Sales Development Representative – Cloud

About MyOperator 

MyOperator is a Business AI Operator, a category-leader that unifies WhatsApp, Calls, and AI-powered chat & 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 Razorpay, MyOperator enables faster responses, higher resolution rates, and scalable customer engagement — without fragmented tools or increased headcount. 

Role Overview

Are you a results-driven and detail-oriented professional with a strong understanding of telecom regulations and backend operations? We are seeking a dynamic Compliance Analyst - Operations to take ownership of backend operations, vendor management, and ensure full adherence to telecom-related compliances. This role requires a deep understanding of telecom infrastructure, data center operations, and regulatory frameworks. You will be instrumental in driving compliance, optimizing operational processes, supporting strategic business growth, and mitigating potential operational and compliance risks.

Key Responsibilities: 

• Regulatory Compliance: Ensure adherence to all telecom-related laws, licenses, and regulatory guidelines (TRAI, DoT, etc.). Stay updated on compliance mandates, coordinate audits and filings, and manage relationships with regulatory bodies.
• Telecom Procurement & Vendor Management: Conduct end-to-end procurement of telecom resources and services, ensuring cost efficiency, SLA adherence, and compliance in vendor contracts. Develop and execute vendor management strategies including evaluation, onboarding, contract compliance checks, and performance reviews. 
• Data Center Operations: Oversee procurement and resource planning for data center infrastructure, monitor performance, identify areas for optimization and regulatory alignment, and ensure adherence to relevant security standards. 
• Vendor Governance: Develop and execute vendor management strategies including evaluation, onboarding, contract compliance checks, and performance reviews. Manage relationships with key vendors
• Asset & Infrastructure Troubleshooting: Manage technical troubleshooting, minimize downtime, and ensure preventive maintenance protocols for telecom infrastructure and data centers.
• Ticketing & Issue Resolution: Handle operational queries via ticketing system, conduct root cause analysis, and suggest process improvements.
• SOPs & Process Development: Define, document, and suggest Standard Operating Procedures (SOPs) across telecom, compliance, and backend operations .
• Audit & Cost Optimization Support: Assist in telecom/vendor audits (internal and external) and contribute to cost-efficiency initiatives across operations. Familiarity with audit frameworks is desirable.
• Risk Management & Mitigation: Identify potential operational and compliance risks and develop and implement mitigation strategies. Stakeholder Management: Interact and manage relationships with external stakeholders like regulatory bodies and auditors.
• Admin Oversight: Manage end-to-end admin tasks including facility coordination, vendor contracts, and support services to ensure smooth daily operations

Experience: 1-3 years minimum in backend operations with mandatory exposure to telecom infrastructure and telecom regulatory compliance.

• Skills: Deep understanding of the TRAI/DoT landscape, strong vendor management, analytical skills, proficiency in MS Office/data reporting tools, and experience with ticketing systems.

What You’ll Do

● Partner with Product to spot high-leverage ML opportunities tied to business

metrics.

● Wrangle large structured and unstructured datasets; build reliable features and

data contracts.

● Build and ship models to:

○ Enhance customer experiences and personalization

○ Boost revenue via pricing/discount optimization

○ Power user-to-user discovery and ranking (matchmaking at scale)

○ Detect and block fraud/risk in real time

○ Score conversion/churn/acceptance propensity for targeted actions

● Collaborate with Engineering to productionize via APIs/CI/CD/Docker on AWS.

● Design and run A/B tests with guardrails.

● Build monitoring for model/data drift and business KPIs

What We’re Looking For

● 2–4 years of DS/ML experience in consumer internet / B2C products, with 7–8 models shipped to production end-to-end.

● Proven, hands-on success in at least two (preferably 3–4) of the following:

○ Recommender systems (retrieval + ranking, NDCG/Recall, online lift;

bandits a plus)

○ Fraud/risk detection (severe class imbalance, PR-AUC)

○ Pricing models (elasticity, demand curves, margin vs. win-rate trade-offs,

guardrails/simulation)

○ Propensity models (payment/churn)

● Programming: strong Python and SQL; solid git, Docker, CI/CD.

● Cloud and data: experience with AWS or GCP; familiarity with

warehouses/dashboards (Redshift/BigQuery, Looker/Tableau).

● ML breadth: recommender systems, NLP or user profiling, anomaly detection.

● Communication: clear storytelling with data; can align stakeholders and drive decisions.

Role Overview:

We are seeking a motivated .NET Developer with around 3 years of experience to join our backend development team. The ideal candidate should have hands-on experience in C#, ASP.NET Core, and SQL, with a strong understanding of object-oriented programming and API development. You will work closely with product, DevOps, and QA teams to build and enhance backend systems

supporting our trading and fintech platforms.

Key Responsibilities:

• Develop, maintain, and enhance backend applications using .NET Core / ASP.NET MVC.

• Design and implement RESTful APIs for integration with frontend and third-party systems.

• Write clean, scalable, and efficient code following best practices.

• Work with SQL databases (preferably MS SQL Server) to design schemas, write queries, and optimize performance.

• Collaborate with product managers and frontend teams to translate requirements into technical solutions.

• Participate in code reviews, debugging, and troubleshooting production issues.

• Contribute to improving application performance, scalability, and security.

Required Skills & Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or related field.

• 3 years of experience in .NET development.

• Strong proficiency in C# and ASP.NET Core / ASP.NET MVC.

• Experience with Web APIs and RESTful architecture.

• Good knowledge of Entity Framework / LINQ.

• Hands-on experience with MS SQL Server or other relational databases.

• Understanding of OOP principles, design patterns, and software architecture concepts.

• Familiarity with Git or other version control systems.

• Basic understanding of HTML, CSS, and JavaScript (for integration purposes).

Nice-to-Have Skills:

• Exposure to Microservices architecture.

• Familiarity with Message Queues (Kafka, RabbitMQ).

• Knowledge of CI/CD tools and DevOps practices.

• Experience with cloud environments (AWS / Azure).

• Understanding of financial or trading systems is a plus.

Why Join Tradelab Technologies:

• Work on cutting-edge trading and fintech platforms used across the industry.

• Collaborative, growth-oriented environment with exposure to complex backend systems.

• Opportunity to learn from senior engineers and grow into full-stack or system design roles.

• Competitive salary and benefits

Job Description

Job Title: Project Manager or Program Manager

Job Type: Full-Time

Exp. – 7 to 10 Years

Location – Gurgaon.

Key Responsibilities

• Manage end-to-end project lifecycle across IT and Telecom domains from initiation to closure

• Apply Agile, Waterfall or Hybrid methodologies based on project needs

• Lead Agile ceremonies such as daily stand-ups, sprint planning, retrospectives and demos

• Drive collaboration among internal teams and third-party vendors for seamless delivery

• Prepare and maintain project documentation including plans, trackers, milestones and logs

• Ensure delivery on time, within scope and budget while managing multiple priorities

• Define scope, feasibility and deliverables during project initiation phase

• Monitor KPIs and proactively manage risks, blockers and project issues

• Maintain transparent and structured communication with clients and stakeholders

• Conduct client meetings for requirement gathering and expectation management

• Execute risk management practices to reduce project delivery obstacles

• Perform budget tracking, cost monitoring and financial reporting with corrective actions

• Prepare and deliver presentations for clients, leadership and internal teams

• Travel as required for project engagements including short-term or extended onsite support

• Utilize Microsoft Office tools for tracking, reporting and analysis

Mandatory Skills

• PMP and/or PRINCE2 certification

• Minimum 7 years of project management experience in IT and Telecom

• Hands-on experience delivering projects using Agile, Waterfall and Hybrid models

• Strong stakeholder management and communication skills

• Proficiency in project management tools such as MS Project, Jira, Trello and Confluence

• Strong analytical, organizational and decision-making abilities

Desirable Skills

• Experience working with cross-functional and distributed teams

• Experience in client-facing roles with direct customer interactions

• Ability to conduct financial analysis and budget forecasting

• Vendor management experience

Responsibilities:

• Collaborating with data scientists and machine learning engineers to understand their requirements and design scalable, reliable, and efficient machine learning platform solutions.
• Building and maintaining the applications and infrastructure to support end-to-end machine learning workflows, including inference and continual training.
• Developing systems for the definition deployment and operation of the different phases of the machine learning and data life cycles.
• Working within Kubernetes to orchestrate and manage containers, ensuring high availability and fault tolerance of applications.
• Documenting the platform's best practices, guidelines, and standard operating procedures and contributing to knowledge sharing within the team.

Requirements:

• 3+ years of hands-on experience in developing and managing machine learning or data platforms
• Proficiency in programming languages commonly used in machine learning and data applications such as Python, Rust, Bash, Go
• Experience with containerization technologies, such as Docker, and container orchestration platforms like Kubernetes.
• Familiarity with CI/CD pipelines for automated model training and deployment. Basic understanding of DevOps principles and practices.
• Knowledge of data storage solutions and database technologies commonly used in machine learning and data workflows.