Enterprise Sales Representative - Walton


: $28,110.00 - $43,750.00 /year *

Employment Type

: Full-Time


: Sales

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We are looking for a high-performing SaaS sales executive for an individual contributor front end role. The successful candidate will be responsible for driving new sales revenue opportunities, primarily in the retail industry. S/he will be working with the leadership team at Impact Analytics directly with the CEO and Founder and MD.


  • Lead client pursuits to achieve sales quotas while maximizing profitability and account penetration, including leading the development and presentation of the Impact Analytics value proposition
  • Identify, qualify and manage leads through market research and collaboration with internal lead generation
  • Utilize CRM/Automation tool to build, manage and grow a healthy pipeline
  • Manage the end-to-end sales process for each targeted prospect, collaborate internally to assess prospects needs and define the optimal solution
  • Negotiate pricing and contractual terms to close sale as required
  • Must be able to quickly learn and understand Impact Analytics product offerings and competitive landscape and industry pain points
  • Present and negotiate proposals with the CXOs and their direct reports at for SMB and Enterprises in defined geographies of USA
  • Give input to IA team for building winning proposals
  • Lead in-person client presentations to C-level executives, including information discovery sessions, product demonstrations and proposals
  • Engage with prospects to understand their unique and specific pain points and produce compelling business cases to meet their needs
  • Give inputs to marketing campaigns and be part of marketing events from Impact Analytics
  • Give inputs to implement a scalable sales & marketing process from prospecting/demand generation through contract execution
  • Hire, train and lead a team of high-performing Customer Success Reps, and Account Executives as per the company growth plans
  • Work closely with the Leadership Team to provide input on the growth of the business and align revenue strategy with overall company objectives

WHAT LANDS YOU THIS ROLE (Please read qualifying parameters before applying)

  • You have a rolodex of clients in Retail, CPG and assosiated industry segments and are willing to lead demo Impact Analytics AI Retail focused products
  • Industry experience of 5+ years , should have worked in front end sales roles with Industry leading SaaS and software companies providing products and solutions for retail, AI, ML domain
  • Understanding of Retail /CPG industry processes, data science methods and techniques with an application in to Retail, CPG and associated industries is an big advantage
  • Understanding of latest technologies in retail AI products, SaaS and Retail Software is an advantage
  • BA/BS degree or equivalent, MA/MBA preferred
  • Should be a US Citizen or have a valid work visa for working in USA


Impact Analytics is a US headquartered, rapidly growing AI and Advanced Analytics firm dedicated to serving clients through a synthesis of business consulting, analytics services and products. We are ranked 74 in Deloitte Technology Fast 500 for 2019, a Top 100 rank in our first year of eligibility. We are ranked 585 in the 2018 Inc 5000 list of America s fastest growing companies and winners of prestigious global AI challenge of P&G. We received two commendable mentions in Forbes Magazine and Analytics India Magazine one of the Top10 Analytics Company to watch out in 2019. The leadership team comprise of professionals from leading universities like the IITs, NITs IIMs and US Ivy Leagues. They have worked across both Analytics and Management consulting firms like BCG, McKinsey, prominent technology firms and have been start-up founders. Impact Analytics has grown 3x in the last one year alone and are backed by renowned investors across India and USA.

by Jobble

Associated topics: b2c, door to door, electronic commerce, residential, residential customer, residential sales, retail, retailer * The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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