Jobs at Launchmetrics

Coordinates customer marketing programs, events, personalized content, workshops, outreach campaigns, account data enrichment, and reporting. The role partners with Sales and Customer Success to grow customer relationships, expand contact databases, identify account expansion opportunities, and develop tailored data stories for brands. It requires strong organization, communication, relationship-building, data interpretation, and campaign execution skills.

Design and own small SaaS product missions end to end, including feature design, user discovery, prototyping, stakeholder collaboration, adoption measurement, and iteration. The role focuses on transforming dense brand-performance data and AI-led insights into clear, engaging interfaces for fashion, lifestyle, and beauty customers. The associate will work within cross-functional pods, contribute to design tools and processes, and learn alongside senior product builders.

Build and maintain Databricks-based Lakehouse pipelines (batch and near-real-time) using PySpark. Design Delta Lake schemas, ensure pipeline reliability and cost efficiency, write tests, and collaborate with product and data teams to enable data enrichment and serving for internal and client products.

Build and maintain Discover features end-to-end, focusing on React/Redux frontend expertise and full-stack development with Node.js. Architect databases, collaborate with product/design/QA, write tests and clean code, drive AI-led improvements, optimize performance, and reduce architecture complexity.

Lead global content and social strategy to amplify Launchmetrics' voice, drive thought leadership, and generate leads. Oversee editorial and social calendars, approve content, measure performance with KPIs, embed AI-driven workflows, and collaborate cross-functionally while managing and developing the Content team.

Design, build, and maintain scalable back-end systems (PHP/Laravel/MySQL) and front-end features (React/TypeScript). Develop APIs, write unit tests, manage dependencies, contribute to architecture and code reviews, and apply AI-assisted development tooling to accelerate delivery while ensuring code quality and maintainability.