Jobs at Ema Unlimited

Design and develop full-stack web applications using React, gRPC, and modern web technologies. Build responsive, accessible, performant user interfaces; create and maintain APIs and backend services with Node.js or Python; integrate front-end and server systems; troubleshoot issues; and deploy applications using platforms such as Vercel. Collaborate with product managers, UX designers, and stakeholders to deliver high-quality user experiences.

Own corporate IT operations while automating identity and access lifecycles, SaaS administration, endpoint security, compliance evidence generation, and IT support. The role includes Okta and SCIM provisioning, MDM management, OS patching, encryption baselines, license reclamation, audit readiness, runbook standardization, and Tier 1/2 support. The engineer will use Python, Bash, APIs, and AI coding tools to replace manual processes with policy-driven workflows and advise Finance and HR on tool administration.

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

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.

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.

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.

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.