Top Artificial Intelligence Jobs

As a Software Engineer on the Distributed Systems team, you will work on building scalable distributed systems, ensuring reliability, debugging production issues, and improving code quality. Projects involve addressing performance limitations and optimizing data processing capabilities.

The Head of Communications at AssemblyAI will develop and execute global PR and communication strategies, manage internal and external communications, and partner closely with executives to enhance the company's narrative and visibility in the Speech AI space.

The Senior Software Engineering Manager will lead the engineering team in developing AI-based robotic solutions, manage software platforms, collaborate across teams, and focus on building complex, real-time software systems. Responsibilities include integrating sensors, working with machine learning models, and recruiting top talent.

As a Senior Technical Product Manager, you'll lead product development of wearable biosensor products, collaborating with engineering teams, managing vendor relationships, and conducting usability testing. Your role involves aligning user needs with business goals and driving impactful product roadmaps under regulatory controls.

The Partnership Acquisition Manager will identify, onboard, and manage new partners across various industries. The role involves building strong relationships with stakeholders, executing go-to-market strategies, collaborating with sales and marketing teams, and ensuring partner compliance and performance metrics tracking.

The Product Specialty BDR at Tricentis is responsible for leading outreach to targeted accounts, managing inbound lead flow, conducting discovery conversations, generating qualified meetings for the sales organization, and collaborating with marketing teams. They will utilize industry knowledge to research accounts and create engagement strategies while tracking all activities using Salesforce.

The AI Engineer will design and develop deep learning models for analyzing large sets of high-resolution image data, integrate their development into a cloud-based processing pipeline, and will be responsible for data labeling strategies and model performance tracking.