Leadtech Group

Communications

• Lead the internal and external communications strategy and operations for Leadtech Group
• Manage a small team focused on content and UX/design
• Define both the 'what' and the 'how,' co-create with the team, and actively participate in the company's most critical projects
• Act as the guardian of the corporate narrative across all brands and business units
• Play a key role in managing communications related to the company's partial sale process
• Design and execute the internal communications strategy for the company's 900 employees
• Lead communications related to the partial sale process (carve-out)
• Create and maintain internal communication channels
• Collaborate closely with the HR Business Partner team
• Manage corporate communications with media, external stakeholders, and institutions
• Oversee press releases, corporate announcements, and communication materials related to investors
• Monitor and manage the online and offline reputation of Leadtech Group and its brands
• Design and implement the corporate reputation crisis management plan
• Manage the company's presence and reviews on employer branding platforms
• Define and execute a differentiated employer branding strategy for each Group brand
• Partner with the Talent Acquisition team to align employer branding communications
• Produce engaging and authentic content
• Lead the Group's corporate social media strategy
• Establish a communications governance model with clear approval, publication, and crisis management processes
• Collaborate closely with various departments to develop the internal narrative around AI adoption
• Support the AI Transformation Committee by preparing presentations, executive updates, and communication materials

Head of Communication

AI Engineer

• - Lead and mentor a cross-functional engineering team, fostering a culture of collaboration, innovation, and continuous improvement, with a strong focus on AI adoption.
• - Drive the design, implementation, and evolution of AI-powered solutions, particularly AI agents, to enhance software development workflows, developer productivity, and operational efficiency.
• - Act as a hands-on technical leader, actively contributing to system design, code reviews, and the development of AI-driven capabilities integrated into the platform.
• - Identify and prioritize high-impact opportunities to leverage AI across the software development lifecycle, including code generation, testing, debugging, incident analysis, and documentation.
• - Architect and implement scalable and secure systems that combine traditional backend engineering with AI components (e.g., LLM integrations, RAG pipelines, agent-based workflows).
• - Collaborate with product, engineering, and business stakeholders to define AI use cases aligned with company goals and deliver measurable impact.
• - Establish best practices for building, evaluating, and maintaining AI systems in production, including observability, performance, cost control, and reliability.
• - Drive the adoption of AI tools and practices across engineering teams, acting as a mentor and enabler for developers to effectively leverage AI in their daily work.
• - Ensure that AI implementations comply with security and regulatory requirements (e.g., PCI DSS, GDPR, DORA), especially in the context of sensitive financial data.
• - Mitigate technical risks related to both traditional systems and AI components, ensuring platform stability, resilience, and trustworthiness.
• - Contribute directly to the development of high-quality, high-performance software solutions, maintaining a strong hands-on involvement.
• - Diagnose and resolve complex issues in production environments, including those involving AI systems and agent-based workflows.
• - Drive technical decision-making, balancing innovation in AI with long-term scalability, maintainability, and business impact.
• - Drive technical decision-making, balancing long-term scalability with immediate business needs.
• - Foster a culture of innovation, collaboration, and accountability across technical teams.

AI Engineering Team Lead

Procurement

• Implement defined procurement plans
• Manage supplier engagements
• Ensure cost-effective and compliant purchasing processes
• Execute end-to-end procurement cycle for software and technology services
• Manage RFP, RFI, and RFQ processes
• Conduct negotiations within defined approval frameworks
• Support contract drafting, renewals, and amendments with Legal and Finance
• Monitor license consumption and subscription usage
• Perform spend analysis and total cost of ownership assessments
• Partner with cross-functional teams

IT Procurement Specialist – Technology

Full-stack Engineer

• Develop and maintain features on our Next.js (App Router) frontend using TypeScript, SWR, Tailwind, and a component-driven design system, with full internationalization (i18n) support.
• Design, implement, and maintain RESTful APIs with NestJS (TypeScript) to manage authentication, data processing, billing, usage tracking, and orchestration of AI workflows.
• Own backend services end-to-end: from schema design and migrations to deployment and observability, and contribute to new services as the product surface grows.
• Integrate and maintain third-party SDKs and APIs that power critical product flows, including payment processing, authentication, analytics, and messaging.
• Build AI agents and tools using the Claude SDK and Model Context Protocol (MCP): giving LLMs real-time access to data, APIs, and tools so they can take meaningful actions on behalf of users.
• Contribute to schema design with Prisma and PostgreSQL, write and review migrations, and reason carefully about data models that evolve safely over time.
• Implement and maintain feature flags, A/B experiments, and analytics events so product decisions are driven by data.
• Handle incoming webhooks and asynchronous task processing with the rigor required for payment-critical and PII-handling code paths (idempotency, retries, fault tolerance).
• Collaborate with AI product managers and AI specialists to translate complex requirements into robust, scalable features — and push back on complexity when a simpler path exists.
• Collaborate on application deployment and help maintain our cloud infrastructure.

AI Full Stack Developer

• As part of the Development team as a Full-Stack Developer, you will be instrumental in building and scaling our platforms and products.
• You will work across our entire A.I technology stack to deliver a seamless and powerful user experience.
• You will be joining projects with a shipping fast approach and a modern tech stack.
• Design, implement, and maintain RESTful APIs with NextJS/Express to manage user authentication, data processing, and orchestrate analysis workflows.
• Model Context Protocol (MCP) Knowledge Agents with Claude SDK: to Build AI agents access to real-time data, APIs, and tools Create AI Agents that can actually take actions, Combine the reasoning power of LLMs with real-world integration.
• Build AI Agents with LangGraph + LangFuse that can handle multi-step reasoning, Create workflows where AI agents collaborate or hand off tasks to other agents. Maintain conversation state and context across interactions and Handle complex decision trees and conditional logic.
• Develop and maintain features on both our React frontend and Node.js (NextJS) backend.
• Build intuitive user interfaces using TypeScript, Vite, React and our UI component library, enabling users to upload media, manage their analyses, and interact with our web delivered product.
• Integrate our platform with various external services like Payment Service Providers and APIs, and handle incoming webhooks for processing asynchronous tasks.
• Collaborate closely with AI product managers and AI specialists to translate complex requirements into robust, scalable features expressed in AI design prompts.
• Contribute to database schema design and write migrations for our PostgreSQL & BigQuery databases.
• Knowledge of GCP to Collaborate with the team on application deployment and help maintain our cloud infrastructure on Google Cloud Platform.

Senior Full Stack Developer, AI

Manager

• Design, implement, and optimize waterfalls on mediation platforms (AppLovin MAX, IronSource/Unity LevelPlay, AdMob / Google Ad Manager).
• Configure and manage dynamic floor prices and real-time bidding (in-app bidding) to maximize eCPM.
• Evaluate and onboard new ad networks and programmatic demand.
• Monitor key KPIs: eCPM, fill rate, ARPDAU, ad revenue per session, impression share.
• Run cohort analyses and A/B tests on ad formats, frequencies, and integrations.
• Identify data-driven improvement opportunities using BI tools (Looker, BigQuery, Amplitude).
• Define the ad format strategy per app: interstitials, rewarded, banners, native, MREC.
• Ensure the right balance between ad monetization and user experience, reducing ad-induced churn.
• Collaborate with Product to properly integrate ad placements into the user flow.
• Manage relationships with ad networks (Meta Audience Network, AppLovin, IronSource, Mintegral, Vungle, InMobi, etc.).
• Negotiate guaranteed deals and header bidding arrangements with strategic partners.
• Stay up to date on programmatic market trends and policy changes (ATT, privacy).
• Ensure compliance with App Store, Google Play, and individual ad network policies and guidelines.
• Implement brand safety measures, ad quality filters, and advertising inventory review processes.

Ad Monetization Manager

Product Manager

• We're looking for a Senior Product Owner with real experience in digital ecommerce products and direct ownership over the payments and checkout area.
• This is not a "ticket manager" role. We want someone who understands the business, challenges assumptions, speaks engineering's language without losing sight of the user, and knows that behind every lost conversion point in checkout there's a product decision that was (or wasn't) made correctly.
• One more thing: we don't care what you studied 🎓. Journalism, Business, a Web Dev bootcamp, Philosophy… degrees are fine, but what matters here is what you can do, how you think, and what you've delivered.

Payments Product Owner

AI Research Scientist

• At Leadtech, we’ve been redefining digital businesses since 2009, creating innovative online solutions that reach millions of users every month. With a diverse team of over 700 members from 23+ nationalities, we’re united by a passion for creativity and collaboration.
• We specialize in delivering user-centric experiences across web and mobile platforms, where people can connect with our products like never before.
• We’re proud of our global reach and committed to fostering an inclusive workplace where every individual contributes to our shared vision of bringing cutting-edge projects to life. Learn more about our journey and mission on our About us! page!
• **About the role**Leadtech’s AI-LAB is an applied research unit embedded inside Leadtech. Our mandate is simple: take state-of-the-art AI research, prototype it fast, and ship it into products that millions of people use across Image, Video, Document, and Voice & Translation categories.
• This is not a publish-papers lab. Every project is measured by whether it reaches production and creates measurable business impact. You’ll work with high autonomy, move quickly between research and implementation, and own your work end-to-end.
• **Y**ou identify recent advances in AI (models, techniques, architectures), evaluate their applicability to our products, prototype rapidly, and work with engineering teams to bring successful experiments into production.