10Beauty

• Design, build, and maintain scalable ETL/ELT pipelines that ingest and process large volumes of operational and machine-generated data • Architect and manage the company’s data warehouse and overall data infrastructure strategy • Develop reliable systems for data collection, transformation, storage, and retrieval • Create scalable data models that support analytics, business intelligence, operational monitoring, and future machine learning applications • Partner closely with software, robotics, product, and operations teams to define data requirements and improve data accessibility • Implement data quality, governance, observability, and monitoring processes to ensure data integrity and reliability • Optimize database and warehouse performance, scalability, and cost efficiency • Build tools and infrastructure to support reporting, dashboards, and internal analytics workflows • Help establish best practices around data architecture, pipeline reliability, documentation, and engineering standards • Support future real-time and streaming data initiatives across connected robotic systems

• Design, develop, and deploy scalable and reliable full-stack cloud applications using a variety of technologies • Build user-friendly web interfaces and APIs for controlling robot behavior, configuring tasks, and managing deployments • Develop robust backend systems for processing and storing real-time telemetry data, sensor readings, and operational logs from robots • Implement data visualization tools and dashboards to provide insightful reporting and analytics on robot performance and operational efficiency • Collaborate closely with embedded engineers, AI/ML specialists, and business owners to understand requirements and translate them into technical solutions • Design and implement secure and efficient data communication protocols between robots and the cloud • Contribute to the development and maintenance of our cloud infrastructure (e.g., AWS, Azure, GCP) • Implement and maintain CI/CD pipelines for automated building, testing, and deployment of cloud applications • Monitor application performance, troubleshoot issues, and implement solutions to ensure high availability and reliability • Contribute to the architectural design and technical roadmap of our cloud platform • Participate in code reviews and contribute to maintaining high code quality standards • Document technical designs, APIs, and deployment processes

• Own and execute the full-funnel growth strategy - developed in lockstep with Brand - across awareness, acquisition, conversion, retention, and referral • Collaborate with Brand team on development of the full consumer journey, ensuring that neither growth nor brand is upstream or downstream from the other • Build and scale acquisition channels across paid social, search, partnerships, email, and local activation, while ensuring all tactics are consistent with brand identity and positioning and support brand-building objectives • Lead performance marketing with a strong focus on CAC, ROAS, conversion rate, repeat rate, and customer lifetime value • Design and run rapid experiments across landing pages, offers, and lifecycle campaigns, with creative and messaging direction developed in collaboration with brand • Build retention and CRM programs that increase engagement, repeat usage, and loyalty • Partner closely with operations, product, sales, and leadership to improve customer experience and drive growth at the site level • Own growth analytics, reporting, attribution, and KPI tracking to inform decisions and resource allocation • Co-create (with brand and customer teams) the playbook for launching new sites and cities, ensuring local growth activation reflects brand standards in every market and supports retail partner relationships • Provide strategic input re:including audience fit, reach, and performance benchmarks to help inform brand's influencer selections and creative