Sales and Marketing Specialist

Job Summary

We are seeking a skilled Mainframe Developer with strong experience in COBOL, JCL, DB2, and VSAM. The ideal candidate will be responsible for developing, enhancing, maintaining, and supporting enterprise mainframe applications while ensuring high performance, reliability, and quality.

Key Responsibilities

• Develop, maintain, and enhance mainframe applications using COBOL.
• Create and modify JCL for batch processing and job scheduling.
• Design, develop, and optimize DB2 databases, SQL queries, and stored procedures.
• Work with VSAM datasets, including KSDS, ESDS, and RRDS.
• Analyze business requirements and translate them into technical solutions.
• Perform unit testing, integration testing, and support user acceptance testing (UAT).
• Troubleshoot production issues and provide timely resolutions.
• Participate in code reviews and ensure adherence to coding standards.
• Collaborate with business analysts, testers, and cross-functional teams.
• Prepare technical documentation and maintain application support documentation.

Required Skills

• Strong programming experience in COBOL.
• Good knowledge of JCL and batch processing.
• Hands-on experience with DB2, SQL, and database performance tuning.
• Experience with VSAM file structures and file handling.
• Knowledge of CICS and IBM z/OS is an advantage.
• Familiarity with source control and change management tools such as Endevor or Changeman.
• Strong analytical and problem-solving skills.
• Good verbal and written communication skills.

• Excellent knowledge of working with PHP Symfony / Laravel / CodeIgniter
• Must possess a strong understanding of Object-Oriented technology
• Knowledge of any PHP CMS or Framework will be a plus – Laravel / Symfony / CodeIgniter, Zend Framework
• Excellent communication (written and oral) and interpersonal skills.
• Work primarily with PHP, object-oriented design, dynamic content retrieval, Unit testing techniques, debugging techniques, HTTP, MySQL and Apache

We are looking for a strategic and operational Delivery Lead to lead our Professional Services organization across Digital Marketing, AI Search, and Digital Experience.

This is a General Manager-level role responsible for customer outcomes, delivery excellence, profitability, growth, people leadership, and AI-driven innovation across multiple service lines.

What You’ll Do

• Lead multidisciplinary teams across Paid Media, SEO, Local Search, GEO, AI Search, Analytics, Content, Digital Experience, CRO, and Consulting.
• Own delivery quality, customer satisfaction, utilization, capacity planning, forecasting, and profitability.
• Build scalable SOPs, playbooks, governance, QA frameworks, and delivery processes.
• Partner with Customer Success and Sales on enterprise relationships, executive engagements, RFPs, SOWs, pricing, renewals, and expansion.
• Drive AI-first delivery, automation, and new service offerings to improve productivity, quality, and margins.
• Build dashboards and operating mechanisms to improve delivery predictability and operational efficiency.
• Lead and develop managers and multidisciplinary teams, building a strong leadership pipeline and high-performance culture.

What We’re Looking For

• 15+ years of experience in Digital Marketing, Agency Services, Professional Services, or Digital Consulting.
• 7+ years leading multidisciplinary delivery organizations.
• Strong experience managing enterprise customers, large teams, and multiple service lines.
• Strong understanding of digital marketing, SEO, analytics, content, digital experience, and emerging AI Search / GEO capabilities.
• Proven expertise in Professional Services financial management, forecasting, utilization, margins, pricing, SOWs, and account growth.
• Excellent executive communication and stakeholder management skills.

Success Looks Like

• Strong GRR, NRR, CSAT/NPS, and customer health
• Professional Services revenue and margin growth
• Improved utilization, delivery predictability, and profitability
• Increased cross-sell, upsell, and new service adoption
• Higher AI adoption and operational efficiency
• Strong leadership development, engagement, and retention

The Ideal Candidate

You are a General Manager, Professional Services Leader, Digital Strategist, and AI-first Operator who knows how to bring multiple capabilities together into a scalable, profitable, customer-focused delivery organization.

You don't need to be the deepest expert in every function—you need to know how to connect the dots, challenge experts, lead teams, and deliver measurable business outcomes.

What We Offer

• Competitive compensation and performance incentives
• Comprehensive benefits
• Global, collaborative, and innovative environment
• Career growth and professional development
• Opportunity to build and scale an AI-first Professional Services organization

Account-Based Marketing (ABM) Manager

Location: Noida (Work from Office)

About the Role

We are looking for a highly strategic and execution-focused Account-Based Marketing (ABM) Manager to drive targeted growth across high-value enterprise accounts. This role sits at the intersection of marketing and sales, owning personalized campaigns that directly impact pipeline and revenue.

You will work closely with Sales, Product Marketing, and Demand Generation teams to design and execute tailored outreach strategies for key accounts globally.

Key Responsibilities

• ABM Strategy & Execution Design and execute account-based marketing programs for targeted enterprise accounts
• Identify and prioritize high-value accounts in collaboration with sales teams
• Campaign ManagementPlan and run multi-channel campaigns (email, LinkedIn, events, content syndication)
• Drive personalized messaging tailored to specific accounts, industries, and personas
• Sales AlignmentPartner closely with Account Executives and SDRs to align on account plans and outreach
• Enable sales teams with insights, messaging, and campaign support
• Data & InsightsLeverage intent data, CRM insights, and marketing automation tools to refine targeting
• Track, measure, and optimize campaign performance and ROI
• Content & PersonalizationWork with content and product marketing teams to create account-specific assets
• Develop use-case driven narratives for enterprise buyers (CTOs, QA Heads, Engineering Leaders)
• Pipeline ContributionOwn ABM-driven pipeline generation and influence revenue outcomes
• Continuously experiment and improve conversion across the funnel

Requirements

• 3–7 years of experience in B2B Marketing / Demand Generation / ABM
• Strong understanding of SaaS, enterprise sales cycles, and developer tools ecosystem (preferred)
• Proven experience in running targeted campaigns for enterprise accounts
• Hands-on experience with tools like HubSpot, Salesforce, Marketo, Outreach, LinkedIn Campaign Manager, Demandbase (good to have)
• Strong analytical mindset with ability to translate data into actionable insights
• Excellent communication and stakeholder management skills

What We’re Looking For

• Strategic thinker with a revenue-first mindset
• High ownership and ability to operate in a fast-paced, high-growth environment
• Strong collaboration skills across sales, marketing, and product teams
• Creative approach to personalization and engagement for linkedin messages/ Leads account based messages + timeline post

Job Description: AI/ML Engineer

Location: Gurgaon, Haryana, India

Position: AI/ML Engineer -Intern

Stipend: As per industry standards

About Aaizel Tech

Aaizel Tech is a pioneering tech startup at the intersection of cybersecurity, AI, geospatial solutions, and more. We drive innovation by delivering transformative technology solutions across industries. As part of our dynamic team, you'll gain hands-on experience and learn from experts who are dedicated to pushing the boundaries of what's possible.

Key Responsibilities:

1. Model Development and Optimization:

• Design, implement, and deploy ML models for diverse applications, including predictive analytics, anomaly detection, and computer vision, tailored for cybersecurity, climate monitoring, and geospatial data analysis.
• Utilize deep learning (CNNs, RNNs), reinforcement learning, and generative models (GANs) for complex problem-solving.

1. Advanced Data Engineering:

• Develop ETL pipelines and preprocessing scripts using Pandas, Numpy, and PySpark to handle large datasets from satellite imagery, IoT sensors, and real-time data sources.
• Integrate data from APIs, databases, and big data platforms (Hadoop, Apache Kafka) to support real-time analytics.

1. Algorithm Research and Development:

• Research state-of-the-art ML techniques, including Transfer Learning, Transformer models, and AutoML, to enhance model performance.
• Innovate new algorithms for geospatial analysis, such as object detection on aerial imagery, spatial clustering, and environmental modeling.

1. Deployment and MLOps:

• Deploy models using Docker, Kubernetes, and CI/CD pipelines, ensuring robust model lifecycle management.
• Work with cloud platforms (AWS, Azure, GCP) to implement scalable model serving solutions, using technologies like Sage Maker, TensorFlow Serving, and ONNX.

1. Performance Evaluation and Tuning:

• Perform model evaluation using advanced metrics (F1 Score, AUC-ROC, Intersection over Union for spatial data) and optimize for both accuracy and inference speed.
• Implement hyperparameter tuning using Bayesian Optimization, Grid Search, and Neural Architecture Search.

6. Performance Evaluation and Tuning:

• Perform model evaluation using advanced metrics (F1 Score, AUC-ROC, Intersection over Union for spatial data) and optimise for both accuracy and inference speed.
• Implement hyperparameter tuning using Bayesian Optimization, Grid Search, and Neural Architecture Search.

1.      7. Collaboration and Code Quality:

• Collaborate with data engineers, cybersecurity experts, and geospatial analysts to integrate ML solutions into end-to-end products.
• Adhere to coding standards, participate in code reviews, and maintain high-quality codebases using Git, Jira, and Confluence.

     8.Monitoring and Maintenance:

• Develop monitoring dashboards using Grafana, Prometheus, or similar tools to track model performance post-deployment.
• Implement feedback loops for model retraining based on real-time data and evolving application needs.

Required Skills, Qualification and Experience:

Educational Background: Bachelor’s/Master’s in Computer Science, Data Science, Machine Learning, or a related field from preferably top-tier       institutions.

• Technical Proficiency:
• Strong skills in Python, PyTorch, TensorFlow, and Scikit-learn.
• Proficiency in SQL, NoSQL databases (MongoDB, Cassandra), and data warehousing solutions (Redshift, BigQuery).
• Problem-Solving: Analytical mindset with the ability to solve complex problems using data-driven approaches.
• Communication: Capable of translating technical details into actionable insights for diverse stakeholders.
• Adaptability: Ability to thrive in a high-paced, dynamic startup environment with a focus on rapid iteration and delivery.

Strong Senior UI/UX Product Designer profile – IC Role in B2C Mobile Apps

Mandatory (Experience 1): 4+ YOE as a Product Designer, UI/UX Designer, or Mobile App Designer with strong IC ownership in tech/startup environments

Mandatory (Experience 2): Strong experience as a Fullstack Product Designer (UI + UX) for Mobile Apps (especially Android)

Mandatory (Core Skill 1): Must be highly proficient in Figma - able to create wireframes, user flows, high-fidelity mockups, and micro-interactions from scratch

Mandatory (Portfolio): Strong UI/UX portfolio of B2C Mobile Apps; Portfolio should reflect strong UI, Interaction, Visual Design skills (UI Heavy portfolio) (preferably launcher/utility/feed-driven apps)

Mandatory (Company): B2C product companies

Mandatory (Exclusion): Payment gateway companies

Requirement:

• The knowledge of PHP. ...
• Laravel experience. ...
• A strong command of HTML, Java, and CSS.
• The understanding of PM frameworks – Agile, Scrum, Waterfall, etc.
• Working experience of handling APIs; knowledge of RESTful or SOAP.
• Solid understanding of OOP and model view controller (MVC).

• Good experience with Objective-C/Swift and iOS SDK.
• Good working knowledge in Cocoa Touch.
• Experience with memory management and caching mechanisms specific to mobile devices.
• Experience working with iOS frameworks such as Core Data, Core Animation, Core Graphics and Core Text.
• Experience in Payment gateway integration in mobile apps is a big plus.
• A portfolio of iPhone apps in the app store is a plus.
• UI & UX experience
• Locations and Map API's
• Design and build iOS mobile applications.
• Collaborate with cross-functional teams to analyze, design, and ship new features.
• Fully responsible for mobile app development in the team.
• Implement new technologies to maximize application performance Job Requirements.
• Job Type: Full-time, Ready to join office.
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