2+ User stories Jobs in Delhi, NCR and Gurgaon | User stories Job openings in Delhi, NCR and Gurgaon

Review Criteria:

Mandatory:

• Strong UAT / Functional Test Lead Profiles
• Must have minimum 7 years of overall testing experience, with at least 3 years of recent UAT experience, primarily in manual testing for large enterprise or government project
• Must have worked on minimum 2 national-level e-Governance, public sector, enterprise, or marketplace projects in a UAT lead or ownership role
• Must have 3+ years of team handling experience, leading 7–8 QA/UAT members, including task assignment, review, mentoring, and delivery ownership
• Must have complete ownership of UAT activities, including UAT planning, execution, acceptance sign-off, defect management, retesting, and regression cycles.
• Must have strong hands-on manual testing experience, with the ability to create test scenarios and test cases from BRDs, user stories, functional documents, and Figma/UI screens.
• Must be able to understand HLD/LLD documents and API specifications and perform manual API testing based on business logic.
• Must have BE/BTech/MTech/MBA (BSc/BCA alone is not acceptable; with Bsc/BCA candidates must have a relevant postgraduate degree MCA/MTech)

Preferred:

• ISTQB Advanced Test Manager or equivalent is preferred

Ideal Candidate:

• 8 + years’ experience in UAT, with at least 2 National-level e-Governance solutions / Enterprise platforms / Marketplace projects.
• Proficiency in test planning, execution oversight, acceptance criteria definition, defect triage, regression cycle management.
• Proficient in understanding business requirements by going through BRDs, User Stories, Figma screens to define test scenarios and test cases.
• Ability to analyze high level and low-level design documents, API specifications to identify the business logic developed and create test cases to test the APIs.
• Hands-on experience of defining high quality test scenarios, test cases with ability to review and guide the test team members in doing the same.
• Education/Certifications: B.E./ B.Tech. / MTech/ MCA/ MS (Computer Science/IT)/ISTQB Advanced Test Manager or equivalent required.

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.