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Role Overview
We are looking for a data-driven and commercially minded Growth Manager to drive user acquisition, activation, and retention for Binance in Australia.
This role goes beyond performance marketing — it is about building sustainable, compliant growth engines in a market where trust, regulation, and user education are critical.
You will own the end-to-end growth funnel, from first touch to active trader, while balancing efficiency, brand, and regulatory constraints.
Own the Full Growth Funnel
Drive performance across:
Acquisition (new users)
Activation (KYC → first trade)
Retention (repeat usage)
Identify drop-offs and optimize conversion at every stage
Build and continuously refine AU-specific growth playbooks
Performance Marketing & Channel Optimization
Manage and optimize key channels:
Paid media (Google, Meta, programmatic)
Affiliates & referral programs
SEO / landing page optimization
Work closely with global teams to adapt strategies to AU constraints
Focus on quality users, not just volume
Campaign Strategy (Compliance-First)
Design campaigns that drive growth while staying within:
Regulatory requirements
Internal compliance guidelines
Shift away from “hype-led” campaigns → value-led, education-driven growth
Develop localized messaging that builds trust and credibility
Data, Insights & Experimentation
Own key growth metrics:
CAC
Conversion rates (KYC, first trade)
Retention / activity rates
Run structured experiments (A/B testing, funnel optimization)
Translate data into clear, actionable insights
Product & Cross-Functional Collaboration
Work closely with:
Product teams (UX, onboarding flows)
PR & brand (message alignment)
Community & events (offline → online conversion)
Ensure growth efforts are fully integrated, not siloed
Local Market Intelligence
Develop deep understanding of:
Australian user behavior
Competitive landscape (local exchanges, fintech apps)
Banking/payment constraints
Be the local voice of the user in growth decisions
Experience
4–7+ years in growth, performance marketing, or product marketing
Strong experience in Australia market
Experience in crypto, fintech, or high-growth tech companies preferred
Proven ability to manage full-funnel growth, not just top-of-funnel
Skills
Strong analytical skills (comfortable with data, dashboards, attribution)
Hands-on experience with paid media & growth tools
Understanding of conversion optimization & user psychology
Ability to balance short-term performance vs long-term brand
Mindset (Critical for AU Market)
Pragmatic, not hype-driven
Thinks in systems and scalable growth loops
Strong judgment in a regulated / sensitive environment
Comfortable operating with constraints and ambiguity
High ownership — acts like a business owner, not a channel manager
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Role Overview
We are looking for a hands-on, entrepreneurial Marketing Manager to lead events and community growth in Australia.
This role is critical in rebuilding brand trust, local presence, and grassroots engagement for Binance in Australia. You will design and execute high-impact, compliant, and culturally relevant experiences that bring the brand closer to users — from intimate community meetups to large-scale activations.
You are someone who understands that in today’s environment, community = credibility, and every touchpoint matters.
Event Strategy & Execution
Plan and execute end-to-end events:
Community meetups
Educational workshops (Crypto 101, investing basics)
Partner activations
Pop-ups / experiential campaigns
Own the full lifecycle: concept → vendor sourcing → execution → post-event reporting
Ensure all events are fully compliant with local regulations and internal policies
Develop “low-hype, high-trust” event formats aligned with current market sensitivity
Community Building & Engagement
Build and nurture a loyal local community (online + offline)
Identify and manage key community leaders / micro-KOLs
Create programs that encourage organic advocacy (not just incentives)
Own local channels (Telegram, Discord, meetups) with a strong brand voice and consistency
Brand & Reputation Rebuild (Critical)
Translate global brand into locally relevant, trust-driven messaging
Lead initiatives that position Binance as:
Responsible
Compliant
User-first
Partner with PR to ensure alignment between events, messaging, and media narrative
4. Partnerships & Local Collaborations
Identify and execute partnerships with:
Universities
Web3 communities
Finance / investment groups
Lifestyle / culture spaces (cafés, co-working, etc.)
Build credible local alliances to strengthen brand perception
Performance Tracking & Optimization
Track key metrics:
Event attendance & conversion (KYC, activation)
Community growth & engagement
Cost per acquisition (where applicable)
Continuously refine formats based on what actually works locally
Experience
4–7+ years in events, community, or brand marketing
Experience in Australia market is a must
Background in crypto, fintech, or startup environment preferred
Proven track record of executing high-quality, well-attended events
Skills & Mindset
Execution-first: You get things done, not just plan
Strong understanding of Australian culture and audience behavior
Ability to operate in a highly regulated, sensitive environment
Excellent stakeholder management (agencies, vendors, partners)
Comfortable working in a lean / rebuilding team setup
Personality Fit (Important)
Grounded, practical, and not hype-driven
High ownership — acts like a local market owner
Strong judgment on what not to do (especially in current climate)
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About the Role
We are looking for a skilled and motivated DevOps Engineer with experience in deploying and managing blockchain infrastructure, as well as in-depth knowledge of AWS, Kubernetes (EKS), and CI/CD pipelines. The successful candidate will be instrumental in automating and maintaining our infrastructure to enable secure and scalable blockchain-based solutions.
A minimum of 1 year experience in DevOps, Cloud Engineering, or a related field.
Solid hands-on experience with AWS services such as EC2, VPC, IAM, S3, and infrastructure-as-code tools like CloudFormation or Terraform.
Practical experience with Kubernetes, particularly with managed services such as EKS.
Proficiency in scripting languages such as Bash, Python, or Go.
Familiarity with monitoring and logging tools, along with system performance tuning.
Bilingual English/Mandarin is required to be able to coordinate with overseas partners and stakeholders.
Practical experience leveraging AI models and tools to address real-world workplace challenges, enhancing both efficiency and deployment quality.
Strong enthusiasm for discovering and integrating emerging technologies into daily workflows to foster innovation and drive continuous operational improvement.
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About the Role
As a Data Scientist on our team, you’ll be at the forefront of safeguarding Binance’s ecosystem by leveraging data to detect anomalies, assess threats, and predict potential risks across the platform. Our mission is to build intelligent, scalable systems that proactively identify fraud, prevent abuse, and ensure the integrity of user activity without compromising on performance or user experience. Join us in building a safer, smarter crypto future.
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About the Role
This internship is part of Tech Seeds 2026 — our program to identify and develop AI-native young talent. As an Applied AI Agent Engineer intern, you will take on a hands-on builder role at the intersection of LLMs and production systems, working alongside full-time engineers on agent workflows, tool integrations, backend services, and AI system architecture from day one.
This is not a shadowing role. You will own deliverables, run experiments, and ship code that matters.
What Makes You a Fit for Tech Seeds 2026
You are curious, proactive, and builder-minded. You already experiment with AI tools on your own, learn quickly, and want to turn AI ideas into practical systems that work in the real world.
Support the design and development of AI agent workflows and LLM-powered application components
Build and test prompt strategies, retrieval flows, tool-use logic, orchestration patterns, and backend integrations
Assist in defining evaluation metrics, running benchmarks, and analyzing failure cases
Improve system performance across quality, latency, reliability, safety, and cost
Use AI coding tools as a normal part of your workflow to accelerate development and problem-solving
Collaborate with engineers and cross-functional teams to understand how production AI systems are designed, deployed, and improved
Contribute to backend services, APIs, internal tools, or lightweight user interfaces when needed
Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or a related field
Expected graduation in 2026 or 2027
Solid programming skills in Python or Java; familiarity with backend engineering is preferred
Good problem-solving ability and comfort working with APIs, debugging, and data
Strong curiosity about LLMs, AI agents, automation, and real-world system design
Ability to break down ambiguous problems and move from idea to working prototype
Comfortable learning quickly and working in a fast-moving environment
Available for a 6-month full-time commitment
Personal projects or coursework involving LLM applications, agent systems, automation, or AI-assisted development
Familiarity with OpenAI APIs, Anthropic APIs, Hugging Face, LangChain, vector databases, or workflow tools
Experience with Git, databases, backend services, or cloud platforms
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- 7+ years of Java development experience, 5+ years of Spring Boot development experience.
- Experience in developing and integrating AI agents and skills, including building intelligent conversational agents and task automation components within Java-based microservices.
- Proficient in applying Model Context Protocol (MCP) to manage AI model interactions and context-aware data exchange in distributed systems.
- Strong understanding of AI concepts such as natural language processing (NLP), computer vision, and data-driven decision making, with the ability to leverage these in agent and skill development to optimize business processes and enhance system intelligence.
- Familiar with Spring Cloud, Hibernate, JPA, and other related technologies.
- Proficient in designing and implementing microservices architecture with experience in distributed systems development.
- Familiar with database technologies such as MySQL, PostgreSQL, MongoDB, and Redis.
- Familiar with CI/CD tools and processes, such as Jenkins and GitLab CI.
- Strong problem-solving and analytical skills, able to complete tasks independently.
- Excellent teamwork and communication skills.
- Experience with cloud services like AWS and Azure is preferred.
- Familiar with and proficient in using components such as Apollo Configuration Center, Kafka Message Middleware, Xxl Job Scheduler, Pinpoint Link Tracking, and Prometheus Monitoring.
- Familiar with TMS (Treasury Management System), especially with experience in financial and global payment-related functionalities.
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About the Role
We are looking for an AI Agent Engineer to join our team as part of Tech Seeds 2026. This is an engineering-first role for someone who wants their work to have real-world impact — not just demos, but agent systems that ship. You will work alongside senior engineers to design and build AI agents, workflows, and internal AI systems that improve our products and operational efficiency. This role is especially suited for candidates who are curious, fast learners, and excited to build practical AI systems in production. Production agent design today is typically centered on clear tool integration, strong instructions, safe execution, and iterative rollout, rather than purely academic model work.
What Makes You a Fit for Tech Seeds 2026
You are self-driven, AI-native, and practical. You learn fast, like solving real problems, and are excited to turn new ideas into working systems. You do not wait to be told every step: you explore, test, iterate, and improve.
Design and build AI agent workflows and LLM-powered systems for real business use cases
Develop and integrate tools for agents, including APIs, internal services, databases, knowledge sources, and operational systems
Improve agent quality, latency, reliability, safety, and cost through testing, evaluation, and iteration
Build prompt structures, orchestration logic, memory or retrieval patterns, and human handoff flows where needed
Collaborate with product, business, and operations teams to translate ambiguous business problems into practical AI solutions
Contribute to backend services, internal platforms, and lightweight interfaces to support end-to-end delivery
Help define reusable engineering patterns, guardrails, and evaluation approaches for production AI agents
Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, Mathematics, or a related field
0–3 years of software engineering, AI engineering, or relevant internship/project experience
Strong programming fundamentals in Java or Python, TypeScript, or backend development is a plus
Good software engineering judgment, including APIs, debugging, system design, and data handling
Strong curiosity about LLMs, AI agents, tool use, retrieval, evaluation, and production AI systems
Ability to learn new domains quickly and work effectively in ambiguous environments
Ability to read, understand, and improve AI-generated code, or learn to do so very quickly
Good communication skills and the ability to connect technical work to business value
Personal projects, hackathons, or internships involving LLM apps, AI agents, RAG, automation, or internal tools
Familiarity with OpenAI APIs, Anthropic APIs, vector databases, agent frameworks, or orchestration tools
Experience with backend systems, cloud environments, observability, or production support
Exposure to fintech, crypto, customer support systems, operations workflows, or risk/compliance processes
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Design, develop, and maintain backend services and APIs for global products using Java.
Build a high-performance, highly available, and secure backend system to provide robust support for Big Data business operations.
Engage in and improve the whole lifecycle of service, from inception and design, through to deployment, operation, and refinement.
Develop and maintain tools, re-designing capacity planning infrastructure for greater scalability.
Troubleshooting, diagnosing, fixing software issues, and ensuring data security, and end-to-end system architecture.
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Soft Skills
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