Sales Engineer; Enterprise AI/Service Intelligence
Listed on 2026-04-28
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IT/Tech
AI Engineer (Applied/Software), Cloud Computing: Infrastructure & Operations, Data Analyst
Location
Newton, MA
Employment TypeFull time
Location TypeHybrid
DepartmentPre-Sales
At Aquant, we’re transforming how service organizations leverage AI to drive smarter decisions and better outcomes. As a Sales Engineer, you won’t just support deals, you’ll shape how customers understand and adopt AI at an enterprise level.
We are looking for an experienced Sales Engineer to partner closely with our sales team in driving enterprise deals for Aquant.ai. This is a highly strategic, customer-facing role where you will translate complex technical capabilities into clear business value, while confidently engaging with senior technical stakeholders, including CIOs, CTOs, and heads of service operations.
You will act as the technical backbone of the sales process: leading discovery, demonstrating our AI-driven service intelligence platform, and addressing deep architectural and integration questions with credibility.
What You’ll DoCollaborate 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
- Experience
5+ years in a Sales Engineer / Solutions Engineer / Pre-Sales role
Experience selling complex AI or SaaS/analytics platforms to enterprise customers
Proven ability to engage with senior technical stakeholders (CIO, CTO, enterprise architects)
Strong understanding of modern data architectures (data lakes, pipelines, ETL, APIs)
Familiarity with AI/ML concepts and the ability to explain them without jargon
Experience with enterprise systems such as Salesforce, Service Now, or other FSM/ERP platforms
Knowledge of cloud environments (AWS, Azure, GCP) and enterprise security considerations
Exceptional ability to translate technical detail into business value
Confident presenting to both technical and non-technical audiences
Comfortable handling objections and thinking on your feet in high-stakes conversations
Customer-first and solutions-oriented
Collaborative and comfortable working cross-functionally
Curious, adaptable, and excited about AI-driven products
Hands-on experience using AI tools to build custom demonstrations
Experience in service operations, field service management, or industrial/service organizations
Background in data science, analytics, or AI-driven applications
Experience with POCs, pilots, or enterprise implementation discussions
It’s not enough to have a cool product, join us because you share our values:
These guiding values inspire every Aquant employee. They are how we operate and enable our company as a whole to have a greater impact and achieve our vision:
Be Humble and Respectful: We are one team, where collective success is more important than individual ego. Treat your colleagues with respect and empathy, act with good intent and value everyone’s contributions.
Be Curious: Keep learning, and asking questions to understand complex situations. Embrace new challenges. Keep an open mind, and be receptive to feedback.
Take Ownership: Focus on achieving measurable and meaningful outcomes. Take decisive action, solve problems proactively,…
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