Jobs at Yubo

Build and operate production machine learning systems for recommendations, content moderation, safety, and product optimization. Responsibilities include model development, deployment, monitoring, lifecycle management, legacy model modernization, reusable ML platform components, and technical leadership. Collaborate with Data Engineering, MLOps, Backend Platform, and Product teams to improve reliability, observability, and organizational ML maturity.

Build Yubo’s PR function from scratch across the US, UK, and France. Responsibilities include managing the PR agency, developing communications strategy and calendars, leading proactive and reactive media relations, identifying data- and culture-led stories, advising leaders on reputation, supporting crisis communications, and coordinating with Brand, Product, Data, Trust & Safety, and Legal teams.

Manage and optimize multi-country user acquisition, paid media, creative testing, and reactivation campaigns for a B2C social app. Own channel portfolios, improve ROAS through attribution and incrementality testing, collaborate with Creative, Product, Data, and Engineering, and support ASO, lifecycle marketing, retention, monetization, automation, and AI-enabled growth initiatives.

Lead end-to-end mobile product design initiatives from discovery through delivery and post-launch iteration. Partner with Product, Engineering, Data, Marketing, Legal, and Trust & Safety to shape strategy, test experiments, and improve growth, retention, monetization, usability, accessibility, and visual quality. Use research, analytics, prototypes, and user feedback to guide decisions while contributing to Yubo’s design system and delivering polished iOS and Android experiences.

Own a strategic product area end to end, from problem discovery and strategy through delivery, experimentation, and iteration. Partner with Design and Engineering to build scalable consumer experiences, using data, research, feedback, and product judgment to prioritize opportunities. Collaborate with Data, Machine Learning, Marketing, Trust & Safety, and Legal while balancing user value, growth, monetization, safety, and technical constraints. Drive measurable improvements in retention, engagement, recommendations, monetization, or trust.

Design, build, and operate high-risk backend experiments end-to-end for ambitious product bets. Ship resilient, scalable, and cost-efficient systems; define and instrument success metrics; iterate quickly based on results; diagnose production issues; contribute RFCs, documentation, and mentorship to improve team practices.