Principal Product Manager

Product Management - Data Science & AI

About Doceree

Doceree is the world's only AI-powered Operating System for healthcare marketing. We aim to be a catalyst for change, improving healthcare by enabling more meaningful interactions with HCPs. Our patented AI brings deeper context to every HCP touchpoint—understanding who HCPs are, what they're exploring, how they engage, and when they make decisions, all in a privacy-compliant way. With this enriched context, every message becomes clearer, more relevant, and more likely to drive better healthcare outcomes.

In our journey of 5 years, we have earned four patents for innovation and even won a Silver award at the Cannes Lions, one of the world's top advertising honors. Over the years, we've also had the opportunity to work with 115+ pharma companies and collaborate with 30+ media publications, 150+ EHR platforms, 2,000+ publisher networks, and 35+ hospitals and health systems. Our ecosystem connects us with more than 6 million verified doctors worldwide. Today, Doceree operates across 25+ countries, with teams based in New Jersey, London, and India.

Our Core Belief

Technology can connect the fragmented healthcare ecosystem to deliver information when it is most needed to improve patients outcomes.

We are expanding our footprints across the globe and enhancing our services, offering, and developing new products and solutions to address the unmet needs of industry. Doceree is operating in 22 countries currently with offices in US, UK and India.

Website http://www.doceree.com/

Social media link https://www.linkedin.com/company/doceree/

About The Job

Position Title: Product Management - Data Science & AI (Title shall depend on competencies and experience)

Department/Function: Product & Engineering

Job Scope: Global

Location: Noida Sec 129

Work Setting: WFO

Key Responsibilities

Product Strategy & Vision

• Define and evangelize the vision for the company's AI products, spanning ML models, generative AI features, and intelligent automation.
• Build a product roadmap that balances technical innovation, model performance, market differentiation, and business impact.
• Conduct competitive research and track emerging AI techniques (LLMs, multimodal models, agents, RAG, fine-tuning) to keep the product portfolio at the cutting edge.
• Make build-vs-buy decisions across foundation models, third-party APIs, and in-house model development.

Product Development & Execution

• Lead the end-to-end product lifecycle: ideation, requirement definition, model/feature development, launch, and iteration.
• Collaborate with engineering and data science teams to design scalable AI systems leveraging first-party data, foundation models, and human feedback loops.
• Author high-quality PRDs, user stories, and acceptance criteria—including model evaluation criteria, quality bars, and guardrails—ensuring clarity for cross-functional teams.
• Drive integration strategy with data pipelines, MLOps infrastructure, and downstream applications to operationalize AI capabilities at scale.
• Define and manage the data strategy that fuels training, evaluation, and continuous improvement of models.

Responsible AI & Governance

• Develop solutions that deliver AI value while maintaining strict compliance with privacy and data regulations such as GDPR, CCPA, and industry-specific rules.
• Establish frameworks for model safety, fairness, bias mitigation, explainability, and human oversight.
• Ensure robust governance around data usage, model versioning, auditability, and responsible deployment.
• Explore advanced techniques such as retrieval-augmented generation, evaluation harnesses, and guardrail systems to continuously improve reliability and trust.

User Experience & Enablement

• Collaborate with UX designers to simplify complex AI-driven workflows and design for uncertainty, transparency, and user trust.
• Provide clear product documentation, training, and enablement materials—including prompt guidance and model behavior expectations—to maximize adoption.

Performance & Optimization

• Define metrics for success (model accuracy/quality, latency, cost per inference, adoption, task success rate, user satisfaction) and continuously optimize solutions.
• Use data-driven insights and offline/online evaluation to iterate on products, identify gaps, and enhance model performance and reliability.
• Balance model quality, cost, and speed to hit business and user experience targets.

Qualifications: Experience, Skills & Education

• Bachelor's or master's in Computer Science, Engineering, Data Science, or a related field.

Experience:

• 5+ years in product management, with significant experience owning AI/ML or data-centric products.
• Proven track record shipping products powered by machine learning, generative AI, or large-scale data systems.

Skills & Expertise:

• Strong understanding of AI/ML concepts: supervised/unsupervised learning, LLMs, embeddings, RAG, fine-tuning, evaluation methodology, and model deployment.
• Ability to translate complex technical capabilities 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.
• Familiarity with MLOps, experimentation frameworks, and A/B testing.

Nice-to-Haves:

• Hands-on experience with prompt engineering, model fine-tuning, or building agentic/LLM-based applications.
• Familiarity with privacy-enhancing technologies, responsible AI frameworks, and data governance.
• Experience building and scaling AI platforms or multi-model systems in production.

Doceree India Benefits

Below are the competitive benefits that will be provided to the selected candidates basis their location.

• Competitive Salary Package
• Generous Leave Policy
• Flexible Working Hours
• Performance-Based Bonuses
• Health Care Benefits

Doceree DEI Vision & Mission

Doceree DEI (Diversity, Equity & Inclusion) is to create and sustain a one team culture globally with a mission to provide equal opportunity to people from diverse social, cultural, physical and psychological backgrounds and do not discriminate on the basis of race, colour, religion, national origin, sex, age, citizenship status, disability status, genetic information, sexual orientation, or gender identity or expression of an otherwise qualified individual, or membership in any other class protected by applicable law.

Doceree fosters an inclusive culture by inculcating a sense of belonging within our ONE team through appropriate behaviours, policies and systems, while also being fair to one and all.

To support this Doceree has taken formal strides with a 5C model and 4E's pledge, to ensure, encourage and exhibit our commitment to DEI, and move towards our DEI vision. Please click to know more details - Doceree Progresses Diversity, Equity and Inclusion in the Workplace –

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