QS & Planning Engineer

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).

Location: Bangalore

Experience: 2–5 years

Type: Full-time | On-site

Open Roles: 2

Start: Immediate

Why this role exists

Most systems work at a low scale.

Very few survive real production load, complex workflows, and enterprise edge cases.

We are building a platform that must:

• Scale from 500K → 20M+ interactions/month
• Handle complex insurance workflows reliably
• Become easier to deploy as it grows, not harder

This role exists to build the backend foundation that makes this possible.

What you’ll do

You will not just write services.

You will design and own core platform systems.

1. Scale the platform without breaking architecture

• Scale from 50K → 2M+ interactions/month
• Ensure:
• High availability
• Low latency
• Fault tolerance
• Avoid large rewrites — build systems that evolve cleanly

2. Build the workflow automation (WA) engine

• Design a flexible system with:
• States
• Stages
• Cohorts
• Dynamic workflows
• Ensure workflows:
• Handle edge cases reliably
• Can be configured easily
• Move from:
• Hardcoded flows → configurable execution engine

3. Build the insurance-specific data layer

• Design data models for:
• Policy states
• Claim workflows
• Consent tracking
• Ensure the system works across:
• Multiple insurers
• Multiple use cases
• Build a platform-first data layer, not use-case-specific hacks

4. Make deployment and setup simple

• Ensure workflows and data models are:
• Easy to configure
• Easy to launch
• Reduce friction for:
• Product teams
• Deployment teams

5. Create a compounding data advantage

• Build a data layer that:
• Improves with every deployment
• Captures structured signals
• Ensure data becomes a long-term edge, not just storage

6. Own production reliability

• Participate in on-call rotation across 3 engineers
• Ensure:
• Incidents are handled quickly
• Root causes are fixed permanently
• Build systems where reliability is shared, not individual

What success looks like

• Platform scales to 2M+ interactions/month smoothly
• Workflow engine supports complex, dynamic use cases
• Data layer enables fast deployment across accounts
• Edge cases are handled without constant firefighting
• System becomes easier to use as it grows
• Production issues are rare and predictable

Who you are

• You have 2-5 years of backend engineering experience
• You have built:
• Scalable systems
• Distributed services
• You think in:
• Systems
• Data models
• Trade-offs
• You are comfortable owning:
• Architecture
• Production systems

What will make you stand out

• Experience building:
• Workflow engines
• State machines
• Data-heavy platforms
• Strong understanding of:
• System design
• Distributed systems
• Failure handling
• Experience working in:
• High-scale production environments

Why join

• You will build the core backend of an AI platform
• Your work directly impacts:
• Scale
• Reliability
• Product capability
• You will design systems that move from:
• Use-case specific → platform-level infrastructure

What this role is not

• Not just API development
• Not limited to feature-level work
• Not disconnected from production realities

What this role is

• A system architect
• A builder of scalable platforms
• A driver of long-term technical advantage

One question to self-evaluate

Can you design backend systems that scale, handle edge cases, and become easier to use as they grow?

Strong DevOps /Cloud Engineer Profiles

Mandatory (Experience 1) – Must have 3+ years of experience as a DevOps / Cloud Engineer

Mandatory (Experience 2) – Must have strong expertise in cloud platforms – AWS / Azure / GCP (any one or more)

Mandatory (Experience 3) – Must have strong hands-on experience in Linux administration and system management

Mandatory (Experience 4) – Must have hands-on experience with containerization and orchestration tools such as Docker and Kubernetes

Mandatory (Experience 5) – Must have experience in building and optimizing CI/CD pipelines using tools like GitHub Actions, GitLab CI, or Jenkins

Mandatory (Experience 6) – Must have hands-on experience with Infrastructure-as-Code tools such as Terraform, Ansible, or CloudFormation

Mandatory (Experience 7) – Must be proficient in scripting languages such as Python or Bash for automation

Mandatory (Experience 8) – Must have experience with monitoring and alerting tools like Prometheus, Grafana, ELK, or CloudWatch

Mandatory (Company) – Top tier Product-based company (B2B Enterprise SaaS preferred)

Job Title: Performance Marketing Executive

Department: Digital Marketing

Location: Andheri East, Mumbai

Experience: 3 to 4 years in Performance

Employment Type: Full-time

About Us: We’re a fast-growing branding and marketing agency that works with emerging businesses and established brands alike. Our work goes beyond ads - we shape identities, build recall, and create campaigns that are as strategic as they are creative. To scale smarter and drive measurable impact, we’re looking for a Performance Marketing Executive who knows their way around paid media like the back of their hand.

Role Overview: As a Performance Marketing Executive, you will be responsible for planning, executing, optimizing, and reporting on paid campaigns across digital platforms. You’ll work closely with creative teams, strategists, and account managers to translate campaign goals into high-performing ads — all while keeping performance data front and center.

Key Responsibilities:

● Campaign Management:

○ Plan and execute performance marketing campaigns across Meta (Facebook/Instagram), Google Ads (Search, Display, YouTube), LinkedIn, and other relevant channels for various clients.

○ Ensure campaigns are aligned with broader brand and marketing goals for each client.

○ Manage budgets across platforms, maximising ROI and maintaining CPA/ROAS goals.

● Performance Analysis & Optimisation:

○ Track and analyse campaign performance using Google Analytics, platform dashboards, and internal tools.

○ Continuously test and optimize creatives, copies, targeting, and bid strategies.

○ Generate insightful performance reports with actionable next steps.

● Collaboration & Strategy:

○ Work closely with content, creative, and branding teams to develop compelling ad creatives and copies.

○ Collaborate with account managers and strategists to build full-funnel performance marketing plans tailored to client objectives.

● Keyword & Audience Research:

○ Conduct in-depth keyword research for SEM campaigns. ○ Define and refine target audience segments for better ad targeting and relevance.

● A/B Testing & Innovation:

○ Run structured A/B tests across platforms to improve CTR, conversion rates, and overall campaign performance.

○ Stay up-to-date with platform changes and emerging digital marketing trends.

Required Skills & Qualifications:

● 3 to 4 years of hands-on experience in performance marketing and paid media.

● Proficiency in Meta Ads Manager, Google Ads, LinkedIn Ads, and Google Analytics (GA4 preferred).

● Solid understanding of conversion tracking, pixel setup, UTM parameters, and basic funnel tracking.

● Strong Excel/Google Sheets skills for budget planning and reporting.

● Working knowledge of SEO and organic content strategy.

● Certification in Google Ads / Meta Blueprint.

● A data-first mindset with creative instincts.

Who You Are:

● You think in click-through rates and live for campaign dashboards.

● You understand the delicate balance between creative storytelling and conversion-driven content.

● You're not afraid to ask questions, test wild ideas, and push for better performance.

● You have an ROI driven approach.

● You enjoy working in a fast-paced, creative environment where no two campaigns look the same.

Selection Process:

Round 1: Telephonic Interview

Round 2: Technical Test + Personal Interview

Working Hrs.: 10.00 a.m. to 7.00 p.m. [Monday - Friday and Alternate Saturdays]

If anyone interested then apply through link:  https://tiny.cc/NGtalent 

Job Summary:

As an RPA Lead, you will be responsible for setting up and managing our RPA infrastructure using Microsoft Power Automate. With 4+ years of hands-on experience, you’ll collaborate with cross-functional teams to identify, design, and execute automation strategies that enhance efficiency and scalability.

Key Responsibilities:

• Design and implement scalable RPA solutions using Microsoft Power Automate
• Set up and manage RPA infrastructure and environments
• Work with stakeholders to identify automation opportunities
• Develop, test, and deploy automation workflows
• Troubleshoot and optimize automation processes for performance and reliability
• Ensure adherence to best practices in RPA development and governance

Required Skills & Qualifications:

• 4+ years of experience in RPA or automation engineering
• Proven expertise in Microsoft Power Automate (cloud & desktop flows)
• Solid understanding of automation design, triggers, and integrations
• Experience setting up RPA environments from scratch
• Strong analytical and problem-solving skills

Preferred Skills:

• Familiarity with Power Platform (Power Apps, Power BI)
• Knowledge of scripting (PowerShell, Python) for advanced automation
• Exposure to Agile methodologies and CI/CD pipelines

Responsibilities and Duties:

1. Work on an intranet portal for excellent employee user experience and productivity using Java full stack tools (React/Angular + Java (Spring boot)
2. Support Web App built for employee IT Applications provisioning process.
3. Take static design components and develop solutions to elevate work into engaging digital experiences.
4. Collaborate with the team to build backend code and integrations as needed.
5. Develop user interfaces that are standards-compliant, cross-browser compatible, and performance-optimized.
6. Create and maintain a repository of common and reusable code.
7. Develop and maintain documentation for code.

Qualifications & Skills:

1. Hands on experience with HTML, CSS, JavaScript, React (or Angular with willingness to explore React)
2. 6+ years of experience in Java full stack web app development
3. Familiarity with developing custom components as well as using component libraries such as MUI/Bootstrap/Ant Design
4. Comfortable navigating inside a UNIX/Linux environment
5. Ability to write REST APIs and consume with AJAX calls
6. Experience with Java/ Core Java

Perks and Benefits:

1. Attractive Bonus and Stock options for eligible positions
2. A whole suite of best in class leave bouquet: Paid Time Off , Maternity leave, Paternity leave, Sick leave, Casual Leaves, National Holidays  etc.
3. Medical insurance benefits of 5L covering parents (including COVID hospitalization)
4. Learning and Development - certification reimbursement (as applicable)
5. Host of benefits to curate your salary as per your need
6. Relocation benefits
7. World class office infrastructure with Gaming rooms, plush pantry and Break out areas. 

About YEXT:

The ultimate source for official answers about a business online should be the business itself. However, when consumers ask questions on company websites, too often they are left in the dark with wrong answers. Yext (NYSE: YEXT), the Search Experience Cloud, solves this problem by organizing a business's facts so it can provide official answers to consumer questions — wherever people search. Starting with the company website, then extending across search engines and voice assistants, businesses around the world, like Taco Bell, Marriott, and Jaguar Land Rover—as well as organizations like the U.S. State Department—trust Yext to radically improve the search experience on their websites and across the entire search ecosystem.

Yext is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ethnicity, religion, creed, national origin, ancestry, genetics, sex, pregnancy or childbirth, sexual orientation, gender (including gender identity or nonbinary or nonconformity and/or status as a trans individual), age, physical or mental disability, citizenship, marital, parental and/or familial status, past, current or prospective service in the uniformed services, or any characteristic protected under applicable law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know.