Marketing Executive

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).

We are seeking a Full-stack Developer to help build the next generation of StepOut's web and mobile platforms. In this role, you will design, develop, and optimize applications that deliver performance insights to athletes and coaches worldwide. You'll work in a fast-paced, collaborative environment where ownership, agility, and creativity are keys.

Responsibilities:

• Build and maintain scalable frontend applications using React (JS and native preferred).
• Develop backend services and APIs using Python (Django/Flask preferred).
• Design and manage databases (MongoDB + MySQL).
• Own features end-to-end from planning to deployment.
• Write clean, modular, and production-grade code.
• Debug issues deeply and implement long-term fixes (not patches).
• Collaborate with cross-functional teams (design, product, analytics).
• Contribute to system design, scalability, and performance improvements as a team player.

Requirements:

• Strong experience with React (React JS + React Native preferred).
• Strong experience with Python (Django/Flask preferred).
• Working knowledge of MongoDB and MySQL.
• Ability to build and consume REST APIs.
• Strong problem-solving and debugging ability.
• Genuine interest in football/sports (critical for culture fit).

Bonus Skills (Good to Have):

• Familiarity with cloud platforms (AWS, GCP, or Azure).
• Experience with Docker and containerization.
• Prior exposure to sports-tech, analytics, or performance platforms.

DataHavn IT Solutions is a company that specializes in big data and cloud computing, artificial intelligence and machine learning, application development, and consulting services. We want to be in the frontrunner into anything to do with data and we have the required expertise to transform customer businesses by making right use of data.

About the Role:

As a Data Scientist specializing in Google Cloud, you will play a pivotal role in driving data-driven decision-making and innovation within our organization. You will leverage the power of Google Cloud's robust data analytics and machine learning tools to extract valuable insights from large datasets, develop predictive models, and optimize business processes.

Key Responsibilities:

• Data Ingestion and Preparation:
• Design and implement efficient data pipelines for ingesting, cleaning, and transforming data from various sources (e.g., databases, APIs, cloud storage) into Google Cloud Platform (GCP) data warehouses (BigQuery) or data lakes (Dataflow).
• Perform data quality assessments, handle missing values, and address inconsistencies to ensure data integrity.
• Exploratory Data Analysis (EDA):
• Conduct in-depth EDA to uncover patterns, trends, and anomalies within the data.
• Utilize visualization techniques (e.g., Tableau, Looker) to communicate findings effectively.
• Feature Engineering:
• Create relevant features from raw data to enhance model performance and interpretability.
• Explore techniques like feature selection, normalization, and dimensionality reduction.
• Model Development and Training:
• Develop and train predictive models using machine learning algorithms (e.g., linear regression, logistic regression, decision trees, random forests, neural networks) on GCP platforms like Vertex AI.
• Evaluate model performance using appropriate metrics and iterate on the modeling process.
• Model Deployment and Monitoring:
• Deploy trained models into production environments using GCP's ML tools and infrastructure.
• Monitor model performance over time, identify drift, and retrain models as needed.
• Collaboration and Communication:
• Work closely with data engineers, analysts, and business stakeholders to understand their requirements and translate them into data-driven solutions.
• Communicate findings and insights in a clear and concise manner, using visualizations and storytelling techniques.

Required Skills and Qualifications:

• Strong proficiency in Python or R programming languages.
• Experience with Google Cloud Platform (GCP) services such as BigQuery, Dataflow, Cloud Dataproc, and Vertex AI.
• Familiarity with machine learning algorithms and techniques.
• Knowledge of data visualization tools (e.g., Tableau, Looker).
• Excellent problem-solving and analytical skills.
• Ability to work independently and as part of a team.
• Strong communication and interpersonal skills.

Preferred Qualifications:

• Experience with cloud-native data technologies (e.g., Apache Spark, Kubernetes).
• Knowledge of distributed systems and scalable data architectures.
• Experience with natural language processing (NLP) or computer vision applications.
• Certifications in Google Cloud Platform or relevant machine learning frameworks.

About the Job

This is a full-time role for a Lead DevOps Engineer at Spark Eighteen. We are seeking an experienced DevOps professional to lead our infrastructure strategy, design resilient systems, and drive continuous improvement in our deployment processes. In this role, you will architect scalable solutions, mentor junior engineers, and ensure the highest standards of reliability and security across our cloud infrastructure. The job location is flexible with preference for the Delhi NCR region.

Responsibilities

• Lead and mentor the DevOps/SRE team
• Define and drive DevOps strategy and roadmaps
• Oversee infrastructure automation and CI/CD at scale
• Collaborate with architects, developers, and QA teams to integrate DevOps practices
• Ensure security, compliance, and high availability of platforms
• Own incident response, postmortems, and root cause analysis
• Budgeting, team hiring, and performance evaluation

Requirements

Technical Skills

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 7+ years of professional DevOps experience with demonstrated progression.
• Strong architecture and leadership background
• Deep hands-on knowledge of infrastructure as code, CI/CD, and cloud
• Proven experience with monitoring, security, and governance
• Effective stakeholder and project management
• Experience with tools like Jenkins, ArgoCD, Terraform, Vault, ELK, etc.
• Strong understanding of business continuity and disaster recovery

Soft Skills

• Cross-functional communication excellence with ability to lead technical discussions.
• Strong mentorship capabilities for junior and mid-level team members.
• Advanced strategic thinking and ability to propose innovative solutions.
• Excellent knowledge transfer skills through documentation and training.
• Ability to understand and align technical solutions with broader business strategy.
• Proactive problem-solving approach with focus on continuous improvement.
• Strong leadership skills in guiding team performance and technical direction.
• Effective collaboration across development, QA, and business teams.
• Ability to make complex technical decisions with minimal supervision.
• Strategic approach to risk management and mitigation.

What We Offer

• Professional Growth: Continuous learning opportunities through diverse projects and mentorship from experienced leaders
• Global Exposure: Work with clients from 20+ countries, gaining insights into different markets and business cultures
• Impactful Work: Contribute to projects that make a real difference, with solutions generating over $1B in revenue
• Work-Life Balance: Flexible arrangements that respect personal wellbeing while fostering productivity
• Career Advancement: Clear progression pathways as you develop skills within our growing organization
• Competitive Compensation: Attractive salary packages that recognize your contributions and expertise

Our Culture

At Spark Eighteen, our culture centers on innovation, excellence, and growth. We believe in:

• Quality-First: Delivering excellence rather than just quick solutions
• True Partnership: Building relationships based on trust and mutual respect
• Communication: Prioritizing clear, effective communication across teams
• Innovation: Encouraging curiosity and creative approaches to problem-solving
• Continuous Learning: Supporting professional development at all levels
• Collaboration: Combining diverse perspectives to achieve shared goals
• Impact: Measuring success by the value we create for clients and users

Apply Here - https://tinyurl.com/t6x23p9b

We’re Hiring: Relationship Manager – Retail Sales 🌟

📍 Locations: Mumbai | Ahmedabad | Aurangabad

🕒 Mon–Sat | ⏰ 10 AM – 6:30 PM

🎓 Qualification: Graduate | 💼 Exp: 1–5 yrs

🔹 Key Responsibilities:

✨ Drive client acquisition & achieve GWP sales targets

🤝 Manage & grow a network of 40–45 insurance agents

📊 Provide accurate quotations & close policy sales

🎯 Ensure 100% monthly GWP target achievement

💬 Build & maintain strong client & agent relationships

📋 Prepare daily/weekly MIS & ensure process compliance

💡 Skills Required:

📚 Insurance product knowledge

🗣️ Excellent communication & relationship management

⚡ Leadership & business acumen

🎁 Benefits:

💰 Competitive salary & incentives

🎓 Training & professional growth opportunities

🩺 Insurance coverage (GTL)

🤝 Supportive, growth-oriented work culture

Job Description: We are looking for highly motivated Systems Engineers/Systems Administrators. The position requires strong technical and communication skills.

As a Systems Engineer, you will be working on the latest products like Windows 11, Windows Server 2022, Microsoft 365, Microsoft Fabric, Azure Databricks, Azure Networking, Hyper V, Spark, SQL Server 2022, Chrome OS, Data Warehousing etc.

Responsibilities:

• Deploying, automating, maintaining AWS / Azure-based cloud services

• Evaluate new technology options and vendor products

• Develop and maintain custom SharePoint Online pages

• Complete certifications and training on the latest technologies

• Perform SharePoint Online administrative functions

• Develop and maintain PowerShell scripts for regular task automation

• Monitorsystems, networks, and functions

• Identify and document common recovery procedures forservice impacting incidents

• Establish and follow a ROB (Rhythm of Business) to ensure that all break/fix issues are resolved promptly or escalated to the appropriate group

• Develop, communicate and drive Service Improvement Plansto maintain an environment of continuous improvement with a focus on rapid growth, world-class quality, and cost-efficacy

• Drive operational aspects of incident management, ensuring SLAs for time, quality, and customer satisfaction are met for our global infrastructure

• Manage customer interaction with the utmost professionalism, courtesy, and responsiveness

• Responsible for monitoring, data collection, and configuration management, as well as disaster recovery planning, capacity engineering, reliability improvement initiatives, and platform automation

Candidate Profile:

• B.E./ B. Tech. in Computer Science /Information Technology or MCA from a reputed university with a minimum 60% aggregate throughout their education

Skills and Abilities:

• Excellent communication skills (spoken and written English)

• Ability to work in rotationalshifts

• High-level technical troubleshooting ability

• Customer orientation

• Ability to multitask and work 6 days a week (54 hours per week at aminimum)

• Excellent problem resolution, judgment, and decision-making skills

• Knowledge about Azure and AWS services

• Knowledge of SQL and Spark query

• Knowledge of Data Visualization toolslike Power BI, Microsoft Fabric

• Knowledge of Power Apps, Microsoft Teams, Microsoft Power Automate

• Inclined towardslearning scripting languages like JavaScript, Node .js, Java, Python.

Experience: 1-3 years of proven work experience as a Technical Support Engineer

Location: Noida / Mumbai / Hyderabad

About us:

HappyFox is a software-as-a-service (SaaS) support platform. We offer an enterprise-grade help desk ticketing system and intuitively designed live chat software.

We serve over 12,000 companies in 70+ countries. HappyFox is used by companies that span across education, media, e-commerce, retail, information technology, manufacturing, non-profit, government and many other verticals that have an internal or external support function.

To know more, Visit! - https://www.happyfox.com/

Responsibilities

• Build and scale production infrastructure in AWS for the HappyFox platform and its products.
• Research, Build/Implement systems, services and tooling to improve uptime, reliability and maintainability of our backend infrastructure. And to meet our internal SLOs and customer-facing SLAs.
• Implement consistent observability, deployment and IaC setups
• Lead incident management and actively respond to escalations/incidents in the production environment from customers and the support team.
• Hire/Mentor other Infrastructure engineers and review their work to continuously ship improvements to production infrastructure and its tooling.
• Build and manage development infrastructure, and CI/CD pipelines for our teams to ship & test code faster.
• Lead infrastructure security audits

Requirements

• At least 7 years of experience in handling/building Production environments in AWS.
• At least 3 years of programming experience in building API/backend services for customer-facing applications in production.
• Proficient in managing/patching servers with Unix-based operating systems like Ubuntu Linux.
• Proficient in writing automation scripts or building infrastructure tools using Python/Ruby/Bash/Golang
• Experience in deploying and managing production Python/NodeJS/Golang applications to AWS EC2, ECS or EKS.
• Experience in security hardening of infrastructure, systems and services.
• Proficient in containerised environments such as Docker, Docker Compose, Kubernetes
• Experience in setting up and managing test/staging environments, and CI/CD pipelines.
• Experience in IaC tools such as Terraform or AWS CDK
• Exposure/Experience in setting up or managing Cloudflare, Qualys and other related tools
• Passion for making systems reliable, maintainable, scalable and secure.
• Excellent verbal and written communication skills to address, escalate and express technical ideas clearly
• Bonus points – Hands-on experience with Nginx, Postgres, Postfix, Redis or Mongo systems.

Role Value: By developing highly performant, robust and scalable web services and back-ends, you will have an impact on the latency and accuracy. You will add value to our organization by mentoring and guiding engineers. By spotting opportunities in new technologies and identifying areas where they could be leveraged, you will have a deep impact on our tech stack and the way it benefits the business.

Role: You will work with stakeholders to identify the business problem, and then develop layered architectures that can be delivered in an incremental fashion. You will demonstrate a combination of technical leadership and business acumen by making appropriate trade-offs of technical integrity, complexity, time to market and cost. You are a stellar engineer and will write production quality code 70-80% of the time.

Responsibilities

• Design and implement features spanning across systems in a manner that satisfies requirements of performance, scale, security and robustness
• Contribute to improvement of technology and execution processes in the company
• Collaborate in setting technology standards with technology leaders across the company
• Serve as a knowledge centre on current and emerging technologies, and help train others when required
• Foster a strong technical culture by mentoring other engineers
• Keep up to date with the latest technologies, evaluate new tools
• Should open to work on Golang.

Relevant Experience and Qualifications

• Demonstrated expertise in system-level design of large scale distributed systems on OOPs, and experience with web services and service oriented architectures
• Have 7 - 13 years of professional experience in software development.
• Extensive experience with modern open source systems including relational / non relational data stores.
• Experience with AWS stack, at least the common datastores and services
• Experience with containerization technologies and concepts including Docker
• Basic knowledge about security concepts and secure coding
• Excellent analytical, conceptual and communication skills in spoken and written English.

Progression

• At Devtron Labs you have the opportunity to work in a collaborative and trusting environment allowing you to turn your ideas into reality
• be part of a strong team, where everyone’s opinion matters
• have flexible working hours, and learning & development opportunities
• We trust on you because we are having fully remote work culture
• work in a meritocracy, where you grow professionally by excelling at work

Equal Opportunities: Devtron Labs is, and always will be, committed to diversity and inclusion. We seek Devtronians from all backgrounds to join our teams and encourage everyone to bring their authentic, original and best selves to work.