You will safeguard the platform's trust by ensuring high standards of governance, security, and regulatory compliance while scaling operations. This involves managing security certifications, conducting risk assessments, and acting as a subject matter expert for internal and external stakeholders.
The Senior Enterprise Engagement Manager will own the end-to-end customer journey, driving adoption, value realization, and expansion for enterprise clients. They will lead cross-functional teams to ensure successful implementations while acting as a strategic advisor to guide clients through AI-driven transformations.
Architect and validate CFO-grade business cases to quantify the economic impact of adopting agentic AI for enterprise customers. Partner with Sales and Solutions Engineering to drive value-led decision-making and post-sale value realization for $1M+ deals.
Design and implement end-to-end system architectures connecting AI Agents to enterprise environments like CRMs and ERPs. Translate customer requirements into reliable agent behaviors using prompt engineering and LLM knowledge.
Enable the partner ecosystem to position, sell, and implement Parloa's conversational AI platform through technical coaching and solution design. Act as a technical advisor to partners while collaborating with internal product and sales teams to drive pipeline growth.
Own and grow a portfolio of strategic CX and Regional Systems Integrators across North America to drive pipeline and revenue. Lead partner-sourced enterprise deals end-to-end while orchestrating execution across internal sales and professional services teams.
Design and implement AI Agent deployments by crafting precise LLM prompts and building integrations between enterprise systems and the Parloa platform. Collaborate with cross-functional teams to validate AI behavior and document best practices for conversational solutions.
Architect and validate CFO-grade business cases to quantify the economic impact of adopting agentic AI for enterprise customers. Partner with sales teams to translate complex AI capabilities into measurable business outcomes and drive high-impact deal strategies.
Design and implement AI agents within enterprise SAP environments to transform customer service workflows. Collaborate with engineering teams to ensure reliable connectivity and data integration between Parloa's platform and SAP systems.
Design and implement AI Agent deployments by crafting precise LLM prompts and building integrations between enterprise systems and the Parloa platform. Collaborate with cross-functional teams to validate agent performance and document best practices for conversational AI solutions.
Manage the operational engine for Solution Engineering and Professional Services, focusing on capacity modeling, demand forecasting, and financial accuracy. Design and deploy AI agents and automations to eliminate operational drag across the organization.
Define and craft the brand's visual identity across all digital and physical touchpoints to ensure consistency and emotional resonance. Collaborate with cross-functional teams to produce high-impact assets and implement AI-driven innovation in the creative process.
Accelerate partner success and revenue growth by enabling partners to design, demo, and implement AI Agent solutions. Act as a technical advisor to translate platform capabilities into business value and drive technical win conditions throughout the deal lifecycle.
Design and implement technical integrations between Parloa's conversational AI platform and various SAP environments. Lead end-to-end integration projects from proof-of-concept to production go-live for enterprise customers.
Design and implement AI Agent deployments by crafting precise LLM prompts and building integrations between enterprise systems and the Parloa platform. Collaborate with cross-functional teams to validate agent performance and document best practices for conversational AI solutions.
Design and implement technical integrations between Parloa's conversational AI platform and various SAP environments. Lead end-to-end integration projects from PoC to production, ensuring scalable architecture and alignment with enterprise security policies.
Lead the end-to-end delivery lifecycle of Agentic AI deployments for enterprise customers, managing scope, timelines, and risks. Coordinate a cross-functional pod consisting of engineers and architects to ensure successful platform integration and go-live.
