Head – Sales / Business Development
at A venture-funded talent training and development org.
Head – Sales / Business Development
Objectives of this role
• Represent the company effectively with comprehensive knowledge of our offerings
• Research consumer needs and identify how our solutions address them
• Hire, train, motivate, and advise a team of sales representatives
• Achieve company objectives by planning thoroughly, setting sales goals, analyzing performance data, and making forecasts
• Develop skills continuously for hiring, training, and leading team members, and ensure that they're using effective sales tactics to meet revenue objectives
• Generate leads, and establish and nurture client relationships
Responsibilities
• Create and execute a strategic sales plan that expands our customer base and extends the company's global reach
• Meet with potential clients and grow long-lasting relationships that address their needs
• Recruit sales representatives, set objectives, train and coach them, and monitor their performance
• Identify knowledge gaps within the team and develop plans for filling them
• Ensure that company quotas are met by holding daily check-ins with sales team to set objectives and monitor progress
• Manage the month-end and year-end close processes
Required skills and qualifications
• 8-10 years of experience in managing sales in a corporate setting
• MBA (Sales)
• Proven record of success with the entire sales process, from planning to closing and overachieving sales targets
• Excellent communication, interpersonal, and organizational skills
• Superb leadership ability
• Ability to travel at least 20% of the time
Preferred skills and qualifications
• Motivational speaking experience
• Proven success rate at levels above sales quota

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What you will do:-
● Partnering with Product Managers and cross-functional teams to define metrics, build dashboards, and track product performance.
● Conducting deep-dive analyses of large-scale data to identify trends, user behavior patterns, growth gaps, and improvement opportunities.
● Performing competitive benchmarking and industry research to support product strategy and prioritization.
● Generating data-backed insights to drive feature enhancements, product experiments, and business decisions.
● Tracking post-launch impact by measuring adoption, engagement, retention, and ROI of new features.
● Working with Data, Engineering, Business, and Ops teams to design and measure experiments (A/B tests, cohorts, funnels).
● Creating reports, visualizations, and presentations that simplify complex data for stakeholdersand leadership.
● Supporting the product lifecycle with relevant data inputs during research, ideation, launch, and optimization phases.
What we are looking for:-
● Bachelor’s degree in engineering, statistics, business, economics, mathematics, data science, or a related field.
● Strong analytical, quantitative, and problem-solving skills.
● Proficiency in SQL and ability to work with large datasets.
● Experience with data visualization/reporting tools (e.g., Excel, Google Sheets, Power BI, Tableau, Looker, Mixpanel, GA).
● Excellent communication skills — able to turn data into clear narratives and actionable recommendations.
● Ability to work collaboratively in cross-functional teams.
● Passion for product, user behavior, and data-driven decision-making
● Prior internship or work experience in product analytics, business analysis, consulting, or growth teams.
● Familiarity with experimentation techniques (A/B testing, funnels, cohorts, retention metrics).
● Understanding of product management concepts and tools (Jira, Confluence, etc.).
● Knowledge of Python or R for data analysis (optional but beneficial).
● Exposure to consumer tech, mobility, travel, or marketplaces. .
- Candidate Must be a graduate from IIT, NIT, NSUT, or DTU.
- Need candidate with 1–2 years of pure Product Analyst experience is mandatory.
- Candidate must have strong hands-on experience in Product + Data Analysis + Python.
- Candidate should have Python skill on the scale of 3/5 at least.
- Proficiency in SQL and ability to work with large datasets.
- The candidate must experience with A/B testing, cohorts, funnels, retention, and product metrics.
- Hands-on experience with data visualization tools (Tableau, Power BI, Looker, Mixpanel, GA, etc.).
- Candidate must have experienece in Jira.

Looking for Java Developer for Gurugram and Bangalore Location with 5+ years of experience win Java + Microservices , Multithreading , Spring boot , Kafka and any MQ Series

Quality Assurance & Testing Head
Location: Thane Role
Requirement:
• 17 -22 years of experience in Manual & Automation Testing in Payments Domain
• Extensive experience in ATM, Payment and Cards domain. Sound knowledge of Payment schemes/networks and certification process
• Strong technical knowledge in Payment Applications, Infrastructure and Automation tools
• Good communication skills and stakeholder management
• Experience in leading end-to-end medium to large projects for entire Testing life cycle which includes efforts estimation, scheduling, defining test strategies and aligning various delivery streams to the strategy encompassing transformational thinking with agile approach
• Ability to take ownership and accountability for Testing deliverables which include Test Strategy, Environment setup Test Plan, Test Scenarios/cases/results,
• Experience in driving automation testing across all workstreams to improve the efficiency of overall testing cycle which includes design and develop reusable and robust automation assets.
• Experience in managing a large team. The role will lead a team of 40 plus employees which includes Managers, Team Lead and Test Engineers and provide mentorship and career guidance.
• Stays abreast of QA & Testing best practices and the latest available tools, frameworks, and standards.
As a member of the development group, you will be primarily responsible for the design, development, and maintenance of the product:
- Help define and create full stack architecture and deployment using React- Django-AWS in an agile environment with lots of ownership and active mentoring
- Work with the Product and Design teams to build new features to solve business problems and fill business needs
- Participate in code reviews to create robust and maintainable code
- Work in an agile environment where quick iterations and good feedback are a way of life
- Interact with other stakeholders for requirement, design discussions and for adoption of new features
- Communicate and coordinate with our support and professional services teams to solve customer issues
- Help scale our platform as we expand our product across various markets and verticals globally
As a young, fresh startup, we are hoping to be joined by self-starting, hardworking, passionate individuals who are committed to delivering their best, who can grow into future leaders of FactWise.
Job Location: Chennai
Job Summary
The Engineering Org is looking for a proficient Engineering Manager to join a team that is building exciting
and futuristic Data Products at Condé Nast to enable both internal and external marketers to target
audiences in real time. As an Engineering Manager, you will drive the day-to-day execution of technical
and architectural decisions. EM will own engineering deliverables inclusive of solving dependencies
such as architecture, solutions, sequencing, and working with other engineering delivery teams.This role
is also responsible for driving innovation, prototyping, and recommending solutions. Above all, you will
influence how users interact with Conde Nast’s industry-leading journalism.
● Primary Responsibilities
● Manage a high performing team of Software and Data Engineers within the Data & ML
Engineering team part of Engineering Data Organization.
● Provide leadership and guidance to the team in Data Discovery, Data Ingestion, Transformation
and Storage
● Utilizing product mindset to build, scale and deploy holistic data products after successful
prototyping and drive their engineering implementation
● Provide technical coaching and lead direct reports and other members of adjacent support teams
to the highest level of performance..
● Evaluate performance of direct reports and offer career development guidance.
● Meeting hiring and retention targets of the team & building a high-performance culture
● Handle escalations from internal stakeholders and manage critical issues to resolution.
● Collaborate with Architects, Product Manager, Project Manager and other teams to deliver high
quality products.
● Identify recurring system and application issues and enable engineers to work with release teams,
infra teams, product development, vendors and other stakeholders in investigating and resolving
the cause.
● Required Skills
● 4+ years of managing Software Development teams, preferably in ML and Data
Engineering teams.
● 4+ years of Agile Software development practices
● 12+ years of Software Development experience.
● Excellent Problem Solving and System Design skill
● Hands on: Writing and Reviewing code primarily in Spark, Python and/or Java
● Hand on: Architect & Design end to end Data Pipeline (noSQL databases, Job Schedulers, Big
Data Development preferably on Databricks / Cloud)
● Experience with SOA & Microservice architecture
● Knowledge of Software Engineering best practices with experience on implementing CI/CD,
Log aggregation/Monitoring/alerting for production system
● Working Knowledge of cloud and devops skills (AWS will be preferred)
● Strong verbal and written communication skills.
● Experience in evaluating team member performance and offering career development
guidance.
● Experience in providing technical coaching to direct reports.
● Experience in architecting highly scalable products.
● Experience in collaborating with global stakeholder teams.
● Experience in working on highly available production systems.
● Strong knowledge of software release process and release pipeline.
About Condé Nast
CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and social
platforms - in other words, a staggering amount of user data. Condé Nast made the right move to
invest heavily in understanding this data and formed a whole new Data team entirely dedicated to
data processing, engineering, analytics, and visualization. This team helps drive engagement, fuel
process innovation, further content enrichment, and increase market revenue. The Data team
aimed to create a company culture where data was the common language and facilitate an
environment where insights shared in real-time could improve performance.
The Global Data team operates out of Los Angeles, New York, Chennai, and London. The team at
Condé Nast Chennai works extensively with data to amplify its brands' digital capabilities and boost
online revenue. We are broadly divided into four groups, Data Intelligence, Data Engineering, Data
Science, and Operations (including Product and Marketing Ops, Client Services) along with Data
Strategy and monetization. The teams built capabilities and products to create data-driven solutions
for better audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create diverse forms of
self-expression. At Condé Nast, we encourage the imaginative and celebrate the extraordinary. We
are a media company for the future, with a remarkable past. We are Condé Nast, and It Starts Here.
As the Head of Engineering, you will build and interact with the entire engineering team to
solve problems and build the entire learning platform. This will involve working on building
the learning management system, content management systems and to build the online live class platform. This includes building the backend platform and frontend journeys for
customers.
.
Roles and responsibilities:
• Building the product architecture for performance and scalability of the end-to-end
product
• Recruiting, mentoring and training junior developers
• Working in close coordination with the founder to implement various business-related
objectives of the company.
• End to end delivery of new features
• Design, develop and own components of a highly scalable education platform
• Constantly strive to improve software development process and team productivity.
• Lead module development independently
• Working with Product Team/ Sales Team to make both the ends of business meet
• Ensuring best of design processes to ensure better user experience, higher
engagements, and root cause elimination of technical issues.
• Out of many tools and technologies, you must be excellent at Java, MongoDb /
MERN Stack & React Native to build Web Application & Mobile Application for the
organization
Required background, Knowledge, Skills and Abilities
• 5-8 years of experience in building products end-to-end; preferably at least 3 years
with building products from scratch and getting the 0-1 journey
• Tech Stack (Node.js, React Native, React.js, AWS, MongoDB)
• Ability to code and build the product on their own with assistance from junior
developers
• Strong knowledge of Performance optimization
• Strong Object-oriented Programming concepts, data structure and algorithms
• Experience in developing scalable, fault-tolerant, distributed backend services
• Experience with prevalent design patterns and advanced system designing
• Good experiences with databases and Schema design. Knowledge of NoSQL
databases
• Strong Problem-Solving skills and communication skills
• Frugal approach to problem solving and product building process
• B.E/B.Tech/M.Tech Computer Science or related field
Who can Apply:
• Are available for full time in office (Bangalore)
• Have relevant skills and interests
Other Rewards:
• Opportunity to step up and become a leader, to, have full-ownership of the work and
to create impactful global products
• A chance to work alongside the leadership team from Harvard and IIT
• Competitive market-standard compensation
Generating GST Invoices towards Sales/Client.
Maintaining day-to-day accounts.
Maintain GST payable calculations on basis of invoices cleared.
Maintain physical records of Invoices/Agreements - hard copies.
Reply and coordinate with auditors for queries and year end closure and cross verify auditor data
for GST calculations.
Prepare month end reports like Income / Expenditure Report and Graphic representation.
Responsible for Accounts receivable and payable.
Track bank statements and account for credit and expenses.
Record TDS on payments - maintain TDS file month wise
Also ensuring that Salaries and pay-outs are made on time.
GST Return Filing GSTR.
TDS Return Filing.
WORK EXPERIENCE & OTHER ABILITES REQUIRED:
Having experience in handling finance functions
Communication and interpersonal skills.
The right person would be smart, Proactive and a self-starter.
- You'd have to set up your own shop, work with design customers to find generalizable use cases, and build them out.
- Ability to collaborate with cross-functional teams to build and ship new features
- At least 2-5 years of experience
- Predictive Analytics – Machine Learning Algorithms, Logistics & Linear Regression, Decision Tree, Clustering.
- Exploratory Data Analysis – Data Preparation, Data Exploration, and Data Visualization.
- Analytics Tools – R, Python, SQL, Power BI, MS Excel.
Job Description:
- The Position will gather user requirements, create and maintain procedures, and assist in the configuration/customization of the system.This position requires flexibility with changing priorities.
- Generates new code and corrects, convert’s, and/or modifies existing code to meet specifications.
- Prepares detailed specifications from which code will be written.
- Writes and update’s Technical Documentation such as users' manuals, product specification’s, and Training Materials.
- Performs a variety of Testing Procedures on assigned products, analyzes test results, and correct the problems.
- Good Knowledge in Asp.Net , C# Windows application , MVC/Web API & SQL Experienced in integrating clinical Diagnostic Processes into LIS processes through software development Life-cycle test, and verification and validation. Development of instrument interfaces from LIS to Clinical Laboratory Instruments, and data interfaces with external Stakeholders. Knowledge and Experience in LIS life cycle form Implementing requirements and Design through Configuration and Development







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