Maximo Technical Professional

Role & Responsibilities

Achieve Revenue and Market Share Targets:

Develop and implement effective sales strategies to meet or exceed revenue targets.

Identify and capitalize on new business opportunities to expand market share.

Customer Engagement and Relationship Management:

Identify and develop relationships with key accounts and potential customers.

Set up product demonstrations, discuss technical solutions, and manage complex negotiations to secure contracts.

Market Analysis and Strategic Planning:

Analyze market trends and competitors to identify growth opportunities.

Provide regular sales reports and forecasts to the Director of Sales, highlighting performance and strategic insights.

Cross-functional Collaboration and Seamless Execution:

Collaborate with internal stakeholders (operations, finance, customer service) to ensure seamless execution of sales plans.

Partner with customers during the initial days of product usage to ensure faster adoption and a smooth handover to account managers, ensuring a seamless customer experience.

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).

Store Manager – Apparel Retail

Job Summary:

We are looking for an experienced and customer-focused Store Manager to lead day-to-day retail operations in our apparel store. The role involves driving sales, managing store staff, maintaining visual merchandising standards, and ensuring excellent customer experience while achieving business targets.

Key Responsibilities:

Manage complete store operations including sales, staff, inventory, and customer service

Drive store sales and achieve monthly/quarterly targets

Recruit, train, motivate, and manage store team performance

Ensure high standards of customer service and handle customer escalations

Maintain visual merchandising as per brand guidelines

Monitor stock levels, minimize shrinkage, and ensure accurate inventory control

Analyze sales reports and implement action plans for improvement

Ensure compliance with company policies, SOPs, and safety standards

Key Skills & Competencies:

Strong leadership and team management skills

Excellent communication and customer-handling abilities

Sales-driven mindset with retail analytics knowledge

Visual merchandising and fashion sense

Problem-solving and decision-making skills

Qualifications & Experience:

Graduate in any discipline (MBA Retail preferred)

3–7 years of experience in apparel/fashion retail, with at least 1–2 years as Store Manager

Synopsis

• We are seeking an experienced Node JS Mongo DB Developer to join our development

team.

• As a Node.js MongoDB Developer, you will be responsible for designing, implementing,

and maintaining server-side applications using Node.js and MongoDB.

JOB ROLE :

• Integration of user-facing elements developed by front-end developers with server side

logic

• Writing reusable, testable, and efficient code

• In depth knowledge of node js and Express framework (more frameworks will be

preferred)

• Design and implementation of low-latency, high-availability, and performant applications

• Implementation of security and data protection

• Experience with Elastic search mongo database and SQL

• Strong proficiency with JavaScript.

• in depth knowledge on how JS works.

• Bonus points for experience working with GCP or AWS ecosystem such as Kubernetes,

• Familiarity working with VCS such as Bitbucket, Github/Gitlab

• Experience in automated unit test development practices and design methodologies

• Performing market research.
• Gathering and processing research data.
• Assisting with inventory control.
• Organizing staff meetings and updating calendars.
• Processing company receipts, invoices, and bills.
• Assisting and supporting management.
• Review data for deficiencies or errors, correct any incompatibilities if possible and check output
• Research and obtain further information for incomplete documents
• Apply data program techniques and procedures
• Generate reports, store completed work in designated locations and perform backup operations
• Scan documents and print files, when needed
• Keep information confidential

Requirements:

• BS/MS in Computer Science or equivalent from a premier institute.
• 10+ years of strong design/development experience in building massively large scale distributed internet systems and products.
• 6+ years' experience leading engineering teams (including a combination of experience hiring, mentoring, managing performance, and providing technical leadership and design guidance).
• Excellent computer fundamentals and problem solving skills
• Excellent data structures & algorithms skills.
• Experience and knowledge of open source software, frameworks and broader cutting edge technologies around server side development in Java and Big Data.
• Superior organization, communication, interpersonal and leadership skills.
• Must be a proven performer and team player that enjoy challenging assignments in a high-energy, fast growing and start-up workplace.
• Must be a self-starter who can work well with minimal guidance and in fluid environment.
• Provide good attention to details.
• Must be excited by challenges surrounding the development of massively scalable & distributed system.
• Agility and ability to adapt quickly to changing requirements and scope and priorities.

Mandatory Skills 

• Good programming skills using C++ on windows

• Work exp in using Boost Library, Multi-threading, data Structures

• Good understanding of kernel level API's in Lwindows

• Scripting knowledge – Shel Scripting, Perl, Python 
Job Description

Proven C++ developer(Design Patterns, Multi-Threading, Data Structures, File Systems etc. ) on windows

• Hands-on experience in API design and development

• Good exposure to CMake based builds and PERL scripting

• Proven Object Oriented designer and implementer with strong understanding of software architecture leveraging UML and design patterns.

• Good understanding of Agile Scrum practices

• Excellent communication skills.

• Expertise in static and dynamic analysis

• Packaging/recompilation of RabbitMQ, buildpacks (basic knowledge on dockers)

• Work experience in CI / CD "

Product Manager

Compensation​ - ₹18.0L - ₹35.0L 
Experience​ - 5.0 - 7.0 Year(s) : Min 5 yrs of Solid Product management Experience
Location​ - Bangalore / Mumbai
Working days​ - 5
Qualification​ - B.Tech/B.E.
Requirements:

•  Candidates shall be working in a product/internet consumer firm and only B2B Product Firms (Not B2C)
•  Candidates shall be a full time MBA from a tier1 Institutes
•  Candidates shall have experience in Road-mapping, goal setting, managing project execution, A/B testing, UI/UX wire-framing, defining product roll-out strategy.

Responsibilities:

• Own delivery of product initiatives and releases Lead ideation, development, launch, testing, and iteration of new features Translate high-level conceptual product ideas into clearly defined product specifications.
•  Collaborate with design, engineering, marketing, and sales to drive the product development process
•  Define and execute the LEAD School product vision, priorities and roadmap
•  Collaborate with engineering to determine the best technical implementation of the product features by Using your skill on PRD, wireframe, mind map, trello and etc.
•  Use data and metrics to help inform roadmap and product decisions to help better acquire, convert and retain users
•  Define user stories and product requirements that both reflect and anticipate the needs of LEAD School broad user base Proactively engage with LEAD School users in user research and to identify market opportunities
•  Understand the competitive landscape and evaluate market trends to better inform product roadmap.

Skills and Qualifications:

•  3+ years’ experience in a product management role within a B2B software company Experienced being the product owner in agile product teams
•  Experience with A/B testing and using data to inform product decisions
•  Technical enough to work effectively with engineers to decide on different product paths Design-capable enough to work effectively with designers to decide on good platform UI/UX choices
•  Strong prototyping and wireframing skills using tools like Balsamiq, Moqups etc.
•  Experienced in managing product backlogs and priorities based on user research and collaborating with internal stakeholder
•  Effective decision maker and can help teams understand rationale and reasons for the product decisions and roadmap direction
•  Thrive in a fast-paced startup environment
•  Self-starter, independent and excellent at driving teams and projects
•  Excellent communication skills at all level’s small groups, large groups, and with executives