Syntryx OSINT Platform Product Buildout One-Pager

Syntryx

Director, Product Manager

Context

Led product and engineering for Syntryx, an open-source intelligence platform for multi-channel web and behavioral data, managing an 11-person team, serving 100+ enterprise clients, driving approximately $2M ARR, and operating a PostgreSQL-backed platform with more than 2B crawled pages, high-throughput ingest, machine learning, NLP, clustering, search analytics, and semantic graph visualization.

Problem

Enterprise customers needed to understand web-scale behavioral and competitive intelligence across domains, keywords, ads, links, search-ranking factors, and multi-channel web activity. Existing tools were fragmented: crawlers, search analytics, SEO tools, ad analysis, link analysis, and reporting workflows often operated as disconnected point solutions rather than a unified intelligence platform.

What I did

• - Led an 11-person product and engineering team responsible for Syntryx platform delivery, customer outcomes, and roadmap execution.
• - Built and operated a PostgreSQL-backed OSINT platform containing more than 2B crawled web pages.
• - Designed high-throughput crawling and ingest workflows for multi-channel web and behavioral data.
• - Applied NLP, machine learning, clustering, and factor analysis to identify relationships across domains, keywords, ads, links, pages, and search-ranking signals.
• - Reverse-engineered search-ranking factors by analyzing large-scale web structure, content features, link patterns, and keyword relationships.
• - Developed graph visualizations of semantic relationships across web entities, helping customers reason about domains, keywords, ads, links, and topical clusters.
• - Translated complex analytics into customer-facing product capabilities for enterprise clients.
• - Balanced product management, engineering leadership, customer delivery, analytics design, and revenue-focused roadmap decisions.
• - Built product workflows that connected crawling, storage, analysis, visualization, and reporting into a usable intelligence platform.
• - Developed early, durable expertise in schema design, data pipelines, entity relationships, search systems, ML-assisted inference, graph reasoning, and technical product leadership.

Outcome

• - Led a product and engineering team serving more than 100 enterprise clients.
• - Helped drive approximately $2M ARR through enterprise OSINT and web-intelligence platform delivery.
• - Built and operated a platform with more than 2B crawled pages in PostgreSQL-backed storage and analytics workflows.
• - Created machine-learning and NLP-driven analysis of domains, keywords, ads, links, and search-ranking factors.
• - Pioneered graph visualization of semantic relationships across web and search entities.
• - Established a foundation for later work in security analytics, device-cloud research, schema normalization, AI enrichment, graph-based reasoning, and product-security evidence systems.
• - Created a portfolio story showing that the user's AI/security work is grounded in earlier hands-on experience building large-scale data platforms, not just recent AI tooling.

Evidence

• - Led an 11-person product and engineering team.
• - Served 100+ enterprise clients.
• - Drove approximately $2M ARR.
• - Built and operated a PostgreSQL OSINT platform with more than 2B crawled pages.
• - Used NLP, ML, clustering, and factor analysis to reverse-engineer search-ranking factors.
• - Built graph visualizations of semantic relationships across domains, keywords, ads, and links.
• - Source-backed from uploaded resume; exact internal architecture, customer names, proprietary algorithms, datasets, and financial records are omitted.