Project Manager

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.

Skills required

·      Certified in Google Analytics (any popular certifier)

·      A minimum of 4+ years of experience in the web analytics domain

·      Consolidated knowledge of the GA4 platform

·      Excellent communication skills (written & verbal)

·      Good understanding of Analytics, Tag Manager, and Data Studio.

·      Basic knowledge of BigQuery & JavaScript

·      Familiar with HTML, CSS and Javascript, and will have the ability to read, reuse and customise code

·      Advanced understanding of Events Tagging and Custom dimensions.

·      Hands-on experience with data visualization (custom dashboards)

Roles and Responsibilities

·      Responsible for managing our Analytics (G4) and GTM accounts

·      Implementation of highly effective web data analytic solutions

·      Visualize customer behavioral data such as page/path analysis, clickstream, funnel progression, CTA optimization, page/site abandonment, etc.

·      Implement tagging and configuration that ensures data collection is accurate and adequate based on the business needs

In-depth knowledge in the following areas.

·      Determine tracking requirements.

·      Create functional and technical design (Dom Scrapping & Custom HTML) of the tags.

·      Install GTM container tag on the live/staging websites.

·      Create, publish and test tags on the live/staging websites.

·      Able to track the successful form submission.

·      Do regular Tag audits for the live/staging websites.

·      Coordinate with the marketing heads to understand and develop custom reports and dashboards.

·      Create specified digital analytics tagging standards to ensure robust and consistent data capturing.

·      Testing and validating the tracking using various debugging tools.

Job Description

Phonologies is seeking a Senior Data Engineer to lead data engineering efforts for developing and deploying generative AI and large language models (LLMs). The ideal candidate will excel in building data pipelines, fine-tuning models, and optimizing infrastructure to support scalable AI systems for enterprise applications.

Role & Responsibilities

• Data Pipeline Management: Design and manage pipelines for AI model training, ensuring efficient data ingestion, storage, and transformation for real-time deployment.
• LLM Fine-Tuning & Model Lifecycle: Fine-tune LLMs on domain-specific data, and oversee the model lifecycle using tools like MLFlow and Weights & Biases.
• Scalable Infrastructure: Optimize infrastructure for large-scale data processing and real-time LLM performance, leveraging containerization and orchestration in hybrid/cloud environments.
• Data Management: Ensure data quality, security, and compliance, with workflows for handling sensitive and proprietary datasets.
• Continuous Improvement & MLOps: Apply MLOps/LLMOps practices for automation, versioning, and lifecycle management, while refining tools and processes for scalability and performance.
• Collaboration: Work with data scientists, engineers, and product teams to integrate AI solutions and communicate technical capabilities to business stakeholders.

Preferred Candidate Profile

• Experience: 5+ years in data engineering, focusing on AI/ML infrastructure, LLM fine-tuning, and deployment.
• Technical Skills: Advanced proficiency in Python, SQL, and distributed data tools.
• Model Management: Hands-on experience with MLFlow, Weights & Biases, and model lifecycle management.
• AI & NLP Expertise: Familiarity with LLMs (e.g., GPT, BERT) and NLP frameworks like Hugging Face Transformers.
• Cloud & Infrastructure: Strong skills with AWS, Azure, Google Cloud, Docker, and Kubernetes.
• MLOps/LLMOps: Expertise in versioning, CI/CD, and automating AI workflows.
• Collaboration & Communication: Proven ability to work with cross-functional teams and explain technical concepts to non-technical stakeholders.
• Education: Degree in Computer Science, Data Engineering, or related field.

Perks and Benefits

• Competitive Compensation: INR 20L to 30L per year.
• Innovative Work Environment for Personal Growth: Work with cutting-edge AI and data engineering tools in a collaborative setting, for continuous learning in data engineering and AI.

At Tecknotrove, candidates will get an opportunity to learn & work on the latest cutting-edge technologies to build simulation & VR-based applications & modules.

Selected intern's day-to-day responsibilities include:

1. Assist in developing and maintaining software applications

2. Write clean, efficient, and well-documented code

3. Collaborate with team members on various projects

4. Learn and apply best practices in software development

Only those candidates can apply who:

1. are available for full time (in-office) internship

2. are available for duration of 6 months

3. have relevant skills and interests

* Women wanting to start/restart their career can also apply.

Post completion of internship candidates will be presented with an opportunity to work full time on payroll of the company based on their internship evaluation.

Position Overview:

 As a Field Sales Executive in the Fintech Industry specializing in Payment Gateways, you will be responsible for driving the sales and business development efforts within the Business, Merchant, and Enterprise (BME) segment. You will play a critical role in expanding the market presence of our payment gateway solutions, building and maintaining relationships with clients, and achieving revenue targets.

·      Identify and prospect potential clients within the fintech industry, including startups, established companies, and financial institutions, to promote and sell our payment gateway solutions.

·      Develop and maintain strong relationships with key decision-makers, stakeholders, and partners to ensure a deep understanding of client needs and effectively position our payment gateway offerings.

·      Understand the unique requirements of each client and tailor payment gateway solutions to address their specific needs, showcasing the value and benefits of our services.

·      Maintain a deep understanding of our payment gateway products, features, and industry trends to effectively communicate their advantages to clients.

·      Meet and exceed individual and team sales targets, contributing to the overall revenue goals of the department.

·      Stay up-to-date with industry trends, market dynamics, and competitor activities to identify potential areas for business growth and maintain a competitive edge

·      Work closely with cross-functional teams including marketing, product development, and customer support to ensure seamless customer onboarding and exceptional post-sales support.

·      Effectively manage and update sales pipelines, activities, and progress using CRM tools.

·      Provide regular sales reports, forecasts, and insights to management, highlighting achievements and potential areas for improvement

·      Proactively seek opportunities for professional growth, staying current with industry advancements and sales techniques.

Qualifications:

• Bachelor's degree in Business, Marketing, Finance, or related field (or equivalent work experience).
• Proven track record of successful sales in the fintech, payment gateway, or related industry.
• Strong communication, negotiation, and interpersonal skills.
• Ability to understand complex technical concepts and effectively translate them to non-technical clients.
• Self-motivated, proactive, and able to work independently or as part of a team.
• Familiarity with CRM software and sales tools.
• Willingness to travel for client meetings and industry events as required.

Responsibilities

• Manual Testing + Test Automation
• Manual testing (Functional), Database testing
• Exposure in Selenium, Javascript, etc
• Exposure in Agile and DevOps 
• Excellent communication skills

• Review requirements, specifications and technical design documents to provide timely and meaningful feedback
• Create detailed, comprehensive and well-structured test plans and test cases
• Estimate, prioritize, plan and coordinate testing activities
• Design, develop and execute automation scripts using open source tools
• Identify, record, document thoroughly and track bugs
• Perform thorough regression testing when bugs are resolved
• Develop and apply testing processes for new and existing products to meet client needs
• Liaise with internal teams (e.g. developers and product managers) to identify system requirements
• Monitor debugging process results
• Investigate the causes of non-conforming software and train users to implement solutions
• Track quality assurance metrics, like defect densities and open defect counts

Stay up to date with new testing tools and test strategies

Requirements

• Proven work experience in software development
• Proven work experience in software quality assurance
• Strong knowledge of software QA methodologies, tools and processes
• Experience in writing clear, concise and comprehensive test plans and test cases
• Hands-on experience with both white box and black box testing
• Hands-on experience with automated testing tools
• Solid knowledge of SQL and scripting
• Experience working in an Agile/Scrum development process
• Experience with performance and/or security testing is a plus
• BS/MS degree in Computer Science, Engineering or a related subject
• Knowledge about API/Service Testing would be important