AI & Web Data Product Head / Partner (WFH)
Experience: 7 to 15 Years
Location: Remote
Mode of Engagement: Full-time / Consultant
No. of Positions: 1 to 2
Educational Qualifications: Degree or Master’s in Computer Science, Data Science, Engineering, or a related technical/business field.
Technical Expertise: LLMs for Structured Data Extraction, Web Scraping (Scrapy, Playwright), Regex, NLP, Data Pipelines, Python, SQL, Snowflake, AWS, GCP.
Industry: AI / DATA / IT-ITES / Web Data Acquisition & Extraction
Notice Period: Immediate Joiners Preferred
What We’re Looking For
- Proven experience in product management with a strong focus on automated web data extraction, large-scale scraping frameworks, and unstructured web-to-structured data pipelines.
- Experience in taking high-volume web data ingestion or parsing products to market with proven commercial success, ideally with a product valuation ranging between $2M and $25M.
- Product technical expert with a proven track record of IP-ing and commercializing at least one proprietary web extraction engine, parsing tool, or AI/ML data product.
- Demonstrated hands-on experience managing the full product lifecycle—from handling complex website architectures and dynamic content to successful scaling.
- Strong technical expertise in web scraping architectures, proxy management, anti-bot bypassing, and cloud data warehouses (AWS, GCP, Snowflake).
- Deep business acumen with exposure to monetizing data, API-as-a-product GTM strategies, and stakeholder management.
- Exceptional communication skills with the ability to translate complex web scraping, parsing accuracy, and data quality metrics into clear business value.
Responsibilities
- Define and articulate the strategic vision for Web Data Extraction and Processing products, aligned with organizational goals and evolving enterprise data demands.
- Conduct market research, user research, and competitive analysis to identify technology gaps and opportunities for web automation.
- Develop and maintain comprehensive product roadmaps, balancing extraction accuracy, delivery success rates, customer needs, and business value.
- Lead the end-to-end product lifecycle and team—from concept, data labeling, development, and launch to GTM execution and scaling.
- Ensure all product releases meet functional, technical, compliance, and performance standards while maintaining high parsing accuracy.
- Collaborate with engineering teams to design scalable data pipelines, resilient scraping networks, and LLM-powered extraction frameworks.
- Own and execute GTM strategies, including API positioning, developer documentation, and customer feedback loops.
- Drive commercial success through P&L ownership, ROI analysis, and product valuation growth.
- Manage cross-functional stakeholders and foster collaboration across engineering, sales, marketing, and leadership teams.
- Stay ahead of emerging AI/ML parsing frameworks, synthetic data generation, and cloud scraping innovations.
Qualifications
- Hands-on expertise in AI-powered Web Data Extraction, including Generative AI for data structuring, DOM-aware extraction, NLP-based entity recognition, and large-scale web scraping.
- Proven ability to IP and launch commercially successful automated web data products that remain actively used by enterprise customers.
- Proficiency in Agile/Scrum methodologies and project management tools such as Jira and Confluence.
- Hands-on experience with Python, SQL, data orchestration tools, and data validation frameworks.
- Product Management certifications (Pragmatic, AIPMM, SAFe) are an added advantage.
- Strong leadership, stakeholder management, and the ability to bridge technical and business teams effectively.
Pay: ₹632,349.87 - ₹2,175,461.39 per year
Benefits:
Application Question(s):
- How many years of hands-on experience do you have with AI-powered data extraction using LLMs, NLP, or Generative AI?
- How many years of experience do you have in Product Management for AI, Data, or Web Data products?
- How many commercially successful AI/Data/Web Data products have you taken from concept to market launch?
- How many years of experience do you have working with Cloud Platforms (AWS, GCP, Azure) for data-intensive products?
- How many years of experience do you have working with Web Scraping frameworks such as Scrapy, Playwright, or Selenium?
- How many years have you worked on Web Data Extraction, Web Scraping, or Data Acquisition products?
- Notice Period (Days)
- Current CTC ( monthly )
Work Location: Remote
