Top Tech Jobs & Startup Jobs

The Senior Software Engineer will solve technical problems and deploy solutions for customers, building end-to-end features and collaborating with cross-functional teams. Responsibilities include delivering high-quality experiments, interacting with customers to understand needs, and influencing team culture.

The Strategic Account Executive will drive revenue growth in the Generative AI vertical, manage strategic accounts, and work cross-functionally to ensure customer success. Responsibilities include developing solution strategies, conducting negotiations, and achieving client satisfaction while building relationships with technical and business audiences.

The Technical Recruiter will lead the full lifecycle recruitment process for Software Engineers at Scale AI, partnering with hiring managers and using data insights to optimize recruitment strategies. Responsibilities include developing job descriptions, fostering relationships with candidates, ensuring diverse hiring practices, and influencing hiring decisions based on best practices and data metrics.

The Software Engineer for the GenAI Outlier team will develop and own features across the product lifecycle, ensuring high-quality output and engaging user experiences. Responsibilities include system design, debugging, mentoring peers, and collaborating with cross-functional teams to ship product features. Ideal candidates will thrive in a fast-paced tech environment with a strong product development background.

The Software Engineer in the GenAI Operator Group is responsible for solving technical problems, interacting with customers to design solutions, and building features end-to-end. The role involves delivering high-quality experiments quickly and collaborating with cross-functional teams to define and ship new product features.

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.