Jobs at Ema Unlimited

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.

Develop and deploy production machine learning models for NLP, retrieval, ranking, reasoning, dialogue, and code generation. Responsibilities include working with large datasets, model lifecycle management, feature engineering, training, validation, deployment, A/B testing, statistical evaluation, and automated testing. The role requires collaboration with technical and non-technical stakeholders and expertise in language models, retrieval, reinforcement learning, and agent-based systems.

Build customer-specific AI solutions and proofs of concept for Fortune 500 clients. Analyze requirements, deliver tailored demos, integrate customer data and applications through APIs and Python, resolve technical blockers with engineering and product teams, and document reusable solution designs. The role requires customer-facing technical experience, data engineering knowledge, enterprise system integration, GenAI or LLM exposure, and the ability to communicate technical decisions to technical and non-technical audiences.

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.

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.

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.

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 product strategy and roadmap for Ema’s agentic AI platform. Responsibilities include customer research, feature prioritization, PRD creation, cross-functional collaboration with engineering and design, end-to-end feature delivery, metric analysis, data-informed decisions, and go-to-market and launch planning.

Lead and scale engineering teams building multi-tenant Voice AI, Agent QA, analytics, auto-learning, and workforce management platforms. Own architecture for high-throughput voice data systems, real-time pipelines, telephony integrations, optimization algorithms, and enterprise compliance. Recruit and develop senior engineers and managers, establish engineering standards, guide cross-functional roadmap alignment, and deliver reliable production systems across global geographies.

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

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.

Own production support for enterprise agentic AI systems, diagnosing failures across models, workflows, integrations, data, and configuration. Lead Sev-1 and Sev-2 incident resolution, provide customer workarounds, conduct root-cause analysis, communicate with senior stakeholders, and convert incidents into engineering and product improvements. The role also improves runbooks, escalation processes, on-call practices, and mentors junior support engineers.

Design intuitive, consistent enterprise UX for an agentic Generative AI product. Create user flows, wireframes, prototypes, and design systems; collaborate with research, product, and engineering; iterate from data and feedback.

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.

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.

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.