipelines processing billions of ad performance signals and gameplay events with exceptional reliability and speed
• Drive multi-million dollar decisions: Surface insights from massive datasets that directly influence product roadmap and customer strategy
• Own end-to-end analytics: From instrumentation design to executive dashboard delivery, ensuring data quality that leadership can bet the company on
• Lead advanced experimentation: Design and execute sophisticated A/B tests and multivariate experiments that optimize our AI-driven platform
• Establish data excellence standards: Create governance, quality, and best practices that will serve as the foundation for a world-class data team
• Champion data-informed culture: Influence technical and business decisions through exceptional analysis and clear communication

Your Skills and Experience

Required Experience

• 5+ years of elite-level experience in product analytics, growth analytics, or data science at fast-moving tech companies or high-growth startups
• Demonstrated mastery of SQL (MySQL dialect) and Python for complex analysis and ETL workflows
• Proven track record of building instrumentation and analytics for self-serve SaaS or consumer products at scale
• Production experience with modern data stack (dbt, Airflow/Prefect, Looker/Mode, cloud data warehouses)
• History of driving significant business impact through data insights and experimentation
• Expert-level understanding of statistical methods, A/B testing, and causal inference
• Professional English communication skills—both verbal and written

Essential Qualities

• Exceptional problem-solving ability: You consistently find insights others miss and solve complex analytical challenges independently
• Product intuition: You naturally think like a product leader and can translate business questions into analytical frameworks
• Technical excellence: You write clean, maintainable code and build systems that other engineers admire
• Intellectual curiosity: You stay ahead of data trends and continuously expand your analytical toolkit
• High ownership: You take full responsibility for data quality and business impact, not just deliverables
• Leadership mindset: You can influence without authority and drive consensus around data-driven decisions

Nice to Have

• Data engineering background with end-to-end ETL ownership
• Experience with LLMs, vector databases, or recommendation systems
• Background in mobile gaming, ad tech, or marketing analytics
• Advanced statistical methods (Bayesian analysis, sequential testing)
• Contributions to open-source data or ML tools

Why You'll Love Working Here

What We Offer

• Industry-leading compensation package targeting top-tier data talent (significantly above local market rates)
• Unprecedented scope and autonomy as the data voice on the founding team with direct access to founders and strategic decisions
• Work on technology that is genuinely world-class, processing data at scales that compete with the best Silicon Valley companies
• Direct impact on products reaching hundreds of millions of users and generating millions in customer value
• Opportunity for international recognition and career advancement opportunities in the global data community
• Fast-iterating culture with real revenue insights and immediate feedback loops
• Annual offsites and dedicated learning budget for continuous skill development
• Flexible PTO and comprehensive health insurance

Our Data Culture

We operate with a data-first mindset where every major decision is backed by rigorous analysis. Our data infrastructure is built to Silicon Valley standards, combining cutting-edge tools with exceptional talent.

You'll work directly with founders who understand that great data work requires both technical excellence and business acumen. We value independence and ownership—you'll take full responsibility for establishing our data foundation and culture.

Located in Ho Chi Minh City, we've created an environment that combines Silicon Valley data practices with exceptional local talent, offering the unique opportunity to work on global-scale data problems while being part of Vietnam's growing tech ecosystem.

Reforged Labs is an equal opportunity employer and value diversity at our company.

Interview Process

Our streamlined interview process consists of 3 rounds:

Round 1: Initial Technical Screen (60 mins)

• SQL and analytical problem-solving exercise
• Technical background discussion with leadership
• High-level experience and impact review

Round 2: Take-Home Analysis Project (1 week)

• Real-world dataset related to our domain
• Opportunity to demonstrate your analytical excellence comprehensively

Round 3: Project Review & System Design (90 mins)

• Deep dive into your analysis approach and insights
• Data architecture and scalability discussion
• Advanced analytical challenge

Round 4: Final Leadership Conversation (60 mins)

• Vision alignment with founders
• Culture and team fit discussion
• Two-way Q&A about growth opportunities

We aim to complete the entire process within 2-3 weeks.