Successful admission experience to US universities — on your own or accompanied by students
Understanding the Early Decision / Early Action/ Regular Decision system, financial aid, and Scholarships
The ability to build an admission strategy based on the strengths of a particular student
Willingness to work with students on a regular basis

Work from the office - there is no remote format

• Proficiency in Adobe Photoshop, Illustrator and Figma; knowledge of CorelDRAW will be an advantage;

• Strong understanding of composition, typography, color, and visual hierarchy;

• Understanding the principles of branding and the ability to work within a single design system;

• A portfolio with strong cases in graphic and communication design;

• Attention to detail, responsibility, and meeting deadlines.

We are looking for an AI engineer to develop an AI trainer for dentists.

Requirements:

• Experience in LLM-based product development;

• Python;

• working with OpenAI / Claude / other LLM APIs;

• Experience with Speech-to-Text and audio processing;

• understanding RAG, structured outputs, AI agents;

• backend and API creation experience;

• the ability to independently assemble an MVP from an idea to a working product;

• Preferably experience with conversational AI, AI trainers, voice AI, or call analysis.

The main thing is practical experience in creating working AI products, not just knowledge of theory.

• 5+ years of experience in software development
• 2+ years of experience working with LangGraph and MLflow
• Intermediate to advanced proficiency in Python, including backend development
• Intermediate experience with Databricks, CI/CD, MCP (Model Context Protocol), and A2A (Agent-to-Agent)
• Intermediate to advanced skills in AI-assisted development tools such as Claude Code, Cline, and GitHub Copilot
• Strong background in AI engineering and software development
• Excellent technical storytelling and communication skills
• Comfort facilitating hands-on workshops and bootcamps
• Passion for learning emerging technologies and rapidly building expertise in new areas
• English proficiency at B2 level or higher

Nice to have

• Experience designing workflows and automation solutions that improve processes and enhance enablement offerings
• Familiarity with Spec-Driven Development practices

·          Higher education in IT, Data Analytics, mathematics, statistics or related fields.

·          Work experience as a Data Analyst, BI Analyst, Reporting Analyst or in a similar position.

·          Proficiency in Microsoft Excel: pivot tables, formulas, Power Query; preferably VBA.

·          Experience working with Power BI and developing analytical dashboards.

·          Good knowledge of SQL and database skills.

·          Understanding the principles of data analysis and visualization.

·          Experience in automating regular reporting and routine processes.

·          Understanding logistics and warehouse processes will be an advantage.

·          Experience working with large amounts of data.

·          Analytical thinking, attention to detail, and the ability to find patterns and deviations.

·          The ability to work independently with tasks and meet deadlines.

·          Good communication skills and the ability to interact with various departments.

1. 7+ years of experience in the banking sector, including 3+ years in the management of the SME segment (lending, risk, sales).

 2.⁠ ⁠Practical experience working with the credit pipeline and scoring systems of SMEs - setting tasks for configuration and refinement.

 3. Experience in digitalizing credit processes: launching online lending, automating the e2e customer journey.

 4. Knowledge and practical application of change management methodologies (Agile, Lean, process reengineering) in banking transformation.

 5. Experience working with CRM and BPM systems, creating business requirements and user stories for IT teams.

 6.⁠ ⁠Advanced knowledge of Excel/Google Sheets and BI-tools (Power BI/Tableau/Qlik) for portfolio analysis and reporting.

 7. Experience in building and calibrating financial models, P&L and unit economics of credit products.

 8.⁠ ⁠Understanding the principles of credit risk management: scoring, limits, redundancy, working with NPL.

 9. Experience in cross-functional interaction with IT, Data/Analytics and risk departments within the framework of digital transformation.

10. Knowledge of Jira/Confluence or similar project management and product development tools.

Basic requirements

— At least 1 year of experience in recruitment — Knowledge of modern recruiting methods — Sociability and ability to work in a team — Responsibility and organization

We are looking for someone who:

• Solved difficult tasks: you have experience launching and/or operating an F2P game that made money (LTV > CPI). Not just participation, but real cases with measurable results.
• Strong in genres: you understand at least one of the genres down to the smallest detail: Casual (Match-3, Merge, Arcade) or Mid-Core (Strategies, Shooters, complex puzzles). You didn't just play, but you were "pumped" in mechanics and monetization (it would be great if you could show off the levels in casual games).
• He assembled and led the teams: We managed the department, hired, conducted a performance review, and, if necessary, made difficult personnel decisions. You are building not just a team, but an efficient machine.
• He thinks with data and money: For you, P&L, LTV, and ROI are not just abbreviations, but basic decision—making tools.
• He is observant and ambitious: you are eager to make your next successful project or break records in terms of performance and earn serious money for the company (and for yourself).

What is important in experience (Hard-skills):

• experience as a game designer on mobile F2P projects with LiveOps — from 2 years for Middle, from 3+ years for Senior with ownership metrics cases;
• Understanding the cycle "hypothesis → design → release → analysis → iteration" is the ability not just to invent, but to verify and improve based on data.;
• skills of working with the game economy and balance — calculations of monetization, progression, rewards, retention vs revenue trade-off;
• knowledge of key metrics — R1–R28, ARPU, ARPPU, Churn, Conversion, Engagement, LTV; ability to read data in Dev2Dev (or equivalent) and set tasks for analytics;
• experience in creating GDD and TK — structured, understandable to developers, artists, analysts and QA; willingness to use AI to accelerate;
• understanding the LiveOps rhythm — events, seasons, content calendar, fast iterations without loss of quality;
• the skill of working with narrative and texts is the ability to write scripts, dialogues, UI copyright in a casual/social tone;
• a portfolio of completed commercial projects — indicating personal contributions, preferably with figures for increased engagement, monetization, or retention;
• knowledge of tools — Jira, Miro, Figma, Google Sheets, Confluence and confident use of AI (LLM) in work.

What is important in the style of work (Soft-skills):

• responsibility for the result is to link your actions to the KPI, not to shift responsibility to the producer or analyst.;
• initiative — independently find growth points in data, player behavior and calendar, and offer solutions first;
• Systems thinking is about seeing the connections between mechanics, economics, monetization, social loops, and narrative.;
• communication skills and teamwork — work in a strong GD team and with related roles without loss of ownership, be able to argue and hear others;
• Data reasoning — build any proposals on numbers and learning, not on "it seems to me" or "the players are asking";
• stress tolerance — LiveOps for 60M+ audience does not forgive mistakes, but you are ready to correct them quickly and learn;
• energy and drive — the interest in Kiss Me as the flagship product, with 60+ million live audience, the desire to improve the project, the willingness to accept the challenges of high-tempo live ops and to see the impact of their decisions in real metrics.

Where the role will be difficult

This role requires a combination of product thinking, analytics, and design courage. It can be difficult if you are closer to:

• work according to a clear statement of work from the producer, rather than independently searching for hypotheses;
• create beautiful mechanics without reference to business indicators;
• give away the document and forget about monitoring the implementation and analyzing the effect;
• Rely only on intuition, ignoring the data;
• avoid tight live-ops cycle deadlines and fast iterations;
• be a solo hero, not part of a strong GD team.

What is important in experience (Hard-skills):

• experience as a Senior level Game Designer from 3+ years in mobile F2P (merge, match-3, casual) with commercial releases;
• self—management of the product line - you formed the backlog, priorities and hypotheses yourself, worked without a permanent producer "for every sneeze";
• Data-driven practice — confident knowledge of metrics R1–R28, ARPU, ARPPU, churn, Retention D1/D7/D30, conversion, solutions backed by numbers and hypotheses with the expected effect;
• deep experience with FTUE and meta in merge / casual — understanding the start funnel, progression, orders, meta-loop (using the example of Gossip Harbor, Travel Town and market leaders).
• the skill of writing technical specifications and acceptance — your documents are accepted for development without massive reworking, you control the implementation on DEV and give a clear feedback.;
• using AI in your work — you are not afraid of neural networks, you use them to speed up routine (technical specifications, references, texts, balance, competitor analysis) and show specific scenarios.;
• tools — Jira, Confluence, Figma, Miro, Google Sheets, willingness to integrate into the pipeline of the project and the company;
• a portfolio with cases of impact on metrics — preferably with figures (was/ became by Retention, ARPU, conversions).

What is important in the style of work (Soft-skills):

• Product thinking — each feature is viewed through a goal, a metric of success, and a contribution to the overall product, rather than as a "mechanic for the sake of mechanics";
• Ownership and responsibility — you are responsible for the effect of your decisions, not just for the availability of the document; you bring it to the release and analyze the result.;
• initiative and proactivity — you find problems in the data and gameplay yourself, you offer solutions, you don't expect tasks from the art director or PM;
• high tempo and energy — ready for quick fixes, frequent releases, don't get stuck in perfectionism, know how to apply the 80/20 rule;
• systems thinking — you see the connections of core ↔ meta ↔ monetization ↔ retention ↔ live iterations and act taking into account dev capacities;
• clear communication — you write structured technical specifications without "water", you know how to negotiate with developers, artists, analysts, and the art director, and you defend your product position based on data, not emotions.;
• constructive conflict — arguing on scope and priorities, but always with argumentation and respect for the expertise of colleagues;
• stress tolerance — you work in conditions of a live project, urgent edits and pressure on metrics, maintaining quality and pace.

Where the role will be difficult:This position will require a combination of strategy, tactics and practical work. It won't fit if it's closer to you.:

• to wait for a detailed statement from the producer or art director - on MER, you define the tasks yourself.;
• write only documents, but don't dive into acceptance, analytics, and priorities.;
• making decisions based on "I like it that way" without hypotheses and metrics;
• focus on the "beautiful" mechanics, ignoring the failures in FTUE and the first sessions;
• work slowly, avoid frequent releases, or be afraid of neural networks;
• avoid responsibility for bugs and quality of implementation on DEV;
• do not have confirmed cases with an impact on Retention, ARPU, or conversion.