Design, develop, and implement exceptional user interfaces for web applications using modern technologies like React and gRPC. Collaborate with cross-functional teams to build, test, and deploy full-stack applications while ensuring high performance and scalability.
The Sales Development Representative will own outbound prospecting and identify high-quality leads within large enterprise organizations. They will partner with Account Executives to manage complex sales cycles and build a repeatable enterprise pipeline.
You will own corporate IT operations end-to-end, focusing on identity, device management, and SaaS compliance. The role requires systematically automating recurring tasks using Python, Bash, and agentic tooling to eliminate manual workflows.
You will design and manage the cloud infrastructure that powers the AI platform, including Kubernetes clusters and automated deployment pipelines. Additionally, you will ensure the reliability, security, and scalability of the multi-tenant SaaS architecture.
You will build and own the Revenue Operations function, including forecasting, pipeline management, and compensation design for both direct and partner-led sales motions. You will also manage the go-to-market technology stack, data governance, and deal desk processes to ensure scalable business operations.
You will lead strategic go-to-market partnerships with SIs, VARs, and cloud platforms to drive partner-led growth and revenue. This involves managing partner enablement, negotiating agreements, and collaborating cross-functionally to ensure successful joint value propositions.
You will define the product strategy and roadmap while conducting customer research to drive the adoption of innovative AI capabilities. You will also collaborate with engineering and design teams to ship features and manage the go-to-market strategy.
You will lead the engineering organization responsible for building scalable, multi-tenant systems for Voice AI, Agent QA, and workforce management. This role involves collaborating with cross-functional teams to translate customer needs into production-grade systems while mentoring senior engineering staff.
The resident will research, design, and deploy deep learning models while developing enterprise-level software applications. They will also conduct complex data analysis and build scalable data pipelines to provide actionable insights.
The Senior Technical Support Specialist will own the health and reliability of production agentic AI systems by diagnosing complex failures and providing workarounds. They will act as a key partner to engineering and product teams, converting customer incidents into actionable feedback to improve system stability.
Lead AI strategy for high-value enterprise accounts and act as a strategic advisor to C-suite executives to drive AI adoption. Partner with the executive leadership team to influence deal strategy, structure commercial approaches, and align AI solutions with customer objectives.
Scale Ema's social presence and LinkedIn following through creative storytelling and content repurposing. Build and manage an exclusive community of enterprise AI leaders to drive brand awareness and business pipeline.
Design, develop, and maintain scalable enterprise backend systems and APIs using Agentic AI architecture. Collaborate with cross-functional teams to deliver high-quality software solutions for enterprise clients.
