Aquant

Sales Engineer

• Collaborate with Account Executives to drive technical strategy and solution design across the full sales cycle
• Lead technical discovery sessions to uncover customer requirements, data environments, and constraints
• Design and position solutions that align Aquant’s capabilities with customer business and technical goals
• Lead high-stakes technical engagements, delivering demos and presentations that secure executive buy-in
• Translate AI/ML concepts, data pipelines, and platform architecture into clear, business-relevant messaging for both technical and executive audiences
• Build credibility with CIOs and senior stakeholders by confidently addressing complex technical questions
• Articulate system architecture, data flows, security, deployment models, and integration approaches (APIs, CRM, FSM, ERP systems)
• Drive technical validation through POCs, pilots, and evaluations, ensuring customers understand implementation considerations and expected outcomes
• Identify and mitigate technical risks throughout the sales process
• Partner with product and engineering teams to address advanced requirements and edge cases
• Provide structured feedback from the field to inform product development and refine messaging and positioning

Sales Engineer – Enterprise AI, Service Intelligence

Solutions Engineer

• Translate customer pain points into AI agents, workflows, and decision-support experiences that solve real business problems.
• Design end-to-end solution architectures covering data sources, integrations, APIs, orchestration, retrieval, guardrails, human-in-the-loop workflows, and deployment approach.
• Build or guide technical prototypes, proofs of concept, and pilot solutions that validate business value quickly.
• Partner with Product, Engineering, Customer Success, and Delivery teams to move solutions from discovery to implementation and adoption.
• Own technical scoping and solution planning, including requirements, assumptions, dependencies, risks, timelines, and stakeholder alignment.
• Act as a trusted advisor to customers, explaining technical tradeoffs clearly to both technical and non-technical audiences.
• Drive measurable business outcomes such as faster time to resolution, improved first-time fix, increased remote resolution, stronger adoption, and better customer experience.
• Create reusable implementation assets, reference architectures, playbooks, and industry-specific patterns that improve repeatability and speed.
• Ensure solutions are scalable, secure, explainable, and aligned with customer governance and compliance requirements.

Sales Engineer – Enterprise AI, Service Intelligence

Solution Architect, Agentic AI