
Who We Are
Infosec Ventures incubates and scales cyber security innovators that solve inefficiencies in cyber security, solve big problems and deliver exceptionally high return on investment for customers. We are on a mission to make the world cyber safe, by protecting systems and the ‘human operating system’. Some notable current ventures include humanfirewall.io, emailauth.io, bugsbounty.com, securityrating.com among others. An idea is worth one dollar, it's the execution that adds the zeros at the end of it, to make it a billion dollars!
Job Title: Sales Development Representative (B2B – IT/Software Product/ Cybersecurity / AI / SaaS) Location: India (India & UAE markets)
Experience: 1–3 Years
Role Type: Individual Contributor → Future Team Lead
About the Role
We are looking for a driven B2B sales professional with strong outbound experience, capable of engaging CXO-level stakeholders and closing deals end-to-end across mid-market and enterprise accounts.
Preferred Industry Background - Enterprise SaaS / Cloud Platforms, Cloud & Infrastructure, IT Services & Consulting, Software Product Companies, ERP / CRM / Business Systems, HR Tech / FinTech / MarTech, AI / Data Platforms
Key Responsibilities (KRAs)
● Build and drive outbound pipeline by targeting CXO-level stakeholders (CISO, CIO, CTO, CEO) across India and UAE via email, calls, LinkedIn, and referrals.
● Own the complete sales cycle from prospecting and discovery to demo, proposal, negotiation, and closure.
● Deliver clear, value-driven demos showcasing product capabilities, business impact, and pricing flexibility.
● Maintain a strong, predictable pipeline and consistently achieve revenue targets.
● Share weekly updates and actionable insights on pipeline, performance, and market feedback.
● Start as an individual contributor and gradually mentor juniors on outreach, demos, negotiation, and closing.
Key Requirements
● 2–6 years of experience in B2B sales (SMB, mid-market, or enterprise)
● Proven outbound prospecting and deal closure experience
● Experience engaging with CXO-level stakeholders
● Strong ownership of full sales cycle
● Excellent communication, presentation, and negotiation skills
Good to Have
● Experience in cybersecurity, AI, or SaaS products
● Exposure to international markets (UAE or similar)
● What We’re Looking For
● Hunter mindset with high ownership
● Strong problem-solving and consultative selling approach
● Ability to work in a fast-paced, target-driven environment
If you can build pipelines, close deals, and scale impact—this role is for you.

Similar jobs
Skills: Digital: Application Programming Interface (API)~Java Rest web services~ AI Agents~ AI & Gen AI - Products & Tools
Job Description – Gen AI Developer
Exp: 5-8 years
Role Summary
We are looking for a skilled AI Developer to design, develop, and deploy AI-powered applications, intelligent automation solutions, and Generative AI systems. The ideal candidate should have hands-on experience in Python development, Large Language Models (LLMs), Prompt Engineering, AI agent development, workflow automation, and cloud AI services.
Key Responsibilities
AI Application Development
· Design and develop AI-powered business applications.
· Build enterprise AI assistants, copilots, and AI agents.
· Develop AI APIs and intelligent automation workflows.
· Integrate AI capabilities into enterprise applications.
· Create scalable and production-ready AI solutions.
Generative AI Development
· Build applications using Large Language Models (LLMs).
· Develop Prompt Engineering frameworks.
· Implement RAG (Retrieval-Augmented Generation) solutions.
· Integrate OpenAI and Azure OpenAI models.
· Develop conversational AI and intelligent assistants.
Intelligent Automation
· Build workflow automation solutions.
· Develop AI-driven business process automation.
· Create intelligent document processing solutions.
· Integrate AI with enterprise business systems.
· Automate repetitive operational processes.
Conversational AI
· Build AI chatbots and virtual assistants.
· Design conversational workflows.
· Implement multi-channel AI solutions.
· Enable human-in-the-loop AI workflows.
Model Development & Integration
· Develop and deploy machine learning models.
· Fine-tune AI models for business use cases.
· Build inference APIs and AI services.
· Support model lifecycle management.
Mandatory Technical Skills: Programming Languages
Must Have
· Python
· SQL
· REST APIs
· JSON
Technical requirements in current AI architecture documents explicitly highlight strong experience in Python and AI solution development.
Generative AI
Must Have
· OpenAI
· Azure OpenAI
· Prompt Engineering
· LLM Integration
· AI Assistants
· RAG Architecture
Good to Have
· Claude
· Gemini
· Llama Models
· Mistral
AI leadership and AI architecture requirements specifically reference Generative AI, Azure OpenAI, prompt engineering, orchestration, and enterprise AI adoption.
AI Frameworks
Preferred
· LangChain
· Semantic Kernel
· LlamaIndex
· Hugging Face
· AutoGen
· CrewAI
Machine Learning
Must Have
· Scikit-Learn
· TensorFlow
· PyTorch
Concepts
· Model Training
· Model Evaluation
· Model Deployment
· Feature Engineering
NLP & Semantic Search
· Natural Language Processing
· Embeddings
· Vector Search
· Semantic Search
· Text Analytics
· Knowledge Retrieval
Microsoft AI Stack
Must Have
· Microsoft Copilot Studio
· Power Automate
· Azure AI Services
· Azure AI Foundry
The internal AI Architecture JD explicitly calls out Copilot Studio, Power Automate, Azure AI Foundry, and Generative AI technologies as core competencies.
Cloud Platforms
Microsoft Azure
· Azure AI Services
· Azure OpenAI
· Azure AI Foundry
· Azure Functions
· Azure App Services
· Azure Storage
· Azure Machine Learning
AWS (Preferred)
· SageMaker
· Bedrock
· Lambda
· S3
Cloud-native AI platforms including Azure ML and SageMaker are referenced within internal AI/ML architecture requirements.
Automation & Integration
· Power Automate
· Workflow Automation
· API Integration
· Microsoft Graph API
· Intelligent Process Automation
MLOps & DevOps
Preferred
· Git
· Azure DevOps
· CI/CD Pipelines
· Docker
· Kubernetes
· Model Monitoring
· Model Versioning
Current AI architecture standards include MLOps lifecycle management, model deployment, monitoring, and CI/CD integration.
BFSI Domain Experience (Preferred)
Experience in:
· Banking
· Corporate Banking
· Payments
· Risk Management
· Fraud Detection
· Insurance
· Financial Data Analytics
Soft Skills
· Strong analytical mindset
· Innovation-driven approach
· Problem-solving skills
· Excellent communication skills
· Stakeholder management
· Team collaboration
Educational Qualification
· B.E. / B.Tech.
· MCA
· M.Tech.
· Computer Science
· Artificial Intelligence
· Data Science
· Machine Learning
Preferred Certifications
· Microsoft Azure AI Engineer Associate (AI-102)
· Azure Fundamentals (AZ-900)
· Azure OpenAI Certifications
· Machine Learning Certifications
· Generative AI Certifications
We are looking for a Business Development Executive with strong sales skills in software products, packages, and IT services to join our growing sales team.
Key Responsibilities
- Handle and convert inbound & outbound leads into confirmed sales.
- Identify potential clients, understand their needs, and recommend suitable software/IT packages.
- Maintain a strong sales pipeline and follow up regularly with prospects.
- Negotiate pricing and terms to close profitable deals.
- Work closely with the technical and marketing teams to ensure client satisfaction.
- Maintain accurate CRM records of leads, opportunities, and conversions.
- Meet and exceed monthly and quarterly sales targets.
- Performs implementation of high level design and specifications.
- Develops low level design, class diagrams, flow charts.
- Performs Unit testing of individually developed components and fix errors, if any
- Assist in preparation of design, technical reference & operational documentation, packaging document in collaboration with the Lead.
- Strives for technology innovation in terms of exploring new and efficient ways of writing code
- Is responsible for writing simple, reusable code by following coding standards
- Ensure proper documentation of implementation and reviews.
- Ensure timely follow ups and escalations with leads with respect to any process gaps/risks/impediments.
- Interacting via various channels, such as live chat, emails, social media and direct calls
- Modifying sales pitches in response to customer demand
- Acquiring and retaining contact information databases
- Put forward suggestions in accordance with the requirements of the consumer
- Ensure a smooth procedure for the consumer by transferring windows of opportunity to the appropriate department for further action

- Work with developers to build out CI/CD pipelines, enable self-service build tools and reusable deployment jobs. Find, explore, and advocate for new technologies for enterprise use.
- Automate the provisioning of environments
- Promote new DevOps tools to simplify the build process and entire Continuous Delivery.
- Manage a Continuous Integration and Deployment environment.
- Coordinate and scale the evolving build and cloud deployment systems across all product development teams.
- Work independently, with, and across teams. Establishing smooth running. environments are paramount to your success, and happiness
- Encourage innovation, implementation of cutting-edge technologies, inclusion, outside-of-the[1]box thinking, teamwork, self-organization, and diversity.
Technical Skills
- Experience with AWS multi-region/multi-AZ deployed systems, auto-scaling of EC2 instances, CloudFormation, ELBs, VPCs, CloudWatch, SNS, SQS, S3, Route53, RDS, IAM roles, security groups, cloud watch
- Experience in Data Visualization and Monitoring tools such as Grafana and Kibana
- Experienced in Build and CI/CD/CT technologies like GitHub, Chef, Artifactory, Hudson/Jenkins
- Experience with log collection, filter creation, and analysis, builds, and performance monitoring/tuning of infrastructure.
- Automate the provisioning of environments pulling strings with Puppet, cooking up some recipes with Chef, or through Ansible, and the deployment of those environments using containers, like Docker or Rocket: (have at least some configuration management tool through some version control).
Qualifications:
- B.E/ B.Tech/ M.C.A in Computer Science, Electronics and Communication Engineering, Electronics and Electrical Engineering.
- Minimum 60% in Graduation and Post-Graduation.
- Good verbal and written communication skills
- The ideal candidate must have experience in enterprise application design, system performance and scalability
- 5+ year experience in web services, distributed systems, and highly available and scalable applications.
- Strong object-oriented programming skills in Java
- Very good knowledge of Core Java and J2EE and should have worked on high availability, low latency platforms.
- Ability to question status quo and identify bad design/code patterns which can impact performance and maintainability of the code.
- Excellent understanding of system design and design patterns.
- Previous experience with the Agile methodology.
- Experience in developing robust RESTful services is desirable.
- Have very good communication skills
- Have strong experience in the Spring framework.
- Good experience in SQL/Oracle
- BS degree in computer science or related fields. MS degree desired
Experience: 9 to 16 Yrs
Notice Period: Immediate to 15 days
Job Description:
- The Lead Engineer is responsible for deriving the technical architecture, detailed design, implementation, Performance, and Scalability of the developed system.
- The individual should be capable of single-handedly understanding the requirement, liaison with the product owner and external teams; produce the technical output required.
- Strong Leadership skills to contradict, produce a new design to current trends is required.
- Should be an avid technology enthusiast with strong views on technical architecture.
Technical Skills:
1) Strong Python and Mongo DB is mandatory
2) Web Application Architecture - One Large Project Experience of Development & Maintenance
3) Knowledge in one or more frameworks like WSGI(uwsgi), Django, Flask, Web Application development
4) Exposure to Databases like MongoDB, BigQuery, Elastic Search, Redis, etc.,
5) Knowledge of Code Quality Process and Discipline (Git, Jenkins, etc)








