AI Product Manager (Data & AI Transformation)

About The Lemon Shot

THE LEMON SHOT — CONTENT-LED, FULL-FUNNEL, DIGITAL MARKETING SOLUTIONS. Delivered successful campaigns — With over 1,800 pieces of content and 600M+ views. At THE LEMON SHOT, we harness the power of Creators’ IP to drive cultural influence and business growth. We bridge the gap between Thai creators and global brands & consumers, unlocking their full potential—from storytelling to commerce. Beyond empowering creators, we help brands navigate every stage of the marketing funnel—from awareness to conversion—through creator-led strategies, community engagement, and commerce-driven solutions. Our mission is to build an ecosystem where creators thrive, brands connect, and businesses grow—fueling a new era of impact-driven digital commerce. As a Creator-Led Creative Solution Partner, we take a consumer-first approach, combining insight-driven marketing and full-funnel optimization to connect brands with their audiences. At the same time, we empower creators with revenue opportunities, industry access, and business growth.

About The Role

The AI Product Manager (Data & AI Transformation Lead) is a strategic product builder reporting to the Head of Business Strategy, with alignment to executive leadership. In this role, you will help lead THE LEMON SHOT’s Data & AI initiative, scaling our agency's capabilities with AI-powered solutions and data-driven products.

You will bridge technology, creative production, and business strategy—driving both proprietary platform innovation and operational workflow efficiency. You will oversee the full product lifecycle for internal AI tools and client-facing technology solutions. The ideal candidate combines technical literacy in Generative AI and modern data stacks with strong product sense, commercial acumen, and cross-functional leadership skills.

Key Responsibilities AI Product Strategy & Platform Development

• Automated Content & Creative Optimization: Collaborate with technology partners and internal teams to build and deploy intelligent creative tools that streamline content generation and dynamic campaign personalization.

• Trend & Consumer Intelligence Tools: Develop trend-listening solutions that synthesize social signals and audience data to inform creative and strategic planning.

• Data Architecture & Insights Strategy: Work with data teams to enhance audience insights and create scalable data-driven products for agency partners and clients.

• Product Roadmap & Execution: Define product roadmaps, manage agile sprints, and collaborate with cross-functional teams (Creative, Media, Operations, BI) from concept to rollout.

Operational Automation & Workflow Modernization

• Pitch & Proposal Automation: Design AI-assisted workflows and proposal generators to streamline deck assembly for strategy and business planning teams.

• Campaign Reporting Automation: Implement automated reporting workflows using standard integration tools and analytics platforms to optimize post-campaign analysis.

• Creator Analytics & Scoring: Integrate analytics tools and scoring models to evaluate and match creators with brand campaigns effectively.

• Internal AI Tools & Knowledge Base: Maintain internal AI assistants and knowledge resources to empower client-facing teams with quick access to internal assets and guidelines.

Strategic Tech Partnerships & Vendor Ecosystem

• Vendor Evaluation & Selection: Evaluate global and regional AI/MarTech vendors and foundation model providers to determine fit for enterprise requirements.

• Technical Governance & Security: Lead technical oversight for third-party integrations, ensuring data security, system interoperability, and vendor compliance.

Change Enablement & Human x AI Culture

• Prompting Frameworks & Enablement: Develop internal AI guidelines, reusable prompt libraries, and workshops to upskill team members across functions.

• Adoption & Best Practices: Encourage experimentation and best-practice sharing across teams while identifying adoption bottlenecks and optimizing human-in-the-loop AI processes.

Qualifications

• Professional Experience: 4–7+ years of product management, technical product management, or solution architecture experience within MarTech, AdTech, Media, SaaS, or high-growth digital agencies.

• Proven AI & Automation Fluency: Hands-on experience working with Generative AI APIs (OpenAI, Claude, Gemini, open-source LLMs), prompt engineering, dynamic creative workflows (DCO), and workflow automation platforms (e.g., Make, n8n, Zapier, Python/LangChain frameworks).

• Data & Analytics Acumen: Solid understanding of modern data pipelines, marketing attribution, Business Intelligence architectures (Looker, BigQuery, Snowflake), and digital ad ecosystems (Meta Ads, TikTok Ads, Retail Media Networks).

• 0-to-1 Product Leadership: Track record of taking ambiguous strategic requirements and translating them into tangible, validated MVPs with clearly tracked user adoption and business impact.

• Cross-Functional Influence: Proven ability to collaborate effectively with creative directors, media planners, commercial leads, and software engineers without requiring direct hierarchical authority.

• Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, Business Administration, Marketing Technology, or a related quantitative field.

• Language Proficiency: Fluent in Thai and English (Mandarin proficiency is an advantage for cross-border MarTech partnerships).

Success Metrics

• Product Velocity & Milestones: On-time delivery of key product roadmap milestones and core operational platform releases.

• Operational Efficiency Lift: Measurable improvement in turnaround times for creative production and client deliverables.

• Commercial Impact: Successful enablement of AI-driven business lines and overall business growth.

• Organization-Wide AI Adoption: High adoption rates for internal AI tools and high participation in AI enablement programs across operational teams.