Ed King solved a problem no one wanted to admit existed: enterprise go-to-market data is broken, and the people who feel it most can't fix it without writing code.
He spent 25 years watching it happen - at IBM, at Oracle, at Qualys, at Axway. Conference lead lists arriving with half the fields wrong. Salesforce records that contradict each other. Marketing automation workflows collapsing under the weight of duplicate contacts. The machinery of modern revenue operations, choking on its own inputs. Most people called it a people problem, or a process problem, or someone else's problem. Ed King called it a product gap and started Openprise in 2013 to close it.
The company he built is a no-code data automation platform for go-to-market teams - the RevOps operators, marketing technologists, and sales operations professionals who live inside CRMs and marketing automation platforms like Salesforce, Marketo, and Eloqua. Openprise handles the unglamorous work: data enrichment, deduplication, lead routing, territory management, data quality monitoring, and workflow automation. All without a single line of code. All orchestrated through a drag-and-drop interface that makes what used to require a data engineering team feel like setting up a spreadsheet formula.
King is a mechanical engineer by training - BS and MBA from UC Berkeley, MS from MIT. He is the rare technical founder who spent a long time on the commercial side before starting his own company. By the time he launched Openprise, he had been a VP of Product Marketing multiple times over. He knew what sales and marketing teams actually needed, because he had been the person failing to get it from the tools available at the time.
That insider vantage shaped everything about how Openprise was built. The platform's 300+ pre-built integrations aren't a checkbox - they're the direct result of someone who spent years watching RevOps teams duct-tape together Marketo, Salesforce, data enrichment vendors, and homemade middleware just to route a lead. Openprise replaced all of that with a single orchestration layer, and it did so for a buyer who had no engineering budget or appetite for custom development.
Openprise processes data at the intersection of every system a go-to-market team touches. Where data enters dirty and exits clean. Where leads become accounts. Where the spreadsheet finally dies.
The Series B round in March 2024 - $25M led by Morgan Stanley Expansion Capital, bringing total funding to $57.93M - came as Openprise was expanding into AI-powered automation. The company's AI agent factory lets non-technical users build and deploy AI agents for revenue operations workflows: data scoring models, automated enrichment pipelines, anomaly detection, multi-vendor data waterfall logic. The bet is that AI doesn't make data management simpler on its own - it makes it faster and more capable, but only if the underlying data is clean and well-governed. Openprise provides the infrastructure layer under the AI.
King runs the company from San Mateo, California, and lives in Saratoga. He describes his management philosophy with the word "lazy" - by which he means he hires independent professionals who don't require supervision, who embody the company's values organically, and who are comfortable making decisions without waiting for permission. It sounds contrarian until you look at the results: three consecutive Inc. Magazine Best Workplace awards (2019, 2020, 2021), a 100% employee engagement rate that is well above the average for recognized Best Workplaces, and a company that doubled headcount during the COVID pandemic without losing its culture.
The five values King built Openprise around are not the kind typically found on a conference room wall: Trust, Empathy, Respect, Openness, Commitment. They are listed without corporate gloss, and they appear to be genuinely operational - King has spoken about how they inform hiring, conflict resolution, and the way the company treats existing customers as investments rather than costs. "The easiest sale," he has said, "is to sell more to the same customer." For a company whose product sits in the middle of a customer's entire revenue stack, that's not a platitude. It's a business model.
King built Openprise's annual conference, Open, into what the company calls the #1 RevOps conference - a gathering of marketing operations, sales operations, and RevOps professionals for sessions on data orchestration, go-to-market strategy, and operational automation. The conference reflects King's broader ambition: not just to sell software, but to define and grow the RevOps discipline itself. Openprise publishes research, runs thought leadership content through King's blog and LinkedIn, and produces video series like RevOps Chats that engage practitioners on the mechanics of modern revenue operations.
His YouTube appearances in the RevOps Chats series cover topics like Net Revenue Retention measurement, champion-mover tracking, and how to present data ROI in language a CFO actually responds to. These are not product demos. They are the conversations of someone who has been in the weeds of enterprise go-to-market operations long enough to know which problems are worth talking about and which solutions actually hold up.
What distinguishes King from a generation of data startup founders is the specificity of the problem he chose. He did not build a general-purpose data platform. He did not target IT or data engineering. He built exactly for the RevOps practitioner - the person who manages Salesforce integrations, handles list loads from trade shows, dedups lead records, routes inbound inquiries by territory, and reports pipeline attribution to a CMO. That specificity is why Openprise has attracted Fortune 500 customers and why Morgan Stanley's expansion capital arm chose to lead the Series B rather than a traditional SaaS growth fund.
Twelve years after founding, King is still running the company he started. In an era when founders exit, get replaced, or get distracted by adjacent markets, that continuity is itself a data point. Openprise is not a pivot or a rebrand. It is the same thesis, refined, scaled, and now layered with AI capabilities that its original architecture was arguably designed to accommodate all along.
Ed King's approach to management: hire people who don't need managing. "Lazy management" is the high compliment - it means the team is so capable, so aligned with these values, that the CEO can step back and let the work happen.