Emumba is an engineering and innovation consultancy founded in 2011 that helps enterprises and startups create, modernize, and run cloud-native software. Its work spans AWS cloud engineering, generative AI, data cataloging and discovery, data quality, data engineering, Zero Trust security, DevOps, infrastructure automation, quality assurance, and user experience. Emumba combines these capabilities to deliver scalable enterprise applications and integrations for clients across industries.
Senior SMB Sales Specialist at Emumba, Pakistan (Hybrid)
Lead U.S. SMB customer acquisition and AWS co-sell growth for Emumba’s cloud and AI consulting business. Build territories, sales pipelines, and executive customer relationships.
Description
- Grow Emumba’s customer base and market presence across the U.S. SMB segment.
- Develop and manage qualified opportunities spanning cloud modernization, data, AI, Generative AI, and Agentic AI.
- Partner with AWS Account Executives, Partner Sales teams, Solution Architects, and other AWS stakeholders to promote Emumba’s cloud and AI transformation services.
- Support AWS Marketplace activities and partner-led go-to-market programs for Emumba’s AI and cloud solutions.
- Keep opportunity records, pipeline data, forecasts, and customer engagement details accurate and current.
- Create repeatable territory-selling processes that support the expansion of Emumba’s U.S. SMB business.
- Meet quarterly and annual pipeline and revenue goals.
- Develop executive-level customer relationships, align technical and commercial resources, and turn qualified opportunities into revenue.
- Strengthen territory relationships, expand AWS co-sell partnerships, build a consistent sales pipeline, advance initial customer discussions into implementation work, and generate measurable new revenue.
Requirements
- Meet applicable U.S. business-travel and immigration requirements for the position.
- Bring at least seven years of experience in technology sales, cloud sales, SaaS, consulting, managed services, or related B2B technology sales.
- Show a record of winning new customers and closing technology or professional-services deals.
- Have experience managing a sales territory, pipeline, forecast, and revenue quota.
- Understand cloud transformation, software, data, AI, or digital transformation solutions.
- Have worked with technology partners and co-selling programs.
- Communicate effectively with SMB owners, executives, business leaders, and technology decision-makers.
- Demonstrate strong prospecting, qualification, presentation, negotiation, and closing abilities.
- Collaborate effectively with sales, solution architecture, engineering, marketing, and delivery functions.
- Communicate clearly in writing and verbally.
- Hold a bachelor’s degree or offer equivalent professional experience.
- Preferred: Experience selling AWS cloud, data, AI, or professional services.
- Preferred: Experience in the AWS Partner ecosystem and familiarity with AWS co-selling programs.
- Preferred: Established relationships with AWS sales teams, SMB customers, or regional technology networks.
- Preferred: Familiarity with Amazon Bedrock, Amazon Quick, Amazon SageMaker, AWS Marketplace, and Agentic AI technologies.
- Preferred: Experience selling Generative AI, AI automation, data modernization, application modernization, or cloud migration solutions.
- Preferred: Experience selling consulting or professional services from initial workshops and assessments through major implementation engagements.
- Preferred: Experience launching a territory, customer base, or sales motion from an early stage.
Benefits
- Work U.S. business hours, including late evenings from other time zones, to support customers, AWS teams, and partner engagements.
- Travel frequently to the United States for customer meetings, AWS engagements, industry events, and sales activities.
- Work effectively across global teams and time zones while remaining responsive to U.S.-based customers and partners.
- Meet applicable U.S. business-travel and immigration requirements for the position.