Openprise is a San Mateo-based enterprise SaaS company that builds a no-code RevOps Data Automation Cloud. Its platform handles the unglamorous plumbing behind revenue teams - cleansing, deduping, enriching, scoring, routing, and unifying B2B data across Salesforce, Marketo, HubSpot, Eloqua, Pardot and other GTM systems - so marketing, sales and ops teams can stop firefighting spreadsheets and start pulling levers.
Mark Godley is the CEO of LeadGenius, a Berkeley-based B2B data intelligence platform that combines AI with human computation to deliver precision contact data for enterprise go-to-market teams. A self-described C-suite startup junkie with 30 years of SaaS expertise, Godley joined LeadGenius in 2017 — first as President, then stepping into the CEO role — and has driven the company's pivot from a service-heavy model to a scalable SaaS platform serving 400+ enterprise customers across 42 countries including Google, Microsoft, Amazon, IBM, and Autodesk. Under his leadership, LeadGenius has distinguished itself as the first crowdsourcing company to set a minimum wage tied to the cost of living in each country of operation, building a global decentralized workforce of data researchers while remaining GDPR and CCPA compliant.
Ed King is the Founder and CEO of Openprise, a RevOps data automation platform headquartered in San Mateo, California. A mechanical engineer by training with an MBA from UC Berkeley, Ed spent over a decade in enterprise middleware and product management roles at IBM, Oracle, Qualys, and Axway before founding Openprise in 2013. He built the company to solve the data chaos he witnessed firsthand in go-to-market operations — enabling non-technical RevOps teams to automate complex data workflows without writing a single line of code. Under his leadership, Openprise has raised $57.93M in total funding, including a $25M Series B led by Morgan Stanley Expansion Capital in March 2024, and has been recognized as an Inc. Magazine Best Workplace three consecutive years.
Ananth Packkildurai is a principal engineer, newsletter editor, angel investor, and advisor at the intersection of data engineering and community building. He founded Data Engineering Weekly, a Substack newsletter with 50,000+ subscribers covering vendor-neutral data engineering topics across 267+ issues. He built data pipeline observability at Slack during its hyper-growth years, shaped next-generation analytical platforms at Zendesk, and created Schemata - one of the earliest open-source data contract frameworks. He currently serves as Principal Engineer at Mural, while his newsletter and podcast continue to inform tens of thousands of data professionals worldwide.
Shreya Shankar is a PhD candidate at UC Berkeley's EPIC Lab building AI-powered data systems that are reliable and cost-efficient. A Stanford-trained engineer who worked at Google Brain and Meta, she bridges academic research and industry practice through DocETL (an open-source LLM data processing system with 3.5K+ GitHub stars used by 30+ S&P 500 companies), an O'Reilly book on AI evals co-authored with Hamel Husain, and a Maven course that has reached 4,500+ professionals. She is on the CS faculty job market and gave a faculty candidate talk at Carnegie Mellon in March 2026.