Toogeza

• Currently, we are looking for a **СРО** to build the Lifestyle Super App from scratch. • Lifestyle Super App — an application that combines travel, delivery, and banking in a single mobile interface. Focus: user experience and local needs. • Product vision. • Strategic roadmap (MVP → PMF → scale). • Processes (Scrum, lean discovery, A/B). • Team (devs, design, analytics, partners). • UX + Go-To-Market. • Become the leader as a “Super App for Everyday Life”: live, eat, travel, and pay from a single app.

• Conduct quantitative research on crypto markets and evaluate strategy performance. • Analyze large datasets and latency logs to identify bottlenecks and optimize trade execution. • Conceptualize and continuously refine mathematical models; translate algorithms into production-ready Python/Pandas code. • Back-test and implement trading signals in a live environment, monitoring real-time performance. • Collaborate with traders, engineers, and data teams to integrate findings and improve strategy robustness.

Role Description We are looking for a Senior Corporate Counsel to provide comprehensive legal support to the business on a part-time basis — an independent specialist who is able to handle tasks and build the company’s legal processes. The company is registered in Cyprus , and the main legal documentation and communication are conducted in English. Responsibilities: - IP: registration and protection of trademarks and naming; transfer of rights from contractors and employees, including work-for-hire and assignment; copyrights to code, design, and content; control over non-infringement of third-party rights. - Data Protection: Privacy Policy; compliance with local personal data protection laws; processing of user data and consents; requirements related to underage audiences. - Platforms: compliance with App Store and Google Play policies; subscriptions and IAP; possible appeals in case of blocks; payment providers and age ratings. - User Documents: ToS, EULA, refund policies, Community Guidelines, cookie policies. - Employment Law: hiring and termination of employees; agreements with contractors, including B2B and civil law contracts; stock options / ESOP; NDAs and non-compete agreements. - Counterparties: review and support of commercial agreements; NDAs; partnership agreements, B2B, API integrations, and service providers. - Licensing: SDKs, libraries, open-source; media, fonts, music; compliance with third-party terms. - AI: liability for AI features; data for model training; EU AI Act; disclosure of AI usage. - Investments and Deals: funding rounds, including SAFE and term sheets; due diligence; work with investors. - Risks: risk assessment of new features and products; liability insurance. Qualifications - Higher legal education in international law. - Senior level: experience in corporate law, autonomy in decision-making. - Experience working with mobile products. - Strong expertise in IP, employment, and contract law. - Knowledge of personal data protection legislation, including GDPR and analogues. - Ability to explain complex matters in simple language. - Fluent written and spoken English, as all company legal documentation is conducted in English. What’s next? If this role sounds like a fit — we’d love to hear from you! Just send over your CV and anything else you’d like us to consider. We’ll review everything within five working days , and if your background matches what we’re looking for, we’ll get in touch to set up a call and get to know each other better.

Role Description We are looking for an AI Video Agent Engineer for Elva. This role involves building an AI-driven video production system designed as an intelligent multi-agent orchestration layer capable of transforming raw ideas and references into fully structured video content. - The system operates as a black-box creative engine for different types of users: - professional video creators - casual users - creators of short narrative concepts - Users provide an idea, references, or media fragments, and the system automatically orchestrates multiple AI agents responsible for: - analysis - scripting - editing - production of video content - We are looking for an engineer who can design and implement multi-agent pipelines, orchestrate AI tools, and build intelligent workflows that combine video analysis, storytelling logic, and automated editing. - This role sits at the intersection of AI systems architecture, creative tooling, and multimodal content generation. Responsibilities - AI Agent Architecture - Design and implement the architecture of a multi-agent video editing system including agents responsible for: - video analysis - narrative generation - editing orchestration - production and output synthesis - Define system prompts, behavioral rules, and structured instructions for agents interacting within the pipeline. - Pipeline Orchestration (n8n) - Develop and maintain complex orchestration pipelines in n8n, including: - multi-agent workflows - tool-calling logic - dynamic routing between tools and models - context passing between agents - Pipelines must be capable of selecting the most appropriate models, tools, and strategies depending on the task. - Multimodal Data Processing - Design robust pipelines for handling: - video materials - image assets - user text prompts - structured metadata - Ensure proper data transformation and context transfer across the pipeline stages. - Tool & API Integration - Integrate both external and internal APIs for multimodal generation and processing, including: - image generation - video generation - speech synthesis - audio generation - video processing services - Rapidly evaluate available APIs and select the best quality tools and models for each task. - Model Orchestration & Optimization - Tune and optimize model interactions, primarily based on Gemini models, including: - prompt engineering - structured outputs - tool-calling workflows - agent collaboration logic - Optimize pipelines for quality, reliability, and execution efficiency. - Future Architecture (RAG & Knowledge Systems) - Design systems that support: - vector databases - retrieval-augmented generation (RAG) - memory and contextual reasoning between agents - Expected Outcomes: - The pipeline system should be capable of: - Taking an idea + references as input - Analyzing the content - Generating a coherent narrative structure - Selecting appropriate visual and audio elements - Producing a high-quality, structured video output Requirements - AI Systems & Agent Architecture - Strong experience building multi-agent systems, including: - intent and sub-intent modeling - agent orchestration - agent communication and transport layers - summarization pipelines - context passing between agents - Workflow Orchestration - Hands-on experience with n8n - Agent tool-calling - n8n MCP - Experience designing complex automation pipelines is essential. - Programming - Strong practical coding skills with vibe coding mindset: - Primary languages: Python, JavaScript - Bonus experience: ComfyUI custom nodes, lightweight APIs (e.g., HuggingFace Spaces or inference endpoints) - Multimodal Tooling Knowledge - Ability to quickly navigate API documentation and integrate tools for: - image generation - video generation - speech synthesis - audio generation - multimodal analysis - You should know where and how to obtain the best generation quality for each modality. - Creative Thinking - Strong sense of visual rhythm and composition - Creative intuition and storytelling awareness - Good taste in video structure and montage - Ability to evaluate AI-generated output not only by metrics, but also by creative quality and narrative coherence - Video & Media Processing - Preferred experience with: - FFmpeg - video processing pipelines - image processing workflows Nice to Have - Agentic Frameworks - Deep understanding of frameworks such as LangGraph and LangChain for building complex cyclic state graphs and stateful agent systems. - Advanced RAG & Memory Management - Experience designing long-term memory systems for agents, including mechanisms for storing and retrieving successful execution patterns or scenarios to improve future performance through experience-based retrieval. - Self-Correction & Reflection - Experience building agents with feedback loops such as self-reflection, self-critique, or strategy correction, enabling them to verify their own actions and adapt execution logic dynamically. - Evaluation & Observability - Experience with tools for monitoring, debugging, and evaluating agent chains and prompt behavior, such as LangSmith, Arize Phoenix, or Promptfoo, with the ability to identify logical failures, quality regressions, and orchestration bottlenecks. Ideal Candidate The ideal candidate is someone who naturally operates between engineering and creative production, capable of building systems that automate complex media workflows while preserving narrative coherence and aesthetic quality. You enjoy designing systems where AI agents collaborate to produce meaningful creative outputs. What’s next? If this role sounds like a fit — we’d love to hear from you! Just send over your CV and anything else you’d like us to consider. We’ll review everything within five working days, and if your background matches what we’re looking for, we’ll get in touch to set up a call and get to know each other better.

• Develop ad concepts for performance marketing campaigns (Meta, TikTok). • Create ad briefs for the design team - including motion and graphic designers. • Work on scripts and ideas for UGC creatives. • Conduct competitor ad analysis. • Gather insights about existing users and identify opportunities to reach new audiences. • Analyze test results and propose ideas for further creative scaling.

Role Description We are looking for a Senior Recruiter / Executive Search Specialist to join our client, a performance-driven digital marketing company focused on user acquisition and traffic operations within the iGaming sector. Qualifications - 5+ years of experience in recruitment, with a strong focus on iGaming/Gambling (mandatory) - Proven track record of successfully hiring professionals in: - SEO - Media buying - Traffic Arbitrage / Affiliate Marketing - Advanced sourcing expertise (LinkedIn, Boolean search, Claude, Chat GPT, etc) - Strong network within SEO, affiliate or media buying domains - Experience conducting executive and niche searches for hard-to-fill positions - Excellent communication and negotiation skills - Proactive approach combined with strong analytical thinking - English - at least intermediate level Requirements - Manage the full-cycle recruitment process for positions across iGaming, affiliate marketing, media buying, operations, analytics, and support functions. - Partner closely with hiring managers and leadership teams to understand business goals, hiring priorities, and market requirements. - Develop and execute effective sourcing strategies to attract top talents. - Conduct proactive headhunting through LinkedIn, professional networks, referrals, industry communities, and alternative sourcing channels. - Evaluate candidates through structured interviews, competency-based assessments, and market benchmarking. - Provide market insights, talent intelligence, compensation benchmarks, and competitor research to support hiring decisions. - Continuously improve recruitment processes, sourcing methodologies, and employer positioning within the industry. Benefits - Opportunity to influence hiring strategy, introduce new sourcing approaches, and make a direct impact on business growth. - Personal development plan and annual budget for courses and professional training. - Fully remote setup with flexible working hours. - 18 paid vacation days, fully compensated sick leave, and an annual wellbeing budget. - Full legal and accounting support.

• Develop and implement the group’s financial strategy in line with the network’s expansion plan • Manage cash flow, capital structure, and investment activity • Build an effective financial control system • Develop an in-house veterinary EHR/CRM system based on Creatio • Build and grow a professional finance team (accounting, controlling, FP&A)

• Develop and own the marketing strategy with a primary focus on acquisition • Build a hypothesis roadmap — continuous experimentation, always testing • Establish frameworks for scaling what works and cutting what doesn't • Build acquisition funnels from scratch across key channels • Drive subscription conversion and revenue impact — not just traffic metrics • Manage freelancers across paid channels — task assignment and performance evaluation • Hire and onboard inhouse UAM as your first direct report • Coordinate cross-functional work with content, SEO, product and engineering to deliver marketing experiments • Work directly with founders on strategy and budget decisions • Build full-funnel reporting across all channels and traffic sources • Use data to make fast decisions on budget, creative, and audience strategy • Work with analytics tools to surface insights and drive action

Role Description As a Lead Data Scientist, you will combine hands-on expertise, technical leadership, and product thinking to drive the development of scalable ML solutions. You will play a key role in: - Ensuring what we build drives business value - Defining how we build (processes, standards, scalability, performance) This role requires close collaboration with product and business stakeholders to translate complex problems into practical, high-impact solutions. Responsibilities: - Work closely with product and business teams to: - Translate business problems into data science solutions or data analytics researches - Define clear success metrics and KPIs - Turn insights into actionable recommendations that impact revenue and player behavior - Ensure all models and analyses are aligned with real business outcomes, not just technical performance - Design, build, and deploy ML models (e.g., churn prediction, LTV forecasting, revenue uplift, player segmentation) from experimentation to production. - Define and implement standardized, scalable DS/DA processes across the team: - Model development lifecycle (design → validation → production) - Code quality, documentation, and reproducibility - Experimentation and evaluation frameworks - Continuously improve delivery efficiency, reducing time from idea → production - Identify opportunities to automate manual analytical workflows using AI/ML Qualifications - Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field. - 5+ years of experience as a Data Scientist, preferably in the gaming or tech industry. - Strong analytical and problem-solving mindset; ability to find the story in the data: uncovering trends and explaining them in clear business terms. - Experience working with large datasets and distributed computing tools (BigQuery, Spark, Hive, or similar). - Strong hands-on experience with SQL for complex queries and data wrangling. - Solid data visualization skills (Tableau/Power BI, Python) - Advanced skills in Python for data analysis. - Solid understanding of experimental design and statistical testing (A/B testing, hypothesis testing, confidence intervals). - Familiarity with causal inference techniques (e.g., Propensity Score Matching, Instrumental Variables, Difference-in-Differences, uplift modeling), and predictive modeling techniques. - English B2+ Requirements - Knowledge of the iGaming industry or understanding of slot game mechanics - Ability to look at games from players' point of view - Product mindset: the ability to go beyond numbers and propose actionable solutions that make an impact. Benefits - Work on meaningful data products and shape them with your vision. - 25 vacation days + 15 sick days + 1 birthday leave. - Budget for English classes. - Budget for health insurance. - Annual education & development budget. - Remote-friendly culture with a small, dedicated team.

Role Description We are looking for a Product Manager for Rapidсase, an AI-powered platform that automates legal work for personal injury attorneys in the US. This is not a typical PM role focused purely on feature delivery. You'll be the second person on the project alongside our CEO — a legal domain expert. You'll own the product, manage the development team, and actively drive go-to-market efforts. The role requires full autonomy. You'll identify what needs to be done, find the resources to do it, and execute — without waiting for detailed instructions. What You'll Do - Manage and prioritize work for the development team - Collect and translate client feedback into product improvements and feature updates - Iterate on the MVP based on real-world usage and testing results - Work closely with the CEO to engage potential clients and support go-to-market efforts - Design and run marketing experiments: direct outreach, email campaigns, industry conferences - Independently source and onboard freelancers or contractors when needed (designers, copywriters, etc.) - Define and test hypotheses around product positioning and acquisition channels - Communicate product progress and strategy to stakeholders Qualifications - 5+ years of overall experience in product management - 3+ years of experience as a Product Manager in a B2B SaaS company - Hands-on experience working with AI/LLM-based products - Proven ability to work autonomously in an early-stage environment - Experience managing cross-functional teams and external contractors - Strong analytical thinking: ability to define metrics, interpret data, and make product decisions based on evidence - Experience with product discovery: user interviews, hypothesis formulation, A/B testing, usability testing - Proficiency with product management tools - Fluent English — both written and spoken Requirements - Experience launching a product on the US or European market - Background in legal tech, document automation, or professional services software - Experience with direct B2B sales or outreach campaigns - Basic understanding of LLM architecture and prompt engineering Benefits - You'll be the second person on the project — real ownership and direct impact from day one - Work directly with a CEO who has deep legal domain knowledge and an existing network of potential clients - The product already exists and has been tested with real users — you're not starting from scratch - Huge market opportunity: personal injury law is a multi-billion dollar industry in the US, and automation is just beginning - Startup pace without the uncertainty of zero traction — we have a working product and real feedback - Remote, full-time position Hiring Process - HR interview with toogeza - Interview with the founding team - Final interview What’s next? If this role sounds like a fit — we’d love to hear from you! Just send over your CV and anything else you’d like us to consider. We’ll review everything within five working days, and if your background matches what we’re looking for, we’ll get in touch to set up a call and get to know each other better.