Senior Product Manager
AdTech Industry
4 - 6 yrs
₹25L - ₹50L / yr
Mumbai, Noida
Skills
Product Management
Roadmaps
Product Strategy
Stakeholder management
User Research
Product optimization
Product Lifecycle Management (PLM)
Product development
Market Research
Product Documentation
PRD
User stories
User-centered design
Performance monitoring
Optimization
KPI
Data AnalyticsData governance
Review Criteria
- Strong Product Manager Profiles
- 4+ years of product management experience, of which 2+ years in healthcare, pharmaceutical, life sciences, or AdTech domains
- Must have built or scaled products involving Data Science, Machine Learning, or AI
- Must have experience working end-to-end on product lifecycle — strategy, roadmap, development execution, stakeholder alignment, user research, product optimization, and adoption (0 to 1 product experience is preferred)
- Hands-on experience collaborating with engineering, data science, design, supply teams, and demand-side teams on parallel product initiatives
- Strong understanding of demand-side and supply-side mechanisms, programmatic advertising, data intelligence products, or marketplace platforms
- Experience in companies serving Healthcare Professionals (HCPs), Pharma, Life Sciences, or HealthTech advertising is a must
- Product companies (preferably in HealthTech)
- CTC includes 20% variable
- HealthTech exposure is a must (current or past experience)
- It’s an IC role
Preferred
- Experience working on AI-driven features such as predictive models, segmentation, personalization, or automated optimization.
Job Specific Criteria
- CV Attachment is mandatory
- What is your preferred location — Noida or Mumbai?
- If you’re based in Mumbai, are you comfortable traveling to the Noida office for one week each month?
- Are you available for an in-person interview for one of the rounds?
- Which HealthTech company(ies) you have worked for?
Role & Responsibilities
We are seeking a strategic and innovative Product Manager to lead the development and growth of our DataIQ and Marketplace products. This role is pivotal in driving the vision, strategy, and execution of our data intelligence and digital commerce platforms, ensuring they deliver exceptional value to our users and stakeholders.
Key Responsibilities-
Product Strategy & Vision:
- Define and articulate the product vision and roadmap for DataIQ and Marketplace, aligning with company objectives and market needs.
- Conduct market research and competitive analysis to identify opportunities for innovation and differentiation.
- Collaborate with stakeholders to prioritize features and initiatives that drive business impact and user satisfaction.
Product Development & Execution:
- Lead the end-to-end product development lifecycle, from ideation through to launch and iteration.
- Work closely with engineering, design, and data teams to deliver high-quality products on time and within scope.
- Develop clear and concise product documentation, including PRDs, user stories, and acceptance criteria.
User Experience & Enablement:
- Ensure a seamless and intuitive user experience across both DataIQ and Marketplace platforms.
- Collaborate with UX/UI teams to design user-centric interfaces that enhance engagement and usability.
- Provide training and support materials to enable users to maximize the value of our products.
Performance Monitoring & Optimization:
- Define and track key performance indicators (KPIs) to measure product success and inform decision-making.
- Analyze user feedback and product data to identify areas for improvement and optimization.
- Continuously iterate on product features and functionalities to enhance performance and user satisfaction.
Ideal Candidate
Experience & Skills:
- Bachelor's or Master's degree in Computer Science, Engineering, Business, or a related field.
- 4+ years of experience, with a proven track record in data intelligence or digital commerce products.
- Strong understanding of data analytics, cloud technologies, and e-commerce platforms.
- Excellent communication and collaboration skills, with the ability to work effectively across cross-functional teams.
- Analytical mindset with the ability to leverage data to drive product decisions.
Nice-to-Haves:
- Experience with machine learning or AI-driven product features.
- Familiarity with data governance and privacy regulations.
- Knowledge of marketplace dynamics and seller/buyer ecosystems.
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