Business Development Executive

Are you passionate about building strong partnerships and driving revenue growth in a dynamic, high-growth SaaS environment? MyOperator, India's leading cloud communication platform, is expanding its reach, and we're looking for a driven individual to lead our channel sales efforts.

MyOperator empowers over 12,000 businesses globally with seamless cloud telephony and WhatsApp solutions, including IVR, call management, virtual numbers, and robust CRM integrations. We are ranked #1 in India's Call + WhatsApp Matrix, helping businesses streamline communication, boost sales, and enhance customer experience. Join our ambitious team and play a pivotal role in our continued success!

We are seeking a highly motivated and experienced Channel Sales Manager to lead our entire channel sales cycle, from identifying potential partners to driving recurring revenue. This crucial role will be instrumental in expanding our market reach and achieving ambitious growth targets.

Responsibilities

• Lead the full channel sales cycle, from partner identification to driving recurring revenue.
• Recruit, onboard, and activate new channel partners across diverse regions and industries.
• Build and nurture strong partner relationships through structured business planning, consistent engagement, and ongoing support.
• Conduct product training and sales enablement sessions to empower partners with essential knowledge and tools.
• 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 and partner success.
• Ensure adherence to commercial policies, compliance norms, and revenue-sharing structures.
• Own and achieve revenue targets for specific partner regions or verticals.

Requirements

• Educational Qualification: Bachelor's degree in Business, Marketing, or a related field. MBA is a plus.
• Work Experience: 3-5 years in channel sales, partnerships, or B2B sales, preferably within SaaS, Telecom, or Cloud Communication domains.
• Partner Management: Proven experience in onboarding, managing, and growing revenue through channel partners or resellers.
• Sales Acumen: Strong understanding of the sales cycle, indirect sales models, and partner revenue contribution metrics.
• Communication Skills: Excellent verbal and written communication for effective engagement with partners and internal teams.
• Training & Enablement: Ability to conduct partner training sessions and provide regular product/sales updates.
• Analytical Skills: Proficient in using CRM tools and analyzing partner performance reports.
• Process Orientation: Strong discipline in follow-up, reporting, and documentation to manage multiple partner accounts.
• Self-Motivation: Highly driven with a proactive approach and ownership mindset; capable of working with minimal supervision.
• Willingness to Travel: Ready for occasional travel for partner meetings, onboarding, or events (if applicable).

Benefits

• Performance-Based Incentives: Attractive variable pay structure tied to 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.

Roles and Responsibilities:

● Create thumb-stopping Reels, Instagram Stories, and short-form videos for various social media platforms.

● Plan, shoot, and edit high-quality promotional and brand videos that bring our brand to life with flair and creativity.

● Develop and maintain a content calendar aligned with campaigns, launches, and trending moments.

● Collaborate with the marketing and design teams to roll out content that aligns with brand strategy and visual identity.

● Stay ahead of the curve on social media trends, evolving formats, and viral-worthy content ideas.

● Craft captivating copy for social media captions, video hooks, and campaign taglines that spark engagement.

● Play an active role in influencer marketing – whether that’s partnering with creators or being the influencer yourself!

● Represent the brand as a social media influencer with on-screen presence, charm, and authenticity.

● Pitch bold, quirky, scroll-breaking content concepts every week – and make them happen!

WHAT WILL YOU NEED TO SUCCEED?

● A creative mind that sees magic in the mundane.

● A portfolio of past work (even personal IG/ Linkedin content counts!)

● Passion for storytelling, aesthetics, and digital media.

● Comfort in front of or behind the camera (we love dual threats!)

● Familiarity with tools like Canva, CapCut, InShot, Adobe Rush, or anything else that gets your creativity flowing.

● Strong understanding of LinkedIn, Instagram, YouTube Shorts, and content performance i

Proficient in Golang, Python, Java, C++, or Ruby (at least one)

Strong grasp of system design, data structures, and algorithms

Experience with RESTful APIs, relational and NoSQL databases

Proven ability to mentor developers and drive quality delivery

Track record of building high-performance, scalable systems

Excellent communication and problem-solving skills

Experience in consulting or contractor roles is a plus

Data Scientist

Job Title: Data Scientist – Data and Artificial Intelligence

Location: Hyderabad

Job Type: Full-time

Company Description:

Qylis is a leading provider of innovative IT solutions, specializing in Cloud, Data & AI, 

and Cyber Security. We help businesses unlock the full potential of these technologies 

to achieve their goals and gain a competitive edge. Our unique approach focuses on 

delivering value through bespoke solutions tailored to customer specific needs. We are 

driven by a customer-centric mindset and committed to delivering continuous value 

through intellectual property accelerators and automation. Our team of experts is 

passionate about technology and dedicated to making a positive impact. We foster an 

environment of growth and innovation, constantly pushing the boundaries to deliver 

exceptional results. Website: www.qylis.com, LinkedIn: 

www.linkedin.com/company/qylis

Job Summary

We are an engineering organization collaborating directly with clients to address 

challenges using the latest technologies. Our focus is on joint code development with 

clients' engineers for cloud-based solutions, accelerating organizational progress. 

Working with product teams, partners, and open-source communities, we contribute to 

open source, striving for platform improvement. This role involves creating impactful 

solution patterns and open-source assets. As a team member, you'll collaborate with 

engineers from both teams, applying your skills and creativity to solve complex 

challenges and contribute to open source, while fostering professional growth.

Responsibilities

• Researching and developing production-grade models (forecasting, anomaly 

detection, optimization, clustering, etc.) for global cloud business by using 

statistical and machine learning techniques.

• Manage large volumes of data, and create new and improved solutions for data 

collection, management, analyses, and data science model development.

• Drive the onboarding of new data and the refinement of existing data sources 

through feature engineering and feature selection.

• Apply statistical concepts and cutting-edge machine learning techniques to 

analyze cloud demand and optimize data science model code for distributed 

computing platforms and task automation.

• Work closely with other data scientists and data engineers to deploy models that 

drive cloud infrastructure capacity planning.

• Present analytical findings and business insights to project managers, 

stakeholders, and senior leadership and keep abreast of new statistical / 

machine learning techniques and implement them as appropriate to improve 

predictive performance.

• Oversees the analysis of data and leads the team in identifying trends, patterns, 

correlations, and insights to develop new forecasting models and improve 

existing models.

• Leads collaboration among team and leverages data to identify pockets of 

opportunity to apply state-of-the-art algorithms to improve a solution to a 

business problem.

• Consistently leverages knowledge of techniques to optimize analysis using 

algorithms.

• Modifies statistical analysis tools for evaluating Machine Learning models. 

Solves deep and challenging problems for circumstances such as when model 

predictions are not correct, when models do not match the training data or the 

design outcomes when the data is not clean when it is unclear which analyses to 

run, and when the process is ambiguous.

• Provides coaching to team members on business context, interpretation, and the 

implications of findings. Interprets findings and their implications for multiple 

businesses, and champions methodological rigour by calling attention to the 

limitations of knowledge wherever biases in data, methods, and analysis exist.

• Generates and leverages insights that inform future studies and reframe the 

research agenda. Informs both current business decisions by implementing and 

adapting supply-chain strategies through complex business intelligence.

Qualifications

• M.Sc. in Statistics, Applied Mathematics, Applied Economics, Computer 

Science or Engineering, Data Science, Operations Research or similar applied 

quantitative field

• 7+ years of industry experience in developing production-grade statistical and 

machine learning code in a collaborative team environment.

• Prior experience in machine learning using R or Python (scikit / numpy / pandas / 

statsmodel).

• Prior experience working on Computer Vision Project is an Add on 

• Knowledge on AWS and Azure Cloud.

• Prior experience in time series forecasting.

• Prior experience with typical data management systems and tools such as SQL.

• Knowledge and ability to work within a large-scale computing or big data context, 

and hands-on experience with Hadoop, Spark, DataBricks or similar.

• Excellent analytical skills; ability to understand business needs and translate 

them into technical solutions, including analysis specifications and models.

• Experience in machine learning using R or Python (scikit / numpy / pandas / 

statsmodel) with skill level at or near fluency.

• Experience with deep learning models (e.g., tensorflow, PyTorch, CNTK) and solid 

knowledge of theory and practice.

• Practical and professional experience contributing to and maintaining a large 

code base with code versioning systems such as Git.

• Creative thinking skills with emphasis on developing innovative methods to solve 

hard problems under ambiguity.

• Good interpersonal and communication (verbal and written) skills, including the 

ability to write concise and accurate technical documentation and communicate 

technical ideas to non-technical audiences.

• Analyze, plan and develop requirements and standards in reference to the product pipeline.
• Create and manage the product plan for new tech integrations with the third-party vendors.
• Manage the current integrations with the third-party vendors for ongoing changes & requirements.
• Determine and define clear deliverables for the team members. Assign and oversee the daily tasks of technical personnel while ensuring the team is actively working toward established product milestones.
• Hold daily scrum team meetings to determine progress and address any questions or challenges regarding projects
• Establish and implement training processes and strategies for all technical personnel
• Ensure high test coverage and low post release issues through effective product planning.
• Prepare progress reports for senior management.

Qualifications

• Master's degree in Project Management or related technical field required
• Demonstrated understanding of Project Management processes, strategies and methods
• Experience mentoring, coaching and developing rising talent in the technology department
• Excellent time management and organizational skills and experience establishing guidelines in these areas for others
• Strong sense of personal accountability regarding decision-making and supervising department teams
• Experience working in a high-level collaborative environment and promoting a teamwork mentality
• Managerial experience applying analytical thinking and problem-solving skills
• Ability to predict challenges and seek to proactively head-off obstacle

About us

Skit (previously known as http://vernacular.ai/" target="_blank">Vernacular.ai) is an AI-first SaaS voice automation company. Its suite of speech and language solutions enable enterprises to automate their contact centre operations. With over 10 million hours of training data, its product - Vernacular Intelligent Voice Assistant (VIVA) can currently respond in 16+ languages, covering over 160+ dialects and replicating human-like conversations.

Skit currently serves a variety of enterprise clients across diverse sectors such as BFSI, F&B, Hospitality, Consumer Electronics and Travel & Tourism, including prominent clients like Axis Bank, Hathway, Porter and Barbeque Nation. It has been featured as one of the top-notch start-ups in the Cisco Launchpad’s Cohort 6 and is a part of the World Economic Forum’s Global Innovators Community. It has has also been listed in Forbes 30 Under 30 Asia start-ups 2021 for its remarkable industry innovation.

We are looking for ML Research Engineers to work on the following problems:

• Spoken Language Understanding and Dialog Management.
• Language semantics, parsing, and modeling across multiple languages.
• Speech Recognition, Speech Analytics and Voice Processing across multiple languages.
• Response Generation and Speech Synthesis.
• Active Learning, Monitoring and Observability mechanisms for deployments.

Responsibilities

• Design, build and evaluate Machine Learning solutions.
• Perform experiments and statistical analyses to draw conclusions and take modeling decisions.
• Study, implement and extend state of the art systems.
• Take part in regular research reviews and discussions.
• Build, maintain and extend our open source solutions in the domain.
• Write well-crafted programs at all levels of the system. This includes the data pipelines, experiment prototypes, fast and scalable deployment models, and evaluation, visualization and monitoring systems.

Requirements

• Practical Machine Learning experience as demonstrated by earlier works.
• Knowledge of and ability to use tools from theoretical and practical aspects of computer science. This includes, but is not limited to, probability, statistics, learning theory, algorithms, software architecture, programming languages, etc.
• Good programming skills and ability to work with programs at all levels of a finished Machine Learning product. We prefer language agnosticism since that exemplifies this point.
• Git portfolios and blogs are helpful as they let us better evaluate your work.

• What information we collect during our application and recruitment process and why we collect it;
• How we use that information; and
• How to access and update that information.

• Your name, address, email address, telephone number and other contact information;
• Your resume or CV, cover letter, previous and/or relevant work experience or other experience, education, transcripts, or other information you provide to us in support of an application and/or the application and recruitment process;
• Information from interviews and phone-screenings you may have, if any;
• Details of the type of employment you are or may be looking for, current and/or desired salary and other terms relating to compensation and benefits packages, willingness to relocate, or other job preferences;
• Details of how you heard about the position you are applying for;
• Reference information and/or information received from background checks (where applicable), including information provided by third parties;
• Information about your educational and professional background from publicly available sources, including online, that we believe is relevant to your application or a potential future application (e.g. your LinkedIn profile); and/or
• Information related to any assessment you may take as part of the interview screening process.

• Assessing your skills, qualifications and interests against our career opportunities;
• Verifying your information and carrying out reference checks and/or conducting background checks (where applicable) if you are offered a job;
• Communications with you about the recruitment process and/or your application(s), including, in appropriate cases, informing you of other potential career opportunities at Skit;
• Creating and/or submitting reports as required under any local laws and/or regulations, where applicable;
• Making improvements to Skit's application and/or recruitment process including improving diversity in recruitment practices;
• Proactively conducting research about your educational and professional background and skills and contacting you if we think you would be suitable for a role with us.

• You will work with Account Managers and clients to troubleshoot the challenges they face on a day-to-day basis. This could be anything from solving small CMS hiccups to recommending a better workflow, leveraging HubL for a better solution, to executing great parts of HubSpot CRM implementations.
• You will work closely with the tech and marketing delivery teams to architect and implement HubSpot setup and workflows so you can achieve client goals in the most efficient manner.
• You will support and eventually lead HubSpot onboarding for company clients.
• You will be required to upskill on HubSpot and a host of other martech tools continuously and over time become a match specialist.
• You will enable the learning of others on HubSpot, so your love for knowledge sharing will be put to use.
• You will be assigned as a Project Manager for the company's marketing services clients.

Qualifications and skills

• 3+ Years working on HTML/CSS. JavaScript is a plus
• Experience working with Content Management Systems like HubSpot, WordPress, etc. 
• Have experience in HubL and creating HubSpot templates using HubL. HubSpot CMS certification is a plus.
• Worked with web designers to create HubSpot templates and custom modules from scratch.
• Worked on apps and integrations from the HubSpot marketplace.
• Understand APIs and integrations, from the tech as well as the business sides.
• Strong sense of design and are able to articulate what is on-trend, what looks good. Attention to detail is a must.
• Ability to work on multiple projects at once
• Excellent communication skills
• Critical thinking and troubleshooting