
Job Description:
Looking for 3-6 years of experience candidates for the role of software sales executive.
- Prospecting, generating, qualifying, and following up on leads and appointment setting for the external sales team
- Direct email marketing/cold calling to key clients and prospects
- Collaboratively work with the sales, and marketing team to develop lead generation strategies to generate lead opportunities with prospective customers
- Initiates lead/demand generation strategies that include inbound/outbound sales and marketing campaigns and initiatives
- Research, track, maintain, and update leads
- Develop a strong knowledge of the company’s products and services to facilitate the sales process
- Achieving sales lead generation and appointment quota
- Individual Performers are required
Key Responsibilities:
- Inside Sales
- Lead Generation
- Executive Email marketing and Cold calling
- International sales experience preferred
- Relevant IT/ERP sales experience preferred

About Kapil Technologies PVT LTD
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About MyOperator
MyOperator is a Business AI Operator and category leader that unifies WhatsApp, Calls, and AI-powered chatbots & voice bots into one intelligent business communication platform.Unlike fragmented communication tools, MyOperator combines automation, intelligence, and workflow integration to help businesses run WhatsApp campaigns, manage calls, deploy AI chatbots, and track performance — all from a single no-code platform.Trusted by 12,000+ brands including Amazon, Domino’s, Apollo, and Razor-pay, MyOperator enables faster responses, higher resolution rates, and scalable customer engagement
Role Summary
We’re hiring a Front Deployed Engineer (FDE)—a customer-facing, field-deployed engineer who owns the end-to-end delivery of AI bots/agents.
This role is “frontline”: you’ll work directly with customers (often onsite), translate business reality into bot workflows, do prompt engineering + knowledge grounding, ship deployments, and iterate until it works reliably in production.
Think: solutions engineer + implementation engineer + prompt engineer, with a strong bias for execution.
Responsibilities
Requirement Discovery & Stakeholder Interaction
- Join customer calls alongside Sales and Revenue teams.
- Ask targeted questions to understand business objectives, user journeys, automation expectations, and edge cases.
- Identify data sources (CRM, APIs, Excel, SharePoint, etc.) required for the solution.
- Act as the AI subject-matter expert during client discussions.
Use Case & Solution Documentation
- Convert discussions into clear, structured use case documents, including:
- Problem statement & goals.
- Current vs. proposed conversational flows.
- Chatbot conversation logic, integrations, and dependencies.
- Assumptions, limitations, and success criteria.
Customer Delivery Ownership
Own deployment of AI bots for customer use-cases (lead qualification, support, booking, etc.). Run workshops to capture processes, FAQs, edge cases, and success metrics. Drive the go-live process: requirements through monitoring and improvement.
Prompt Engineering & Conversation Design
Craft prompts, tool instructions, guardrails, fallbacks, and escalation policies for stable behavior. Build structured conversational flows: intents, entities, routing, handoff, and compliant responses. Create reusable prompt patterns and "prompt packs."
Testing, Debugging & Iteration
Analyze logs to find failure modes (misclassification, hallucination, poor handling). Create test sets ("golden conversations"), run regressions, and measure improvements. Coordinate with Product/Engineering for platform needs.
Integrations & Technical Coordination
Integrate bots with APIs/webhooks (CRM, ticketing, internal tools) to complete workflows. Troubleshoot production issues and coordinate fixes/root-cause analysis.
What Success Looks Like
- Customer bots go live quickly and show high containment + high task completion with low escalation.
- You can diagnose failures from transcripts/logs and fix them with prompt/workflow/knowledge changes.
- Customers trust you as the “AI delivery owner”—clear communication, realistic timelines, crisp execution.
Requirements (Must Have)
- 2–5 years in customer-facing delivery roles: implementation, solutions engineering, customer success engineering, or similar.
- Hands-on comfort with LLMs and prompt engineering (structured outputs, guardrails, tool use, iteration).
- Strong communication: workshops, requirement capture, crisp documentation, stakeholder management.
- Technical fluency: APIs/webhooks concepts, JSON, debugging logs, basic integration troubleshooting.
- Willingness to be front deployed (customer calls/visits as needed).
Good to Have (Nice to Have)
- Experience with chatbots/voicebots, IVR, WhatsApp automation, conversational AI platforms with at least a couple of projects.
- Understanding of metrics like containment, resolution rate, response latency, CSAT drivers.
- Prior SaaS onboarding/delivery experience in mid-market or enterprises.
Working Style & Traits We Value
- High agency: you don’t wait for perfect specs—you create clarity and ship.
- Customer empathy + engineering discipline.
- Strong bias for iteration: deploy → learn → improve.
- Calm under ambiguity (real customer environments are chaotic by default).
We Are Hiring: HR Generalist ( Female )
Job Location - Sec 63, Noida
Work experience - 2 yrs to 3 yrs (operations/onboarding)
Notice Period - Immediate joiner to within 7 days
We are looking for a highly disciplined, detail-oriented, and process-driven HR Generalist to manage onboarding formalities, employee documentation, HR records, and engagement initiatives in strict adherence to organizational policies, compliance standards, and timelines. The role requires a strong focus on accuracy, coordination, and execution of HR processes.
Key Responsibilities:
• Ensure timely and error-free completion of all new joiner formalities, including documentation verification and system onboarding
• Conduct structured induction and orientation sessions in line with company policies and guidelines
• Maintain, organize, and regularly update employee personal files (both physical and digital)
• Ensure 100% accuracy and integrity of employee data in HRMS and internal records
• Monitor and track completion of onboarding checklists and documentation compliance
• Coordinate with internal stakeholders for seamless onboarding and employee support
• Maintain strict confidentiality of employee information and HR records
• Execute employee engagement initiatives and activities as per approved calendars and budgets
• Support internal communication related to HR policies, events, and announcements
• Assist in periodic audits by ensuring all documentation and records are complete and compliant
Requirements:
• Strong knowledge of HR documentation, processes, and compliance requirements.
• High attention to detail with strong organizational and coordination skills.
• Ability to manage multiple tasks within defined timelines.
• Proficiency in MS Office and HRMS platforms.

Job Description:
- 5+ years of development experience
- Expertise in IBM MDM version 11.x (Advanced Edition) product, hands-on multiple implementation experience.
- Hands on experience with IBM MDM Customization using features which includes Extension, Addition, Business proxies, SDP, Match-Merge Rules, Event Manager, Notification
- Exposure to MDM Information Domains (Party, Agreement, Location)
- Expert Java, JEE development background with RSA/ RAD, Websphere, MDM Workbench, SOAP Web Services, XML, XSD, WSDL
- Intermediate knowledge of SQL, Joins, Triggers(DB2/Oracle)
- Working knowledge of concepts like Service Oriented Architecture (SOA) and how to use these with different types of integration technologies
Primary Skills
- Expertise in IBM MDM version 11.x
- Hands-on multiple implementation experience.
- Customization using features
- Expert Java, JEE development background
- Intermediate knowledge of SQL
Secondary Skills
- Working knowledge of concepts like Service Oriented Architecture (SOA) and how to use these with different types of integration technologies
- Ability to work both independently and as part of a team
Position Summary:
The individual should be self-motivated, creative and proactive to work successfully in a
fast-paced environment including multiple platforms and architectures, and diverse technologies. The
Individuals will work closely with developers, project managers and other stakeholders.
Minimum Requirements:
Experience/Skills:
- Excellent verbal and written communication skills
- Primary Skillset: Strong Core Java experience (Java 8 concepts), JSPs, Servlets, Struts Framework
- Strong in Spring core, MVC and Spring JPA
- Working experience on UI using jQuery, JavaScript and CSS
- Experience in Angular is an added advantage.
- Strong knowledge of XML handling and JSON implementation
- Strong knowledge of Web Services (REST API)
- Experience in handling SQL and PL/SQL, preferably SQL Server
- Knowledge of Postgres is an added advantage.
- Experience in writing unit test cases with whole code coverage
- Experience in JMS implementations preferably Apache Active MQ
- Should be able to write Unit test cases with whole code coverage
Job Title: GCP Data Architect
Location: Madurai
Experience: 12+ Years
Notice Period: Immediate
About TechMango
TechMango is a rapidly growing IT Services and SaaS Product company that helps global businesses with digital transformation, modern data platforms, product engineering, and cloud-first initiatives. We are seeking a GCP Data Architect to lead data modernization efforts for our prestigious client, Livingston, in a highly strategic project.
Role Summary
As a GCP Data Architect, you will be responsible for designing and implementing scalable, high-performance data solutions on Google Cloud Platform. You will work closely with stakeholders to define data architecture, implement data pipelines, modernize legacy data systems, and guide data strategy aligned with enterprise goals.
Key Responsibilities:
- Lead end-to-end design and implementation of scalable data architecture on Google Cloud Platform (GCP)
- Define data strategy, standards, and best practices for cloud data engineering and analytics
- Develop data ingestion pipelines using Dataflow, Pub/Sub, Apache Beam, Cloud Composer (Airflow), and BigQuery
- Migrate on-prem or legacy systems to GCP (e.g., from Hadoop, Teradata, or Oracle to BigQuery)
- Architect data lakes, warehouses, and real-time data platforms
- Ensure data governance, security, lineage, and compliance (using tools like Data Catalog, IAM, DLP)
- Guide a team of data engineers and collaborate with business stakeholders, data scientists, and product managers
- Create documentation, high-level design (HLD) and low-level design (LLD), and oversee development standards
- Provide technical leadership in architectural decisions and future-proofing the data ecosystem
Required Skills & Qualifications:
- 10+ years of experience in data architecture, data engineering, or enterprise data platforms
- Minimum 3–5 years of hands-on experience in GCP Data Service
- Proficient in:BigQuery, Cloud Storage, Dataflow, Pub/Sub, Composer, Cloud SQL/Spanner
- Python / Java / SQL
- Data modeling (OLTP, OLAP, Star/Snowflake schema)
- Experience with real-time data processing, streaming architectures, and batch ETL pipelines
- Good understanding of IAM, networking, security models, and cost optimization on GCP
- Prior experience in leading cloud data transformation projects
- Excellent communication and stakeholder management skills
Preferred Qualifications:
- GCP Professional Data Engineer / Architect Certification
- Experience with Terraform, CI/CD, GitOps, Looker / Data Studio / Tableau for analytics
- Exposure to AI/ML use cases and MLOps on GCP
- Experience working in agile environments and client-facing roles
What We Offer:
- Opportunity to work on large-scale data modernization projects with global clients
- A fast-growing company with a strong tech and people culture
- Competitive salary, benefits, and flexibility
- Collaborative environment that values innovation and leadership
1. Providing SEO optimized unique and plagiarism-free content
2. Ensuring the quality of content assigned to you
3. Managing the work-from-home content writers and reviewing & editing articles written by them
4. Publishing content on our websites and mobile apps
- Proficient in the development of Base Software in AUTOSAR.
- Experience in configuration of different AUTOSAR BSW components (Comms/DCM/DEM/Memory etc.)
- Experience working in any of the commercial AUTOSAR
1. As a founding backend engineer, tackle a wide range of technical challenges: from
designing powerful new integrations to scaling our real-time web service to hundreds
of users
2. Build high-impact, end-user features that vastly improve user productivity.
3. In a small cross-functional team you will collaborate closely to discuss the feasibility
and direction of prototypes or planned product features.
4. Address complex problems at both an application and system-level, and maintain
existing codebases
5. Work directly with CTO to set the tone for the engineering culture and create
processes for improving engineering standards
This role is tailor-made for you if
1. You have a work experience of 3+ years as a Backend Developer
2. You have hands-on experience with Node JS, Golang will be a plus
3. Demonstrated fluency with REST APIs, third-party libraries, and client/server
architectures
5. You have experience with maintaining backend microservices
6. You are comfortable conducting code reviews and giving feedback to ensure high
standards of code maintainability and extensibility
7. You are energized by ambiguity and can create structure in a dynamic, fast-paced
environment
8. You’ve high confidence, low ego, and are generally a good human being :)
You earn brownie points if
1. You love Slack (we are a Slack first company)
2. You have been part of an early/mid-stage start-up before
3. You love TechCrunch. We are obsessed with reading and talking about startups
4. You have created some amazing open-source projects
This is a remote position.
- Design and build strong, resilient, and robust APIs, libraries, and tools to power customers, engineers, and operations
- Own functionality and scalability features by taking responsibility from inception to post-deployment.
- Be responsible for full software development life-cycle - design, development, testing, operating in production
- Uphold our high engineering standards and bring consistency to the codebases, infrastructure, and processes you will encounter.
- Serve as technical lead, contributing to and directing the execution of complex projects with other engineers
- Mentor software engineers and set the standard for the next generation of Finly engineers
- Proactively identify and prioritize improvements to the team's processes, codebases and best practices
Requirements
- 3 to 6 years' experience creating libraries and designing scale-able backend systems
- Experience working with SQL or NoSQL databases
- Familiarity with software engineering development cycles
- Experience working with backend programming languages (Ruby, Python)
- Ability to hold yourself and the team to high standards
- Strong communication (written and verbal) and interpersonal skills
- Ability to provide in-depth evaluation of multiple technical directions and determine trade-offs of each
- Strong propensity to make data-driven decisions on technical architecture and project prioritization
- Experience collaborating with experts in product, design, and operations.
- Experience driving initiatives at a broader level across an organization or company
- Strong writing skills
- Proactive approach









