Top Tech Jobs & Startups Jobs

The Software Engineer on the Growth team at Scale AI will own product areas, build features from front-end to back-end, and deliver high-quality experiments to engage customers. They will collaborate with cross-functional teams and have a significant influence on the engineering culture and processes.

The Fraud Product Manager will develop and enhance fraud prevention systems and detection features utilizing AI and machine learning. Responsibilities include managing the end-to-end product development process and collaborating with cross-functional teams to ensure a high-integrity platform. This role is crucial for maintaining trust and compliance with industry standards.

As a Strategic Product Manager, you will work with teams to develop new products or enhance existing ones to fulfill strategic customer needs. You will derive actionable insights from competitive and market intelligence while developing data sets to improve ML models. You should be comfortable managing technical partnerships and solving complex problems in high-stakes environments.

The Technical Writer will create and edit technical content like blogs, guides, and whitepapers to educate audiences on AI/ML. Responsibilities include researching complex concepts, collaborating with cross-functional teams, and improving content strategies.

The Prompt Engineer will develop applications for evaluating data quality, find vulnerabilities in LLMs, create scripts in Python and TypeScript, analyze prompt results, and teach new methods to staff. They will work alongside ML and software engineers to enhance model capabilities and safety.

The Senior Strategic Projects Lead for Generative AI will oversee and lead cross-functional projects, enhance existing products, and manage data labeling operations. This role demands a strong technical background and experience in product management and operational processes for generating significant revenue growth.

The Engineering Manager will oversee the development and management of large-scale AI data projects. They will collaborate with internal and external teams, mentor engineers, and manage the entire product lifecycle from conceptualization to production, delivering high-quality product features in a fast-paced environment.