Location: Hybrid (New Delhi) / Remote Experience: 2–4 years in B2B Sales to HR/Recruitment Leaders Type: Full-time | Startup Environment What You’ll Do Drive full-cycle inside sales: from lead generation and outreach to product demos and deal closures . Pitch to and build strong relationships with CHROs, Talent Acquisition Heads, and HR stakeholders . Conduct impactful online product presentations and demos to decision-makers. Build and manage a qualified pipeline, especially in recruitment/staffing or HR SaaS ecosystems . Consistently achieve or exceed revenue and conversion targets. Collaborate closely with the founding and product teams for client feedback and growth initiatives. You Should Have 2–4 years of proven sales experience to the HR fraternity — ideally in: Recruitment or Staffing agencies , or HR Tech / SaaS product sales Strong inside sales abilities with confidence presenting to CXOs . Sound understanding of the recruitment landscape and HR pain-points . Excellent verbal, written, and presentation skills . High energy, presentable, and a self-starter with a result-oriented mindset . Ability to work independently in a remote, fast-paced environment. Highly Desirable Experience in Recruitment Agency Sales or HR SaaS Sales MBA / Graduate from reputed institutes with a strong academic record Prior startup or fast-scaling environment exposure Job Types: Full-time, Permanent Pay: ₹300,000.00 - ₹700,000.00 per year Schedule: Day shift Fixed shift Experience: Inside sales: 2 years (Required) in Staffing/ Recruitment sector: 2 years (Required) Location: Delhi, Delhi (Required) Willingness to travel: 25% (Required) Work Location: In person
Location: Hybrid (New Delhi) / Remote Experience: 2–4 years in B2B Sales to HR/Recruitment Leaders Type: Full-time | Startup Environment What You’ll Do Drive full-cycle inside sales: from lead generation and outreach to product demos and deal closures . Pitch to and build strong relationships with CHROs, Talent Acquisition Heads, and HR stakeholders . Conduct impactful online product presentations and demos to decision-makers. Build and manage a qualified pipeline, especially in recruitment/staffing or HR SaaS ecosystems . Consistently achieve or exceed revenue and conversion targets. Collaborate closely with the founding and product teams for client feedback and growth initiatives. You Should Have 2–4 years of proven sales experience to the HR fraternity — ideally in: Recruitment or Staffing agencies , or HR Tech / SaaS product sales Strong inside sales abilities with confidence presenting to CXOs . Sound understanding of the recruitment landscape and HR pain-points . Excellent verbal, written, and presentation skills . High energy, presentable, and a self-starter with a result-oriented mindset . Ability to work independently in a remote, fast-paced environment. Highly Desirable Experience in Recruitment Agency Sales or HR SaaS Sales MBA / Graduate from reputed institutes with a strong academic record Prior startup or fast-scaling environment exposure Job Types: Full-time, Permanent Pay: ₹300,000.00 - ₹700,000.00 per year Schedule: Day shift Fixed shift Experience: Inside sales: 2 years (Required) in Staffing/ Recruitment sector: 2 years (Required) Location: Delhi, Delhi (Required) Willingness to travel: 25% (Required) Work Location: In person
5-8 years of software development experience with Hadoop framework components(HDFS, Spark, PySpark, Sqoop, Hive, HQL, Spark, Scala) 4+ years of experience using Python, SQL and shell scripting Experience in developing and tuning spark applications Excellent understanding of spark architecture, data frames and tuning spark Strong knowledge of database concepts, systems architecture, and data structures is a must Qualification- BE/BTech in IT/ BSC-IT, MCA (Full time) or related qualification Job Types: Full-time, Permanent Pay: ₹1,500,000.00 - ₹2,700,000.00 per year Location Type: In-person Schedule: Day shift Fixed shift Experience: Python: 4 years (Required) Hadoop: 3 years (Required) Spark Architecture: 3 years (Required) Location: Bangalore, Karnataka (Required) Work Location: In person
The Assistant Team Lead (Wellness Coach) will play a key role in supporting the Trust & Safety (T&S) counselling and wellness operations . This role involves overseeing a team of counsellors providing psychological and emotional support to employees working in high-stress environments such as content moderation and online safety . The position requires a balance of leadership, clinical counselling expertise, and operational understanding of the unique challenges faced by Trust & Safety professionals. Key Responsibilities 1:1 Wellness sessions (Face to Face counseling sessions) Workshop style training including psycho-educational components and experiential learning through reflective practices, skills practice, and group discussions. Design/Deliver Talks and Workshops – at client site Help in developing user-friendly content Group Wellness activities - Including, but not limited to, peer group support sessions, team bonding sessions Excellent Communication skills- English and Hindi Know how to manage tech portals for documentation purposes Comfortable with webinars – being webinar ready. Willingness to get trained on topics for talks, even on short notice Qualifications: - Wellness Counsellor/Coach should hold a minimum degree of master's in psychology from UGC recognized institute and should have practical experience of counseling services. They also should be comfortable in working in rotational shift (24 by 7) Must have excellent written and spoken communication skills in English & Hindi. Fluency in other Indian languages will be a plus point Strong understanding of Trust & Safety workflows , content exposure risks, and the emotional demands of moderation roles. Must be comfortable with public speaking, designing and conducting workshops Excellent communication, empathy, and crisis-handling skills. Comfortable with CBT, Rogerian, Psychodynamic models Has the capacity to work with clients who work in content moderation Has taken supervision for previous counseling work Additional Information Full Time with 6 months probationary period 24X7 operational, timing will be discussed, rotational basis, including weekends and all public holidays, five days a week model. This includes evening and night shifts; travel provided for night shifts. Work from office Job Type: Full-time Pay: ₹500,000.00 - ₹800,000.00 per year Benefits: Health insurance Paid sick time Provident Fund Work Location: In person
Job Description We are seeking a highly skilled Senior Data Scientist to join our digital transformation team. The ideal candidate will have hands-on experience with model development and a deep understanding of customer data ingestion, real-time data pipelines, and AI-driven marketing strategies. You will be responsible for leveraging advanced analytics and machine learning to enable data-driven decision-making and hyper-personalized marketing at scale. This role blends analytical rigor with innovative model building and maintenance, ensuring both operational excellence and strategic customer growth. Key Responsibilities 1. Model Development Design, build, and deploy machine learning models for segmentation, predictive analytics, prospect identification, targeting, personalization, Churn prediction & retention, campaign performance and other business use cases. Contribute to building models for various use cases such as Revenue Management System, Customer 360, etc. Apply statistical analysis and data visualization techniques to generate insights and communicate effectively to business stakeholders. Translate model insights into actionable marketing strategies that enhance ROI and customer experience. Collaborate with cross-functional teams including Martech, digital, and commercial teams to operationalize models into platforms and workflows. Establish monitoring, retraining, and governance processes to ensure sustained model accuracy and business value. 2. Deep QA Model Validation Validate existing models applying end-to-end QA checks before sign-off. Assess data ingestion, schema integrity, feature engineering, and label quality for business alignment. Evaluate model predictions, performance metrics, drift monitoring, downstream outputs, and GUI integration . Document all findings, anomalies, and improvement opportunities. Support development of dashboards and reports to track validation progress, outcomes, and risks. Ensure every module is accurate, reliable, and business-aligned prior to deployment. Required Qualifications Master’s degree in Data Science, Statistics, Computer Science, or related field. 4 to 6 years of experience in data science, model validation, and applied machine learning. Proven expertise in Python, SQL, and ML frameworks (scikit-learn, TensorFlow, PyTorch). Experience with QA and drift monitoring frameworks for ML models. Familiarity with big data platforms and cloud ecosystems such as Databricks, Spark, Snowflake/AWS/Azure/GCP. Strong communication skills to convey complex insights to both technical and business stakeholders. Experience leading junior data scientists. Detail-oriented with a structured approach to QA, documentation, reporting, and dashboarding. Job Types: Full-time, Permanent Pay: ₹2,500,000.00 - ₹3,500,000.00 per year Work Location: In person
We are looking for a detail-oriented and innovative QA Automation Engineer to design, develop, and execute automated testing solutions and comprehensive test plans for Source Systems and Business Data Products. The ideal candidate will have strong expertise in validating the integrity, accuracy, and consistency of enterprise data across multiple business domains . This role is responsible for ensuring the quality of data processed through ETL pipelines and data modeling scripts across platforms such as Oracle, SQL Server, and Snowflake . The QA Automation Engineer will collaborate closely with data engineering, QA, and business teams to support scalable, reliable, and high-quality data delivery across the organization. Key Responsibilities 1) Design and Develop Automated Data Quality Tests : Build reusable automated tests to validate data ingestion, transformations, and loading across Oracle, SQL Server, and Snowflake. Verify data integrity, completeness, schema conformity, and business logic through all layers — from raw landing zone to curated data products. 2) Ensure End-to-End Data Pipeline Validation : Automate testing for ETL/ELT processes, including data staging, cleansing, fact and dimension population, and final consumption layers. Monitor transformations and data flows across platforms (Oracle → Snowflake, SQL Server → Snowflake, etc .). 3) Testing experience with Snowflake/ Oracle/ DBT SQL features (e.g., streams, tasks, time travel, variant types) in test development. Automate regression and functional testing for Snowflake data models, stored procedures, and materialized views. 4) Build and Maintain a Cross-Platform Test Framework: Extend or integrate automation frameworks compatible with Oracle, SQL Server, and Snowflake. Apply data validation tools to verify transformation accuracy. 5) Utilize TestRail for Test Case Management: Design, document, and maintain test cases and test plans in TestRail. Track execution, report defects, and ensure traceability across automated and manual test cases. 6) Collaborate Across Data Engineering and Modeling Teams: Work with data engineers, modelers, and analysts to define test criteria for ingestion jobs, business logic, and reporting outputs. Provide early feedback on development tickets and participate in code reviews. 7) Support CI/CD and Test Automation in Production Pipelines: Integrate automated tests into CI/CD workflows. Validate data integrity during production releases, schema updates, and migrations. 8) Develop Monitoring and Alerting for Data Quality: Implement anomaly detection and alerting for critical pipelines (e.g., volume drops, schema drift, business rule violations). Create dashboards or automated reports for monitoring data quality trends. 9) Ensure Test Coverage, Reusability, and Documentation: Maintain reusable and version-controlled test suites across platforms. Document test strategies, data quality standards, and platform-specific practices Education: Bachelor’s or Master’s degree in computer science, Data Engineering, or a related field. Experience: 3 to 5 years of experience in QA automation, with a strong focus on testing data pipelines, ETL/ELT processes, and data quality validation across platforms such as Oracle, SQL Server, and Snowflake. Proven experience in leading small teams or mentoring junior engineers. Technical Skills: Strong expertise in QA practices for data platforms, including designing automated quality frameworks, validating data pipelines, and risk-based testing . Proficiency in automated testing strategies, TestRail for test management, Snowflake QA automation features, and scripting/CI/CD tools to maintain system accuracy and efficiency . Strong analytical and troubleshooting skills to quickly isolate defects and drive process improvements. Effective communication and collaboration skills to work closely with Product Owners, Delivery Coaches, Engineering, and business stakeholders. Job Types: Full-time, Permanent Pay: ₹1,000,000.00 - ₹1,500,000.00 per year Work Location: In person
Job Brief: seeking an experienced Product Manager who is passionate about building products that customers love. In this dynamic and fast-paced environment, will work with cross-functional teams to design, build, and roll out products aligned with the company’s vision and strategy. Join us in leveraging expertise in product management to contribute to our organization’s growth and success. Responsibilities: Gain a deep understanding of customer experience. Identify and fill product gaps and generate new ideas to grow market share, improve customer experience, and drive growth. Create buy-in for the product vision both internally and with key external partners. Develop product pricing and positioning strategies. Translate product strategy into detailed requirements and prototypes. Prioritize activities based on business impact and customer needs. Collaborate with engineering teams for quick time-to-market and optimal resource utilization. Drive product launches, working with PR teams, executives, and other product management team members. Evaluate promotional plans to ensure alignment with product line strategy. Requirements and Skills: Proven work experience in product management or as an associate product manager . Track record of managing all aspects of a successful product throughout its lifecycle . Ability to develop product and marketing strategies and effectively communicate recommendations to executive management. Solid technical background with understanding of software development and web technologies . Strong problem-solving skills and willingness to roll up one’s sleeves. Effective collaboration with cross-functional teams in a matrix organization. Excellent written and verbal communication skills. MS/BS degree in Computer Science, Engineering, or equivalent preferred. Job Types: Full-time, Permanent Pay: ₹1,500,000.00 - ₹2,000,000.00 per year Work Location: In person