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About BTSE: BTSE Groupis a global leader in fintech and blockchain technology, anchored by three core business pillars: Exchange, Payments, and Infrastructure Development. Serving over 100 corporate clients worldwide, we provide white-label exchange and payment solutions. Our offerings encompass everything from exchange infrastructure hosting and development to custody, wallets, payments, blockchain integration, trading, and more.We are looking for talented professionals in marketing, operations, customer support, and other departments. The roles offered may be on-site, remote, or hybrid, in collaboration with our local partner. About the Opportunity: As the AI Business Strategy Manager, you will be the primary architect of BTSE’s transformation into an AI-first organization. Reporting directly to the Head of Operations, you will bridge the gap between high-level strategic vision and technical execution.Responsibilities Strategic Roadmap Ownership: Architect and lead the enterprise AI implementation strategy, ensuring every initiative is purpose-built to meet 2026 goals for platform protection and operational excellence. Departmental Advisory: Partner with the Heads of Operations and other department heads to diagnose workflow friction and design autonomous, "Agentic" solutions that streamline cross-functional output. AI Performance Governance: Establish and own the framework for AI ROI by defining and tracking high-stakes KPIs, including Token Efficiency, HITL (Human-in-the-Loop) reduction, and Automated Resolution Accuracy. Security Risk Collaboration: Co-engineer AI-driven defense layers with the Security team to proactively neutralize platform threats, specifically targeting anti-bot measures and mass-registration blocking. Technical Architecture Design: Translate high-level strategic designs into scalable technical assets, including robust API integrations, standardized prompt libraries, and MCP (Model Context Protocol) servers. Operational Excellence: Oversee the end-to-end lifecycle of AI deployments to ensure designs are not only innovative but also functional, secure, and seamlessly integrated into the enterprise ecosystem. Requirements A proven track record in AI strategy, demonstrating a clear evolution from early LLM applications to sophisticated RAG (Retrieval-Augmented Generation) and Agentic Workflows. Deep experience in high-growth Fintech or Crypto environments, with a demonstrated ability to scale operations while maintaining rigorous security standards. While business-led, you are fluent in the "language of engineering," comfortable discussing API orchestration, Vector Databases, and Model Context Protocols (MCP) with technical teams. A sophisticated influencer capable of navigating complex organizational structures to lead departments through the cultural and technical shifts of AI adoption. Professional fluency in English is essential; proficiency in Chinese is highly advantageous to facilitate seamless communication across our global teams. A data-driven mindset with the ability to translate technical performance metrics into clear business outcomes and executive-level insights. Perks Benefits Competitive compensation package Various team-building programs and company events Comprehensive healthcare schemes for employees and dependants And many more! Apply and let us tell you more! #LI-PP1

About BTSE: BTSE Group is a global leader in fintech and blockchain technology, anchored by threecore business pillars: Exchange, Payments, and Infrastructure Development. Servingover 100 corporate clients worldwide, we provide white-label exchange and paymentsolutions. Our offerings encompass everything from exchange infrastructure hostingand development to custody, wallets, payments, blockchain integration, trading, andmore.We are looking for talented professionals in marketing, operations, customer support,and other departments. The roles offered may be on-site, remote, or hybrid, incollaboration with our local partner. About the opportunity: We're building an AI-powered research platform for institutional investors. Our platform turns vast amounts of market, alternative, and proprietary data into actionable intelligence — powered by AI agents that depend on clean, reliable, real-time data to do their job. We need someone to own data. Not manage a team that does data. Own it — from finding the right sources, to getting them flowing, to making sure they stay healthy at scale. Today we ingest from hundreds of sources. That number is growing fast. The sources are diverse: real-time market feeds, regulatory filings, on-chain blockchain data, news, social sentiment, alternative datasets, and proprietary client data. Some are free APIs. Some are $10K/month enterprise contracts. Some are clients pushing their own data into our platform. Every one of them is different, and most of them will break in ways you don't expect. You'll evaluate vendors, negotiate deals, build integrations, monitor quality, track costs, and make the call on what's worth paying for. When something breaks at 2 AM, you'll know why before the alert finishes firing. This is an end-to-end ownership role. No handoffs.ResponsibilitiesBuild and maintain integrations with a large and growing number of external data sources — APIs, WebSockets, file drops, streams, scrapers, and formats you haven't seen yet Evaluate and compare data vendors across quality, reliability, coverage, cost, and terms of service Negotiate contracts and manage commercial relationships with data providers Design and operate high-throughput ingestion pipelines handling mixed workloads (real-time, near-real-time, batch, event-driven) Build monitoring that tells you — before anyone else — when data is late, wrong, incomplete, or drifting Manage data quality at scale: anomaly detection, cross-source validation, schema drift detection, gap filling Handle both structured data (time-series, tabular) and unstructured data (documents, text, images) with appropriate extraction and storage Track costs per source, usage per consumer, and ROI — recommend what to keep, upgrade, or cancel Build tooling that makes adding the next data source faster than the last one Use AI tools aggressively in your daily work — for code generation, testing, documentation, anomaly analysis, and anything else that makes you fasterRequirements**You've done this before:**- 5+ years building data pipelines that run in production, 24/7, with real SLAs- Deep hands-on experience with SQL databases and time-series data- Python as your primary language, comfortable with async programming- You've integrated with dozens of external APIs and dealt with the reality of unreliable vendors, changing schemas, rate limits, and bad documentation- You've built monitoring and alerting for data systems — not as an afterthought but as part of how you work **You think about the whole picture:**- You don't just connect to an API. You think about what happens when it goes down, when the schema changes, when the data is wrong, when the bill doubles- You understand that data has a cost and a value, and not every source is worth keeping- You've worked with data vendors commercially — contracts, pricing tiers, usage negotiations **You use AI daily:**- AI coding tools are part of your workflow today, not something you're curious about- You can articulate specifically how AI makes you faster and where it doesn't help- You'd be frustrated if you couldn't use AI in your workNice to haveExperience with financial or crypto market data Experience with streaming systems (Kafka or similar) at scale Vector database or embedding pipeline experience Experience with unstructured data extraction (PDFs, documents, NLP)Perks BenefitsSenior individual contributor role with full ownership of the data domain Direct access to leadership — no bureaucracy, fast decisions AI tools provided and encouraged across all work Remote-friendly, async-first Compensation commensurate with experience#LI-MC1