Media Sales and Brand Solutions

The Quality Assurance Engineer is responsible for implementing and maintaining quality control processes to ensure that our products meet regulatory requirements and Environmental norms. We should work closely with cross-functional teams to identify quality issues, implement corrective actions, and continuously improve product quality and reliability.

• Quality Control Processes: Develop and implement quality control processes and procedures for manufacturing environmental products. Define quality metrics and standards to ensure compliance with regulatory requirements and customer specifications.

• Product Testing and Validation: Design and execute comprehensive testing protocols to validate the performance, reliability, and safety of composting machines, incinerators, and other environmental equipment.

• Regulatory Compliance: Ensure that environmental products comply with relevant regulatory standards and certifications, such as EPA regulations, ISO standards, and industry-specific requirements. Stay updated on changes in regulations and ensure product designs and manufacturing processes remain compliant.

• Root Cause Analysis: Investigate quality issues and customer complaints to identify root causes and implement corrective and preventive actions. Use problem-solving techniques such as root cause analysis, failure mode and effects analysis (FMEA), and 5 Whys to address quality issues and improve product reliability.

• Documentation and Reporting: Maintain accurate records of quality control activities, test results, and corrective actions taken. Prepare quality reports and metrics to track product quality, defects, and non-conformances. Communicate quality-related information to stakeholders, including management, engineering teams, and production staff.

• Training and Development: Provide training and support to production staff on quality control processes, procedures, and best practices. Promote a culture of quality and accountability throughout the organization by fostering a commitment to excellence and continuous improvement.

• Continuous Improvement: Drive continuous improvement initiatives to enhance product quality, manufacturing processes, and quality control procedures. Implement lean manufacturing principles and quality management methodologies to optimize efficiency and minimize waste.

Qualifications and experiences:

• Bachelor’s degree in engineering, preferably Mechanical/Electrical/Quality assurance/Quality management.

• Strong understanding of quality management principles particularly in manufacturing.

• Familiarity with relevant regulatory standards applicable to environmental products ISO 9001/14001/OSHAS etc.

• Proficiency in data analysis and problem-solving techniques to identify root causes of quality issues, implement corrective action.

• Strong attention to detail and accuracy in performing quality control tasks, documenting test results, and ensuring compliance with quality standards.

• Experience with Quality Management Systems, Familiarity with quality management systems (QMS) and quality control processes,

• Strong B2B Tech / SaaS Sales Profile, with a focus on Global Large Enterprises
• Mandatory (Experience 1): Must have minimum 8+ YOE in B2B Tech Sales for complex ERP Tech, B2B SaaS, or Tech Product Sales.
• Mandatory (Experience 2) : Must have 2+ YOE in B2B SaaS Sales.
• Mandatory (Experience 3): Must have minimum 2+ YOE in dealing with Direct Sales to Large Enterprise accounts in US Market.
• Mandatory (Experience 4): Must have handled deal / ticket size of average 70K+ USD and 750K+ USD of Annual Target.
• Mandatory (Experience 5): Must have experience with long sales cycles (3 to 6-months) for complex ERP solutions, consultative selling, and working with CXO-level stakeholders
• Mandatory (Experience 6): Must have seen strong career growth/promotions in last 5 years, and should be a Senior Manager or above in the current role
• Mandatory (Compensation): Current total compensation (Fixed + Variable) must be ₹60 LPA or above.

Preferred

• Preferred (Experience): Some managing/mentoring experience is a plus.
• Preferred (Education) - MBA from Tier-1 Colleges

Preferred Companies

Target Companies (1) - 6sense, Anaplan, Airtable, Avalara, Browserstack, Chargebee, Datatrain, Drivetrain, Druva, Freshworks, Gusto, Hackerrank, Highradius, HubSpot, Intercom, Kissflow, Moengage, Mosaic Tech, Ordway, Outplay, Paperflite, Planful, QuickBooks, Ramp, Revenuehero, Rippling, Rocketium

Target Companies (2) - Sezzle, Slack, Spendesk, Sprinto, Stripe, SuperOps, Survey Sparrow, Vanta, Whatfix, Xero, Zeda.io, Zoho, zycus, Darwinbox, Entropik, Everstage, Facilio, Growfin, Growfin.ai, Haptik, Interviewbit, Lead Squared, Leadle, Prezent, Recko, Recruiterflow, SentientGeeks, Spendflo, Squadstack, Vertice, Zenoti

About the job

The ideal candidate is a creative team player, talented wordsmith, and grammar sleuth. You will be responsible

for developing marketing and communications content that will separate us from the crowd. Someone who will

craft the written language that brings a brand's vision to life.

Responsibilities

• Bring an ability to understand brand briefs, tonality and communication structure of the brand.

• This includes creating compelling messaging for various touchpoints, from website copy and social

media posts to advertising materials and internal communications.

• Build trust, foster emotional connections, and drive conversions by effectively communicating the

brand's message.

• Be an important part of Windowseat’s collaborative culture and work with cross functional teams.

• Collaborate with graphic designers to ensure that the written content and visual design work together

harmoniously.

• Crafting compelling and engaging posts for social media platforms, maintaining brand consistency and

promoting engagement.

• Developing memorable and impactful taglines and slogans that capture the essence of the brand.

• Present ideas to clients clearly and effectively.

• Obsessed with grammar and proofreading.

• Stay abreast with the current industry trends.

Qualifications

• Should have 2-6 years of experience working as a copywriter with Branding And/or advertising agency

• A Bachelor's degree in fields such as Journalism, Communications, English, Marketing, or a related

discipline is the minimum requirement.

• Excellent written and verbal communication skills

• Knowledge of written and verbal skills in a regional languages will be an advantage.

• Additional skills like SEO knowledge and familiarity with digital marketing tools are also advantageous.

We are looking for a results-oriented Performance Marketing Expert who lives and breathes Meta Ads and Google Ads, understands funnels deeply, and can consistently improve CPL and lead quality.

Key Responsibilities

• Plan, execute, and optimise Meta (Facebook & Instagram) and Google Ads campaigns end-to-end
• Drive high-quality leads at lower cost through continuous optimisation
• Analyse funnels from ad → landing page → lead → conversion and identify drop-offs
• Perform audience research, creative testing, and scaling strategies
• Optimise:
• CPL (Cost per Lead)
• Lead quality
• ROAS / conversion efficiency
• Work closely with:
• Sales & counselling team (to assess lead quality)
• Creative team (for ad copies, creatives, hooks)
• Tech/landing page team (for conversion optimisation)
• Run A/B tests on:
• Creatives
• Ad copies
• Audiences
• Landing pages
• Track and report performance using Meta Ads Manager, Google Ads, GA, and tracking tools
• Actively reduce ad waste and scale winning campaigns

We are looking for a skilled react.js developer to join our front-end development team. In this role, you will be responsible for developing and implementing user interface components using React.js concepts. You will also be responsible for profiling and improving front-end performance and documenting our front-end codebase.

React.js Developer Responsibilities: 

1.     Reviewing application requirements and interface designs.
2.     Identifying web-based user interactions.
3.     Developing and implementing highly responsive user interface components using react concepts.
4.     Writing application interface codes using JavaScript following react.js workflows.
5.     Troubleshooting interface software and debugging application codes.
6.     Developing and implementing front-end architecture to support user interface concepts.
7.     Monitoring and improving front-end performance.
8.     Documenting application changes and developing updates. 

React.js Developer Requirements: 

1.     Previous experience working as a react.js developer.
2.     In-depth knowledge of JavaScript, CSS, HTML, and front-end languages.
3.     Knowledge of REACT tools including React.js, Webpack, Enzyme, Redux, and Flux.
4.     Experience with user interface design.
5.     Experience with browser-based debugging and performance testing software.
6.     Excellent troubleshooting skills.
7.     Good project management skills.

Key Job Responsibilities:

• Expertise in handling out bound sales.
• Ability to communicate clearly with customers. 
• Identify potential customers to sell Taxmann’s products. Demonstrate them Products and Services.   Close sales deals and maintaining good customer rapport.
• Schedule feedback activities with existing clients to make sure they are satisfied and request referrals. Interact with customers to Cross sell products
• Follow and achieve sales goals on a monthly, quarterly and yearly basis
• CRM Operations is mandatory wherein one has to maintain customer’s record and the activities done for one single customer
• Excellent Customer service skills.
• Attend trainings to stay up to date with the specifications of new products and service offerings.

Roles and Responsibilities:

• Interacting with the client over phone and email
• Gathering client requirements
• Managing the lead flow
• Coordinating with the client and the space partners
• Generating revenue and achieving sales targets.
• Building and maintaining client relationships.

Basic Qualifications:

• - We are looking for Graduates / MBAs with 1 to 2 years of work experience in customer engagement or sales profiles.
• - Candidates familiar with the real estate sector or coworking spaces.
• - Prior experience in enquiry or client management and lead tracking will be beneficial
• - Should have strong written and spoken communication skills. Proficiency in English is a must, knowledge of other Indian languages (preferably, Hindi, Kannada, Tamil or Telugu) will be added advantage

In addition, ideal candidate should have:

• - Good problem solving skills
• - Must have good work ethic
• - Excellent communication skills
• - Works independently
• - Detail oriented

What you will be doing:

As a part of the Global Credit Risk and Data Analytics team, this person will be responsible for carrying out analytical initiatives which will be as follows: -

• Dive into the data and identify patterns
• Development of end-to-end Credit models and credit policy for our existing credit products
• Leverage alternate data to develop best-in-class underwriting models
• Working on Big Data to develop risk analytical solutions
• Development of Fraud models and fraud rule engine
• Collaborate with various stakeholders (e.g. tech, product) to understand and design best solutions which can be implemented
• Working on cutting-edge techniques e.g. machine learning and deep learning models

Example of projects done in past:

• Lazypay Credit Risk model using CatBoost modelling technique ; end-to-end pipeline for feature engineering and model deployment in production using Python
• Fraud model development, deployment and rules for EMEA region

Basic Requirements:

• 1-3 years of work experience as a Data scientist (in Credit domain)
• 2016 or 2017 batch from a premium college (e.g B.Tech. from IITs, NITs, Economics from DSE/ISI etc)
• Strong problem solving and understand and execute complex analysis
• Experience in at least one of the languages - R/Python/SAS and SQL
• Experience in in Credit industry (Fintech/bank)
• Familiarity with the best practices of Data Science

Add-on Skills : 

• Experience in working with big data
• Solid coding practices
• Passion for building new tools/algorithms
• Experience in developing Machine Learning models