Power BI Developer

We are seeking a Technical cum Pre‑Sales Engineer who can effectively bridge technology and business, with a strong focus on driving sales growth. The role involves supporting the sales team through technical expertise, solution design, customer engagement, and on‑field activities such as events and customer meetings. Strong knowledge of Microsoft and AWS infrastructure is essential, and experience with AI and Security solutions adds significant weightage.

This is a hybrid role based in Chennai, offering a mix of on-site customer engagement and remote work flexibility.

Key Responsibilities

Pre‑Sales & Revenue Growth

• Work closely with the sales team to identify opportunities, qualify leads, and close deals
• Understand customer business requirements and recommend suitable cloud, infrastructure, AI, and security solutions
• Deliver technical presentations, product demos, proposals, and proof‑of‑concepts
• Assist in preparing technical inputs for RFPs, RFQs, and solution proposals
• Actively contribute to achieving and exceeding sales and revenue targets

Technical Responsibilities

• Design and propose solutions using Microsoft and AWS platforms
• Provide strong technical expertise on:
• Microsoft 365 & Exchange (Online / Hybrid)
• Active Directory, Azure AD / Entra ID
• Azure infrastructure and core services
• AWS compute, storage, networking, and security services
• Demonstrate practical understanding of AI services (Azure AI, AWS AI/ML services) and relevant business use cases
• Recommend and explain security solutions, including:
• Identity & access management
• Cloud security
• Email, endpoint, and data security
• Compliance and governance best practices

Travel, Events & Customer Engagement

• Travel will be required for:
• Customer meetings
• Industry events, expos, and roadshows
• Partner and networking events
• Represent the organization in customer engagements and technical discussions
• Build strong relationships with customers, partners, and internal teams

Location & Collaboration

• Preferred location: Chennai
• Open to candidates willing to relocate to Chennai
• Work closely with delivery, support, and operations teams to ensure smooth post‑sales handover

Required Skills & Qualifications

• Bachelor’s degree in Engineering, IT, Computer Science, or equivalent experience
• 3–6 years of experience in Pre‑Sales, Solution Consulting, or Technical Sales
• Strong hands‑on or conceptual understanding of:
• Microsoft Exchange & Active Directory
• Azure and AWS infrastructure
• Cloud networking and security fundamentals
• Ability to translate complex technical concepts into business‑friendly solutions
• Excellent communication, presentation, and stakeholder management skills
• Sales‑oriented mindset with the ability to support deal closures

Preferred / Added Advantage

• Experience with AI, automation, or modern cloud workloads
• Exposure to Microsoft Defender, Sentinel, AWS IAM, Security Hub
• Microsoft and/or AWS certifications (Azure Administrator, Solutions Architect, etc.)
• Experience working with System Integrators, MSPs, or Cloud Service Providers

Compensation & Benefits

• Fixed + Variable pay structure, with variable incentives linked directly to performance and sales contributions
• Growth‑oriented role with exposure to advanced cloud, AI, and security solutions
• Opportunity to work with enterprise and mid‑market customers
• Performance‑driven career progression

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:

We are seeking a Manager – Customer Success to lead and oversee the entire Customer Success department for our SMBG clients. This role involves managing a team of 3–4 Team Leaders, who in turn manage a large pool of Customer Success Executives. You will be responsible for driving end-to-end customer journey – from onboarding to product adoption, engagement, and retention – while building scalable processes suitable for a high-volume customer base.

Key Responsibilities

• Lead and mentor 3–4 Team Leaders and indirectly oversee a team of 30+ Customer Success Executives.
• Drive customer onboarding, adoption, retention, and satisfaction across SMBG clients.
• Develop and implement customer success strategies and playbooks tailored for high-volume SMB customers.
• Implement and scale tech-touch engagement models for effective customer coverage.
• Develop strategies to drive deep product adoption and showcase the value of MyOperator's solutions (Cloud IVR, Call Center Software, WhatsApp API, etc.).
• Monitor health metrics, churn signals, and client escalations; design proactive action plans.
• Collaborate with Product, Sales, and Support teams to ensure a seamless customer experience.
• Deliver regular business reviews and performance reports to leadership (CEO and senior stakeholders).
• Continuously optimize processes to enhance team productivity and customer outcomes.

Qualifications:

• 5–7 years of proven experience in Customer Success / Account Management within SaaS, Telecom, CPaaS, or Cloud Communication.
• Minimum 2+ years of direct experience leading Team Leaders / Managers.
• Strong exposure to managing high-volume SMB customer bases.
• Excellent strategic thinking, problem-solving, and analytical skills.
• Tech-savvy mindset with experience implementing automation or tech-touch models.
• Experience in reporting to senior leadership (CEO/VP-level) is highly desirable.
• Exceptional communication and stakeholder management skills.

Join us at MyOperator and be part of a dynamic team that is transforming the way businesses communicate. We offer competitive compensation, comprehensive benefits, and ample opportunities for growth and career advancement. Apply today and embark on an exciting journey with us!

Benefits:

• Career growth opportunities in a fast-growing SaaS company.
• A competitive salary and performance-based incentives.
• A dynamic, inclusive, and collaborative work environment.
• Significant opportunities for professional growth and career advancement.
• The chance to make a real impact on thousands of growing businesses in India.
• Comprehensive health and wellness benefits.

What you’ll do:

• Hire, train, and lead callers, admin, tech support, graphic designer, and sales support team

• Set daily targets, track performance, and run morning huddles

• Manage attendance, payroll, and day-to-day operations

• Report directly to the founder (based in Hyderabad right now)

You need:

• 3+ years managing a back-office or BPO team in India

• Proven experience hiring and scaling small teams

• Strong in both English and local hiring

• Good with Google Sheets, basic CRM, and WhatsApp groups

• Willing to work at night shifts from their place (Remote)

🌟 About EaseMyTrip

EaseMyTrip is a leading online travel platform dedicated to delivering exceptional travel experiences to millions of customers while empowering hotel partners with powerful technology solutions. We are rapidly scaling our products and looking for passionate professionals to join our journey.

📌 Job Summary

We are seeking a passionate and driven Product Manager with mandatory hands-on experience in Inventory systems, and UI/Platform product ownership. The ideal candidate will have a strong background in B2C travel or hospitality tech, and will be responsible for defining product strategy, driving execution, and collaborating closely with cross-functional teams to deliver impactful products.

🎯 Required Qualifications & Mandatory Skills

✅ 3–4 years of product management experience in travel tech, hospitality, OTA, marketplace, or related B2C products.

✅ Mandatory experience working on Inventory systems, including hotel inventory workflows and related processes.

✅ Mandatory experience with Extranet tools/platforms used by partners/hotels to manage content, availability, and settings.

✅ Mandatory experience owning Platform & UI features, including defining user-centric interfaces and platform components.

✅ Proven track record of defining product requirements and driving feature execution with cross-functional teams.

✅ Excellent analytical, communication, and stakeholder management skills.

✅ Experience working in Agile environments and using product analytics tools (data-driven decision making).

✨ Key Responsibilities

🔹 Define and execute product strategy and roadmap for hotel inventory, partner extranet tools, and platform UI features.

🔹 Conduct market and competitive analysis to identify strategic opportunities.

🔹 Translate business goals and user insights into clear product requirements and feature specifications.

🔹 Collaborate with UX/UI designers and engineering teams to deliver high-quality, user-centric solutions.

🔹 Prioritise product backlogs and manage the end-to-end product lifecycle from ideation to launch.

🔹 Leverage data and user feedback to track product performance and inform iterative improvements.

🔹 Engage and partner with internal stakeholders and hotel partners to gather feedback and ensure product alignment.

About the role

Media Planning Executives are responsible for analyzing data, thinking creatively and dreaming up innovative strategies to make sure marketing campaigns reach the right target audience in the most effective way possible. Armed with this critical analysis, media planning executives devise, propose, or recommend strategies for using certain media effectively to attract and retain customers, increase brand recognition, and maintain customer satisfaction and loyalty.

Some of the things we’d like you to do:


● Creation of tactical plan presentation and supporting media plan templates
● Creation of campaign analysis plan 
● Oversee the successful launch of campaigns 
● Maintain accuracy and timely updates of deliverable tracking documents for team
● Collate commentary on media performance and conduct first review on quality
● Adherence to team quality standard for reporting template and delivery
● Keep consistent track of campaign performance and target (monthly) across all channels, flagging needs for intervention
● Use understanding of campaign and marketplace to contribute ideas for campaign experiments and also prioritize experiments
● Manage accurate forecasts, media plans, and all key media planning documentation

A bit about yourself:

● At least 2-3 years of experience in Tradional media advertising
● Working knowledge and effective vocabulary across Offline & Online 
● Experience with Media Research Tools (Comscore, GWI, TGI)
● Strong organizational skills with a keen ability to prioritize and multitask.
● Proven problem solving skills and ability to think outside of the box
● Ability to work independently and collaborate in a team environment
● Detail oriented and responsive, deadline-driven with strong reasoning skills

Profile Name: Client Service Executive

Experience: 1 year+ (relevant experience)

Working Hours: 7 PM- 4 AM ||Mon-Fri||

Working Location: Alkapuri, Vadodara

Key Responsibilities:

•Building excellent relationships with business partners such as internal Recruiting and Business development teams.

•Liaison between MSP/Clients and internal teams. Assist MSP managers in acquiring great talent and ensuring that Client hiring objectives are achieved.

•Communicating job requirements, changes, and compliance onboarding requirements promptly to internal teams.

•Building a solid relationship as the company's sole point of contact for both internal customers and external partners.

About Turing:

Turing enables U.S. companies to hire the world’s best remote software engineers. 100+ companies including those backed by Sequoia, Andreessen, Google Ventures, Benchmark, Founders Fund, Kleiner, Lightspeed, and Bessemer have hired Turing engineers. For more than 180,000 engineers across 140 countries, we are the preferred platform for finding remote U.S. software engineering roles. We offer a wide range of full-time remote opportunities for full-stack, backend, frontend, DevOps, mobile, and AI/ML engineers.

We are growing fast (our revenue 15x’d in the past 12 months and is accelerating), and we have raised $14M in seed funding (https://tcrn.ch/3lNKbM9">one of the largest in Silicon Valley) from:

• Facebook’s 1st CTO and Quora’s Co-Founder (Adam D’Angelo)
• Executives from Google, Facebook, Square, Amazon, and Twitter
• Foundation Capital (investors in Uber, Netflix, Chegg, Lending Club, etc.)
• Cyan Banister
• Founder of Upwork (Beerud Sheth)

We also raised a much larger round of funding in October 2020 that we will be publicly announcing over the coming month. 

Some articles about Turing:

• https://techcrunch.com/2020/08/25/turing-raises-14m-to-help-source-vet-place-and-manage-remote-developers-in-tech-jobs/">TechCrunch: Turing raises $14M seed to help source, vet, place, and manage remote developers
• https://www.theinformation.com/articles/six-startups-prospering-during-coronavirus">The Information: Six Startups Prospering During Coronavirus
• https://medium.com/@cyanbanister/turing-helps-the-world-level-up-ff44b4e6415d">Cyan Banister: Turing Helps the World Level Up
• https://turing.com/boundarylessblog/2019/10/the-future-of-work-is-remote/the-future-of-work/">Jonathan Siddharth (Turing CEO): The Future of Work is Remote.

Turing is led by successful repeat founders Jonathan Siddharth and Vijay Krishnan, whose last A.I. company leveraged elite remote talent and had a successful acquisition. (https://techcrunch.com/2017/02/23/revcontent-acquires-rover/">Techcrunch story). Turing’s leadership team is composed of ex-Engineering and Sales leadership from Facebook, Google, Uber, and Capgemini.

About the role:

Software developers from all over the world have taken 200,000+ tests and interviews on Turing. Turing has also recommended thousands of developers to its customers and got customer feedback in terms of customer interview pass/fail data and data from the success of the collaboration with a U.S customer. This generates a massive proprietary dataset with a rich feature set comprising resume and test/interview features and labels in the form of actual customer feedback. Continuing rapid growth in our business creates an ever-increasing data advantage for us. 

We are looking for a Machine Learning Scientist who can help solve a whole range of exciting and valuable machine learning problems at Turing. Turing collects a lot of valuable heterogeneous signals about software developers including their resume, GitHub profile and associated code and a lot of fine-grained signals from Turing’s own screening tests and interviews (that span various areas including Computer Science fundamentals, project ownership and collaboration, communication skills, proactivity and tech stack skills), their history of successful collaboration with different companies on Turing, etc. 

A machine learning scientist at Turing will help create deep developer profiles that are a good representation of a developer’s strengths and weaknesses as it relates to their probability of getting successfully matched to one of Turing’s partner companies and having a fruitful long-term collaboration. The ML scientist will build models that are able to rank developers for different jobs based on their probability of success at the job. 

     
 You will also help make Turing’s tests more efficient by assessing their ability to predict the probability of a successful match of a developer with at least one company. The prior probability of a registered developer getting matched with a customer is about 1%. We want our tests to adaptively reduce perplexity as steeply as possible and move this probability estimate rapidly toward either 0% or 100%; maximize expected information-gain per unit time in other words. 

As an ML Scientist on the team, you will have a unique opportunity to make an impact by advancing ML models and systems, as well as uncovering new opportunities to apply machine learning concepts to Turing product(s).

This role will directly report to Turing’s founder and CTO, https://www.linkedin.com/in/vijay0/">Vijay Krishnan. This is his https://scholar.google.com/citations?user=uCRc7DgAAAAJ&;hl=en">Google Scholar profile. 

Responsibilities:

• Enhance our existing machine learning systems using your core coding skills and ML knowledge.
• Take end to end ownership of machine learning systems - from data pipelines, feature engineering, candidate extraction, model training, as well as integration into our production systems.
• Utilize state-of-the-art ML modeling techniques to predict user interactions and the direct impact on the company’s top-line metrics.
• Design features and builds large scale recommendation systems to improve targeting and engagement.
• Identify new opportunities to apply machine learning to different parts of our product(s) to drive value for our customers.

Minimum Requirements:

• BS, MS, or Ph.D. in Computer Science or a relevant technical field (AI/ML preferred).
• Extensive experience building scalable machine learning systems and data-driven products working with cross-functional teams
• Expertise in machine learning fundamentals, applicable to search - Learning to Rank, Deep Learning, Tree-Based Models, Recommendation Systems, Relevance and Data mining, understanding of NLP approaches like W2V or Bert.
• 2+ years of experience applying machine learning methods in settings like recommender systems, search, user modeling, graph representation learning, natural language processing.
• Strong understanding of neural network/deep learning, feature engineering, feature selection, optimization algorithms. Proven ability to dig deep into practical problems and choose the right ML method to solve them.
• Strong programming skills in Python and fluency in data manipulation (SQL, Spark, Pandas) and machine learning (scikit-learn, XGBoost, Keras/Tensorflow) tools.
• Good understanding of mathematical foundations of machine learning algorithms.
• Ability to be available for meetings and communication during Turing's "coordination hours" (Mon - Fri: 8 am to 12 pm PST).

Other Nice-to-have Requirements:

• First author publications in ICML, ICLR, NeurIPS, KDD, SIGIR, and related conferences/journals. 
• Strong performance in Kaggle competitions.
• 5+ years of industry experience or a Ph.D. with 3+ years of industry experience in applied machine learning in similar problems e.g. ranking, recommendation, ads, etc.
• Strong communication skills.
• Experienced in leading large-scale multi-engineering projects.
• Flexible, and a positive team player with outstanding interpersonal skills.