MyOperator - VoiceTree Technologies

About MyOperator

MyOperator is a Business AI Operator platform that allows businesses, teams, and AI Agents to work in tandem for customer operations, i.e., handle Sales, Support, Escalation, Feedback, and Refund processes. With over 12,000+ businesses using our platform, we are the largest in the space.

MyOperator is built for people who want to work on ambitious problems at a meaningful scale. We value ownership, speed, critical thinking, and a bias for building things that create real customer and business outcomes. This is a high-expectation, high-learning environment where people are trusted to think independently, challenge ideas openly, move with urgency, and keep raising the bar as we build for long-term impact.

Role Overview

MyOperator's platform handles billions of real-time interactions - cloud call centers, IVR flows, WhatsApp APIs, AI voicebots, and a unified communication suite. As Manager QA, you will own quality across this entire product surface: from defining the QA strategy and automation architecture to taking accountability for production escapes and release confidence.

This is not a sign-off role. You define what "good" looks like, build the systems to enforce it, and lead a team that treats quality as a product outcome, not a checkpoint. You will work directly with Engineering, Product, and DevOps to embed quality at every stage of the development lifecycle. If you've scaled automation frameworks, reduced defect escape rates measurably, and built QA cultures where the team doesn't wait to be told what to test, this role is built around you.

Key Responsibility Areas

• Own and enforce the quality bar across MyOperator's full product suite - Cloud Call Center, IVR & Call Flows, WhatsApp API, AI Voicebots, and Unified Communication Platform from sprint planning through production.
• Architect and scale automation frameworks across UI (Web/Mobile), REST and GraphQL APIs, and end-to-end integration flows; integrate these into CI/CD pipelines for continuous testing.
• Define, track, and improve quality metrics including defect escape rate, automation coverage percentage, test cycle time, flakiness rate, and Mean Time to Detect (MTTD).
• Lead performance and load testing strategies using JMeter, k6, or Locust to validate system behavior under production-scale traffic conditions.
• Drive Root Cause Analysis (RCA) for production incidents and implement systemic fixes to prevent recurrence, not just mitigation.
• Lead, mentor, and scale the QA team; set clear performance expectations, run regular calibrations, and build an ownership-driven, bias-for-action team culture.
• Establish and maintain release entry/exit criteria, test environment parity with production, and structured test data management processes.

Requirements - Must Have

• 5-8 years in QA with at least 2 years in a lead or ownership role managing a team of 3 or more.
• Prior experience with technologies like Telephony, VOIP, WebRTC, Voice Bots, Sockets, and WebSockets is a must-have.
• Hands-on experience in testing and quality assurance of applications/products involving UDP (User Datagram Protocol) communication, including validation of reliability, performance, and network-level troubleshooting.
• Hands-on expertise with one or more automation frameworks: Selenium, Cypress, Playwright, or Appium with a demonstrated ability to build or significantly scale a framework from the ground up.
• Proficiency in Python, Java, or JavaScript for writing and maintaining automation code.
• At least 2+ years of strong hands-on experience in API testing using Postman or RestAssured, and CI/CD integration using Jenkins, GitHub Actions, or GitLab CI.
• Documented track record on the resume (via explicitly stated metrics) demonstrating a quantifiable reduction in defect escape rates or improvement in automation coverage.
• Experience with performance/load testing tools (JMeter, k6, or Locust) in a real production context.

Requirements - Good to Have

• Prior experience at a SaaS, CPaaS, or Cloud Telephony company; understanding of SIP or IVR.
• Exposure to AWS, GCP, or Azure in the context of test environment management or deployment pipelines.
• Experience testing microservices and event-driven systems, including webhooks, async flows, and message queues.
• Familiarity with contract testing (Pact) or AI/ML-specific testing - chatbots, voicebots, NLP output validation.
• Knowledge of basic security testing principles, OWASP top 10, or chaos/resilience testing.

This profile is not for

• Someone whose primary mode (as inferred from past role descriptions) is purely reviewing test cases and delegating execution rather than building and owning the automation stack themselves.
• Someone who treats QA sign-off as the finish line—this role is accountable for customer experience, not just green test runs.
• Candidates lacking demonstrable, hands-on evidence of building automation frameworks in their profile; this role cannot be fulfilled by purely manual QA or strictly managerial profiles

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 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).

About MyOperator

MyOperator is a Business AI Operator platform that allows businesses, teams, and AI Agents to work in tandem for customer operations, i.e., handle Sales, Support, Escalation, Feedback, and Refund processes. With over 12,000+ businesses using our platform, we are the largest in the space.

MyOperator is built for people who want to work on ambitious problems at a meaningful scale. We value ownership, speed, critical thinking, and a bias for building things that create real customer and business outcomes. This is a high-expectation, high-learning environment where people are trusted to think independently, challenge ideas openly, move with urgency, and keep raising the bar as we build for long-term impact.

Role Overview

MyOperator's platform handles billions of real-time interactions — cloud call centers, IVR flows, WhatsApp APIs, AI voicebots, and a unified communication suite. As Manager QA, you will own quality across this entire product surface: from defining the QA strategy and automation architecture to taking accountability for production escapes and release confidence. This is not a sign-off role. You define what "good" looks like, build the systems to enforce it, and lead a team that treats quality as a product outcome — not a checkpoint.

You will work directly with Engineering, Product, and DevOps to embed quality at every stage of the development lifecycle. If you've scaled automation frameworks, reduced defect escape rates measurably, and built QA cultures where the team doesn't wait to be told what to test — this role is built around you.

Key Responsibility Areas

• Own and enforce the quality bar across MyOperator's full product suite — Cloud Call Center, IVR & Call Flows, WhatsApp API, AI Voicebots, and Unified Communication Platform — from sprint planning through production
• Architect and scale automation frameworks across UI (Web/Mobile), REST and GraphQL APIs, and end-to-end integration flows; integrate these into CI/CD pipelines for continuous testing
• Define, track, and improve quality metrics including defect escape rate, automation coverage percentage, test cycle time, flakiness rate, and Mean Time to Detect (MTTD)
• Lead performance and load testing strategies using JMeter, k6, or Locust to validate system behavior under production-scale traffic conditions
• Drive Root Cause Analysis (RCA) for production incidents and implement systemic fixes to prevent recurrence — not just mitigation
• Lead, mentor, and scale the QA team; set clear performance expectations, run regular calibrations, and build an ownership-driven, bias-for-action team culture
• Establish and maintain release entry/exit criteria, test environment parity with production, and structured test data management processes

Requirements — Must Have

• 5–8 years in QA with at least 2 years in a lead or ownership role managing a team of 3 or more'.
• Prior experience with technologies like Telephony, VOIP, WebRTC, Voice Bots, Sockets and WebSockets is a must have.​
• Hands-on expertise with one or more automation frameworks: Selenium, Cypress, Playwright, or Appium — with demonstrated ability to build or significantly scale a framework from the ground up
• Proficiency in Python, Java, or JavaScript for writing and maintaining automation code
• Strong hands-on experience in API testing using Postman or RestAssured, and CI/CD integration using Jenkins, GitHub Actions, or GitLab CI
• Demonstrable track record of reducing defect escape rates or improving automation coverage — with numbers to back it
• Experience with performance/load testing tools (JMeter, k6, or Locust) in a real production context

Requirements — Good to Have

• Prior experience at a SaaS, CPaaS, or Cloud Telephony company; understanding of SIP, IVR, VoIP, or WebRTC
• Exposure to AWS, GCP, or Azure in the context of test environment management or deployment pipelines
• Experience testing microservices and event-driven systems, including webhooks, async flows, and message queues
• Familiarity with contract testing (Pact) or AI/ML-specific testing — chatbots, voicebots, NLP output validation
• Knowledge of basic security testing principles, OWASP top 10, or chaos/resilience testing

This profile is not for

• Someone whose primary mode is reviewing test cases and delegating execution rather than building and owning the automation stack themselves
• Someone who treats QA sign-off as the finish line — this role is accountable for customer experience, not just green test runs
• Someone who waits for complete requirements before starting and escalates ambiguity upward instead of driving clarity

About MyOperator

MyOperator is a Business AI Operator platform that allows businesses, teams, and AI Agents to work in tandem for customer operations, i.e., handle Sales, Support, Escalation, Feedback, and Refund processes. With over 12,000+ businesses using our platform, we are the largest in the space.

MyOperator is built for people who want to work on ambitious problems at a meaningful scale. We value ownership, speed, critical thinking, and a bias for building things that create real customer and business outcomes. This is a high-expectation, high-learning environment where people are trusted to think independently, challenge ideas openly, move with urgency, and keep raising the bar as we build for long-term impact.

About the Role

We are looking for a Senior Performance Marketing Specialist who will independently own MyOperator's paid acquisition strategy across Google, Meta, and LinkedIn. This is not an execution-support role. You will be the primary strategic and operational owner of performance marketing, responsible for designing campaign architecture, optimizing funnel journeys, and driving down cost per qualified lead and CAC while scaling pipeline volume.

You will work directly with the Marketing Head and operate with high autonomy. The expectation is that you bring both the strategic thinking to identify where and how to invest, and the hands-on depth to act on it without needing to hand off to an executor.

Key Responsibility Areas

• Design and own paid acquisition strategy across Google Ads, Meta, and LinkedIn, including campaign architecture, audience segmentation, bidding strategy, and budget allocation across channels.
• Drive reduction in CPQL (cost per qualified lead) and CAC through continuous experimentation with creatives, landing pages, targeting parameters, and funnel touchpoints.
• Scale qualified lead volume by identifying high-performing audience segments, channel combinations, and conversion triggers specific to B2B SaaS buying behavior.
• Build and maintain full-funnel attribution using Google Tag Manager and GA4, ensuring accurate tracking of lead quality from click to closed revenue.
• Analyze funnel drop-off points across the acquisition journey and execute conversion rate optimization interventions with documented hypotheses and results.
• Develop a structured experimentation roadmap covering A/B tests, creative variants, and offer testing, and translate results into channel strategy decisions.
• Report on performance against pipeline and efficiency targets weekly, with clear recommendations rather than data readouts alone.

Requirements - Must Have

• 3 to 5 years of hands-on performance marketing experience in a B2B SaaS or technology product company.
• Demonstrated ownership of Google Ads and Meta Ads campaigns with measurable outcomes on CPQL, CAC, or ROAS, verifiable via portfolio, case studies, or interview.
• Working proficiency in GTM and GA4 for event tracking, funnel analysis, and attribution setup.
• Proven ability to independently design and execute campaign strategy without relying on a manager to define priorities or approaches.
• Experience running structured A/B or multivariate experiments on paid channels and translating results into strategy changes.

Requirements - Good to Have

• Experience with LinkedIn Ads for B2B demand generation targeting mid-market or enterprise segments.
• Familiarity with AI-assisted campaign optimization tools or automation layers within Google and Meta platforms.
• Exposure to CRM integration with ad platforms such as HubSpot or Salesforce audience sync and offline conversion imports.
• Prior experience marketing a SaaS product to SMB or mid-market buyers in India.
• Knowledge of intent-based targeting, retargeting architecture, or ABM frameworks for B2B pipelines.

This Profile is Not For

• Candidates who have only executed campaigns under direction and have not independently owned strategy, budget decisions, or performance targets.
• Candidates whose primary background is in brand, content, or organic marketing with limited hands-on paid media depth.
• Candidates looking for a role where performance marketing is one part of a broader generalist mandate.

About MyOperator

MyOperator is a Business AI Operator platform that enables businesses, teams, and AI agents to work together seamlessly for customer operations such as Sales, Support, Escalations, Feedback, and Refund processes. With 12,000+ businesses using our platform, we operate at meaningful scale and power mission-critical communication workflows including voice bots, WhatsApp automation, and intelligent call routing.

We are building for reliability, speed, and impact. MyOperator values ownership, critical thinking, and execution. This is a high-expectation, high-learning environment where engineers are empowered to solve complex problems and build systems that directly affect customer outcomes.

Role Overview

We are looking for a skilled and proactive Site Reliability Engineer (SRE) to take end-to-end ownership of production reliability, observability, and performance engineering across MyOperator’s AI-powered communication infrastructure.

This role is not operational-only — it requires strong system design thinking, deep troubleshooting ability, and a production ownership mindset. You will define reliability standards, build observability frameworks, lead incident response, and drive SLO-based engineering practices across distributed AWS and Kubernetes environments.

Key Responsibilities

• Own production reliability, uptime, latency, and error budgets across critical services.
• Design and manage production-grade monitoring using Grafana, VictoriaMetrics (Prometheus), and PromQl, AWS CloudWatch.
• Define and enforce SLIs, SLOs, and SLA thresholds for AI communication systems (voice bots, WhatsApp APIs, call routing).
• Build real-time operational dashboards for incident response, capacity planning, and leadership visibility.
• Implement end-to-end distributed tracing using OpenTelemetry (OTEL Collector).
• Design and maintain centralized logging with strong correlation between logs, metrics, and traces.
• Create SLO-based alerting systems with minimal noise and fast incident detection.
• Lead incident response lifecycle: alert triage, mitigation, RCA documentation, and preventive improvements.
• Drive MTTR reduction through structured monitoring, automation, and reliability engineering practices.
• Monitor and troubleshoot AWS EKS (Kubernetes) production workloads.
• Instrument and monitor LLM API integrations, AI inference pipelines, and messaging systems.
• Analyze logs using OpenSearch / ELK for anomaly detection and root cause identification.
• Automate operational workflows using Python or Bash to eliminate manual toil.
• Drive performance optimization, scalability improvements, and capacity planning.
• Collaborate with engineering teams to instrument new services from day one.

Required Skills & Qualifications

• 3–6 years of experience in Site Reliability Engineering, DevOps, or Platform Engineering roles.
• Hands-on experience with:
• VictoriaMetrics / Prometheus (time-series monitoring)
• Grafana dashboards and visualization
• PromQL for writing complex queries and alerts
• Experience implementing distributed tracing using OpenTelemetry (Mandatory).
• Strong experience with centralized logging systems (ELK / OpenSearch / Loki).
• Experience with alerting frameworks such as Alertmanager or Grafana Alerts.
• Strong understanding of SLIs, SLOs, SLA design, and reliability engineering principles.
• Hands-on experience managing AWS production workloads (EC2, RDS, ELB, CloudWatch, IAM).
• Experience with Kubernetes (AWS EKS preferred).
• Familiarity with CI/CD pipelines and automation tools.
• Good understanding of Linux systems, networking, and cloud infrastructure.
• Experience handling production incidents and participating in on-call rotations.
• Ability to automate operational tasks using Python or Bash.

Good to Have

• Experience with OpenSearch / ELK log pipelines and anomaly detection.
• Kubernetes monitoring (pod health, node metrics, autoscaling behavior).
• CI/CD observability integration (Jenkins, GitHub Actions).
• Experience in monitoring LLM APIs and AI inference pipelines.
• Familiarity with MLOps or AI observability tools (Arize, WhyLabs, etc.).
• Service mesh exposure (Istio).
• Infrastructure as Code (Terraform, CloudFormation).
• Experience with chaos engineering or load testing tools.
• Multi-cluster or multi-region architecture exposure.

Key Expectations

• Ownership of production systems and high availability.
• Strong troubleshooting and debugging skills.
• Focus on automation and reliability improvements.
• Proactive approach to incident prevention.
• Ability to reduce alert noise and improve signal quality.
• Data-driven approach to reliability engineering.

This Role Is Not For

• Candidates with purely development experience and no production ownership.
• Candidates without real incident response or on-call experience.
• Freshers or candidates with less than 3 years of experience.

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

As a Customer Support Representative, you will be the first point of contact for customers reaching out via IVR (inbound calls), chat, and email.

You will be responsible for resolving customer issues within defined SLAs, delivering a high-quality customer experience, and proactively identifying upsell or cross-sell opportunities.

This role is performance-driven, with clear KRAs and KPIs focused on resolution speed, ownership, customer satisfaction, and proactive support.

Key Responsibilities

1. Customer Issue Resolution & Productivity

• Handle inbound calls, chats, and email tickets professionally and efficiently.
• Ensure accurate ticket creation and categorisation in the CRM for every interaction.
• Resolve customer issues within defined SLAs (majority within 4 business hours).
• Maintain high First Contact Resolution (FCR) for IVR interactions.
• Maintain quick First Response Time (FRT) for chat and email tickets.
• Maintain high availability and responsiveness during assigned shifts.

2. Customer Experience & Satisfaction

• Deliver a positive, empathetic, and solution-oriented experience during every customer interaction.
• Maintain high Customer Satisfaction (CSAT) scores by setting the correct expectations.
• Ensure customers clearly understand the resolution before closing tickets.
• Provide complete and accurate support to ensure issues are fully resolved.

3. Ownership & Accountability

• Take end-to-end ownership of assigned tickets until closure.
• Avoid unnecessary escalations by resolving issues at the first touchpoint whenever possible.
• Proactively follow up on pending cases and ensure closure within the defined SLA.
• Escalate issues only when necessary, providing complete context and documentation.

4. Revenue Signals, Cross-Sell & Proactiveness

• Identify and share qualified upsell, cross-sell, or referral opportunities during customer interactions.
• Highlight relevant MyOperator products or features based on the customer’s needs.
• Share opportunities clearly with the Account Manager via CRM or defined processes.

5. Process Adherence & CRM Hygiene

• Follow defined support processes, workflows, and communication guidelines.
• Ensure accurate and timely CRM updates for all tickets and customer interactions.
• Participate in new process rollouts, tool adoption, and team initiatives.

Requirements ( Skills & Competencies )

Must-Have Skills

• Strong verbal and written communication skills in English (Hindi or regional languages are a plus).
• Strong customer-first mindset with problem-solving ability.
• Ability to multitask across calls, chats, and tickets simultaneously.
• Comfortable working with CRM tools and support dashboards.
• Willingness to work in shifts and weekends as per business requirements.

Good-to-Have Skills

• Prior experience in B2B SaaS, telecom, or customer support roles.
• Experience handling chat or omnichannel support environments.
• Basic understanding of CRM platforms or cloud communication tools.

Behavioural Expectations

• Ownership-driven: Takes responsibility and ensures problems are resolved completely.
• Process-oriented but customer-centric: Balances internal processes with customer satisfaction.
• Comfortable working with targets, SLAs, and performance scorecards.
• Open to feedback, coaching, and continuous improvement.

Strong team player who collaborates well with Team Leads and Account Managers.

About MyOperator

MyOperator is a Business AI Operator and 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.

Role Overview

We are looking for a target-oriented Customer Success Executive / Account Manager to manage and grow a portfolio of small and mid-sized business clients.

The primary responsibility of this role is to drive revenue from existing accounts through renewals, cross-sell, and up-sell opportunities, while ensuring high customer satisfaction and minimizing churn.

The candidate will take complete ownership of assigned accounts, act as a trusted advisor to clients, and collaborate closely with internal teams to resolve issues effectively.

Key Responsibilities

Account Management

• Manage and maintain relationships with assigned customer accounts
• Take complete ownership of revenue growth from existing clients
• Ensure timely contract renewals and account retention

Revenue Growth

• Identify opportunities for cross-sell and up-sell
• Drive account expansion and revenue growth from existing customers
• Meet monthly and quarterly revenue targets

Customer Success

• Ensure customers are effectively using the product and receiving value
• Act as the primary point of contact for account-related queries
• Resolve customer issues by coordinating with internal teams

Retention & Risk Management

• Identify potential churn risks and take proactive measures
• Maintain long-term relationships with customers

CRM & Data Management

• Maintain accurate records of all customer interactions in CRM
• Ensure proper account updates and data accuracy

Customer Satisfaction

• Maintain high CSAT scores
• Encourage positive customer feedback and reviews

Requirements

• Graduate in any discipline
• 1–2 years of experience in Customer Success / Account Management / Sales roles
• Excellent communication and interpersonal skills
• Customer-first mindset with strong problem-solving ability
• Proficiency in MS Excel and CRM tools
• Strong sense of responsibility and ownership
• Self-driven, proactive, and target-oriented attitude
• Ability to work collaboratively with cross-functional teams

Benefits

• 5 days working with alternate Saturdays
• Competitive fixed salary with performance-based incentives
• Incentives linked to renewals, expansions, and revenue growth
• Clear career growth path in Customer Success and Account Management
• Opportunity to work in a high-growth SaaS environment
• Recognition and rewards for top performers
• Health and wellness benefits as per company policy
• Paid leaves and holidays as per company policy

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.

Key Responsibilities

● Lead the entire channel sales cycle from identifying potential partners to driving recurring revenue.

● Recruit, onboard, and activate new channel partners across multiple regions and industries.

● Build and nurture strong partner relationships through structured business planning, regular engagement, and ongoing support.

● Conduct product training and sales enablement sessions to empower partners with the knowledge and tools needed for success.

● Track partner performance and ensure achievement of sales targets through regular reviews, dashboards, and performance insights.

● Collaborate closely with internal teams including Sales, Marketing, Product, and Customer Success to ensure alignment on partner requirements and success.

● Ensure adherence to commercial policies, compliance norms, and revenue-sharing structures.

● Take ownership of revenue targets for specific partner regions or verticals.

Requirements

1. Educational Qualification: Bachelor's degree in Business, Marketing, or a related field. MBA is a plus.

2. Work Experience: 3–5 years in channel sales, partnerships, or B2B sales, preferably in SaaS, Telecom, or Cloud Communication domains.

3. Partner Handling: Proven experience in onboarding, managing, and growing revenue through channel partners or resellers.

4. Sales Acumen: Strong understanding of the sales cycle, indirect sales models, and partner revenue contribution metrics.

5. Communication Skills: Excellent verbal and written communication for engaging partners and internal teams effectively.

6. Training & Enablement: Ability to conduct partner training sessions and share regular product/sales updates.

7. Analytical Skills: Competence in using CRM tools and analyzing partner performance reports.

8. Process Orientation: Strong follow-up, reporting, and documentation discipline to manage multiple partner accounts.

9. Self-Motivation: Highly driven with a proactive approach and ownership mindset; able to work with minimal supervision.

10. Willingness to Travel: Ready for occasional travel for partner meetings, onboarding, or events (if applicable).

Benefits

* Performance-Based Incentives: Attractive variable pay structure based on partner revenue contribution and performance milestones.

* Growth Opportunities: Fast-track career progression in a high-growth SaaS company with leadership visibility.

* Learning & Development: Access to training, mentorship, and cross-functional exposure to build strategic sales and partnership capabilities.

* Hybrid Work Flexibility: Flexibility to work remotely or from the office as per business needs.

* Collaborative Culture: Work with a passionate and ambitious team that values ownership, innovation, and transparency.

* Partner Network Exposure: Build a strong ecosystem presence with access to leading partners across India.

* Recognition Programs: Be part of regular internal recognition initiatives, awards, and appreciation events.

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).

About the Company

MyOperator is a Business AI Operator and category leader that brings WhatsApp, voice calls, and AI-powered chat & voice bots together into one unified business communication platform.

Unlike fragmented 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 customer responses, higher resolution rates, and scalable engagement without increasing headcount.

Role Overview

We are looking for a high-ownership Operations Intern who wants hands-on exposure to backend operations at a fast-growing AI SaaS company. This is not a shadow internship you will work on real operational responsibilities and will be considered for full-time opportunity upon successful completion of the internship. The tenure of internship will be of 6 months at Noida Sec 2

Key Responsibilities

• Support coordination with telecom operators and data center partners
• Assist in vendor management and asset tracking
• Handle operational requests and queries through the ticketing system
• Support basic troubleshooting of assets and infrastructure (with guidance)
• Assist with day-to-day administrative and backend operations
• Ensure smooth execution of operational processes in a fast-paced environment

Who Should Apply

• Graduates (BBA preferred; B.Com / BA / BSc are welcome)
• 0–1 year of experience or strong internship exposure in operations
• Strong communication and coordination skills
• Comfortable working with MS Excel, Word, and PowerPoint
• Willingness to learn technical and operational systems
• Ability to take ownership and work independently

What You Get

• Hands-on exposure to AI SaaS, telecom, and infrastructure operations
• A steep learning curve with direct interaction with cross-functional teams
• Laptop reimbursement