Business Impact Lead (Go-To-Market)

Join Aily App as a Go-To-Market Business Impact Lead. In this role, you will be the domain expert and solution architect for Aily App's commercial modules. Your mission is to integrate Aily App into core Sales, Marketing, and Commercial Excellence routines, enabling Fortune 500 companies to move quickly from insight to action. You will own the client journey from integration to enterprise-wide adoption, ensuring the product is fully deployed, trusted, and embedded into daily business routines. You will also drive client value realization, translate sales and marketing routines into product requirements, and influence the product roadmap.

• Act as the go-to-market domain expert and solution architect for Aily App commercial modules, ensuring successful integration into core Sales, Marketing, and Commercial Excellence routines.
• Drive client value realization by leading product deployments, guiding data readiness, validating AI through business feedback, and accelerating time to value.
• Convert commercial routines and client context into product requirements and AI decision logic, refine model accuracy, and shape the product roadmap and future high-impact use cases.
• Tech-savvy profile with fluency in data and AI concepts, including data requirements and model behavior
• Strong understanding of enterprise Sales, Marketing, and Commercial Excellence routines and decision-making
• Proven experience working with Fortune 500 or large enterprise clients
• 5+ years of experience in commercial consulting, Sales, Marketing, or Revenue Operations roles, with exposure to analytics or solution-oriented environments
• Strong communication skills with senior commercial and executive stakeholders
• Extreme ownership mindset with accountability for outcomes, adoption, and time to value
• Exposure to enterprise SaaS environments
• Background in tech consulting, solution architecture, or product-facing roles
• Experience mentoring, leading, or scaling small teams or domain practices
• Experience with AI-powered, analytics, or data-intensive products