AI Product Head/Partner (Kochi)

Job Description

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 Masters 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 Were 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 lifecyclefrom handling complex website architectures and energetic 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 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 Masters 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 Were 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 lifecyclefrom handling complex website architectures and energetic 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

Keyskills :
Web ScrapingNLPPythonSQLSnowflakeAWSGCPLLMsStructured Data ExtractionRegex