Jobs at Social Discovery Group

Develop and enhance website functionality using React, optimize system performance, design technical solutions, and independently break technical specifications into subtasks. The role also involves applying SOLID principles, understanding FRP and HTTP(S)/WS(S) protocols, implementing native UX/UI components, conducting code reviews, and working with TypeScript and RxJS.

Shape conversational AI behavior by writing prompts, creating and annotating dialogue datasets, automating content workflows, testing model versions, evaluating responses, and identifying whether issues stem from prompts, datasets, or models. Collaborate with ML engineers to improve output quality, analyze user conversations, and maintain standards for tone, style, explicitness, and quality. The role requires strong English writing, hands-on LLM experience, analytical ability, and comfort with adult content.

Analyzes advertising campaign performance, prepares reports, monitors marketing KPIs, evaluates A/B tests, and recommends optimization strategies. The role improves attribution and LTV models, marketing reporting, and budgeting tools. It requires strong Google Sheets, BigQuery, mathematical statistics, and BI skills, with familiarity with SQL, Python, web analytics, and Google Ads considered advantageous. This is a fully remote position, with preference for candidates in APAC or nearby time zones.

Own the end-to-end customer journey across B2C social discovery products. Identify funnel friction and growth opportunities, analyze data with AI tools and BigQuery, develop evidence-based hypotheses, write product briefs, prioritize backlogs, and drive initiatives from concept through release. The role focuses on measurable business impact, including revenue and profit, and scaling successful experiments across the product portfolio.

Coordinates IT and software delivery projects across planning, execution, release, and closure. Maintains Jira plans, milestones, documentation, RAID logs, dashboards, and status reports; tracks deliverables, risks, dependencies, scope changes, and delivery metrics. Facilitates cross-functional meetings and aligns Product, Engineering, QA, Business, and other stakeholders while escalating blockers and supporting project governance.

Develop marketing budget allocation models, Early LTV metrics, performance diagnostic frameworks, and analytical tools. Analyze products, channels, campaigns, cohorts, attribution, and marketing economics using SQL, experimentation, BI tools, and spreadsheets. Support AI-based analytics development and unified BI metrics while translating findings into business rules and recommendations.

Leads end-to-end modernization from a monolith to microservices, including legacy analysis, architecture, estimation, data migration, deployment, and production support. Guides .NET services, databases, messaging, containerization, and frontend integrations. Acts as the technical escalation point for complex issues while improving Jira tracking, estimation accuracy, QA collaboration, release predictability, and engineering processes. Manages and develops the team through one-on-ones, performance reviews, feedback, and career-focused objectives.

Lead the end-to-end product experience across acquisition, onboarding, avatar selection, chat, media generation, and retention. Drive conversion, retention, and LTV through hypotheses, prioritization, A/B testing, and data-informed design. Establish the product’s design direction and design system, lead a multidisciplinary design team, and partner with product, analytics, marketing, engineering, research, and support.