Spontaneous application QHSE-s

Leads Affirm’s zero-to-one product initiatives in partnership with the CEO and executive team. Owns product vision, strategy, roadmaps, customer discovery, prototyping, experimentation, launches, and iteration for new products and platforms. Coordinates engineering, design, data, risk, legal, operations, and revenue teams without direct authority. Defines success metrics, analyzes customer behavior, communicates tradeoffs, and establishes repeatable product development standards.

Lead the AI Quality engineering team while remaining hands-on building evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and CI/CD pipelines for production AI agents. Run experiments across prompts, models, routing, caching, and agent harnesses to improve quality, latency, and cost. Partner with AI Core engineering and manage technical direction and team priorities.

Build and own scalable backend systems for campaign creation, content assembly, audience targeting, scheduling, and delivery across multiple channels. Design fault-tolerant distributed services, ensure reliability through observability and alerting, and deliver features from architecture through production support. Collaborate cross-functionally, mentor junior engineers, and promote testing, code quality, and engineering best practices.