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Social Media Executive | The Brand Concierge

📍 New Delhi | Full-Time | On-site

💰 Salary: ₹2.4 – ₹3.6 LPA

About the Role

The Brand Concierge, a Delhi-based 360° marketing agency, is looking for a Social Media Manager to join our growing team. We are seeking a creative, organized, and execution-focused professional with experience in managing lifestyle-focused brands.

Candidates with prior experience in Fashion, Beauty, Jewellery, Home Décor, Luxury, or Lifestyle brands will be preferred.

Key Responsibilities

• Plan and manage social media content calendars across platforms
• Write engaging captions and content aligned with brand objectives
• Coordinate brand shoots, influencer collaborations, and campaign execution
• Manage client communication and participate in client meetings
• Coordinate with designers, creators, and internal teams for timely deliverables
• Monitor trends, engagement metrics, and platform performance
• Create basic creatives using Canva and assist with content creation, videography, and reels

Requirements

• 1–2 years of experience in Social Media Marketing, Digital Marketing, or Account Management
• Prior agency experience is preferred
• Experience working with Fashion, Beauty, Jewellery, Lifestyle, Luxury, or Home Décor brands is a strong advantage
• Proficiency in Canva, CapCut, InShot, AI tools, and content creation platforms
• Strong communication, coordination, and project management skills
• Portfolio/work samples are mandatory
• Must own a laptop

Preferred Skills

• Influencer marketing and campaign management
• Content strategy and trend spotting
• Basic video editing and reel creation
• Client servicing and stakeholder management

To Apply:

Share your resume along with your portfolio/work samples showcasing relevant social media campaigns and content.

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.
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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).

• Bachelor’s degree in Computer Science, Information Technology, or a similar field.
• Previous experience working as a React.js Developer.(2-8 years)
• In-depth knowledge of JavaScript, CSS, HTML, and front-end languages.
• Knowledge of REACT tools including React.js, Webpack, Enzyme, Redux, and Flux.
• Experience with user interface design.
• Knowledge of performance testing frameworks including Mocha and Jest.
• Experience with browser-based debugging and performance testing software.
• should have hands-on experience in backend software development using Java.
• should have proven expertise in Spring Boot REST/Microservices.
• should have working experience with relational and NoSQL databases.

Competencies -
• Experience in testing Web Based applications and APIs
1. Understanding of HTTP Fundamentals - HTTP Verbs/Cookies/Caching
2. Understanding of Rest Based APIs.
3. Experience with complex software features, and build effective test plans
• Experience in automating Rest Based APIs using frameworks like RestAssured
• Experience in automating UI Tests preferably using Selenium and Java
• Exposure to Distributed Load Testing using Jmeter
• Strong skills in Java and TestNG
• Understanding of Maven
• Experience with SQL
• Exposure to Jenkins/git
• Strong Logical Reasoning
• Exposure to AWS
• Strong Communication Skills - Able to express clearly and confidently
• High enthusiasm and zeal to learn and adapt to changing situations

What Else?
Ours is a young and dynamic team which is looks to excel in every work item they lay their hands on. Regular beer hangouts, brainstorming sessions and challenging conversations would be a part of your regular day at work