Jobs at Ema Unlimited

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.

Design, build, and maintain scalable backend systems and APIs using Go/Python. Integrate enterprise services, data pipelines, event-driven tech (Temporal, Kafka), and LLMs (OpenAI, Gemini, Claude). Ensure security, high availability, multi-tenant SaaS deployments, and improve engineering practices across the stack.

The AI Implementation Engineer delivers and stabilizes AI solutions in customer environments, ensuring integrations and workflows meet requirements while coaching customer teams during critical phases.

The Partner Manager will lead strategic GTM partnerships, enabling partner sales, driving revenue through collaborations, and advocating for partner needs internally while collaborating cross-functionally.

As a Deployment Engineer, you'll ensure stable deployments by managing cloud infrastructure, overseeing deployments, monitoring production stability, and collaborating with DevOps teams.

Deliver post-deployment support for enterprise AI applications, manage incidents, coordinate with engineering teams, and enhance support processes.

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

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 a portfolio of strategic accounts, ensuring delivery quality, driving outcomes, and fostering commercial growth through strong relationships and effective orchestration of delivery teams.

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 Solution Architect will enable technical solutions deployment, demonstrate product value to customers, manage projects, and design solutions aligned with customer needs.

The Enterprise Sales Executive is responsible for lead generation, client engagement, pipeline management, and closing enterprise contracts in the AI sector.

The Solution Architect collaborates with sales to understand customer needs, design technical solutions, and ensure successful deployment and integration of AI solutions.

As a Machine Learning Engineer, you will develop and deploy NLP models, analyze large datasets, and implement advanced algorithms for AI systems.

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.

The Backend Engineer will develop and maintain enterprise applications, focusing on APIs and back-end systems using Go and Python.

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.

The Product Manager will define product strategy, conduct market research, manage product development, and oversee cross-functional collaboration and performance tracking.

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.

Lead the design and deployment of advanced machine learning models, mentor junior staff, and drive innovation in AI technology at Ema.