Senior Sales Engineer – Agentic AI for CX

This is a fully remote position, open to applicants in United States.

📋 Description

• Take charge of the technical sales interaction from initial discovery to achieving technical success.

• Conduct in-depth investigations into customers' CX technology ecosystems, AI agents, quality and compliance challenges, and success metrics.

• Develop closed-loop assurance solutions that test, monitor, and observe customers' AI agents throughout their CX ecosystem.

• Provide customized demonstrations, overviews, and workshops that connect the platform to customers' AI agent quality and compliance objectives.

• Define and execute proofs of concept that validate the platform against customer success metrics.

• Assess the financial impact of AI failures and the efficiency improvements gained through assurance for executive stakeholders.

• Collaborate with Sales, Product, and Implementation teams on RFPs, handling objections, and facilitating delivery transitions.

• Produce reusable demos and collateral.

• Guide colleagues in agentic AI technology and prompt engineering.

⛳️ Requirements

• A minimum of 5 years in pre-sales or solutions engineering interacting with C-level and VP-level executives.

• Strong understanding of CX technology stacks, including CCaaS, IVR, CRM, and digital channels.

• Proven expertise in the construction, deployment, and behavior of AI agents and agentic workflows in CX settings.

• Extensive knowledge of LLMs, RAG, tool calling, orchestration, and MCP.

• Advanced skills in prompt engineering, including interpreting agent system prompts and designing adversarial test scenarios.

• Strong understanding of AI agent quality and compliance monitoring, including evaluation, hallucination detection, and adherence to policies.

• Knowledge of closed-loop assurance that integrates testing, monitoring, and observability.

• Capability to translate intricate CX and AI requirements into technical solutions.

• Credible storytelling ability that connects technology to business results for both executive and technical audiences.

• Bachelor's degree in Computer Science, IT, or a related field, or equivalent practical experience.

• Familiarity with customer AI agent platforms such as Cognigy, Sierra, Decagon, Observe.AI, AWS, and Google.

• Knowledge of CCaaS platforms like NiCE, Genesys, Five9, Talkdesk, and AWS Connect.

• Experience with CX testing, monitoring, or observability tools.

• Understanding of compliance and risk factors for AI in customer interactions.

🏝️ Benefits

• Competitive compensation.

• Comprehensive benefits package.

• Flexible work arrangements.

• Employee recognition programs.

• Focus on employee well-being.

• Inclusive workplace culture.

• Opportunities for continuous learning and career growth.