11+ Product intelligence Jobs in Delhi, NCR and Gurgaon | Product intelligence Job openings in Delhi, NCR and Gurgaon

Review Criteria

• Strong Product Manager Profiles
• 7+ 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
• Must have a 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
• Top/Well known Product companies (preferably in HealthTech)
• CTC includes 20% variable
• HealthTech exposure is a must (current or past experience)
• Its 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 visionary and technically savvy Principal Product Manager to lead the strategy, development, and growth of our Identity Resolution products, including the HCP Graph, probabilistic and deterministic identity solutions, and data partner integrations. This role sits at the intersection of data, product, and healthcare advertising, giving you the opportunity to shape how company identifies, unifies, and activates HCP audiences across the ecosystem. You will define the future of identity in healthcare marketing and play a pivotal role in building products that maximize both privacy compliance and advertiser ROI.

Key Responsibilities-

Product Strategy & Vision:

• Define and evangelize the vision for company's identity resolution products and HCP data graph.
• Build a product roadmap that balances technical innovation, market differentiation, and business impact.
• Conduct competitive research and explore emerging identity technologies to ensure company remains at the cutting edge of HCP data solutions.

Product Development & Execution:

• Lead end-to-end product lifecycle: ideation, requirement definition, development, launch, and iteration.
• Collaborate with engineering and data science teams to design scalable identity solutions leveraging first-party, third-party, and probabilistic signals.
• Author high-quality PRDs, user stories, and acceptance criteria, ensuring clarity for cross-functional teams.
• Drive integration strategy with data partners, DSPs, and other activation channels to expand company's reach and addressability.

Data & Privacy Expertise:

• Develop solutions that unify HCP identities across platforms while maintaining strict compliance with privacy regulations like HIPAA, GDPR, CCPA, and industry-specific rules.
• Ensure high identity match rates, data quality, and robust governance frameworks.
• Explore advanced techniques such as probabilistic linking, email-based resolution, and graph modeling to continuously improve audience unification.

User Experience & Enablement:

• Collaborate with UX designers to simplify complex workflows for internal teams and clients managing HCP audiences.
• Provide clear product documentation, training, and enablement materials to maximize adoption.

Performance & Optimization:

• Define metrics for success (match rate, segment addressability, HCP coverage, platform adoption) and continuously optimize solutions.
• Use data-driven insights to iterate on products, identify gaps, and enhance identity resolution accuracy and reliability.

Ideal Candidate

• Bachelor’s or Master’s in Computer Science, Engineering, Data Science, or related field.

Experience:

• 7+ years in product management, with significant experience owning data-centric products, preferably identity resolution, CDPs, DMPs, or large-scale data systems in AdTech/MarTech.
• Proven track record in data integration, audience unification, or identity resolution products.

Skills & Expertise:

• Strong knowledge of identity systems: deterministic and probabilistic matching, identity graphs, email-based resolution, hashed identifiers, device IDs, and consent management.
• Deep understanding of healthcare and HCP data ecosystems is a plus.
• Ability to translate complex technical solutions into clear product strategy and business impact.
• Exceptional stakeholder management, communication, and leadership skills.
• Strong analytical mindset with experience in SQL, data modeling, or analytics.
• Comfort operating in a fast-paced, high-growth environment and leading cross-functional initiatives.

Nice-to-Haves:

• Hands-on experience with machine learning for audience modeling or lookalike targeting.
• Familiarity with privacy-enhancing technologies, clean rooms, and data encryption.
• Experience building and scaling HCP identity graphs or multi-source data unification platforms.

Job Description:

1.     Machine Learning Development & Deployment

·      Design and implement supervised and unsupervised models for predictive analytics, including churn prediction, demand forecasting, renewal risk scoring, and cross sell/upsell opportunity identification.

·      Translate business problems into ML frameworks and production solutions that improve efficiency, revenue, or customer experience.

·      Build, optimize, and maintain ML pipelines using tools such as MLflow, Airflow, or Kubeflow.

2.     Cross-Functional ML Use Cases

·      Partner with teams across Sales (e.g., lead scoring, next-best action), Customer Service (e.g., case deflection, sentiment analysis), Finance (e.g., revenue forecasting, fraud detection), Supply Chain (e.g., inventory optimization, ETA prediction), and Order Fulfillment (e.g., delivery risk modeling) to define impactful ML use cases.

·      Develop domain-specific models and continuously improve them using feedback loops and real-world performance data. 3.

3.      Model Governance and MLOps

·      Ensure robust model monitoring, versioning, and retraining strategies to keep models reliable in dynamic environments.

·      Work closely with DevOps and Data Engineering teams to automate deployment, CI/CD workflows, and cloud-native ML infrastructure (AWS/GCP/Azure).

4. Data Engineering and Feature Architecture

·      Collaborate with data engineers to define feature stores, data quality checks, and model-ready datasets on platforms like Snowflake or Databricks.

·      Perform feature selection, transformation, and engineering aligned with each domain’s business logic. 5. Communication & Stakeholder Collaboration

·      Present technical insights and model results to business and executive stakeholders in a clear, actionable format.

·      Work with Product Owners and Program Managers to scope, prioritize, and plan delivery of ML projects.

Qualifications:

Required

• Bachelor’s or Master’s degree in (e.g., Computer Science, Engineering, Statistics, Mathematics)

• 4+ years of experience in machine learning, data science.

• Proficiency in Python, XGBoost, PyTorch, TensorFlow, or similar.

• Experience deploying models into production using ML pipelines and orchestration frameworks.

• Strong understanding of data structures, SQL, and cloud platforms (e.g., AWS SageMaker, Azure ML, or GCP Vertex AI).

• Hands-on experience in implementing machine learning algorithms such as Random Forest, XGBoost, Logistic Regression, and Deep Learning techniques including Neural Networks (ANN, CNN)

Preferred:

• Experience supporting business functions such as Finance, Sales, or Operations with ML use cases.

• Familiarity with MLOps tools (MLflow, SageMaker Pipelines, Feature Store).

• Exposure to enterprise data platforms (e.g., Snowflake, Oracle Fusion, Salesforce).

• Background in statistics, forecasting, optimization, or recommendation systems.

🚀 We’re Hiring! | AI/ML Engineer – Computer Vision

📍 Location: Noida | 🕘 Full-Time

🔍 What We’re Looking For:

• 4+ years in AI/ML (Computer Vision)

• Python, OpenCV, TensorFlow, PyTorch, etc.

• Hands-on with object detection, face recognition, classification

• Git, Docker, Linux experience

• Curious, driven, and ready to build impactful products

💡 Be part of a fast-growing team, build products used by brands like Biba, Zivame, Costa Coffee & more!

Visual Treat Creator aka Designer

Work Areas:

Convert ideas into visual treats. These visual treats (output) can be in the form of:

• Web Related Banners
• Emailers
• Logo
• Mascot
• Outdoor Media
• Social Media Creatives
• Paid Ads Creatives
• Social Media Covers
• Presentations
• E-Books
• PDFs

Must Have

• Less of a copy cat but more of a cool cat
• Less of Gyan/ talks and more of hand-on experience
• High on power of observation and story visualisation. Someone who sees art/design in everything around
• Understanding of disruptive themes, art work and agency level brand centric manifestations
• Nothing less than global standards while working on any creative/ viral marketing areas
• 
  
• Known to deliver cool work rather than keeping cool looks only
• Understanding of graphics / design tools at a professional level
• Hand on experience – Photoshop, Corel, Illustrator with brain of his/her own

Yes, We are allowing working from home for most of the profiles and maintaining all precautions in the office also.

Role and Responsibilities:

• As a backend developer, your primary focus will be the development of all server-side systems
• A basic understanding of front-end technologies is necessary as well. You will test, secure and deploy your code
• Work experience on Node.js is a must along with a server-side framework like Express.js
• Strong proficiency in JavaScript
• Writing reusable, testable, and efficient code
• Experience and proficiency integrating with REST APIs
• Understanding of scalable computing systems, software architecture, data structures, and algorithms
• Experience in working with databases such as MongoDB, Redis, Elasticsearch, etc.
• AgileScrum development cycle understanding.

Skills Required:

• At least 2 years of experience developing backends using NodeJS should be well versed with its asynchronous nature & event loop, and know its quirks and workarounds.
• Good knowledge of MongoDB(Must) & any other MySQL Database.
• Good knowledge of Redis, its data types, and their use cases.
• Experience developing and deploying REST APIs.
• Knowledge and working experience in Cloud environment - AWS or Azure
• Good knowledge of Unit Testing and available Test Frameworks.
• Should be a fast learner and a go-getter without any fear of trying out new things