Company Description VIWELL is a digital platform dedicated to enhancing employee well-being, engagement, and productivity. Through its comprehensive dashboard, VIWELL equips business leaders with real-time analytics to shape strategic well-being initiatives. The employee app offers interactive features such as events, rewards, gamification, personalized wellness plans, and resources like the Employee Assistance Program (EAP). By addressing both employer and employee needs, VIWELL provides a holistic approach to optimizing workforce health that aligns with organizational success. Role Overview The Product Manager will play a key role in shaping and scaling VIWELL’s B2C digital experience. The ideal candidate brings a strong background in customer-facing products , preferably within wellness, health tech, or lifestyle platforms , and thrives in startup or high-growth environments . This role requires a blend of strategic product thinking and hands-on execution. The Product Manager will be responsible for translating VIWELL’s vision and business goals into high-impact product experiences that drive growth, conversion, retention, and customer satisfaction across our digital ecosystem. Working closely with cross-functional teams across Business Technology, Product Strategy, Marketing, and Customer Experience , the Product Manager will deliver innovative capabilities that enhance the overall user journey and accelerate VIWELL’s mission to reach millions of users across the region. Key Responsibilities Product Ownership & Delivery • Lead end-to-end development of B2C product features, from concept to launch, with a focus on high-quality, customer-centric experiences. • Translate business objectives and user needs into detailed product requirements, user stories, and acceptance criteria. • Ensure timely and efficient delivery of product updates, enhancements, and iterations. Roadmap & Strategy • Define and maintain product roadmaps that align with VIWELL’s growth priorities and market expansion plans. • Identify and prioritize features based on customer insights, business value, and technical feasibility. • Influence long-term product vision by staying current with trends in wellness, health tech, gamification, and digital engagement. Customer Insights & Analytics • Analyze user behavior, funnel metrics, and customer feedback to optimize onboarding, conversion, retention, and engagement. • Partner with Marketing and Customer Experience teams to test hypotheses, run experiments, and validate product assumptions. • Implement data-driven product improvements that directly impact revenue and usage KPIs. Cross-Functional Leadership • Collaborate closely with engineering, design, data, and business stakeholders to deliver seamless product execution. • Ensure alignment across commercial, marketing, and operational teams regarding product launches and feature rollouts. • Act as the product advocate internally, ensuring clarity of priorities, timelines, and user value. Innovation & Market Awareness • Continuously monitor wellness and health tech innovations, digital lifestyle trends, and competitor landscape. • Evaluate new technologies and features that can elevate VIWELL’s value proposition and customer experience. Qualifications & Experience • Bachelor’s or master’s degree in engineering , Computer Science, Business, Product Management, or a related field . • 5–6 years of experience in product management or product engineering roles, ideally within wellness, health tech, lifestyle apps, or SaaS . • Proven experience building and optimizing B2C digital products , with a strong focus on growth metrics and conversion optimization. • Strong understanding of product strategy, roadmap development, and end-to-end product lifecycle management. • Demonstrated experience working in startup or fast-paced environments . • Excellent analytical, problem-solving, and decision-making skills. • Strong communication and stakeholder management capabilities. • Customer-obsessed mindset and passion for creating high-impact digital experiences. • Ability to manage multiple priorities under tight timelines and adapt quickly to change. What We Offer • Competitive salary package based on experience. • Opportunity to work on high-impact, customer-facing digital products in a rapidly growing sector. • Collaborative, mission-driven, and innovation-focused work culture. • Career advancement opportunities within the evolving wellness and technology ecosystem. Location: India (Hybrid) — applicants must be based in India. How to Apply: If you meet the criteria and are ready to be part of a purpose-driven company, send your CV to: career@viwell.com Join us and help transform well-being across the region! #VIWELL #ProductManager #IndiaJobs #UAE #HybridWork #SaaS #Wellbeing
Company Description VIWELL is a wellness-focused digital platform designed to improve employee well-being, engagement, and productivity while empowering business leaders with actionable insights. With a robust dashboard, VIWELL delivers real-time analytics to craft strategic well-being initiatives. Through an intuitive employee app, the platform enables engagement with events, rewards, gamification, and personalized wellness plans, complemented by resources like the Employee Assistance Program (EAP). By addressing the health needs of both employers and employees, VIWELL bridges the gap between individual well-being and organizational success. Role Overview The Data & Machine Learning (ML) Engineer will play a key role in enabling VIWELL’s next-generation personalization and intelligent recommendation systems. The ideal candidate brings strong experience in data engineering, applied machine learning, and safe AI practices , preferably within digital product environments and fast-paced or startup settings. This role requires a mix of hands-on engineering capability, analytical depth, and safety-driven mindset. The Data & ML Engineer will work closely with Product, Backend Engineering, Analytics, and AI Leadership to deliver high-quality events, features, eligibility rules, ranking logic, and safe GPT rewrites that enhance user engagement and personalization across VIWELL’s ecosystem. The role directly supports VIWELL’s mission of scaling to millions of users through intelligent, privacy-preserving, and high-performance data and ML systems. Key Responsibilities • Define event schemas and data contracts in collaboration with Product and Analytics to ensure high-quality tracking and feature availability. • Engineer and maintain data features in Databricks with robust quality checks, lineage documentation, and automated orchestration. • Design and implement eligibility rules and ranking logic to power deterministic, safe personalization and recommendations. • Build guardrails and validation systems including blocklists, allowlists, rewrite validators, and pseudonymization frameworks for safe GPT-assisted rewrites. • Design A/B experiments , exposure logging, and statistical frameworks with power analysis to support iterative product improvements. • Integrate ML and personalization systems with backend APIs, ensuring optimized response times below 300 milliseconds. • Collaborate with cross-functional teams to ensure clarity, alignment, and seamless execution of data and ML solutions. • Stay informed on evolving AI safety principles, data quality standards, and best practices in ML engineering. • Continuously improve feature pipelines, data freshness, ranking performance, and validation accuracy. Qualifications & Experience • Bachelor’s or master’s degree in computer science , Engineering, Data Science, Machine Learning , or related technical field. • 5–7 years of experience in data engineering, machine learning engineering, or applied ML roles. • Hands-on experience with Python, SQL, Databricks, MLflow , and modern data engineering tooling. • Experience with dbt or similar transformation frameworks and strong understanding of data contracts and quality checks. • Proven experience designing ML ranking systems, eligibility rules, or recommendation logic with a safety-first mindset. • Familiarity with A/B testing , statistical experimentation, and product analytics. • Exposure to privacy-by-design , pseudonymization, and security best practices in data workflows. • Ability to thrive in a fast-paced environment and manage multiple concurrent priorities. • Excellent communication, problem-solving, and stakeholder management skills. Key Competencies • Data Engineering & Pipeline Reliability • Applied Machine Learning for Ranking & Personalization • AI Safety & Guardrail Thinking • Experimentation Design & Analytics Literacy • Privacy by Design & Data Security Awareness • Cross-Functional Collaboration • Technical Problem-Solving & Root Cause Analysis • High Accountability & Ownership What We Offer • Competitive salary package based on experience. • Opportunity to build impactful, safety-focused AI and ML systems used by millions of users • Collaborative, innovation-driven, and mission-led work culture. • Career growth opportunities within the fast-evolving AI, wellness, and technology landscape. Location: India (Hybrid) — applicants must be based in India. How to Apply: If you meet the criteria and are ready to be part of a purpose-driven company, send your CV to: career@viwell.com Join us and help transform well-being across the region! #VIWELL #ML #IndiaJobs #UAE #HybridWork #SaaS #Wellbeing
Company Overview VIWELL is a digital solution designed to enhance employee well-being, engagement, and productivity. Our platform provides business leaders with real-time insights, offering analytics that inform strategic well-being initiatives. The employee app promotes engagement through events, rewards, gamification, personalized wellness plans, and resources like the Employee Assistance Program (EAP). By integrating the needs of both employers and employees, VIWELL offers a comprehensive view of workforce health, enabling targeted strategies that align with business objectives. Role Overview The Data & Analytics Lead will play a critical role in building VIWELL’s analytics foundation, ensuring the company has a reliable source of truth, consistent metric definitions, and high-quality insights that drive business and product decisions. This role requires strong analytical leadership, hands-on technical ability, and a structured approach to delivering dashboards, experiment readouts, and user behavior insights. The ideal candidate brings experience in digital analytics (GA4, Mixpanel), SQL-based data modelling, retention analysis, and data storytelling —ideally within a fast-paced, product-focused or startup environment. The Data & Analytics Lead will work closely with Product, Data/ML Engineering, Backend, and Executive Leadership to establish taxonomy, tracking plans, dashboards, and analytics frameworks that support VIWELL’s growth and personalization strategy. Key Responsibilities • Define tracking taxonomy and source-of-truth metrics in partnership with Product, Data/ML, and Engineering teams. • Build and maintain dashboards for retention, engagement funnels, cohorts, and user journey drop-offs across key user segments. • Instrument exposure and outcome events required for experiments, personalization models, and product insights. • Deliver weekly readouts and executive insights, highlighting trends, anomalies, opportunities, and recommended actions. • Develop and govern a data dictionary, ensuring consistent metric definitions and clear lineage across all analytics outputs. • Maintain a structured dashboard catalogue and ensure data accessibility, quality, and usability across stakeholders. • Collaborate cross-functionally to influence decisions with data and ensure analytics integration across product and growth initiatives. • Run ad-hoc deep dives into user behavior, retention drivers, and feature performance to support product optimization. Qualifications & Experience • Bachelor’s or master’s degree in data science, Analytics, Engineering, Computer Science, Mathematics, or a related field. • 5–7 years of experience in digital analytics, product analytics, or data analytics roles, ideally in B2C or mobile/app environments. • Strong hands-on experience with GA4 or Mixpanel, SQL, and data modelling. • Experience working with Databricks SQL, retention analysis, cohort modelling, and experiment evaluation. • Proven ability to deliver clear, structured dashboards and high-impact insights for business and product teams. • Excellent communication and data storytelling skills, with the ability to translate complex data into actionable recommendations. • Experience working cross-functionally with Product, Engineering, and Growth teams in fast-paced organizations. • High attention to detail, strong governance mindset, and ability to maintain consistent metric definitions across teams. Key Competencies • Digital Analytics & Behavioral Insight • Funnel, Cohort, and Retention Analysis • Experimentation Frameworks & Evaluation • SQL & Data Modelling • Data Storytelling & Executive Communication • Analytical Problem-Solving • Metric Governance & Taxonomy • Cross-Functional Collaboration • High Ownership & Accountability What We Offer • Competitive salary package based on experience. • Opportunity to work on high-impact, customer-facing digital products in a rapidly growing sector. • Collaborative, mission-driven, and innovation-focused work culture. • Career advancement opportunities within the evolving wellness and technology ecosystem. Location: India (Hybrid) — applicants must be based in India. How to Apply: If you meet the criteria and are ready to be part of a purpose-driven company, send your CV to: career@viwell.com Join us and help transform well-being across the region! #VIWELL #DataandAnalyticsLead #IndiaJobs #UAE #HybridWork #SaaS #Wellbeing
Company Description VIWELL is a wellness-focused digital platform designed to improve employee well-being, engagement, and productivity while empowering business leaders with actionable insights. With a robust dashboard, VIWELL delivers real-time analytics to craft strategic well-being initiatives. Through an intuitive employee app, the platform enables engagement with events, rewards, gamification, and personalized wellness plans, complemented by resources like the Employee Assistance Program (EAP). By addressing the health needs of both employers and employees, VIWELL bridges the gap between individual well-being and organizational success. Role Overview The Data & Machine Learning (ML) Engineer will play a key role in enabling VIWELL's next-generation personalization and intelligent recommendation systems. The ideal candidate brings strong experience in data engineering, applied machine learning, and safe AI practices , preferably within digital product environments and fast-paced or startup settings. This role requires a mix of hands-on engineering capability, analytical depth, and safety-driven mindset. The Data & ML Engineer will work closely with Product, Backend Engineering, Analytics, and AI Leadership to deliver high-quality events, features, eligibility rules, ranking logic, and safe GPT rewrites that enhance user engagement and personalization across VIWELL's ecosystem. The role directly supports VIWELL's mission of scaling to millions of users through intelligent, privacy-preserving, and high-performance data and ML systems. Key Responsibilities Define event schemas and data contracts in collaboration with Product and Analytics to ensure high-quality tracking and feature availability. Engineer and maintain data features in Databricks with robust quality checks, lineage documentation, and automated orchestration. Design and implement eligibility rules and ranking logic to power deterministic, safe personalization and recommendations. Build guardrails and validation systems including blocklists, allowlists, rewrite validators, and pseudonymization frameworks for safe GPT-assisted rewrites. Design A/B experiments , exposure logging, and statistical frameworks with power analysis to support iterative product improvements. Integrate ML and personalization systems with backend APIs, ensuring optimized response times below 300 milliseconds. Collaborate with cross-functional teams to ensure clarity, alignment, and seamless execution of data and ML solutions. Stay informed on evolving AI safety principles, data quality standards, and best practices in ML engineering. Continuously improve feature pipelines, data freshness, ranking performance, and validation accuracy. Qualifications & Experience Bachelor's or master'sdegree in computer science , Engineering, Data Science, Machine Learning , or related technical field. 57 years of experience in data engineering, machine learning engineering, or applied ML roles. Hands-on experience with Python, SQL, Databricks, MLflow , and modern data engineering tooling. Experience with dbt or similar transformation frameworks and strong understanding of data contracts and quality checks. Proven experience designing ML ranking systems, eligibility rules, or recommendation logic with a safety-first mindset. Familiarity with A/B testing , statistical experimentation, and product analytics. Exposure to privacy-by-design , pseudonymization, and security best practices in data workflows. Ability to thrive in a fast-paced environment and manage multiple concurrent priorities. Excellent communication, problem-solving, and stakeholder management skills. Key Competencies Data Engineering & Pipeline Reliability Applied Machine Learning for Ranking & Personalization AI Safety & Guardrail Thinking Experimentation Design & Analytics Literacy Privacy by Design & Data Security Awareness Cross-Functional Collaboration Technical Problem-Solving & Root Cause Analysis High Accountability & Ownership What We Offer Competitive salary package based on experience. Opportunity to build impactful, safety-focused AI and ML systems used by millions of users Collaborative, innovation-driven, and mission-led work culture. Career growth opportunities within the fast-evolving AI, wellness, and technology landscape. Location: India (Hybrid) applicants must be based in India. How to Apply: If you meet the criteria and are ready to be part of a purpose-driven company, send your CV to: [HIDDEN TEXT] Join us and help transform well-being across the region! #VIWELL #ML #IndiaJobs #UAE #HybridWork #SaaS #Wellbeing
Company Overview VIWELL is a digital solution designed to enhance employee well-being, engagement, and productivity. Our platform provides business leaders with real-time insights, offering analytics that inform strategic well-being initiatives. The employee app promotes engagement through events, rewards, gamification, personalized wellness plans, and resources like the Employee Assistance Program (EAP). By integrating the needs of both employers and employees, VIWELL offers a comprehensive view of workforce health, enabling targeted strategies that align with business objectives. Role Overview The Data & Analytics Lead will play a critical role in building VIWELL's analytics foundation, ensuring the company has a reliable source of truth, consistent metric definitions, and high-quality insights that drive business and product decisions. This role requires strong analytical leadership, hands-on technical ability, and a structured approach to delivering dashboards, experiment readouts, and user behavior insights. The ideal candidate brings experience in digital analytics (GA4, Mixpanel), SQL-based datamodelling, retention analysis, and data storytelling ideally within a fast-paced, product-focused or startup environment. The Data & Analytics Lead will work closely with Product, Data/ML Engineering, Backend, and Executive Leadership to establish taxonomy, tracking plans, dashboards, and analytics frameworks that support VIWELL's growth and personalization strategy. Key Responsibilities Define tracking taxonomy and source-of-truth metrics in partnership with Product, Data/ML, and Engineering teams. Build and maintain dashboards for retention, engagement funnels, cohorts, and user journey drop-offs across key user segments. Instrument exposure and outcome events required for experiments, personalization models, and product insights. Deliver weekly readouts and executive insights, highlighting trends, anomalies, opportunities, and recommended actions. Develop and govern a data dictionary, ensuring consistent metric definitions and clear lineage across all analytics outputs. Maintain a structured dashboardcatalogueand ensure data accessibility, quality, and usability across stakeholders. Collaborate cross-functionally to influence decisions with data and ensure analytics integration across product and growth initiatives. Run ad-hoc deep dives into user behavior, retention drivers, and feature performance to support product optimization. Qualifications & Experience Bachelor's or master'sdegree in data science, Analytics, Engineering, Computer Science, Mathematics, or a related field. 57 years of experience in digital analytics, product analytics, or data analytics roles, ideally in B2C or mobile/app environments. Strong hands-on experience with GA4 or Mixpanel, SQL, and datamodelling. Experience working with Databricks SQL, retention analysis, cohortmodelling, and experiment evaluation. Proven ability to deliver clear, structured dashboards and high-impact insights for business and product teams. Excellent communication and data storytelling skills, with the ability to translate complex data into actionable recommendations. Experience working cross-functionally with Product, Engineering, and Growth teams in fast-paced organizations. High attention to detail, strong governance mindset, and ability to maintain consistent metric definitions across teams. Key Competencies Digital Analytics & Behavioral Insight Funnel, Cohort, and Retention Analysis Experimentation Frameworks & Evaluation SQL & DataModelling Data Storytelling & Executive Communication Analytical Problem-Solving Metric Governance & Taxonomy Cross-Functional Collaboration High Ownership & Accountability What We Offer Competitive salary package based on experience. Opportunity to work on high-impact, customer-facing digital products in a rapidly growing sector. Collaborative, mission-driven, and innovation-focused work culture. Career advancement opportunities within the evolving wellness and technology ecosystem. Location: India (Hybrid) applicants must be based in India. How to Apply: If you meet the criteria and are ready to be part of a purpose-driven company, send your CV to: [HIDDEN TEXT] Join us and help transform well-being across the region! #VIWELL #DataandAnalyticsLead #IndiaJobs #UAE #HybridWork #SaaS #Wellbeing
As a Data & Machine Learning (ML) Engineer at VIWELL, you will be instrumental in enhancing VIWELL's personalization and intelligent recommendation systems. Your role will involve collaborating with various teams to deliver high-quality events, features, eligibility rules, ranking logic, and safe GPT rewrites that aim to enhance user engagement and personalization within VIWELL's ecosystem. Your efforts will directly contribute to VIWELL's mission of scaling to millions of users through intelligent, privacy-preserving, and high-performance data and ML systems. **Key Responsibilities:** - Define event schemas and data contracts in collaboration with Product and Analytics for high-quality tracking and feature availability. - Engineer and maintain data features in Databricks with robust quality checks, lineage documentation, and automated orchestration. - Design and implement eligibility rules and ranking logic for safe personalization and recommendations. - Build guardrails and validation systems like blocklists, allowlists, rewrite validators, and pseudonymization frameworks for safe GPT-assisted rewrites. - Design A/B experiments, exposure logging, and statistical frameworks to support iterative product improvements. - Integrate ML and personalization systems with backend APIs for optimized response times below 300 milliseconds. - Collaborate with cross-functional teams to ensure clarity, alignment, and seamless execution of data and ML solutions. - Stay updated on evolving AI safety principles, data quality standards, and best practices in ML engineering. - Continuously enhance feature pipelines, data freshness, ranking performance, and validation accuracy. **Qualifications & Experience:** - Bachelor's or master's degree in computer science, Engineering, Data Science, Machine Learning, or related technical field. - 5-7 years of experience in data engineering, machine learning engineering, or applied ML roles. - Hands-on experience with Python, SQL, Databricks, MLflow, and modern data engineering tooling. - Experience with dbt or similar transformation frameworks and strong understanding of data contracts and quality checks. - Proven experience in designing ML ranking systems, eligibility rules, or recommendation logic with a safety-first mindset. - Familiarity with A/B testing, statistical experimentation, and product analytics. - Exposure to privacy-by-design, pseudonymization, and security best practices in data workflows. - Ability to thrive in a fast-paced environment and manage multiple concurrent priorities. - Excellent communication, problem-solving, and stakeholder management skills. **What We Offer:** - Competitive salary package based on experience. - Opportunity to build impactful, safety-focused AI and ML systems used by millions of users. - Collaborative, innovation-driven, and mission-led work culture. - Career growth opportunities within the fast-evolving AI, wellness, and technology landscape. If you meet the criteria and are ready to contribute to a purpose-driven company, send your CV to career@viwell.com and be part of transforming well-being across the region!,