PEOPLE HUNT | iGaming | IT | FinTech | Crypto

• Develop and expand partnerships with online casino operators and aggregators • Drive GGR growth and commercial performance across the partner network • Manage the full business development cycle from outreach to signed agreements and launch • Ensure successful partner onboarding, game integration, launch quality, and game visibility • Promote and scale new products across existing and new markets • Build and maintain long-term strategic relationships with key industry stakeholders • Collaborate cross-functionally with product, integration, certification, and account management teams

• Lead and manage commercial operations including sales, account management, and customer support • Develop and execute the company’s commercial strategy • Scale B2B partnerships and sales pipelines across international markets • Own and monitor commercial KPIs, SLA performance, and operational efficiency • Drive revenue growth, profitability, GGR, ROI, and ROMI performance • Optimize and automate internal commercial processes • Build transparency through forecasting, reporting, and analytics • Lead enterprise-level negotiations with key partners and stakeholders • Expand existing client relationships through upsell and cross-sell strategies • Develop and mentor the commercial management team

• Develop and expand partnerships with online casino operators and aggregators • Drive GGR growth and commercial performance across the partner network • Manage the full business development cycle from outreach to signed agreements and launch • Ensure successful partner onboarding, game integration, launch quality, and game visibility • Promote and scale new products across existing and new markets • Build and maintain long-term strategic relationships with key industry stakeholders • Collaborate cross-functionally with product, integration, certification, and account management teams

• Design and launch multi-stage user journeys and trigger-based communication flows across CRM channels (email, push, SMS, in-app). • Own bonus and promotional mechanics end-to-end: calculate cost, expected value, and risk, then configure campaigns within the CRM platform. • Build and maintain advanced audience segmentation, ensuring clean data structures, proper exclusions, and validation. • Create CRM copy and campaign templates for all communication channels. • Conduct QA checks before campaign launches (rendering, personalization logic, journey flows, bonus mechanics). • Run A/B tests and analyze lifecycle performance. • Track and optimize key CRM metrics including open rate, CTR, conversion rate, and deliverability. • Produce weekly and monthly performance reports with actionable insights. • Maintain internal documentation, naming conventions, and CRM knowledge base. • Collaborate cross-functionally with product, design, and support teams to improve the user lifecycle.

• Drive and scale B2B business development within the iGaming sector (EU & CIS) • Identify, engage, and acquire iGaming operators with VIP player segments • Own the full sales cycle: lead generation, outreach, negotiation, and deal closure • Build and manage a strong pipeline of high-value opportunities • Analyze and optimize sales processes to unlock growth opportunities • Strengthen Luxorr’s market presence through B2B content and social media activity • Represent the company at international industry events (e.g., ICE, SiGMA)

• Drive B2B sales of iGaming platform solutions across Europe • Identify, engage, and acquire new operators, aggregators, and strategic partners • Develop and execute regional sales strategies aligned with revenue targets • Manage the full sales cycle: lead generation → negotiation → deal closure • Build and maintain strong relationships within the iGaming ecosystem • Conduct market research on trends, competitors, and opportunities • Represent the company at industry events, conferences, and networking forums • Collaborate with internal teams (Marketing, Product, Leadership) • Maintain accurate pipeline tracking and sales forecasts

• End-to-end campaign management in DSP platforms • Setup, launch, optimization, and scaling of Web & In-App campaigns • Continuous traffic performance monitoring • Deep analysis of key metrics: CTR, CPM, CPC, CPA, ROI/ROAS, LTV • Development of advanced retargeting strategies (re-engagement, churn prevention) • Audience segmentation using 1st and 3rd party data • Design and execution of A/B tests (creatives, bids, placements) • Performance evaluation of DSPs and publishers

• Business Account Ownership • Deep understanding of the client’s business model • Defining partnership objectives • Managing expectations • Identifying churn risks early • Maintaining trust at the decision-maker level • Retention Monitoring • Monitoring early dissatisfaction signals • Proactively mitigating risks • Preventing escalations • Ensuring long-term cooperation • Expansion / Upsell • Initiating expansion opportunities • New traffic streams • New GEOs • Volume increases • Evaluating upsell feasibility and financial impact • Ensuring growth does not break delivery • QBR & Business Reviews • Leading monthly and quarterly business reviews • Presenting: What happened, Why it matters, What’s next • Defining strategic next steps • Communication Management • Building clear client-facing action plans • Documenting agreements • Synchronizing client expectations with internal teams

• Recruit, onboard, and manage affiliates, media buyers, and partners targeting the Turkish market • Develop and execute affiliate growth strategies to drive traffic, registrations, and revenue • Maintain strong relationships with existing affiliates to maximize performance and retention • Negotiate commercial terms, CPA, revenue share, and hybrid deals • Monitor affiliate performance, fraud prevention, and traffic quality • Work closely with marketing, product, and compliance teams • Track KPIs, prepare performance reports, and optimize campaigns

• Maintain and evolve an existing recommendation system in a multi-tenant environment • Bring models from experimentation into production and improve their real-world performance • Build and support end-to-end ML pipelines : training, validation, deployment, retraining • Optimize training/inference workloads for latency, reliability, memory usage, and scalability • Integrate ML inference into Python-based backend services and collaborate with backend/data teams • Define and track model KPIs linked to product and business impact (engagement/retention/revenue) • Improve data quality , feature availability, and feature pipelines (Airflow-based workflows) • Set up monitoring for model health: drift, degradation, anomalies, incident response • Run controlled experiments (A/B tests), analyze results, and translate insights into improvements • Document model behavior, assumptions, and operational runbooks • Contribute to architecture decisions for scalable ML infrastructure and deployment practices