Affinity Labs

• Own end-to-end mobile development across iOS and Android on our React Native / Expo stack • Build and maintain shared infrastructure: push notifications, analytics, media streaming, subscription flows • Architect scalable codebases that can grow with the product and the user base • Integrate AI-powered features - streamed LLM responses, generative content, intelligent notifications • Collaborate with product and design to ship high-quality, pixel-perfect experiences • Contribute to CI/CD pipelines, automated testing, and code quality standards • Work closely with the CTO - set engineering patterns future hires will learn from

• Own end-to-end mobile development across iOS and Android on our React Native / Expo stack • Build and maintain shared infrastructure: push notifications, analytics, media streaming, subscription flows • Architect scalable codebases that can grow with the product and the user base • Integrate AI-powered features - streamed LLM responses, generative content, intelligent notifications • Collaborate with product and design to ship high-quality, pixel-perfect experiences • Contribute to CI/CD pipelines, automated testing, and code quality standards • Work closely with the CTO - set engineering patterns future hires will learn from

Join the core engineering team and own the mobile layer across our live product portfolio. This isn't a single-product role - you'll work across multiple creator-led apps and build the shared mobile infrastructure that powers all of them. Tasks - Own end-to-end mobile development across iOS and Android on our React Native / Expo stack - Build and maintain shared infrastructure: push notifications, analytics, media streaming, subscription flows - Architect scalable codebases that can grow with the product and the user base - Integrate AI-powered features - streamed LLM responses, generative content, intelligent notifications - Collaborate with product and design to ship high-quality, pixel-perfect experiences - Contribute to CI/CD pipelines, automated testing, and code quality standards - Work closely with the CTO - set engineering patterns future hires will learn from Requirements - 5+ years building and shipping production React Native apps on iOS and Android - Deep expertise with Expo (managed and bare workflows), React Navigation, and state management - Experience with Reanimated, Skia, and Apollo Client - Solid understanding of push notifications (APNs / FCM), background processing, and app lifecycle - Hands-on experience with Supabase or similar BaaS, and PostgreSQL - Familiarity with RevenueCat or other in-app subscription platforms - Strong TypeScript skills and a high bar for code quality - Comfortable working async in a remote-first team with strong written communication Benefits - 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

Join the core engineering team and own the mobile layer across our live product portfolio. This isn't a single-product role - you'll work across multiple creator-led apps and build the shared mobile infrastructure that powers all of them. Tasks - Own end-to-end mobile development across iOS and Android on our React Native / Expo stack - Build and maintain shared infrastructure: push notifications, analytics, media streaming, subscription flows - Architect scalable codebases that can grow with the product and the user base - Integrate AI-powered features - streamed LLM responses, generative content, intelligent notifications - Collaborate with product and design to ship high-quality, pixel-perfect experiences - Contribute to CI/CD pipelines, automated testing, and code quality standards - Work closely with the CTO - set engineering patterns future hires will learn from Requirements - 5+ years building and shipping production React Native apps on iOS and Android - Deep expertise with Expo (managed and bare workflows), React Navigation, and state management - Experience with Reanimated, Skia, and Apollo Client - Solid understanding of push notifications (APNs / FCM), background processing, and app lifecycle - Hands-on experience with Supabase or similar BaaS, and PostgreSQL - Familiarity with RevenueCat or other in-app subscription platforms - Strong TypeScript skills and a high bar for code quality - Comfortable working async in a remote-first team with strong written communication Benefits - 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

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

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

Role Description Join the core engineering team and own the mobile layer across our live product portfolio. This isn't a single-product role - you'll work across multiple creator-led apps and build the shared mobile infrastructure that powers all of them. - Own end-to-end mobile development across iOS and Android on our React Native / Expo stack - Build and maintain shared infrastructure: push notifications, analytics, media streaming, subscription flows - Architect scalable codebases that can grow with the product and the user base - Integrate AI-powered features - streamed LLM responses, generative content, intelligent notifications - Collaborate with product and design to ship high-quality, pixel-perfect experiences - Contribute to CI/CD pipelines, automated testing, and code quality standards - Work closely with the CTO - set engineering patterns future hires will learn from Qualifications - 5+ years building and shipping production React Native apps on iOS and Android - Deep expertise with Expo (managed and bare workflows), React Navigation, and state management - Experience with Reanimated, Skia, and Apollo Client - Solid understanding of push notifications (APNs / FCM), background processing, and app lifecycle - Hands-on experience with Supabase or similar BaaS, and PostgreSQL - Familiarity with RevenueCat or other in-app subscription platforms - Strong TypeScript skills and a high bar for code quality - Comfortable working async in a remote-first team with strong written communication Benefits - 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 Company Description Affinity Labs is a full-stack, AI-driven software builder that partners with content creators to co-found and scale software businesses. We take products from idea to launch, then keep operating and improving them - so creators can focus on their content and community while still owning meaningful upside. Our model is built for a world where software is getting cheaper to build, but distribution is harder to earn. Creators already have trust and attention, but most don’t have the time, technical skills, or the right partners to turn audience demand into a real product. We solve that by combining a repeatable product engine (reusable templates + AI-assisted development) with creator-led distribution.