Jobs at Ema Unlimited

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.

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 and automate Ema’s corporate IT environment, including identity and access lifecycle management, SaaS inventory and license reclamation, endpoint security, compliance evidence generation, runbooks, integrations, and Tier 1/2 support. The role partners with Finance and HR on tool administration, licensing, renewals, and billing while using Python, Bash, APIs, and agentic tools to reduce manual work.

Lead and scale Ema’s global Customer Engagement function while personally overseeing strategic enterprise accounts. Build repeatable delivery, onboarding, hypercare, adoption, change-management, and value-realization methodologies. Own portfolio metrics, delivery economics, capacity planning, executive escalations, partner deployments, and renewal or expansion readiness. Hire and develop technically fluent delivery leaders capable of shipping AI, automation, and workflow-orchestration systems into production and ensuring post-launch stabilization and customer outcomes.

Build and lead the US revenue operations function across direct enterprise and partner-led sales motions. Own forecasting, pipeline management, partner attribution, territories, quotas, compensation, CRM and GTM systems, deal desk processes, lead-to-cash operations, data governance, and executive reporting. Establish scalable processes and infrastructure for revenue visibility, channel operations, commercial approvals, and sales performance.

Lead strategic partnerships with system integrators, VARs, consultancies, cloud platforms, ISVs, and AI ecosystem companies. Responsibilities include recruiting and enabling partners, developing joint GTM plans, negotiating agreements and incentives, driving co-selling and partner-influenced pipeline, building partner programs, tracking revenue impact, conducting QBRs, and advocating for partner needs internally. The role collaborates across Sales, Marketing, Product, and Customer Success to scale partner-led enterprise growth.

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.

Lead social media and community strategy to scale Ema's brand and LinkedIn presence, create and repurpose content (blogs, carousels, short videos, newsletters), run experiments and performance tracking, build and engage a private enterprise AI community, support ABT microsite and events, and help convert community activity into sales pipeline.

Leads Ema’s North American partnerships and alliances strategy across GSIs, ISVs, cloud hyperscalers, and private equity. Owns partner-sourced revenue, channel strategy, program design, forecasting, executive relationships, and partner operations. Builds and manages a Partner Manager team, develops co-sell and marketplace motions, negotiates agreements, establishes performance metrics, and collaborates with Sales, Marketing, Product, and Customer Success to drive enterprise AI adoption.

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.

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.