Product Lead- Data Scientist
Mumbai, Maharashtra, India
- Remote-first
- Website
- @weekdayworks 𝕏
- Search
Weekday
At Weekday, we help companies hire engineers who are vouched by other software engineers. We are enabling engineers to earn passive income by leveraging & monetizing the unused information in their head about the best people they have worked...This role is for one of the Weekday's clients
Min Experience: 8 years
Location: Mumbai
JobType: full-time
We are seeking a visionary Product Lead to spearhead the development and growth of our AI/ML and data science product suite. This role blends deep technical expertise with strategic product leadership to deliver high-impact solutions in the Business Intelligence and analytics domain. You’ll be responsible for shaping product strategy, leading cross-functional execution, and driving innovation from concept to market success.
Requirements
Key Responsibilities
Strategic Product Leadership
- Define and own the product strategy for AI/ML-powered solutions that align with customer needs and market opportunities.
- Develop product roadmaps that position offerings competitively within the data analytics landscape.
- Collaborate cross-functionally with Engineering, Data Science, Marketing, and Go-to-Market teams to ensure execution excellence.
Technical Product Management
- Oversee the lifecycle of ML-driven intelligence products solving complex enterprise challenges.
- Integrate cutting-edge AI technologies including LLMs, NLP, and agent frameworks.
- Promote best practices in model development, data architecture, and deployment.
- Drive innovation using advanced techniques such as vector databases, embedding-based search, and deep analytics.
Market and Client Focus
- Conduct deep market analysis and competitive research to identify emerging trends and opportunities.
- Translate complex technical capabilities into clear business value and customer benefits.
- Lead client engagement sessions to refine offerings and align product-market fit.
- Ensure measurable impact through adoption, ROI tracking, and use case expansion.
Team and Stakeholder Leadership
- Build and mentor high-performing product and technical teams with a focus on excellence and innovation.
- Establish scalable processes for collaboration, knowledge sharing, and continuous learning.
- Champion the adoption of emerging technologies and agile methodologies across teams.
Business Impact
- Support revenue growth and P&L performance of the AI/ML product portfolio.
- Define and monitor success metrics including usage, retention, and revenue contribution.
- Lead product launches and execute go-to-market strategies in partnership with Sales and Marketing.
Required Qualifications
Technical Expertise
- Advanced degree (Master’s/PhD) in Data Science, Computer Science, Statistics, or a related discipline.
- 8–12 years of experience in data science, machine learning, and technical product leadership.
- Proficiency in Python or R, SQL, and leading ML libraries and frameworks.
- Strong foundation in NLP, LLMs, and modern AI architecture.
- Experience with cloud platforms, big data technologies, and scalable ML infrastructure.
Product Leadership
- 5+ years of product management experience, with at least 3 years in senior or leadership roles.
- Demonstrated success in building, launching, and scaling B2B data science or analytics products.
- Deep understanding of BI, analytics, and the enterprise software landscape.
- Strong capabilities in product visioning, roadmap creation, and cross-functional coordination.
Business & Communication Skills
- Strategic thinking with an ability to influence C-level executives and business stakeholders.
- Proven track record of working in fast-paced, high-growth environments.
- Excellent communication and storytelling skills to explain complex concepts clearly.
Preferred Qualifications
- Experience with vector databases, MLOps, and production-level ML systems.
- Background in startup or high-growth tech environments.
- Familiarity with enterprise software sales and customer success.
- Experience driving product monetization strategies or leading successful product exits.
- Knowledge of data governance, compliance, and privacy regulations.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture Big Data Business Intelligence Computer Science Data Analytics Data governance Engineering LLMs Machine Learning ML infrastructure ML models MLOps NLP PhD Privacy Python R Research SQL Statistics
Perks/benefits: Career development Startup environment
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