Every TavMind team member has spent years in B2B sales, revenue operations, or AI engineering. We built the platform we wished we had.
Alex has spent 12 years at the intersection of enterprise sales and data strategy. Before founding TavMind, he served as VP of Sales at Segment (acquired by Twilio) and Head of GTM at a Series B analytics startup, where he built and scaled revenue teams from $2M to $28M ARR. He founded TavMind after experiencing firsthand how much pipeline value is lost when revenue teams lack timely, accurate signal about buyer intent.
"We kept buying intent tools and getting data. What we actually needed was decisions — and that's what TavMind delivers." — Alex Casals
Sarah is an ML engineer with deep expertise in NLP, time-series modeling, and data pipeline architecture. She previously led the data science platform team at Clearbit, where she built the systems that processed 800 million account enrichment events per month. At TavMind, she architects the signal aggregation engine, custom ML scoring models, and the real-time data infrastructure that powers the platform.
Sarah holds an MS in Computer Science from Carnegie Mellon and has published research on behavioral prediction in B2B buying contexts.
Formerly enterprise sales at Demandbase and 6sense. Marcus manages TavMind's customer acquisition and expansion motion, with a focus on mid-market and enterprise revenue teams.
Rachel brings 8 years of B2B SaaS product management from companies including Drift and Chorus. She leads TavMind's product roadmap with a relentless focus on workflow integration and time-to-value.
James leads TavMind's engineering team, overseeing platform reliability, integrations, and the data infrastructure that processes signals across 30 million B2B accounts globally.
Priya drives onboarding and retention for TavMind's customer base. With a background in RevOps consulting, she helps revenue teams build the internal processes that extract maximum value from the platform.
David manages TavMind's data partnerships and signal sourcing strategy. He spent 6 years at ZoomInfo building data quality frameworks before joining TavMind to architect the intent data layer.
Nathan leads TavMind's go-to-market marketing function, including demand generation, content strategy, and brand positioning. He previously built the marketing function at two B2B SaaS startups from zero to $10M ARR.
TavMind is growing its team across engineering, sales, and customer success. We're looking for people who care deeply about the quality of their work and want to build something that fundamentally changes how B2B companies grow revenue.
Open roles include: Senior ML Engineer, Senior AE (Enterprise), Solutions Engineer, and RevOps Analyst.