AI Ops Intern

Position Title: AI Ops Intern

Location: Bangkok (Hybrid)

Team: Data & AI

Type: Internship (4-6 months)

Join social.plus!

social.plus is on a mission to help brands and creators own their communities instead of renting them on third-party social platforms. As engagement on traditional social media declines and algorithms become more unpredictable, social.plus empowers enterprises to build curated digital communities directly within their own apps, driving higher engagement, retention, and lifetime value.

For consumer apps, engagement is everything. social.plus is designed to help brands keep users inside their ecosystem rather than losing them to external platforms. By embedding community features within an app, brands can foster deeper interactions, increase user retention, and unlock new monetization opportunities.

Your impact:

Behind the product, we’re building an AI-native work environment: a company where every team works alongside AI agents grounded in centralized, well-governed data and context. As an AI Ops Intern, you’ll help make that real - closing the gap between what the company knows and what our AI systems can actually use.

The work sits at the intersection of data engineering, context engineering, and AI adoption: connecting company data into our centralized data and agentic platform, working with domain experts to encode their knowledge into AI-usable context, and using observability to continuously improve how the company works with AI.

This is a hands-on operational role. You’ll ship pipelines, curate glossaries and skills, analyze usage patterns, and own the improvements you propose - end-to-end, from idea through production and iteration.

Your team:

You’ll join the team under the Head of AI and Architecture, working on the forward edge of the platform - data and AI infrastructure, internal tooling, intelligence systems, and the agentic workflows the rest of the company runs on. It’s a lean team with wide scope and meaningful influence over what gets built.

Your day-to-day responsibilities:

• Integrate and sync data from internal systems (product analytics, CRM, operational tools) into our centralized data platform on GCP/BigQuery and connected agentic tooling.
• Maintain data syncs and materializations with attention to correctness, freshness, and query cost.
• Work with domain experts across product, sales, support, and engineering to capture business definitions, workflows, and tribal knowledge as structured AI context - glossaries, skills, and reference documents.
• Manage and optimize that context over time: version it, deduplicate it, and keep it accurate as the business evolves.
• Instrument and monitor how teams actually use AI tools - which queries succeed, where agents fail, and where people fall back to manual work.
• Turn those observations into continuous improvements: better prompts, better skills, better onboarding, better defaults.
• Identify data and context gaps that block AI systems from solving real company challenges, and propose (or build) what’s needed to close them.
• Document what you learn in a form both humans and AI agents can execute, so the same problem is never solved twice.

Your ideal profile:

You’re curious about how AI systems behave in the real world, and equally comfortable writing a data pipeline and sitting with a salesperson to understand how they define a qualified lead. You care about correctness and cost, you write clearly, and you’d rather fix the root cause than the symptom.

• Currently pursuing or recently completed a degree in Computer Science, Data Science, Engineering, or a related field - or equivalent self-taught experience.
• Good at data engineering - comfortable building and reasoning about data pipelines, syncs, and transformations.
• Genuine curiosity about LLMs and agentic systems: you’ve used AI tools seriously, not just casually, and you have opinions about what makes them work well.
• Strong written communication - much of this role is turning messy human knowledge into clear, structured text.
• Comfortable talking to non-technical colleagues and translating their expertise into something a machine can use.

Nice to have

• Experience with BigQuery, GCP, or another cloud data warehouse.
• Familiarity with MCP (Model Context Protocol), RAG, prompt engineering, or agent frameworks.
• Exposure to analytics concepts (MAU, retention, engagement metrics) or SaaS business metrics.

Why this internship:

• Direct mentorship from the team building social.plus’s data and AI infrastructure.
• Real ownership - your pipelines, context libraries, and improvements will be used company-wide.
• A front-row seat to what an AI-native company actually looks like from the inside, and a hand in shaping it.
• Potential path to a full-time role.

What’s in it for you:

• Be part of a category-defining company: We’re changing how brands build communities.
• Global, remote-first culture: Work with top talent across different countries. You are required to work from the office 3 days a month. The rest of the days, you are free to work wherever you feel most productive in Thailand.
• Visibility, Inclusion, and Autonomy: We’ll provide guidance and support while granting you full visibility into your achievements, inclusion in all team meetings to absorb as much as you can, and the freedom to propose your ideas. Proactivity is highly valued and encouraged at all times.
• Company-Sponsored Sports Sessions: Stay active and connect with colleagues! We sponsor various sports like badminton, tennis, and pilates to keep you moving and having fun together offline.
• Global Diversity: You’ll work with an international team of professionals with a hugely diverse cultural background that embraces 15 nationalities.

social.plusis an equal opportunity employer and welcomes applications from all qualified individuals regardless of ethnicity, sex, disability, religion/belief, sexual orientation or age.