Senior ML / AI Data Engineer @ UK Startup - 45MN Indonesian Rupiah

Help us turn raw user behaviour into product intelligence. Across our portfolio we have rich data - engagement patterns, subscription signals, session depth, conversion funnels - and we're ready to operationalise it. You'll build pipelines, segmentation models, and LLM-powered features that drive decisions across every product. Hands-on from day one, working directly with the CTO .

• Design and build data pipelines consolidating signals from Supabase, PostHog, and RevenueCat
• Build and ship ML segmentation models to identify high-value users, churn risks, and
  conversion-ready cohorts
• Develop and maintain LLM-powered features: agents, RAG pipelines, personalisation systems Instrument and evaluate AI agent performance using LLM-as-judge and related evaluation patterns
• Build internal tooling for behavioural analysis - session replay, cohort formula tooling, user journey mapping
• Translate data insights into actionable product changes in collaboration with the product team
• Contribute to the notification intelligence layer - ML-driven segmentation and send-time optimisation

1. 5+ years in ML engineering, data engineering, or applied AI - ideally B2C or product-led
2. Strong Python skills and fluency with data tooling (pandas, dbt, SQLAlchemy or similar)
3. Experience building and deploying ML models in production - not just notebooks
4. Hands-on with LLM APIs: Anthropic Claude, OpenAI, Gemini, or open-source models
5. Experience with vector databases and embedding pipelines (pgvector, Pinecone, Weaviate)
6. Familiarity with PostHog, Mixpanel, or equivalent product analytics platforms
7. Solid SQL skills - comfortable querying PostgreSQL / Supabase at scale
8. Independent self-starter who communicates findings clearly to non-technical stakeholders

• Live products with real users - not internal tools or greenfield prototypes
• Remote-first, async culture with high autonomy
• Fast-moving team that ships constantly - no endless planning cycles
• Equity-aligned model: we build products we co-own with creators