At Skillsoft, we believe skills fuel growth. Our mission is to empower every organization and every learner to turn constant change into continuous growth. As part of the team, your skills will help organizations understand what skills they have, what they need next, and how to apply them in ways that drive real performance and progress. Global Knowledge is seeking an experienced Senior Instructor to represent Global Knowledge whilst delivering high quality education in accordance with vendor-specification, and to the quality standards documented in Global Knowledge's quality procedures. As a Trainer/Instructor, you will have the opportunity to provide sales support where necessary, keep abreast of technology and industry changes and feedback delegate’s sales leads in a timely fashion. Responsibilities - ​Become qualified and authorized to deliver assigned training courses prior to first delivery, ensuring the appropriate vendor process is followed. - Deliver training courses as specified by the course vendor and in consultation with designated scheduling manager, as well as to the required quality standards as detailed in Global Knowledge’s quality procedures. - Adhere to vendor-specific requirements including but not limited to obtain / renew certificates and following required examination and invigilation guidelines. - Pursue agreed development plans and ensure that preparation time and team assessments are utilized to achieve these plans. - Attain the required standards in transfer of technical skills and delivery techniques. - Deliver courses at all Global Knowledge centers and customer sites when required. - Keep abreast of industry and vendor technology, exam and certification guidelines, distributing information to colleagues where applicable. - Provide sales support in the form of solutions design and customer visits. - Responsive to contact requests, information and customer enquiries. - Manage the classroom to optimize training experience. - Work closely with the designated scheduling manager to ensure that Trainer/Instructor utilization meets or exceeds the company requirements. - Represent the Global Knowledge values, demonstrating a can do and positive attitude at all times. - Establish, build and maintain positive relationships and communication channels with all operational team members. - When not on our platform delivering training, you will work with sales and product management, providing sales support and customer engagement, respond to all operational, sales and customer requests within allotted time-scale and attend, where necessary vendor Train the Trainers and be prepared to redeliver to all full time employee Trainer/Instructors as and when required. - Represent yourself and Global Knowledge at conference and CPD opportunities Skills & Qualifications Required - 5+ years of professional experience in training facilitation in corporate environments - Ability to travel to customer sites locally and internationally to deliver face to face facilitated sessions - Have a dedicated workspace at home to be able to deliver virtual classes for a proportion of your time - Possess a commitment to keep up-to-date with IT trends and developments - Excellent verbal and written communication skills, effective planning and organizational skills; project management skills; and the ability to work under pressure and to deadlines - Fluent in the English language Preferred Skills & Experience - Practical experience of technical capabilities linked to accreditations - Vendor certifications with significant experience in a similar role MORE ABOUT SKILLSOFT:Skillsoft (NYSE: SKIL) is a global leader in AI-native skills management for the human + AI era. By unifying learning, real-time skills intelligence, and workforce insights, Skillsoft helps enterprises build their Skillforce™ — humans and AI working together to drive measurable business outcomes. Through personalized, interactive learning across leadership, technology, and compliance, Skillsoft enables organizations to close critical skill gaps and accelerate transformation. Skillsoft is trusted by thousands of organizations worldwide, including 60% of the Fortune 1000, and supports a global community of more than 105 million learners. Learn more at skillsoft.com. Thank you for taking the time to learn more about us. If this opportunity intrigues you, we would love for you to apply! NOTE TO EMPLOYMENT AGENCIES: We value the partnerships we have built with our preferred vendors. Skillsoft does not accept unsolicited resumes from employment agencies. All resumes submitted by employment agencies directly to any Skillsoft employee or hiring manager in any form without a signed Skillsoft Employment Agency Agreement on file and search engagement for that position will be deemed unsolicited in nature. No fee will be paid in the event the candidate is subsequently hired as a result of the referral or through other means. Skillsoft is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information, and other legally protected categories.

• Build a Python-based service to pull data from the HubSpot API • Develop and maintain ingestion pipelines to move data reliably into BigQuery • Transform raw API responses into clean, structured tables following our internal data layers • Connect your datasets to Metabase and build foundational dashboards for internal stakeholders • Write clear technical guides and data dictionaries for the new integrations

Role Description The Tech Lead — AI Platform is the senior technical leader for the platform runtime, AI engine, and agent-orchestration tier of an AI-native retail decisioning platform. The role is accountable for architectural integrity, build vs buy decisions, integration with upstream data and knowledge-graph services, and the agent runtime's safety and scale properties — and leads a team of senior software, AI, and ML engineers. Remote candidates outside of Thailand are welcome to apply. - Own the reference architecture for the platform's runtime, decisioning, and agent-execution tiers; co-chair the Architecture Review Board; author Architecture Decision Records. - Design, build, and operate the agent runtime (LangGraph, CrewAI, or chosen framework) — deployment, scale, observability, cost per invocation. - Design and ship an agent autonomy framework with progressive trust levels (shadow / recommender / executor patterns) and measurable gate criteria; operationalise human-in-the-loop patterns for every agent. - Own the agent registry — catalogued, versioned, owned, gated, monitored agents. - Define and operationalise the consumption contract with upstream knowledge-graph, semantic-layer, data-product, and event-stream services from the platform team. - Lead the AI-side decisioning components — orchestrator, trust gate service, agent-side helpers — and coordinate consumption of LLM Gateway and Vector Search services. - Lead a team of senior software, AI, and ML engineers; mentor on agent-engineering discipline; partner with peer Tech Leads on handoffs into application and experience layers. - Own runtime SLOs — invocation P95, success rate, HITL response time — and per-agent cost meter; lead incident response for runtime degradation. Qualifications - Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline. - 8+ years software engineering with 3+ years in a Tech Lead / Staff role owning platform standards. - Production agentic systems experience — multi-agent orchestration, HITL gates, eval-driven CI; not just RAG demos. - Strong distributed-systems fundamentals — concurrency, message queues, observability, performance. - LLM platform depth — at least one major provider (Azure OpenAI, Anthropic, Bedrock, Vertex) in production with cost / latency optimisation. - API-first design discipline — service contracts, SLOs, versioning, deprecation policies. - Cloud platform experience (Azure preferred; AWS / GCP transferable). - Architectural authorship — has written ADRs, chaired ARB, made build-vs-buy calls with executive sponsors. Preferred Qualifications - Built or led a production multi-agent platform serving multiple business consumers. - Open-source agent framework contributions (LangChain / LangGraph / AutoGen / DSPy). - Retail / commerce / fintech domain experience; knowledge-graph production experience (Neo4j, Neptune, TigerGraph). - Causal inference exposure (DoWhy / EconML).

Role Description The Head of Retail AI Platform is the senior leader accountable for an AI-native retail decisioning platform end-to-end — strategy, roadmap, delivery, team, governance, and commercial outcome. The platform delivers a portfolio of product suites and agents to merchandising, supply chain, finance, supplier collaboration, and executive-insight users, operating a multi-million-baht programme with a senior engineering team. Remote candidates outside of Thailand are welcome to apply. - Own the platform roadmap end-to-end — phased multi-release delivery, suite sequencing, agent prioritisation, budget vs scope; resolve open strategic and architectural decisions on documented timelines. - Run the platform operating model — Steering Committee, Architecture Review Board, AI governance reviews, cost review, data-product contracts review — with executive sponsors and peer technology directors. - Lead phased multi-release delivery across an 18–24-month horizon — foundation launch, supplier-collaboration suite, retail-operations and executive-insights suites, then commerce-intelligence suite — each with measurable commercial outcomes. - Lead recruitment of the engineering leadership team and the broader IC team; set engineering culture (domain-driven design, agent-native, retail-specific, human-in-the-loop by default). - Own the peer-platform interface — data platform / engineering / governance — operationalise the service contracts (LLM gateway, knowledge graph, data products) and resolve scope-overlap escalations. - Chair governance for agent autonomy progression (shadow / recommender / executor patterns) with measurable criteria and stakeholder sign-off. - Own the commercial narrative with executive sponsors — quarterly business review, ROI tracking, budget burn, run-cost trajectory; defend the platform to the CFO office. - Manage risk — capital exposure on build vs buy, vendor lock-in, regulatory exposure, delivery slippage — with a documented register and clear mitigations. Qualifications - Bachelor's or Master's degree in Computer Science, Engineering, Business, or a related discipline. - 12+ years in software / data / AI engineering with 5+ years in a senior leadership role (Director / Head / VP) accountable for product delivery and team P&L. - Shipped AI-native products at scale — agentic systems, ML platforms, decisioning engines, or comparable — with demonstrable commercial outcomes, not just demos. - Strong technical depth in at least one of: agent runtimes (LangGraph, CrewAI, AutoGen), LLM platforms, classical ML deployment at scale, lakehouse architectures, knowledge graphs. - Programme governance experience — chairing steering committees, presenting to executive sponsors, managing capital budgets at the tens-of-millions scale. - Built and retained engineering teams at 20+ FTE scale in Southeast Asia. - Cross-functional partnership — has navigated peer-platform organisations, Legal / DPO, InfoSec, CFO office. - Excellent written and verbal communication; speaks finance, technology, and business with equal credibility. Preferred Qualifications - Retail technology background — POS, replenishment, merchandising, loyalty, supply chain. - Regulated-AI experience (banking, healthcare, public sector); multi-cloud or hybrid production environments. - Open-source platform leadership; public speaking / thought leadership in AI or agentic systems. - Executive education in AI strategy or digital transformation (MIT Sloan, INSEAD, Stanford or comparable).