Ema Unlimited
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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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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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Develop and maintain enterprise software applications, focusing on back-end development, API development, and ensuring application security while contributing to software improvement processes.
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Identify, engage, and qualify enterprise prospects to create qualified opportunities for the sales team. Use LinkedIn, email sequencing, cold calls, and events to drive pipeline, collaborate with marketing and sales, manage metrics and assigned solutions, and book meetings for targeted accounts.
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The Solution Architect will enable technical solutions deployment, demonstrate product value to customers, manage projects, and design solutions aligned with customer needs.
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The Enterprise Sales Executive is responsible for lead generation, client engagement, pipeline management, and closing enterprise contracts in the AI sector.
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The Solution Architect collaborates with sales to understand customer needs, design technical solutions, and ensure successful deployment and integration of AI solutions.
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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 Machine Learning Engineer, you will develop and deploy NLP models, analyze large datasets, and implement advanced algorithms for AI systems.
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The Solutions Architect collaborates with sales to understand customer needs, designs solutions, and ensures successful deployment of Ema's AI technology, acting as a technical consultant and trusted advisor throughout the engagement.
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The Product Manager will define product strategy, conduct market research, manage product development, and oversee cross-functional collaboration and performance tracking.
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The Backend Engineer will develop and maintain enterprise applications, focusing on APIs and back-end systems using Go and Python.
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The Senior Infrastructure Engineer will design and build Ema's infrastructure platform, focusing on multi-cloud deployments, automation, and service architecture while ensuring system reliability and performance.
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The Engineering Leader will shape the technical roadmap for Ema's search platform, oversee architecture and implementations, and manage internal and partner integrations. Responsibilities include building scalable systems and ensuring diverse data format support.
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Lead the design and deployment of advanced machine learning models, mentor junior staff, and drive innovation in AI technology at Ema.
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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 DevOps Engineer, you will design, develop, and deploy scalable SaaS solutions, automate infrastructure tasks, and collaborate on CI/CD enhancements.
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Design, build, and operate a multi-tenant, microservices-based platform on Kubernetes across cloud providers. Implement core platform components (Golang/Python), service mesh, observability, IaC, CI/CD, SLO-driven reliability, database and distributed-systems optimizations, incident response, and cost/performance tuning.
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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.


