Sales Engineer

Aurigo Software Technologies is an AI-native capital program management platform that has been a leader in public infrastructure for over two decades and is now expanding into the private sector. They are seeking a Sales Engineer to bridge technical capability and business value, partnering with Sales and Product to win complex enterprise deals.

Responsibilities:

• Partner with Account Executives across the full sales cycle (discovery → close)
• Deliver compelling demos and technical presentations
• Design tailored solutions tied to customer pain points and measurable outcomes
• Translate technical capabilities into clear business value for technical and executive audiences
• Support RFPs, evaluations, and proof-of-concepts
• Build trust through a consultative, solution-oriented approach
• Collaborate with Product to influence roadmap based on customer feedback
• Develop reusable demo assets and enablement materials
• Operate as a proactive self-starter, advancing deals independently
• Contribute to a high-performing, collaborative team culture
• Own demo strategy across an active $5M+ private-sector pipeline
• Build repeatable, vertical-specific demo narratives (e.g., data centers, life sciences, energy)
• Help shorten sales cycles by improving discovery and reducing technical friction
• Establish yourself as a trusted technical authority with customers and AE partners

Requirements:

• 5+ years in Sales Engineering / pre-sales / solutions consulting (enterprise SaaS)
• Experience owning technical win strategy in complex, multi-stakeholder deals
• Strong executive communication and discovery skills
• Ability to translate technical solutions into business outcomes
• Experience supporting enterprise sales cycles cross-functionally
• Bachelor's degree (or equivalent experience in relevant fields)
• Ability to manage multiple high-pressure pursuits
• Background in construction tech, infrastructure, or capital programs
• Experience with AI/data-driven SaaS platforms
• Familiarity with structured demo/discovery frameworks (e.g., Great Demo!, SPICE)