Jobs at Ema Unlimited

Design and develop user interfaces and backend architectures for web applications, ensuring seamless integration and optimal performance using modern web technologies.

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.

Build and manage cloud infrastructure for an agentic AI platform. Responsibilities include maintaining Kubernetes clusters, automating provisioning with Terraform and Ansible, implementing CI/CD pipelines, building observability systems, and ensuring security, scalability, performance, and reliability for multi-tenant SaaS architecture.

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.

Own major portions of monthly, quarterly, and annual accounting close; consolidation; US GAAP financial reporting; SaaS revenue recognition under ASC 606; audit management; technical accounting; ERP and close-management tooling; controls; and accounting process automation. Partner with the CFO, FP&A, Legal, auditors, and finance leadership while building scalable accounting infrastructure.

Own outbound enterprise prospecting and account development for Ema’s AI products. Identify and engage senior stakeholders at large organizations, develop account-entry strategies, multi-thread buying committees, qualify prospects, and book sales-qualified leads through email, calls, and LinkedIn. Partner with Account Executives on handoffs and pipeline conversion, track business metrics, and help build scalable outbound playbooks, messaging, and processes.

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.