Description
AI & Software Systems Sales and Marketing Intern
Department: Sales & Marketing / Business Development
Position: AI & Software Systems Sales & Marketing Intern
Employment Type: Internship
Location: Lahore, Pakistan / Hybrid / Remote
Reports To: Sales & Marketing Manager / Business Development Manager
Company: Dynamic Solutions
. Position Overview
Dynamic Solutions is seeking a motivated and technology-oriented AI & Software Systems Sales and Marketing Intern to support the promotion, positioning, lead generation, and sales of our AI solutions, software systems, SaaS products, enterprise applications, and technology services.
The intern will work at the intersection of technology, business development, digital marketing, customer acquisition, and sales. The role is designed for candidates who want practical experience in selling modern technology solutions to businesses, educational institutions, healthcare organizations, government organizations, SMEs, enterprises, and international clients.
The successful candidate will learn how to understand customer problems, present technology solutions, identify sales opportunities, generate and qualify leads, conduct product demonstrations, prepare proposals, maintain CRM records, and support the complete sales cycle.
. Key Responsibilities
A. AI & Software Product Knowledge
Develop a strong understanding of the company's AI products, software systems, SaaS platforms, and technology services.
Learn the business value and technical capabilities of products such as:
AI systems
AI models and LLM solutions
Generative AI applications
AI automation solutions
Enterprise software
Web and mobile applications
ERP systems
CRM systems
Healthcare management systems
Education/LMS platforms
eCommerce and marketplace platforms
Custom software development
Cloud and technology services
Understand product features, use cases, target industries, pricing models, and competitive advantages.
Convert technical features into simple business benefits that customers can understand.
Assist in preparing product presentations, demonstrations, brochures, datasheets, and sales materials.
B. Lead Generation
Research and identify potential customers through online and offline channels.
Build targeted prospect lists for specific industries and geographic markets.
Search for potential customers using:
LinkedIn
Company websites
Business directories
Google
Social media
Industry databases
Trade portals
Government/business directories
Existing company databases
Identify decision makers such as CEOs, CTOs, CIOs, IT Managers, Directors, Procurement Managers, School/University Administrators, Hospital Administrators, and Business Owners.
Maintain and continuously expand the company's prospect database.
C. Sales Outreach
Contact prospective customers through appropriate channels, including:
Email
LinkedIn
Telephone
Business messaging platforms
Social media
Online meetings
Introduce company products and services professionally.
Conduct initial customer qualification.
Understand customer requirements, pain points, budgets, timelines, and decision-making processes.
Schedule meetings and product demonstrations for qualified leads.
Follow up with prospects according to the company's sales process.
Maintain professional communication throughout the sales cycle.
D. Digital Marketing
Assist in planning and executing marketing campaigns for AI and software products through:
LinkedIn
Facebook
Instagram
X
YouTube
Website/blog
Email marketing
Search engine marketing
Content marketing
Industry forums and communities
B B marketing channels
Responsibilities may include:
Writing marketing posts and product descriptions.
Preparing campaign ideas.
Identifying target audiences.
Creating lead-generation campaigns.
Monitoring campaign performance.
Researching competitors.
Identifying market trends.
Supporting SEO and content marketing activities.
Preparing case studies and success stories.
E. Content & Sales Materials
Assist in producing:
Product brochures
Sales presentations
Company profiles
Product comparison sheets
Business proposals
Website content
Landing-page content
Social media posts
Email campaigns
Case studies
Infographics
Product videos
Demo scripts
Customer FAQs
Sales scripts
F. Customer Requirement Analysis
Assist the sales team in understanding customer requirements.
The intern should learn to ask questions such as:
What business problem is the customer trying to solve?
What is the customer's current process?
What software is currently being used?
What limitations exist in the existing system?
How many users are involved?
What integrations are required?
What automation is required?
What AI capabilities are required?
What is the expected implementation timeline?
What is the customer's approximate budget?
Document requirements clearly and communicate them to the technical/business development team.
G. Product Demonstrations
Assist in preparing online and in-person product demonstrations.
Demonstrate software features to prospective clients.
Explain technical concepts in business-friendly language.
Prepare customized demonstrations based on customer requirements.
Record customer questions and feedback.
Coordinate with developers and technical teams when deeper technical explanations are required.
H. Proposal & Quotation Support
Assist with preparation of:
Technical proposals
Commercial proposals
Software quotations
Statements of Work (SOW)
Business requirement summaries
Scope documents
Project estimates
Subscription proposals
SaaS pricing proposals
Maintenance/support proposals
Ensure that proposals accurately communicate the customer's requirements and the company's proposed solution.
I. CRM & Sales Pipeline Management
Enter new leads into the CRM.
Maintain accurate customer and prospect information.
Record calls, meetings, emails, and follow-ups.
Update lead status and sales stages.
Track opportunities from initial contact to closing.
Maintain follow-up schedules.
Prepare periodic sales reports.
Monitor lead conversion and sales performance.
J. Market & Competitor Research
Research competing:
AI companies
SaaS companies
Software vendors
Enterprise technology providers
AI platforms
ERP providers
LMS providers
eCommerce platforms
Industry-specific software providers
Compare:
Features
Pricing
Target market
Business model
Product positioning
Marketing strategy
Customer segments
Competitive advantages
Weaknesses and gaps
Provide findings to the sales and management teams.
. Industry & Customer Segments
The intern may support sales activities targeting:
Software companies
SMEs
Large enterprises
Educational institutions
Universities
Schools
Hospitals
Clinics
Diagnostic laboratories
Government organizations
NGOs
Banks and financial organizations
Retail businesses
Manufacturers
Distributors
Logistics companies
Real-estate companies
Professional services firms
International organizations
Startups
. Required Skills
Communication Skills
Excellent verbal and written communication.
Ability to communicate professionally with business customers.
Ability to explain technical concepts simply.
Good presentation and negotiation skills.
Strong listening and questioning skills.
Sales Skills
Prospecting
Lead generation
Cold outreach
Lead qualification
Follow-up
Relationship management
Basic negotiation
Objection handling
Sales presentation
Customer requirement gathering
Technology Skills
Candidates should have a basic understanding of:
AI and Machine Learning
Generative AI
Large Language Models (LLMs)
SaaS
Cloud computing
APIs
Web applications
Mobile applications
Databases
Software development lifecycle
Deep programming knowledge is not mandatory, but technical interest is strongly preferred.
Marketing Skills
Basic knowledge of:
Digital marketing
Social media marketing
Content marketing
SEO
Email marketing
Lead-generation campaigns
B B marketing
Market research
Analytics
is preferred.
. Educational Qualifications
Preferred candidates may be studying or have recently completed:
BS Computer Science
BS Software Engineering
BS Artificial Intelligence
BS Information Technology
BBA
BS Business Administration
B.Com
Marketing
Digital Marketing
Business Development
MBA
Management Sciences
Engineering
Students from other disciplines with strong communication, sales, technology, or marketing skills may also apply.
. Preferred Candidate Profile
The ideal candidate is:
Technology-friendly
Confident in communication
Presentable and professional
Self-motivated
Goal-oriented
Willing to make sales calls
Comfortable communicating with businesses
Interested in AI and emerging technologies
Good at research
Fast learner
Organized
Persistent in follow-up
Comfortable working independently and in a team
. Performance Indicators / KPIs
Intern performance may be measured using:
Number of qualified leads generated
Number of new prospects researched
Number of outreach activities
Response rate
Meetings scheduled
Product demonstrations arranged
Qualified opportunities created
Proposal requests generated
Sales pipeline value
Conversion rate
Customer follow-up completion
Marketing content produced
Campaign performance
CRM data quality
Revenue directly or indirectly generated
. Learning & Training Opportunities
The internship provides practical exposure to:
AI product sales
Software sales
SaaS sales
Enterprise sales
B B sales
Digital marketing
Business development
CRM
Customer relationship management
Product demonstrations
Proposal development
Technology consulting
Market research
AI commercialization
International software sales
. Career Progression
Successful interns may be considered for:
AI & Software Sales Intern
↓
Sales & Business Development Executive
↓
Senior Sales / Business Development Executive
↓
Account Manager / Solution Sales Executive
↓
Business Development Manager
↓
Sales & Marketing Manager
↓
Enterprise/International Sales Manager
High-performing candidates may also progress into:
AI Solutions Consultant
Pre-Sales Engineer
Solution Consultant
Product Marketing Executive
SaaS Account Executive
Enterprise Sales Specialist
. Internship Objectives
By the completion of the internship, the candidate should be able to:
Explain AI and software products to business customers.
Identify appropriate target markets.
Generate and qualify B B leads.
Conduct professional sales outreach.
Perform customer requirement discovery.
Conduct basic software demonstrations.
Prepare sales and marketing materials.
Maintain CRM records.
Prepare basic proposals and quotations.
Manage sales follow-ups.
Understand the software sales lifecycle.
Support digital marketing campaigns.
Analyze competitors.
Identify new business opportunities.
Contribute to actual software and AI sales.
. Suggested Internship Structure
Phase — Training
Weeks –
Company orientation
Product training
AI/software fundamentals
Sales process
CRM training
Communication training
Market and customer segmentation
Phase — Prospecting
Weeks –
Market research
Lead generation
Prospect database building
Email and LinkedIn outreach
Cold calling
Lead qualification
Phase — Sales Development
Weeks –
Customer meetings
Requirement gathering
Product demonstrations
Proposal preparation
Follow-ups
Opportunity management
Phase — Independent Sales Activity
Weeks – +
Manage assigned prospects
Conduct outreach independently
Generate qualified opportunities
Support negotiations
Track sales pipeline
Prepare performance reports
. Tools & Platforms the Intern May Use
The intern may be trained on:
CRM platforms
Microsoft Office / Google Workspace
LinkedIn
Email marketing tools
Google Analytics
Search engines
Social media management tools
Project management platforms
AI tools
ChatGPT and other LLM platforms
Sales intelligence platforms
Communication/video-conferencing tools
Company ERP/Sales systems
. Compensation & Benefits
The internship package may include:
Internship certificate
Performance-based incentives
Sales commissions where applicable
Practical AI/software sales experience
Professional mentorship
Product and sales training
Opportunity to work with international clients
Potential employment after successful completion
Career advancement opportunities
. Application Profile
Candidates should submit:
Updated CV
Educational background
Relevant sales/marketing experience, if any
Technology/AI skills
LinkedIn profile, if available
Portfolio or examples of marketing/content work, if available