Top Tech Jobs & Startup Jobs in London

Leads Preply’s MarTech product organization across multiple squads, defining strategy, hiring and coaching product leaders, and scaling marketing through automation. Owns growth, subscriber acquisition, revenue, and CPA outcomes with Marketing leadership. Develops AI-native capabilities for search, advertising, and marketer workflows while balancing build-versus-buy decisions, data pipelines, channel integrations, experimentation, and global market relevance.

Lead Preply’s engineering talent acquisition function across global hubs. Manage TA Partners, personally handle complex technical searches, translate workforce plans into hiring strategies, improve recruiting processes, track funnel and pipeline metrics, lead interviewer calibration, strengthen sourcing and employer branding, and coach the team. Partner with senior engineering leaders, including the CTO, to deliver high-quality hiring outcomes while improving candidate experience, consistency, speed, and recruiting effectiveness.

The Senior Visual Designer will shape Preply’s brand within digital products, partnering with Product Designers, Product Managers, Engineers, and Brand teams. Responsibilities include leading visual concepts and executions, developing solutions across typography, illustration, photography, motion, and 3D, building reusable visual systems, influencing product decisions, mentoring designers, and supporting implementation quality. The role also involves creating AI-powered imagery workflows, maintaining visual standards, and managing priorities across multiple product squads.

Lead the end-to-end launch of Preply Pro, an AI-first freemium product, and manage strategic cross-functional initiatives. Own product strategy, roadmap, pricing, packaging, business case, conversion and retention metrics, stakeholder alignment, customer insight, experimentation, and execution across multiple squads and functions. The role requires operating without a dedicated squad while coordinating resources to deliver measurable commercial and customer outcomes.

Develop and own backend features and services using Python and Django, including third-party integrations. Collaborate cross-functionally to build scalable products, participate in A/B testing, troubleshoot issues, and improve system quality through testing, monitoring, code reviews, and scalability practices. Senior engineers guide technical decisions, use agentic AI responsibly, support occasional JavaScript or TypeScript work, and participate in an on-call rotation.

Build and lead development of Preply’s CRM communications platform. Develop backend services with Python/Django and frontend experiences with React/TypeScript, integrate third-party CRM systems, and create automation and AI-assisted workflows. Own complex initiatives from discovery through deployment, shape scalable architecture, improve observability and reliability, mentor engineers, and partner cross-functionally on experimentation and measurable product outcomes. Participate in on-call rotation and promote engineering best practices.

Own 3–12 month strategic transformation projects spanning retention, monetization, market expansion, partnerships, and M&A evaluation. Lead cross-functional teams, structure ambiguous problems, conduct data-driven analysis and market research, align senior stakeholders, manage workstreams, resolve risks, and deliver measurable business outcomes. Prepare executive and board-level narratives and recommendations while influencing leaders without formal authority.

Lead and grow a Fraud Operations team owning strategy, investigations, chargeback management, KPIs, governance, and cross-functional collaboration with Product, Payments, and Finance to reduce financial exposure and improve detection.

Lead visual and brand design for Preply’s digital product experiences. Partner with Product Designers, Product Managers, and Engineers to shape initiatives, develop polished visual solutions, evolve reusable design systems, and ensure high-quality implementation. The role spans typography, illustration, photography, 3D, iconography, motion, and AI-generated imagery, while influencing creative direction and enabling teams through scalable visual guidelines and workflows.

Develops data science and machine learning solutions for paid marketing optimization. Responsibilities include creative performance modeling, conversion-lag prediction, value-based bidding, uplift modeling, causal inference, experiment design, and audience optimization. Partners with marketing, MarTech, Applied AI, CRM, and data engineering teams to improve channel ROI, build scalable pipelines, and translate ambiguous business questions into measurable solutions.