Ai product head/partner

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 $2 M and $25 M.
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.