Customer Acquisition Specialist

• Strong Customer Success Executive, preferably from B2B Product companies
• Mandatory (Experience 1): Must have 2+ YOE in a Customer Success / Support role in Tech-focused companies
• Mandatory (Experience 2): Must have worked on Customer Onboarding, Training, and engagement (end-to-end customer lifecycle management)
• Mandatory (Experience 3): Must have handled Customers queries across multiple channels - Email, Chat and call

Preferred

• Preferred (Company): B2B SaaS Product Company

About PGAGI:

At PGAGI, we believe in a future where AI and human intelligence coexist in harmony, creating a world that is smarter, faster, and better. We are not just building AI; we are shaping a future where AI is a fundamental and positive force for businesses, societies, and the planet.

Role Overview:

We are seeking a Sales Intern with 6+ Months of experience in B2B IT/Tech/AI/AI Solutions sales and pre-sales activities. This is a remote role with company-provided leads. The candidate will be responsible for driving enterprise AI software sales, conducting solution presentations, and collaborating with technical teams to craft client-focused proposals.

Key Responsibilities:

• Drive B2B enterprise pre sales for AI and solutions, managing the end-to-end sales and pre-sales cycle.

• Engage with potential clients (company-provided leads) to understand business pain points and propose

AI-driven software solutions.

• Lead pre-sales activities, including product demonstrations, solution presentations, technical discussions,

and proof-of-concept (POC) design.

• Collaborate with the AI and technical teams to design custom solutions and respond to RFPs/RFIs.

• Prepare business and technical proposals, pricing models, and solution roadmaps.

• Build and maintain strong relationships with C-level executives and key decision-makers in enterprise accounts.

• Track, manage, and report pipeline and pre-sales activities using CRM tools.

• Meet or exceed monthly and quarterly B2B sales targets.

Requirements:

• 6 Months of experience in B2B IT/Tech/AI/Solution sales and pre-sales.

• Proven track record in solution selling or enterprise-level software sales.

• Solid understanding of AI, Solution development , or cloud-based solutions and their business applications.

• Exceptional presentation, negotiation, and proposal writing skills.

• Experience with consultative and solution-oriented sales for mid to enterprise clients.

• Familiarity with CRM tools (HubSpot, Salesforce, etc.) and sales automation.

• Bachelor’s degree in IT, Business, Engineering, or a related field.

What We Offer:

• Competitive salary + attractive performance incentives.

• Fully remote, flexible work environment.

• Opportunity to work with cutting-edge AI products.

• Career growth with a fast-scaling AI consultancy.

• Exposure to global B2B enterprise clients .

Stipend:

Upto 30,000/- (30% Base and 70% Variable)

#ITsales #B2BSsales #softwaresales #salesexecutive #ITb2bsale #AIsolutions #ITindustrysales #Techsalesexecutive #techsalesrole #aisoftwaresales

If Your Interested contact me

sairam.akirala

@

kiaraglobalservices.com

or

798

9

8121

78

Industry Type

·        Renewable Energy

Qualificat ions

·        A Bachelor’s or Master’s degree in Electrical, Civil, or Mechanical Engineering,

Key Skills

·        AutoCAD, PVsyst, Helioscop Expertise in solar PV systems, including system design, equipment selection (panels, inverters, mounting systems), and layout planning.

Experience

·        8-12 Years’ Experience

Work Location:

·        Hyderabad

• Deep knowledge of website development, Facebook marketing, Mail Chimp, Hub Spot, Google Ad words and SEO
• Run PPC campaign and management (other paid campaigns)
• Social Media Strategy
• Promote content online
• Keep an eye on current updates in social media and work accordingly
• Co-ordinate with the US team
• Design Magazine(Vibe and Pac Buzz)
• Portals management
• Write Relevant blogs
• Online Database storage & Management
• Online Reputation Management
• Campaigns on Nearbuy & similar portals
• Coordination with Relevant online portals for banner work
• Coordination with the USA office for research on their localized requirements
• Post-execution performance analysis of the campaign

We are looking for a Senior Data Analyst who will support our product, sales, leadership, and marketing teams with data collection and organization of data in order to draw conclusions, make predictions, and drive informed decision making.

• The ideal candidate is adept at using large data sets to find opportunities for product and marketing optimization and using data models to test the effectiveness of different courses of action.
• Not just that, you also understand how to clean and organize data for complete analysis and calculations using spreadsheets, SQL Python, and R programming.
• Visualizing and presenting data findings in dashboards, presentations and commonly used visualization platforms must be your strength.

SKILLS YOU MUST HAVE:

• Data Cleansing, Data Analysis, Data Visualization (DataViz), SQL Questioning, Decision-Making, Problem Solving, Data Collection, Data Ethics, Sample Size Determination, Spreadsheet,

RESPONSIBILITIES:

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Mine and analyze data from company databases (GOOGLE ANALYTICS, User DB, and 3rd party Marketing Analytics tools) to drive optimization and improvement of product development, marketing techniques, and business strategies.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Strong understanding of Google Analytics (GA) fundamentals and how to work with raw GA data
• Automate custom data fetching from Google Analytics dashboard to excel sheet and other primary and secondary sources
• Work with complex SQL queries
• Work with Big Query with GA integration to extract data
• Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.
• Filter Data by reviewing reports and performance indicators to identify and correct code problems
• Developing and maintaining databases, data systems reorganizing data in a readable format
• Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets could be helpful for the diagnosis and prediction
• Assign a numerical value to essential business functions so that business performance can be assessed and compared over periods of time.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
• Develop company A/B testing framework and test model quality.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.
• Understanding of statistical concepts like Statistical significance, t-test, and z-test for AB testing
• Performing analysis to assess quality and meaning of data
• Preparing reports for the management stating trends, patterns, and predictions using relevant data
• Working with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies.
• Robust understanding of Mix panel and Amplitude

Skill requirement:

• 6-8 years of experience in database management and a strong understanding of Google Analytics
• Strong mathematical skills to help collect, measure, organize, and analyze data
• Experience using statistical computer languages (R, Python, MATLAB, SQL, etc.) to manipulate data and draw insights from large data sets.
• Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
• Technical proficiency regarding database design development, data models, techniques for data mining, and segmentation.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.
• Knowledge of data visualization software like Tableau
• Knowledge of how to create and apply the most accurate algorithms to datasets in order to find solutions
• Accuracy and attention to detail
• Adept at queries, advanced excel management, writing reports, and making presentations
• Team-working skills
• Verbal and Written communication skills
• Proven working experience in data analysis