Enterprise Account Executive

# Enterprise Account Executive – AI/ML Infrastructure Sales (US Market) ## Company Overview Not specified. ## Job Summary We are seeking a high-performing **Enterprise Account Executive** with a strong technical understanding of **AI/ML Infrastructure, Developer Tools, Cloud Infrastructure, or ML Platforms** to drive revenue growth in the US market. This role demands a combination of **new business acquisition (hunting)** and **account expansion (farming)** while managing a healthy enterprise sales pipeline. ## Responsibilities ### Revenue & Pipeline Management - Own and drive end-to-end sales cycles across the US market. - Build and manage a quarterly pipeline of **$2M+ in qualified opportunities**. - Consistently achieve a **30%+ opportunity-to-close conversion rate**. - Develop and execute territory and account plans to exceed revenue targets. - Forecast business accurately and maintain CRM hygiene. ### Enterprise Sales Execution - Engage with technical stakeholders including CTOs, VP Engineering, AI Leaders, and Platform Teams. - Understand customer infrastructure challenges and position AI/ML infrastructure solutions effectively. - Lead product demonstrations, solution discussions, commercial negotiations, and contract closures. - Navigate complex multi-stakeholder buying processes within technology organizations. ### Business Development - Generate opportunities through a combination of: - Outbound prospecting - Inbound leads - Partner referrals - Existing account expansion - Build relationships with AI-native companies, infrastructure-focused startups, and technology-first enterprises. ### Account Growth - Drive upsell, cross-sell, and expansion opportunities within existing accounts. - Collaborate with Customer Success and Solutions teams to maximize account value and retention. ### Cross-Functional Collaboration - Work closely with Product, Marketing, Solutions Engineering, and Customer Success teams. - Provide market feedback and customer insights to influence product strategy and go-to-market initiatives. ## Qualifications - **4–8 years of B2B SaaS/Technology Sales experience** - **B.Tech/BE degree (Mandatory)** - Experience selling **AI/ML Infrastructure, Developer Tools, Cloud Infrastructure, DevOps, Data Infrastructure, or Deep-Tech products** - Proven experience selling into the **US market** - Experience managing enterprise or SMB sales cycles with technical buyers - Demonstrated ownership of a **$2M+ quarterly pipeline** - Consistent **30%+ conversion rate from qualified pipeline to closed business** - Experience engaging with technical decision-makers such as CTOs and Engineering Leaders - Strong understanding of the AI/ML ecosystem and modern infrastructure stacks - Experience handling sales cycles of approximately **3 months** ## Preferred Skills - Experience selling to AI-native startups or GenAI companies - Exposure to LLMs, GPU infrastructure, AI compute, vector databases, or MLOps ecosystems - Experience working in high-growth SaaS startups - Familiarity with cloud platforms such as AWS, Azure, or GCP ## Experience 4–8 years in B2B SaaS/Technology Sales, with a focus on selling complex technical solutions. ## Environment **Location:** Bangalore (Hybrid – 3 Days Work from Office, 2 Days Work from Home) ## Salary Not specified. ## Growth Opportunities Not specified. ## Benefits Not specified.