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Lead and scale Ema’s global Customer Engagement function while personally overseeing strategic enterprise accounts. Build repeatable delivery, onboarding, hypercare, adoption, change-management, and value-realization methodologies. Own portfolio metrics, delivery economics, capacity planning, executive escalations, partner deployments, and renewal or expansion readiness. Hire and develop technically fluent delivery leaders capable of shipping AI, automation, and workflow-orchestration systems into production and ensuring post-launch stabilization and customer outcomes.
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Lead social media and community strategy to scale Ema's brand and LinkedIn presence, create and repurpose content (blogs, carousels, short videos, newsletters), run experiments and performance tracking, build and engage a private enterprise AI community, support ABT microsite and events, and help convert community activity into sales pipeline.
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The Sales Strategy and Operations Manager leads complex sales opportunities, develops ROI models, engages executives, and coordinates cross-functional input for compelling proposals.
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Part-time AI Application Engineer focused on measuring and improving healthcare AI agent performance in production. Responsibilities include instrumenting agent quality, identifying failure points, designing experiments, analyzing results, and partnering with clinical experts to improve patient outcomes. The role requires Python, strong analytical judgment, comfort with ambiguity, and interest in healthcare. Clinical experience is valued but not required. Engagement is structured as a paid internship or contract role with weekly Bay Area office syncs.
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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.
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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.
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As a DevOps Engineer, you will design, develop, and deploy scalable SaaS solutions, automate infrastructure tasks, and collaborate on CI/CD enhancements.
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Join Ema as a Software Engineer to design and develop user interfaces for web applications, collaborating with product managers and UX designers, and integrating APIs.
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As a Machine Learning Engineer, you will develop models for NLP and code-generation systems, analyze data, and improve AI performance using advanced algorithms. You'll manage the entire ML lifecycle and ensure effective communication of model benefits across the organization.
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Develop and maintain scalable, reliable back-end systems and APIs, write maintainable code, and collaborate with global teams in a hybrid work environment.
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Lead the development and deployment of advanced machine learning models focusing on NLP, while ensuring model integrity and communication with stakeholders.
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Design and develop user interfaces and backend architectures for web applications, ensuring seamless integration and optimal performance using modern web technologies.
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The Software Engineering Lead will design and maintain enterprise software applications, develop APIs, and build back-end systems, ensuring quality and best practices.
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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.