Position overviewPosted 1 month ago

Analyst, GenAI Marketing

Agoda →
Full-time2-4 years

Bangkok, Thailand

Compensation
THB 60,000 - THB 100,000
THB / month

Estimated range. Confirm compensation with the employer.

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Listing record updated: September 5, 2026. We archive records after 60 days without an update. This date does not confirm that the employer is still hiring.

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About the position

You will operate at the intersection of Marketing, data, product development, and generative AI. This role involves identifying high-value workflows, translating business problems into clear product requirements, and developing solutions using SQL, Python, and generative AI technologies. You will work directly with data and AI tools to understand user workflows in detail and take ownership of delivering measurable outcomes. The team focuses on a small number of high-impact initiatives, including experiment analysis, business reporting, campaign operations, and SEO/AEO content workflows.

You will partner with developers and Marketing teams to turn successful prototypes into reliable products. This includes designing evaluation frameworks, leading user research and pilots, and driving rollout and adoption. You will measure the impact of these products on employee productivity, output quality, and business outcomes. The role requires a strong sense of ownership and the ability to collaborate effectively across Marketing, Analytics, Product, and Technology teams.

Responsibilities

  • Identify recurring Marketing workflows where AI can materially improve speed, quality, scalability, or decision-making.
  • Quantify each opportunity by establishing its current effort, pain points, user base, and potential business value.
  • Translate business needs into clear product requirements, user journeys, milestones, and measurable success criteria.
  • Build and test prototypes using SQL, Python, automation tools, and generative AI technologies.
  • Partner with developers and Marketing teams to turn successful prototypes into reliable products.
  • Design evaluation frameworks covering output accuracy, reliability, usability, safety, and appropriate human review.
  • Lead user research, pilots, and iterative testing with analysts and channel specialists.
  • Drive rollout, documentation, training, and adoption in partnership with sponsoring teams.
  • Measure hours saved, improvements in turnaround time and quality, adoption levels, and downstream business impact.
  • Maintain a prioritized portfolio of Marketing AI opportunities and communicate progress to senior stakeholders.
  • Monitor developments in AI capabilities and identify when existing products should be improved or retired.
  • Contribute reusable tools, standards, and playbooks to help Marketing teams build AI-enabled workflows independently.

Requirements

  • 2–4 years of relevant experience in analytics, product analytics, marketing strategy, business operations, consulting, product management, or a related field.
  • Bachelor’s degree or higher in a quantitative, technical, or business discipline such as computer science, engineering, mathematics, statistics, economics, or finance.
  • Strong SQL skills and experience working independently with large or complex datasets.
  • Hands-on experience with Python, scripting, workflow automation, or similar technical tools.
  • Experience defining hypotheses, designing experiments, and translating results into actionable business recommendations.
  • Strong product thinking, including the ability to understand user problems, define requirements, and make pragmatic scope and prioritization decisions.
  • Ability to break ambiguous problems into structured workstreams and move rapidly from analysis to execution.
  • Strong written and verbal communication skills in English.
  • Experience influencing stakeholders and communicating complex concepts clearly to both technical and non-technical audiences.
  • A strong sense of ownership, attention to detail, and commitment to delivering high-quality, dependable solutions.
  • Ability to collaborate effectively across Marketing, Analytics, Product, and Technology teams.
  • Experience building GenAI applications, AI agents, or automated analytical workflows.
  • Familiarity with prompting, retrieval-augmented generation, APIs, model evaluation, and human-in-the-loop workflows.
  • Experience using AI-assisted development tools such as Codex, Cursor, Claude Code, or Google AI Studio.

Nice to have

  • Experience writing product requirements, managing a product backlog, or taking an internal product from prototype to scaled adoption.
  • Knowledge of digital marketing, performance marketing, experimentation, SEO/AEO, campaign operations, or personalization.
  • Experience establishing quality-assurance and monitoring processes for data or AI products.
  • Experience deploying internal tools or working closely with software engineers on production systems.

Hiring Process

1. Application Review

2. Interview Process

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