Top Remote Artificial Intelligence Jobs

The Sales Manager will identify leads, manage accounts, engage customers in defense and commercial sectors, and sell AI-enhanced battery cells for drones and robotics.

Own and execute multi-channel demand generation programs (email, paid search/social, content syndication, webinars), manage HubSpot workflows, align with sales/product, optimize campaigns for MQLs/SQLs, build reporting and attribution, and iterate using data and AI tools to grow qualified pipeline.

As an Associate Account Executive, you will generate leads, manage the sales pipeline, and collaborate with the sales team to engage potential clients and drive early-stage sales.

Join a lean team focused on AI and decentralized technology, fostering communication and collaboration in a remote environment. Share your vision for impactful work.

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 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.

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.

The Enterprise Account Executive is responsible for acquiring and expanding relationships with large enterprises, leading complex sales cycles, generating pipeline, and executing strategic account plans while collaborating with internal teams to ensure exceptional customer experiences.

The Strategic Partnerships Manager develops and executes regional strategies to enhance partnerships, drives sales growth, collaborates with teams, and oversees pipeline management.

The Senior Product Manager will define the product strategy and roadmap for AI and data products, lead product initiatives, and collaborate with engineering and data science teams. The role requires transforming complex problems into actionable products that enhance healthcare decision-making.