Customer Service Sales Manager – Key Responsibilities:
Key Account & Client Relationship Management:
- Develop and manage long-term relationships with enterprise clients, strategic accounts, and high-value customers.
- Act as the main point of contact to ensure excellent customer experience, retention, and revenue growth.
- Understand client business goals and recommend AI-driven solutions that create measurable impact.
Sales Pipeline & Opportunity Management:
- Own and manage the complete sales pipeline from inbound leads, outbound outreach, demos, proposals, and closures.
- Ensure timely follow-up, accurate forecasting, and movement of opportunities through each sales stage.
- Identify bottlenecks early and take action to improve conversions.
Revenue Growth & Target Achievement:
- Drive monthly, quarterly, and annual revenue targets through new client acquisition, upselling, and account expansion.
- Continuously optimize sales strategy to exceed targets and align with company growth objectives.
Team Leadership & Performance Management:
- Lead, mentor, and develop junior sales and customer success teams in a fast-paced startup environment.
- Set clear KPIs, monitor performance, and coach team members to consistently achieve goals.
- Lead by example through personal sales contribution and operational discipline.
Consultative Sales & Solution Selling:
- Understand client pain points and position AI products/services as business solutions.
- Conduct discovery calls, presentations, negotiations, and close deals confidently.
- Build trust with prospects through strong communication and business understanding.
CRM, AI & Automation Tools Management:
- Use CRM systems (Salesforce, HubSpot, Zoho, etc.) and AI-enabled tools for lead tracking, follow-ups, reporting, workflow automation, and data-driven decision-making.
- Maintain accurate sales records and pipeline hygiene.
Customer Success & Retention:
- Ensure smooth onboarding of new customers and maintain strong post-sales engagement.
- Work closely with operations/product teams to maximize customer satisfaction, renewals, referrals, and lifetime value.
Data Analysis & Reporting:
- Analyze sales numbers, lead sources, conversion ratios, revenue trends, churn risks, and team productivity.
- Present weekly/monthly reports with recommendations to leadership.
Process Improvement & Scalability:
- Continuously improve sales workflows, scripts, SOPs, and automation systems to support rapid scaling.
- Build repeatable processes that increase efficiency and customer satisfaction.
