AI Jobs in Web3

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Job Position Company Posted Location Salary Tags

Binance

Hong Kong, Hong Kong

Tether

Madrid, Spain

$115k - $138k

Zscaler

Remote

$164k - $235k

Tether

Seoul, South Korea

$126k - $156k

Tether

Madrid, Spain

$90k - $150k

Tether

BE Berne CH

$126k - $156k

Tether

ZH ZĂĽrich CH

$126k - $156k

Tether

Dubai, United Arab Emirates

$126k - $156k

Tether

Munich, Germany

$126k - $156k

Tether

Abu Dhabi, United Arab Emirates

$126k - $156k

Tether

London, United Kingdom

$126k - $156k

Tether

Bangalore, India

$126k - $156k

Tether

Beijing, China

$126k - $156k

travoom

Austin, TX, United States

$112k - $120k

Zscaler

Remote

$126k - $127k

AI Product Manager

Taiwan, Taipei / Hong Kong / Asia
Product & Design – Product /
Full-time: Remote /
Hybrid

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Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 280 million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.

Responsibilities:

    • Collaborate with cross-functional teams to identify and prioritize opportunities for AI-driven improvements in internal operations and user-facing experiences such as crypto trading and portfolio analysis.
    • Define product goals and roadmap for AI-powered features that enhance efficiency, insights, and user experience.
    • Conduct user research, gather feedback, and translate insights into clear product requirements.
    • Work closely with engineers to design, develop, and refine AI solutions.
    • Monitor product performance and user engagement, using data to guide continuous improvements.
    • Keep up with the latest AI technologies and industry trends to drive product innovation.

Requirements:

    • Bachelor’s degree or above in Computer Science, Data Science, Business Analytics, Quantitative Finance, or a related field.
    • 4+ years of experience in product management, preferably in AI, data, or fintech-related products.
    • Understanding of AI models (e.g., GPT, LLMs) and their practical applications.
    • Strong analytical and communication skills, with the ability to work effectively across technical and business teams.
    • Proactive, detail-oriented, and passionate about creating user-centric AI products.
Why Binance
• Shape the future with the world’s leading blockchain ecosystem
• Collaborate with world-class talent in a user-centric global organization with a flat structure
• Tackle unique, fast-paced projects with autonomy in an innovative environment
• Thrive in a results-driven workplace with opportunities for career growth and continuous learning
• Competitive salary and company benefits
• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)

Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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What an AI Developer does?

An AI developer is someone who creates and builds artificial intelligence systems

Their responsibilities may include designing and implementing algorithms, creating and training machine learning models, and deploying AI systems to solve practical problems

Additionally, they may be responsible for maintaining and improving existing AI systems, as well as collaborating with other teams or individuals to integrate AI technology into larger systems.