Associate Product Manager - AI Products

Qure.ai; Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Qure.ai in Bangalore, India, is seeking an Associate Product Manager to turn advanced AI capabilities into real-world health products. This is a hands-on, technical role working with AI research, engineering, and clinical teams to define requirements and drive product validation and deployment.

You will own the product lifecycle from concept to launch, shape clinical workflows around AI outputs, coordinate data strategies, and support regulatory submissions.

Qualifications

• Bachelor's degree in Engineering, CS, Tech, or related quantitative field.
• 1-3 years in product management or technical roles (AI/ML, data science, software Eng, healthtech).
• Familiarity with machine learning fundamentals and evaluation metrics (precision, recall, AUROC).
• Experience with Python, SQL or AI-assisted development tools is valued.

Responsibilities

• Translate AI concepts into defined products with requirements and milestones.
• Evaluate model performance across datasets and imaging characteristics.
• Coordinate data acquisition, annotation, and quality control.
• Design and run clinical validation and regulatory studies.
• Design clinical workflows around AI outputs and care pathways.
• Coordinate deployment readiness and go-live activities.
• Monitor model performance, data drift, and real-world issues.
• Collaborate with R&D to prioritize model-improvement needs.
• Prototype solutions using Python/SQL on datasets.

Skills

Bachelor's in Eng/CS

1-3 years PM/AI

AI/ML understanding

Python/SQL

Structured problem solving

Entrepreneurial mindset

Communication & collaboration

Education

Bachelors in Engineering/CS/Tech

Tools

Python

SQL

Claude Code

Codex

Job description

Location:

Bangalore, India

Experience:

1-3 years

Type:

Full Time Employee

Department:

Product

About Us

Qure.ai is a global healthtech company using artificial intelligence to improve disease detection and patient outcomes at scale. Our solutions are deployed across hospitals, diagnostic networks, and public health programs worldwide. Today, our technology has impacted 40M+ lives across 105+ countries, deployed across 5,200+ sites, and powered by one of the worlds largest real-world medical imaging datasets. With 26 FDA-cleared indications, we are helping shape the future of AI-driven healthcare.

The Opportunity

We're looking for an Associate Product Manager to help build AI products from early-stage models to clinically validated, deployed, and continuously improving solutions. This is a technical, hands-on builders role. Youll work closely with AI research, engineering, and clinical teams to define product requirements, evaluate model performance, drive validation studies, design clinical workflows, and bring new AI capabilities into real-world clinical practice. If you enjoy working with data, understanding how AI models behave, solving ambiguous problems, and turning experimental capabilities into real-world products, this role is for you.

What Youll Own & Drive

• Take AI products from concept toward launch. Translate early AI capabilities into well-defined products, establishing requirements, success criteria, performance expectations, and milestones.
• Evaluate model performance and investigate failures. Analyze performance across datasets, patient subgroups, and imaging characteristics. Investigate false positives, false negatives, and failure patterns to identify opportunities for improvement.
• Drive dataset development and quality. Define data requirements, identify gaps in dataset representation, and coordinate data acquisition, curation, annotation, and quality control.
• Design and execute clinical validation and regulatory studies. Support study design, define evaluation datasets and protocols, coordinate ground-truthing, and perform analyses supporting clinical validation and regulatory submissions.
• Design clinical workflows around AI outputs. Understand where AI findings fit into care pathways and build downstream workflows that translate model outputs into meaningful clinical actions.
• Drive deployment readiness and rollouts. Define configuration, integration, and testing requirements with engineering teams, and coordinate product deployment and go-live activities.
• Monitor model and site performance. Track sensitivity, specificity, false-positive rates, and data drift. Investigate performance degradation and translate real-world observations into product improvements.
• Work with R&D to improve models. Translate validation findings and field feedback into prioritized model-improvement requirements, balancing technical performance, clinical utility, and development effort.
• Get hands-on with data and prototypes. Use Python, SQL, and AI-assisted coding tools such as Claude Code or Codex to analyze datasets, investigate issues, and prototype solutions independently.

Core Skills Required

• Education: Bachelors degree in Engineering, Computer Science, Technology, or a related quantitative field.
• Experience: 1-3 years in product management, AI/ML, data science, software engineering, healthtech, or another technical/analytical role. Prior PM experience is not mandatory for candidates with strong technical and problem-solving skills.
• AI/ML understanding: Familiarity with machine learning fundamentals, model evaluation, training and validation datasets, and metrics such as precision, recall, sensitivity, specificity, and AUROC.
• Technical and analytical fluency: Comfortable working with datasets, performing analyses, and interpreting quantitative results. Experience with Python, SQL, or AI-assisted development tools is highly valued.
• Structured problem-solving: Ability to break ambiguous technical and product problems into actionable plans and drive them toward resolution.
• Entrepreneurial mindset: Comfortable operating in ambiguous, early-stage environments, experimenting, and building solutions without established playbooks.
• Communication and collaboration: Ability to communicate clearly and work effectively across R&D, engineering, clinical, and product teams.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.