National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Market Development Manager, FSC Thailand

FSC Global Development GmbH
5 months ago
Applications closed

Related Jobs

View all jobs

Sr Business Development Manager, Advertising Measurement and Data Science (MADS), Amazon Advertising

Machine Learning Engineering Manager (London)

Pricing Product Manager

Data Analytics Manager

Technical Pricing Manager

Business Data Analyst

The Scope

FSC Asia Pacific is seeking aMarket Development Manager for FSC Thailand. The chosen candidate will officially represent FSC Thailand for internal meetings and external engagements and will be based in Bangkok. Responsibilities include initiating and leading market engagement projects and activities in collaboration with stakeholders and team members in Thailand, the Asia Pacific region, and internationally. The selected candidate will work closely with and report to the Regional Director of FSC Asia Pacific.

Main Roles & Responsibilities

Market Development:

  • Plan market development strategy for FSC in Thailand 
  • Understand, analyze, and identify opportunities to grow FSC in relevant value chains. 
  • Identify relevant opportunities for topics and events to promote FSC presence within the country. 
  • Lead market development for FSC in Thailand in collaboration with the APAC regional team. 
  • Organize and implement activities and events, including budget planning, implementation, monitoring, and evaluation for adaptive management. 
  • Promote the FSC certification programs to stakeholders in Thailand.

 
Stakeholder engagement:

  • Offer crucial assistance and valuable guidance to stakeholders, specifically FSC certificate holders and FSC Promotional License Holders.
  • Take charge of organizing and promoting workshops, seminars, and events in collaboration with engaged stakeholders and partners.
  • Coordinate and actively engage with stakeholders involved in FSC international membership' activities.

 
Marketing and communications:

  • Handle inquiries related to FSC certification and Trademark services.
  • Identify essential needs and seize opportunities for multi-communications campaigns, while actively monitoring local news and media coverage related to FSC. 
  • Coordinate content to be available in the local language for interested stakeholders, among other responsibilities.
  • Develop and take charge of the FSC stakeholder database in Thailand.

Your profile

Education and Training

  • University degree in marketing, forest economics, communications, or equivalent.
  • Minimum of 5 years of working experience relevant to the role and responsibilities of the position.

 
Working Experience, Style and Skills: 

  • Good level of knowledge and understanding of the forest product value chain.
  • Ability to work independently with a positive attitude. 
  • Professional experience in the following areas is an advantage: forestry, sustainability supply chain, market development, forest business, commodity and trading, project management, communication, stakeholder engagement.
  • Strong analytical and problem-solving skills in adaptive management and planning.
  • Familiar with FSC programs, certification systems, and standards. 
  • Proficient in using standard productivity software and applications, including MS Office suite.
  • Knowledge of big data analysis and AI tools for marketing is a plus.
  • Ability to work in a multi-cultural environment. 

 
Language & Communication Skills: 

  • Fluency in English and Thai (spoken and written). 
  • Effectively communicating with stakeholders, including the media, is a considerable advantage).

Why us?

  • Be part of a globally recognized organization at the forefront of sustainable forestry and contribute to the mission to help protect the world’s forests. 
  • Play an active role in the FSC global community of 300+ forest stewards.
  • Benefit from cross-cultural collaboration and networking opportunities.

The Fine Print

  • Location: Bangkok Thailand 
  • Working Hours: Full time - 40 hours per week.
  • Duration of Engagement: 2 year contract. 
  • Starting Date: As soon as possible.
  • Travel: Occasional domestic travel is required, as well international travel.

About us

Welcome to FSC! 
 
The Forest Stewardship Council (FSC) is a globally recognized non-profit organization at the forefront of promoting sustainable forestry. With over 150 million hectares of certified forests and a trusted reputation among NGOs, consumers, and businesses, FSC is leading the way in ensuring the long-term health and resilience of the world’s forests.       
          
<iframe width="560" height="315" src="https://www.youtube.com/embed/908JaAbtIp4?si=zrhmNp_0q7vyf-7l" frameborder="0"></iframe>

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.