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Role: SAP Quality Management Consultant (QM/WM)
Location: Bangalore, India (Hybrid)
Experience: 7-10 years total (5-6+ years relevant SAP QM experience)
Employment Type: Full-time / Contract
Job Summary
We are seeking a Senior SAP QM Consultant with deep expertise in SAP Quality Management module configuration, master data setup, and integration with Warehouse Management, Procurement, and Plant Maintenance. The ideal candidate will drive QM process optimization, FIORI enablement, and documentation for enterprise-wide quality assurance implementations.
Key Responsibilities
- Configure and customize SAP QM master data including Inspection Plan setup, characteristics, and inspection methods
- Manage end-to-end QM processes: Inspection lots creation, result recording, defect management, and usage decisions
- Implement Quality Certificates and Quality Notifications workflows
- Enable and customize FIORI apps for QM functionalities (inspection, notifications, certificates)
- Design and document Process Design Documents (PDDs) for QM configurations and integrations
- Integrate QM module with Procurement (MM) and Plant Maintenance (PM) processes
- Conduct Sample Management configuration and optimization (preferred)
- Support Warehouse Management (WM) integration for quality-controlled stock movements
- Perform unit testing, integration testing, and user acceptance testing for QM configurations
- Provide knowledge transfer and training to business users and support teams
Mandatory Skills
- QM Master Data: Inspection Plan setup& configuration
- QM Core Processes: Inspection lots, result recording, defects, usage decisions
- Quality Documents: Quality Certificates&Quality Notifications
- Integration: Procurement (MM)+Plant Maintenance (PM)
- FIORI Enablement: QM-specific FIORI appsactivation & customization
Technical Skills:
✅ SAP QM Module (5-6+ years hands-on)
✅ SAP S/4HANA QM (preferred)
✅ Inspection Planning & Master Data
✅ FIORI Apps Configuration (QM domain)
✅ SAP MM/PM/WM Integration
✅ Process Design Documentation (PDD)
✅ Sample Management (advantageous)
✅ SAP ECC 6.0 / S/4HANA experience
✅ ABAP debugging (basic)
Qualifications
- Bachelor's degree in Engineering, Computer Science, or related field
- SAP QM Certification (preferred)
- Proven experience in 2+ full lifecycle SAP implementations
- Excellent documentation skills (PDD, configuration guides)
- Strong verbal/written communication for stakeholder interaction
What We Offer
- Work on enterprise-scale SAP transformations
- Hybrid work model in Bangalore
- Opportunity to work with Fortune 500 clients
- Career growth in SAP QM consulting
- Competitive compensation + benefits
Python- Strong hands-on experience in Microsoft Azure Cloud.
- Good understanding of Azure services such as Compute, Storage, Event Hub, Event Subscription, Storage Queue, and PaaS services.
- Basic understanding of Azure AI Foundry and AI-related Azure service setup.
- Good Azure networking basics: VNet, subnet, routing, and basic troubleshooting.
- Strong knowledge of Terraform, especially:
- Terraform state
- plan / apply
- troubleshooting failures
- migration risks
- Terraform Enterprise concepts
- Strong Python coding capability, not just basic scripting.
- Experience using Python for API integration, automation, JSON/YAML handling, and internal tooling.
- Good understanding of CI/CD pipelines.
- Ability to troubleshoot pipeline failures.
- Comfortable with YAML and JSON.
- Ability to troubleshoot Azure infrastructure/platform issues.
- Ability to collect logs/evidence and coordinate with network/app/Microsoft support teams.
- Basic awareness of agentic AI / LLM concepts.
- Awareness of security and cost best practices.
Good to Have Skills
- Hands-on experience with Harness.
- Hands-on experience with Terraform Enterprise.
- Exposure to LangGraph / LangChain.
- Exposure to agentic AI workflows or skill creation.
- Exposure to Claude or enterprise LLM integrations.
- Knowledge of Azure ML Workspace, model registry, and managed endpoints.
- MLOps / LLMOps knowledge.
- FinOps / Azure cost optimization experience.
- Azure certifications: AZ-104, AZ-305, AZ-400, AZ-500.
🚀 We're Hiring: Customer Support Executive
Join WorkBuddyHR – Help Us Transform HR for Modern Businesses
At WorkBuddyHR, we're building the next generation of HRMS software that helps startups and growing businesses automate HR operations, simplify employee management, and make smarter decisions through powerful insights.
If you're passionate about helping people, solving problems, and creating exceptional customer experiences, we'd love to have you on our team!
📍 Location: Bengaluru (Work From Office)
💼 Role: Customer Support Executive
🕒 Employment Type: Full-Time
💰 Compensation
- ₹20,000 Fixed Salary
- Attractive Performance Incentives
- Career Growth Opportunities based on your performance
🌟 What You'll Do
- Be the first point of contact for customers through phone, email, WhatsApp, and chat.
- Resolve customer queries with empathy and professionalism.
- Guide customers on using WorkBuddyHR effectively.
- Conduct product onboarding sessions for new clients.
- Coordinate with the technical team to ensure timely issue resolution.
- Build long-term relationships with customers and ensure high satisfaction.
- Identify opportunities for renewals, referrals, and product adoption.
- Capture customer feedback and help improve our product.
✅ What We're Looking For
- Graduate in any discipline.
- 0–2 years of experience in Customer Support, Customer Success, or a similar role.
- Excellent communication skills in English (Hindi and Kannada are a plus).
- Positive attitude with strong problem-solving skills.
- Customer-first mindset and willingness to learn.
- Basic computer knowledge and familiarity with MS Office or Google Workspace.
🎯 Why Join WorkBuddyHR?
✨ Be part of an ambitious HR Tech startup from its early growth stage.
✨ Work with a passionate and supportive team.
✨ Learn SaaS, customer success, and enterprise client management.
✨ Make a real impact by helping businesses improve their HR operations.
✨ Fast career growth for high performers.
📩 Ready to Join Us?
WorkBuddyHR
Automation that works. Insights that matter.
About Wishup :
Wishup is India's largest remote work platform (since 2017), connecting global businesses with top remote professionals in roles such as Virtual Assistants, Operations/Admin Managers, Executive Assistants, Project Managers, Bookkeepers, and Accountants. With a stringent 0.1% acceptance rate, each professional is upskilled and managed via our AI-based remote work tool.
Backed by marquee investors (Orios Ventures, Inflection Point Ventures, 500 Startups, and Tracxn Labs), Wishups' leadership team includes alumni from premier institutes like IIT Madras, IIM Ahmedabad, IIT Kanpur, IIT Bombay, and DCE.
About the role:
Key notes:
Profile - Head of Marketing
Role - Full-time
Grade - AVP
Location - Bengaluru
Work hours - Mon to Fri
What will you do?
The Marketing Leader will own end-to-end marketing strategy, execution, and performance across paid, organic, influencer, affiliate, app, and brand channels.
This role requires a marketing leader who can:
- Scale demand generation efficiently
- Build and maintain strong brand positioning
- Improve lead quality and conversion rates
- Manage a multi-functional team
- Align closely with Sales, Product, and Customer Success
You will be responsible for both immediate performance outcomes and long-term brand equity.
Key Responsibilities
1. Multi-Channel Growth & Demand Generation
- Lead strategy and execution across Google Ads (Search, Demand Gen), Meta Ads, and Influencer
- Marketing, Affiliate Marketing, App Marketing, and Email Marketing.
- Optimize campaigns for SOW-qualified leads and revenue.
- Drive improvements in CAC, LTV/CAC ratio, and channel efficiency.
- Continuously test, iterate, and scale successful initiatives.
2. Organic Growth & Authority Building
- Own SEO strategy (blogs, pages, long-tail content, ICP-focused content).
- Improve AI Overview and LLM visibility through entity-based content strategy.
- Build brand authority via digital PR, thought leadership, and strategic placements.
- Implement AI-enabled content workflows for scalability.
3. Brand Strategy & Positioning
- Define and refine brand narrative and messaging.
- Ensure consistency across the website, campaigns, email, influencer, and PR.
- Position Wishup as an operations partner, not just a service provider.
- Collaborate with Product and Sales to ensure alignment between promise and delivery.
4. Team Leadership & Cross-Functional Collaboration
- Manage a team including performance marketers, SEO writers, social media managers, designers, and app marketing resources.
- Set KPIs, conduct regular performance reviews, and drive accountability.
- Build scalable marketing systems and reporting dashboards.
- Work closely with Sales and Customer Success to improve funnel quality and retention.
5. Data & Performance Management
- Build full-funnel visibility across marketing channels.
- Identify bottlenecks and improve lead-to-close conversion.
- Analyse brand search growth and channel-level attribution.
- Present regular performance insights to founders and leadership.
What are we looking for?
- 5+ years of experience in growth, performance, or full-stack marketing.
- 3+ years managing multi-functional marketing teams.
- Proven experience scaling paid channels (Google & Meta).
- Strong understanding of SEO and organic growth strategy.
- Experience with influencer and affiliate marketing ecosystems.
- Strong analytical skills with proficiency in Excel/Sheets and marketing attribution tools.
- Experience working closely with Sales and Customer Success teams.
Preferred :
- Experience in B2B services, SaaS, or outsourcing businesses.
- Experience building brand authority in competitive markets.
- Experience leveraging AI tools for marketing workflows.
Core Competencies :
- Strategic thinking with a strong execution focus
- Data-driven decision making
- Strong team leadership and stakeholder management
- High ownership and accountability
- Clear and structured communication
Success Metrics :
- Marketing-sourced revenue growth
- Improvement in channel-level CAC
- Growth in brand search volume
- Increase in AI/organic visibility
- Improvement in lead-to-SOW conversion rates
- Team performance and output velocity
What's in it for you?
- Receive a more-than-competitive salary plus benefits
- Performance-driven and transparent work culture
- Enjoy a culture with opportunities for growth and learning
Criteria
Mandatory
- Strong Product / Business Analytics profile, with a focus on B2C digital products
- Mandatory (Experience 1): Must have 4+ YOE in Consumer analytics for Product / Marketing / Business / Consumer behaviour Insights for B2C Products (Don't want logistics, operations or supply-chain focused analytics profiles, they should have worked on consumer-side analytics)
- Mandatory (Experience 2): Must have hands-on experience with data analysis tools (SQL, Excel, Python, R)
- Mandatory (Experience 3): Must have hands-on experience with KPI dashboard creation and visualization platforms (Tableau, Power BI among others) for effective reporting at various organizational levels
- Mandatory (Experience 4): Proven ability to translate and communicate complex analytical concepts into clear, actionable insights for non-technical stakeholders
- Mandatory (Company): B2C product companies offering digital / Tech products (such as Fintech, EdTech, AdTech, TravelTech)
- Mandatory (Exclusion): Avoid all e-commerce companies like Meesho, Amazon, Flipkart, Swiggy, as their scope of work is limited and irrelevant to their requirement.
- Note: Candidates must be from B2C tech product companies where the core user experience is driven by the technology itself—not from companies like Ola, Swiggy, Zepto, Zomato, Uber, where the user experience is shaped by a tangible service (e.g., food delivery or cab rides).
- Mandatory (Stability): Minimum 2 years per role required. One short stint is acceptable if there’s a long tenure (eg: 5+ years) in a prior role. Frequent job changes are straight rejects.
- Note: Total years of experience must not exceed 6 years.
Preferred Companies
Scaler, Unacademy, upGrad, BYJU’S, Vedantu, Khan Academy, Toppr, Practo, QISpine, Paytm, Paytm Money, Freo Money, Groww, Zerodha, CRED, Navi, PhonePe, Jupiter, Kuku FM, Hike Messenger, Pocket FM, Dailyhunt, Gaana, JioSaavn, MX Player, Hotstar, Gameskraft, Dream11, MPL, Nazara Technologies, WinZO
A Real Estate Sales Executive is responsible for handling leads provided by the company and contacting potential customers to schedule property site visits. The role involves explaining property details over calls, coordinating and lining up site visits, and assisting clients during the visit by showing the project location and highlighting key features. The executive will guide customers through the buying process, address their queries, negotiate when required, and work towards closing the deal. Strong communication, client-handling skills, and the ability to convert prospects into successful sales are essential for this role.
Roles & Responsibilities:
1. Answer incoming calls and respond to customers
2. Management and resolve customer complaints.
3. Research required information using available resources
4. Document all call information according to standard operating procedures
5. Forward the complaint to the concerned area technician
6. Resolve escalated customer complaints
7. Complete call logs and reports
8. Manage large amounts of inbound calls in a timely manner
Skills:
1. Proficient in relevant computer applications
2. 10th pass or any higher education
3. Excellent data entry and typing skills
4. Superior listening, verbal, and written communication skills
5. Ability to handle the stressful situation appropriately
6. Fluent in Kannada and English.
7. Ability to multi-task, set priorities and manage time effectively.
Job Types: Full-time, Regular / Permanent
Schedule:
- Rotational shift
Education:
- Higher Secondary(12th Pass) (Preferred)
Language:
- Kannada and English (Preferred)
Java
Spring BootRequirements
- 2+ years of experience in the Development of JAVA technology.
- Strong Java Basics
- Linux
- SpringBoot or Spring MVC
- Hands-on experience in Relational Databases (SQL query or Hibernate) + Mongo (JSON parsing)
- Proficient in REST API development
- Messaging Queue (RabitMQ or Kafka)
- Microservices
- Java 8
- Any Caching Mechanism
- Good at problem-solving
Good to Have Skills:
- 2+ years of experience in using Java/J2EE tech stacks
- Good understanding of data structures and algorithms.
- Excellent analytical and problem-solving skills.
- Ability to work in a fast-paced internet start-up environment.
- Experience in technical mentorship/coaching is highly desirable.
- Understanding AI/ML algorithms is a plus.
- This role includes both product and Project management.Involve in Data collection,Data filtering,refining, and sizing huge incidents data.
- Preferred Domain- Telecom
- Good to have Voice, Unified Communication, Contact center, Messaging experience, Application to Person (i.e. integration with WhatsApp,etc.)
- Work closely with the Engineering Team,Customer Business Team, different cross-functional Team to realize a road map of RPA implementation, Starting from requirement gathering, Ideation to Solution design and implementation
- create PDD (Process Design Document) and review SDD (Solution design document),POC development, Solutioning/Sizing/Business Case/Pricing activities
- Work closely with Marketing Team for proposal preparation,Business case development
JavaPython Managing Engineering team members , inclusive of Development and Quality Assurance teams
and driving new features and functionality to the Interactions Artificial Intelligence Platform
offerings.
Technically hands on and contributing to the creation of a massively scalable, highly available
SaaS/ PaaS platforms
Be a technical team lead, in addition to people manager, managing and ensuring success of
technical teams
Provide a clear vision for the team to act on and ensure team members are performing at the
needed level to successfully execute goals.
Effectively manage multiple projects, timelines and initiatives at the same time.
Experience working with all phases of the Software Development Lifecycle – ranging from
architecture and design to implementation and testing.
Troubleshooting and fixing issues
Excellent oral and written communication skills and ability to effectively communicating within
and outside the team
Bring new technical ideas to fruition by prototyping new ideas and transforming research Proof
of Concepts into production ready software
Responsible for hiring and managing a talented team to design, build and ship next generation
products
Ability to travel – upwards of 20%
Required Skills & Experience:
10+ years of engineering experience working on systems/algorithm-level programming in
Java/Python
Experience with SQL and/or NOSQL databases
Experience working on products based on a distributed architecture deployed in multiple geo-
redundant CoLo/Cloud data centres.
3+ years of experience managing, growing and building Dev and QA teams.
Ability to operate in a highly ambiguous, rapidly evolving agile environment.
Leading strong technical teams with a maniacal focus on reliability and scalability
Hands-on manager who can also contribute in code
Knowledge of Linux operating system fundamentals
Experience working with the agile development methodology
Experience working in a fast paced environment
Experience building complex backend products like Speech Recognition Engines, Databases, etc.
Bachelors or Master’s degree in Computer Science or equivalent qualification
Desired Skils (Good to have):
Prior experience with NLP/voice technologies.
Prior experience with AI and machine learning technologies just as tensorflow, pytorch, and
scikit-learn.
Experience building real-time conversational systems leveraging SIP, webRTC, websockets, or
XMPP
Experience with profiling and troubleshooting large scale, concurrent and multi-threaded JVM
based languages (Java)
Experience with asynchronous, event driven architectures
Supervisory Responsibility:
This role will manage a group of developers as well as QA Engineers
Share resume to riya cielhr
Data AnalyticsWe are looking for a Senior Data Analyst who will support our product, sales, leadership, and marketing teams with data collection and organization of data in order to draw conclusions, make predictions, and drive informed decision making.
- The ideal candidate is adept at using large data sets to find opportunities for product and marketing optimization and using data models to test the effectiveness of different courses of action.
- Not just that, you also understand how to clean and organize data for complete analysis and calculations using spreadsheets, SQL Python, and R programming.
- Visualizing and presenting data findings in dashboards, presentations and commonly used visualization platforms must be your strength.
SKILLS YOU MUST HAVE:
- Data Cleansing, Data Analysis, Data Visualization (DataViz), SQL Questioning, Decision-Making, Problem Solving, Data Collection, Data Ethics, Sample Size Determination, Spreadsheet,
RESPONSIBILITIES:
- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
- Mine and analyze data from company databases (GOOGLE ANALYTICS, User DB, and 3rd party Marketing Analytics tools) to drive optimization and improvement of product development, marketing techniques, and business strategies.
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.
- Strong understanding of Google Analytics (GA) fundamentals and how to work with raw GA data
- Automate custom data fetching from Google Analytics dashboard to excel sheet and other primary and secondary sources
- Work with complex SQL queries
- Work with Big Query with GA integration to extract data
- Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.
- Filter Data by reviewing reports and performance indicators to identify and correct code problems
- Developing and maintaining databases, data systems reorganizing data in a readable format
- Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets could be helpful for the diagnosis and prediction
- Assign a numerical value to essential business functions so that business performance can be assessed and compared over periods of time.
- Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
- Develop company A/B testing framework and test model quality.
- Coordinate with different functional teams to implement models and monitor outcomes.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
- Understanding of statistical concepts like Statistical significance, t-test, and z-test for AB testing
- Performing analysis to assess quality and meaning of data
- Preparing reports for the management stating trends, patterns, and predictions using relevant data
- Working with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies.
- Robust understanding of Mix panel and Amplitude
Skill requirement:
- 6-8 years of experience in database management and a strong understanding of Google Analytics
- Strong mathematical skills to help collect, measure, organize, and analyze data
- Experience using statistical computer languages (R, Python, MATLAB, SQL, etc.) to manipulate data and draw insights from large data sets.
- Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
- Technical proficiency regarding database design development, data models, techniques for data mining, and segmentation.
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.
- Knowledge of data visualization software like Tableau
- Knowledge of how to create and apply the most accurate algorithms to datasets in order to find solutions
- Accuracy and attention to detail
- Adept at queries, advanced excel management, writing reports, and making presentations
- Team-working skills
- Verbal and Written communication skills
- Proven working experience in data analysis
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