The AI Strategist will lead enterprise accounts, shape AI strategies, engage with C-level executives, and drive AI adoption and transformation by collaborating with cross-functional teams.

The AI Outcomes Manager is responsible for post-sales success, ensuring AI implementation meets metrics and drives customer value. This includes managing usage patterns, driving adoption, handling escalations, and acting as the voice of the customer to Product and Engineering teams.

The AI Implementations Manager leads the delivery of AI solutions, ensuring alignment with architecture, translating workflows, managing technical oversight, and facilitating stakeholder communication during implementation phases.

As an AI Application Engineer, build and deploy Agentic AI applications for Fortune 500 companies, analyze customer requirements, and enhance the GenAI performance.

The Enterprise BDR will drive outbound prospecting and develop relationships with enterprise stakeholders to generate sales qualified meetings, working closely with Sales and Marketing teams.

Lead product strategy and execution for Ema's core offerings, focusing on employee experience and enterprise AI solutions while collaborating with various teams for deployment.

The Senior AI Applications Engineer provides post-deployment support for AI solutions, ensuring high performance and customer satisfaction through technical expertise and problem-solving.

The Product Manager will define product strategy, conduct market research, collaborate with teams to develop products, and ensure successful product launches while tracking performance and iterating based on feedback.

The AI Strategist will lead strategic enterprise accounts, shape AI strategies, engage with C-level executives, and collaborate cross-functionally to drive AI adoption.

The AI Implementation Manager leads the delivery of AI solutions from design to rollout, ensuring alignment with architecture, overseeing technical aspects, collaborating with various teams, and maintaining delivery progress under pressure.

The Enterprise Sales Executive is responsible for lead generation, client engagement, pipeline management, negotiation, and closing enterprise deals in AI technologies.

The Sales Strategy and Operations Manager leads complex sales opportunities, develops ROI models, engages executives, and coordinates cross-functional input for compelling proposals.

The Infrastructure Engineer will design and build scalable infrastructures, automate tasks, optimize performance, and collaborate with product teams in a startup environment.

Develop and maintain enterprise software applications, focusing on back-end development, API development, and ensuring application security while contributing to software improvement processes.

The Customer Engagement Manager will oversee strategic enterprise accounts, ensuring delivery quality, managing relationships, driving outcomes, and facilitating growth through effective account management.

The Customer Engagement Manager will oversee a portfolio of strategic accounts, ensuring delivery quality, driving outcomes, and fostering commercial growth through strong relationships and effective orchestration of delivery teams.

Manage the administration of Thinkific LMS, ensure learner enrollment and certification, maintain content updates, and improve learner experience through insights and collaboration.

The Customer Engagement Manager owns strategic enterprise accounts, ensuring delivery quality, customer satisfaction, and commercial growth while managing delivery teams and stakeholder relationships.

The Chief of Staff will assist the CEO in strategic priorities, drive sales and product operations, manage investor relations, and oversee internal initiatives, ensuring organizational excellence and scaling efforts.

The AI Implementations Manager oversees the delivery and stabilization of AI solutions, ensuring alignment with architecture and managing complex integrations across teams and stakeholders.