You will be responsible for end-to-end testing of platform features, including frontend, backend, and API integrations. Additionally, you will investigate defects, maintain test documentation, and collaborate with the automation team to improve quality processes.
Candidates will contribute to various departments including product, engineering, marketing, and data to build mobile applications. You will be expected to take ownership of meaningful challenges and leverage AI tools to improve product development.
You will be responsible for designing and managing scalable cloud infrastructure, Kubernetes environments, and CI/CD pipelines. Additionally, you will ensure system reliability, optimize performance, and collaborate with engineering teams to support product growth.
You will own and develop the LTV prediction algorithm by prototyping improvements in SQL and validating forecasts against actual data. Additionally, you will conduct end-to-end analytical research to provide actionable recommendations for Product, UA, and Finance teams.
You will own and scale Meta Ads campaigns end-to-end while managing large budgets with a focus on ROAS and LTV. Additionally, you will operate and improve UA automation algorithms while collaborating with product and creative teams on funnel experiments.
You will own the end-to-end product design process, from identifying user problems to building and testing functional prototypes. You will work as a peer to the product manager to define hypotheses, measure success, and iterate on mobile educational features.
The Product Manager will own the end-to-end mobile app lifecycle, from defining the product vision and roadmap to hands-on delivery. Key duties include conducting product discovery, running experiments, and optimizing workflows using AI.
Lead the establishment and evolution of the BI & Analytics unit to drive data-driven decision-making across the company. Manage the Data Platform and provide strategic insights for Marketing, Product, and Monetization functions.
Develop and build backend services for the StellarTech Platform from scratch, focusing on new functionality and external integrations. Ensure the platform's performance, stability, and reliability while contributing to microservice and event-driven architectures.
Build product analytics for the core platform by defining key metrics, events, and funnels to evaluate user experience. Translate user behavior into actionable recommendations to support data-driven decisions and roadmap prioritization.
Own and scale the Google Ads channel end-to-end, focusing on ROI and campaign architecture across Search, GDN, and Performance Max. Develop automation systems and collaborate with product teams to improve conversion efficiency and funnel performance.
Drive the creative vision and strategy for an EdTech product by developing innovative marketing campaigns to increase user acquisition. Lead brainstorming sessions and manage the production of advertising creatives across various platforms.
Lead backend technical direction and architecture within a cross-functional product team to deliver scalable solutions. Manage backend engineering execution, team organization, and the operational health of services while integrating AI tools for productivity.
Lead a specialized engineering squad to technically resolve complex user issues and architect automation solutions to prevent recurrence. Act as the primary technical bridge between customer support and engineering teams while overseeing LLM-based AI agent delivery.
