Top Tech Jobs & Startups Jobs

Lead proactive engagements with customers, conduct technical onboardings, training and demos, develop tailored success plans, and contribute to product development. Drive customer success in an early-stage startup environment by exceeding goals and fostering strong relationships.

Seeking a UX Research Lead to shape the future of user research at Otter.ai, overseeing all facets of user experience research, analyzing data, and turning insights into actionable improvements. Responsibilities include setting up research processes, organizing insights, advocating for diverse user base, collaborating across the org, and mentoring team members. Qualifications include a degree in HCI or Psychology, 5+ years of experience in user experience research, strong analytical skills, and proficiency in creating research artifacts. Preferred skills include familiarity with voice and AI-driven products, knowledge of accessibility standards, and proficiency in UX design tools. Otter.ai is in the business of making conversations more valuable through meeting transcription and collaboration using artificial intelligence. Equal opportunity employer dedicated to inclusivity.

Research Engineer specializing in model optimization and integration into production environments. Responsible for optimizing and deploying machine learning models for real-time applications, ensuring low latency and high throughput. Collaborate with cross-functional teams to meet requirements and constraints. Requires 5+ years of experience and a Master's or Ph.D. in computer science or related field.

Develop cutting-edge AI technology for meetings and conversations, contribute to product development, leverage NLP expertise, shape company's research agenda, collaborate with ML engineers, and work in a Linux environment.

Develop cutting edge AI technology to help people extract unparalleled value from meetings and conversations. Leverage NLP expertise to design neural net architectures and optimize training pipelines. Drive research agenda to develop new capabilities using large-scale conversational data.

Research Engineer on the Platform team responsible for model optimization and deployment in real-time applications. Collaborate with ML researchers, integrate models into production systems, optimize for low latency and high-throughput, and ensure scalability and resource efficiency. Provide technical expertise and documentation throughout the model development lifecycle.

Lead the development of a responsive, mobile-first single-page web application, write clean and reusable code, test for security and performance, participate in code standards and reviews.