Top Remote Artificial Intelligence Jobs

The Lead Product Manager will oversee the Pro and Enterprise products, focusing on product strategy, customer engagement, execution, and cross-functional collaboration to drive revenue and retention.

The Account Executive will manage enterprise sales cycles, build relationships with stakeholders, and align solutions with customer needs within the SaaS and cloud sectors.

As a Senior Forward Deployed Software Engineer, you'll partner with pharma clients to build scalable data-driven SaaS solutions while leading full-stack development within client environments.

As a Customer Success Manager, you will oversee significant mid-market accounts, managing client relationships, driving retention, and maximizing growth through upselling and advocacy while collaborating with cross-functional teams.

As a Solutions Engineer, you'll connect product, sales, and engineering by guiding customers through onboarding, crafting tailored solutions, and ensuring satisfaction through technical pre-sales conversations.

The role involves managing Facebook and Instagram ad accounts, building GHL automations, and integrating ads with CRM systems to optimize performance and troubleshoot issues.

The Senior Product Marketing Manager will define OpusClip's positioning, manage product launches, drive user adoption, and relay customer insights. Creative storytelling and marketing expertise are crucial.

The Business Development Representative is responsible for generating new clients and maintaining relationships to achieve sales targets. They will prospect actively, demonstrate product fit, manage customer interactions, and collaborate with cross-functional teams.

The Principal MLOps Engineer will design and deploy scalable MLOps infrastructure, manage ML workloads, and improve operational practices for AI systems in production environments while collaborating with cross-functional teams.

As a Data Scientist, you will analyze data, develop models, and provide actionable insights using machine learning and statistical methods. Consult on data mining and implement data-driven solutions while maintaining knowledge in emerging analytics techniques.