Jobs at Social Discovery Group

Monitor product and infrastructure health, investigate alerts using Grafana and Zabbix, perform first-level Linux and Windows troubleshooting, follow runbooks, resolve or escalate incidents, and support senior administrators during major incidents. The role includes rotating day and night shifts, independent duty coverage after onboarding, and collaboration with a distributed team.

Lead production optimization and scaling of LLM inference across distributed multi-GPU and multi-node systems. Guide NLP and computer vision teams, train and fine-tune language models, improve agent and chat systems, evaluate new hardware, track inference research, and establish the ML roadmap. The role requires deep expertise in inference performance, distributed model systems, post-training, PyTorch, and technical leadership.

The Senior Manual QA will plan testing scope, create and maintain test documentation, test mobile, backend, and web applications, stabilize frequent releases, identify and clearly document defects, and improve QA processes. The role requires hands-on use of Jira, Confluence, TestRail or Allure TestOps, MS SQL Server, Fiddler, Postman, and AI tools within an agile, client-server development environment.

Design and evaluate product experiments, including A/B tests and statistical significance analysis. Investigate user behavior, metric anomalies, and product issues; identify growth opportunities; generate and validate hypotheses; and build product dashboards. Translate analytical findings into clear recommendations and decisions that improve product and marketing metrics.

Generate and refine photorealistic AI images and videos, build batch-processing automations, collaborate on visual concepts, maintain consistent asset quality, and develop guidelines for realism and editing best practices. The role requires advanced retouching, prompt engineering, knowledge of AI model limitations, and familiarity with image detection tools.

Lead the creation and quality of realistic AI-generated visual content, especially models, personas, and avatars. Build scalable image-generation pipelines with ComfyUI, Flux, APIs, n8n, and scripts; automate batch production; define technical standards; evaluate emerging AI tools; and improve quality, consistency, approval rates, speed, scalability, and cost efficiency. The role requires strong visual judgment, technical workflow expertise, independent ownership, and systems thinking.

Lead sales for creator and agency partnerships, including influencer acquisition, negotiations, onboarding, revenue forecasting, pipeline ownership, promotional production, SKU development, and creator monetization. The role owns revenue, cash flow, partner retention, and reporting while coordinating external partners with internal production teams. It requires an established creator and agency network, knowledge of creator-platform economics, dashboarding and Excel modeling skills, strong English, and long-term relationship management.

Develop and optimize marketing reports, monitor product and advertising campaign KPIs, integrate and visualize data, investigate performance deviations, analyze campaigns, and recommend improvements. The role requires strong Google Sheets skills, basic SQL, A/B testing, mathematical statistics, and English proficiency. Python, web analytics, Google Ads, and BI experience are preferred. This is a fully remote position.

Owns a product area end to end, identifying growth opportunities, developing hypotheses, defining requirements, driving cross-functional delivery, and analyzing experiments and product metrics. The role partners with engineering, design, and analytics teams to validate ideas, optimize outcomes, and scale successful solutions in a fast-moving, remote environment.

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.

Manage and scale affiliate partnerships across CPA, RevShare, and hybrid models. Responsibilities include partner onboarding, creative and landing page setup, tracking and postback QA, KPI monitoring, traffic optimization, discrepancy resolution, database maintenance, technical partnership launches, competitor research, and performance reporting.

Manage and optimize high-load Microsoft SQL Server databases, including advanced T-SQL development, query and execution-plan optimization, indexing, locking, memory, disk performance, AlwaysOn availability, maintenance, recovery, security, integrity checks, monitoring, and incident resolution. Support analysts and ML engineers with reliable data access across databases reaching tens of terabytes.

Drive quality assurance for web features from technical handoff through production release. Responsibilities include test planning, test case creation, functional and exploratory testing, regression, UI/UX, cross-browser, responsive, API, and end-to-end testing. Support releases through build validation and monitoring, document and review tests, collaborate with product and engineering teams, improve QA metrics, and optionally contribute to test automation.

Own CRM growth initiatives focused on retention, churn prevention, and high-value customer engagement. Develop hypotheses from customer journey, lifecycle, loyalty, and business metrics; create business specifications; launch and analyze experiments across email, push, SMS, pop-ups, banners, and chats. Collaborate with product, UX, development, and analytics teams to improve processes, introduce new channels, and deliver measurable revenue and retention outcomes.

Own full-cycle accounting for five international entities, including month-end close, general ledger reviews, intercompany reconciliations, parallel ERP and QuickBooks accounting, statutory audits, tax compliance, forecasts, variance analysis, and KYC/AML requests. The role coordinates auditors, tax partners, banks, acquirers, and payment service providers across multiple jurisdictions.

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.

Manage commercial contracts across jurisdictions, oversee global corporate entities and governance, provide day-to-day legal advice, collaborate with Finance, Compliance, HR, and Operations, maintain legal resources, and automate legal workflows. The role requires knowledge of EU and US consumer protection, advertising, digital, and AI governance laws, plus Russian and English proficiency.

Leads the machine learning strategy for dialogue systems, manages a team of three ML engineers, and oversees LLM post-training, agent systems, evaluation, safety, and inference optimization. The role combines strategic ownership with hands-on prototyping, debugging, research implementation, and measurable product impact across retention, ARPU, and chat engagement.

Manage and optimize mobile app user acquisition campaigns across Meta, TikTok, Google, and Apple Search Ads. Responsibilities include budget management, A/B testing, funnel and cohort analysis, campaign performance monitoring, in-app event optimization, and collaboration with creative, product, and partner teams.

Migrate SQL Server data products and analytical workloads to a modern cloud platform. Redesign legacy SQL, ETL processes, and business logic; build scalable pipelines and analytical models; validate data quality; collaborate with stakeholders; and improve platform reliability, performance, cost efficiency, and AI-assisted data engineering automation.