Sales Engineer

Key Responsibilities

• Own the technical win on all assigned enterprise opportunities — from discovery through proof of concept completion and executive sign-off — operating as a true co-seller alongside the AE, not a demo resource.
• Lead structured technical discovery on every assigned deal, uncovering integration complexity, organizational dynamics, and true evaluation criteria — and delivering a deal brief to the AE within 24 hours of each discovery call.
• Build and deliver tailored product demonstrations of interface.ai's full platform — AI Phone Banking, Smart Discovery, Smart Transaction, and FLA/Orbit — mapped precisely to each prospect's stated pain and unstated anxieties, not a generic feature walkthrough.
• Design, own, and execute proof of concept engagements; manage the technical evaluation end-to-end and drive to a documented technical win before commercial close.
• Present AI architecture, integration patterns, and ROI models to both technical buyers (IT directors, core banking architects) and business buyers (CEOs, VPs of Operations) — adjusting register instantly and losing nothing in translation.
• Co-own competitive strategy with the AE on displacement opportunities; know the incumbent's weaknesses, the customer's switching cost calculus, and interface.ai's winning angles — and put them in writing after every closed deal.
• Build and maintain a reusable demo environment tailored to the credit union and community bank buyer persona, continuously refined with competitive intelligence and new product capability.
• Support V5→V6 migration conversations as a technical authority — speak credibly to platform architecture differences, data migration implications, and integration continuity for prospects evaluating during transition.
• Contribute structured deal intelligence — competitive objections, integration patterns, product gaps — back to Product and Engineering in a way that influences the roadmap.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• 5–10 years in B2B SaaS or enterprise technology, with at least 3 years in a dedicated Solutions Engineer or pre-sales engineering role carrying direct ownership of the technical win.
• Demonstrated career progression from a technical foundation — support, implementation, or TAM — into pre-sales, with a clear record of expanding deal complexity, product surface area, and vertical depth at each stage.
• Deep technical fluency in AI and NLU concepts — intent recognition, confidence thresholds, fallback design, model retraining — and the ability to speak credibly to these topics with both technical and non-technical audiences.
• Experience building and delivering custom POC environments and demo sandboxes; engineering initiative beyond slide-deck SE work is a strong positive signal.
• Proven track record in competitive displacement — has beaten an incumbent in a structured evaluation, not just sold into greenfield accounts.
• Strong written communication skills: owns RFP and RFI responses, POC summaries, and technical proposals independently without requiring heavy AE or sales leadership support.
• Background in CCaaS, conversational AI, IVR/telephony, or contact center software strongly preferred; financial services or regulated vertical experience is a significant additional plus.
• Familiarity with core banking integration patterns, telephony architecture, and API-based platform connectivity — directly relevant to the credit union and community bank buyer.
• Skill in using AI and productivity tools — including prompt engineering with generative AI — to build sharper demos, faster RFP responses, and more compelling technical narratives.

Benefits

• 100% paid health, dental & vision care
• 401(k) & financial wellness perks
• Discretionary PTO + paid parental leave
• 🪐 Mental health, wellness & family benefits
• 🚀 A mission-driven team shaping the future of banking