You will design and build core platform primitives for agentic AI systems, including memory, context management, and background execution. You will also create infrastructure for model training and evaluation while ensuring production-ready reliability and performance.
You will drive the creation of new products on the frontier of human-computer interaction by developing hypotheses, building prototypes, and testing them with users. You will also partner with the ML team to create a feedback loop and own the direction and implementation of successful product areas.
You will lead the quality practice by developing and maintaining automated test suites for desktop, mobile, and backend systems. Additionally, you will partner with engineering and product teams to establish release gates and ensure high-quality user experiences.
Architect and ship backend systems to support enterprise customer adoption and scaling. Develop secure, durable capabilities including identity management, auditability, and multi-tenant infrastructure.
You will own the development of core systems for voice interface products, including detection, inference, and delivery mechanisms. You will also partner with cross-functional teams to solve complex quality problems and establish repeatable, scalable system architectures.
You will build end-to-end verification and evaluation loops to enable AI agents to complete tasks with confidence. Additionally, you will operate the agent fleet as a production system while measuring quality, adoption, and performance impact.
You will own the activation curve by managing onboarding, habit formation, and the path from trial to regular product usage. You will also ship experiments, analyze results, and close funnel gaps across the product experience.
You will build and scale enterprise-grade product experiences, including administration, permissions, and analytics features. You will work across the full stack to turn complex customer requirements into simple, polished, and high-performance interfaces.
Own end-to-end product security by prioritizing threats and architecting defenses across various platforms. Integrate security into the development lifecycle through early design reviews and platform-level safeguards.
Lead the creative direction for product launches and marketing campaigns across web, email, paid media, and social channels. Translate complex AI product capabilities into simple, human, and high-converting visual stories.
