🔵 Bigeye is hiring a VP of Product! As Vice President of Product, you will define and execute Bigeye’s product vision. Reporting directly to the CEO and serving as a core member of the executive team, you’ll lead our efforts to define a new category in enterprise AI trust, shaping company product strategy, product-market fit, and growth direction. You’ll lead a multidisciplinary product organization spanning product management, design, and strategy - and you’ll serve as a public voice for Bigeye’s vision through keynotes, customer presentations, and thought leadership. Full job description: https://lnkd.in/evtTdKpr
Bigeye
Software Development
San Francisco, CA 7,505 followers
Enterprise-grade data observability for modern and legacy data stacks
About us
Bigeye is the data observability platform for large enterprises. Only Bigeye brings together data observability, end-to-end lineage, and scalability and security to give enterprise data teams unmatched insight into the reliability of data powering their business—no matter if it's on-prem, in the cloud, or a hybrid architecture. Leading data driven enterprises such as USAA, Zoom, Hertz, Cisco and Freedom Mortgage use Bigeye to find and fix data issues, improve data trust and ensure the data powering their business stays reliable by default.
- Website
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https://www.bigeye.com/?utm_campaign=LinkedIn&utm_source=linkedin&utm_medium=social
External link for Bigeye
- Industry
- Software Development
- Company size
- 11-50 employees
- Headquarters
- San Francisco, CA
- Type
- Privately Held
- Founded
- 2019
- Specialties
- Data Analytics, Data Management, Data Engineering, Data Science, AI, ML, Data Quality, Data Observability, Data Reliability, and Data Reliability Engineering
Locations
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Primary
Get directions
San Francisco, CA 94014, US
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Get directions
New York, NY 10025, US
Employees at Bigeye
Updates
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AI leaders aren’t guessing their way to success—they’re executing with strategy, structure, and speed. Join this session to explore the findings from Lessons from the Leading Edge, BARC’s latest global study of 421 organizations (Sponsored by Bigeye). Learn what separates top AI performers from the rest, how they deliver real outcomes, and what lessons you can apply to accelerate your own AI initiatives. In this webinar you'll: - Get practical insights drawn from over 400 enterprise AI projects worldwide. - Learn directly from industry analysts who have tracked AI innovation leaders for two years. - Walk away with actionable strategies to improve AI delivery, governance, and ROI. Register Now: https://lnkd.in/eU64ERdA
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A single AI agent might access dozens of datasets and make hundreds of decisions per minute. Without purpose-built infrastructure, even organizations with strong traditional governance in place find themselves flying blind. ❌ Traditional: Humans make deliberate queries one at a time ✅ AI: Systems make thousands of decisions per minute ❌ Traditional: Users ask permission before accessing sensitive data ✅ AI reality: Agents access datasets automatically ❌ Traditional Governance: Broken by the speed of AI agents ✅ AI Trust: Built specifically to manage and control AI agent data access
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Data observability doesn't have to feel overwhelming. Our brand new bigIQ training playlist breaks everything down into a clear learning path: Start with the basics → Build your monitoring foundation → Add advanced techniques → Handle issues like a pro. Your team gets confident, your data gets reliable. Access the training here: https://lnkd.in/eGRhzhgV or from our Docs pages 👉 docs.bigeye.com
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When an enterprise customer comes to you with a tough data quality problem, you have two choices: build a one-off solution for just them, or create something that transforms your platform for everyone. At Bigeye, we chose the latter when a major financial institution approached us with sophisticated requirements that our existing tools didn't fully address. What emerged from that partnership wasn't just another feature, it was our Advanced Data Quality suite, including features like customizable data quality dimensions, join rules, and asset linking that now serve customers across a variety of industries. Here's the inside story of how we turned one customer's urgent need into capabilites everyone could use. https://lnkd.in/e59kTvhX
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What a great night! Huge thanks to our speakers Gurpreet Kochar and Phanii Pydimarri who joined Egor Gryaznov for a panel discussion. And huge thanks to all of YOU who attended. We'll be back in Texas on December 3rd (this time in Houston) for our last roadshow stop of the year. Don't miss this one! 👉 https://lnkd.in/ekUbCegw
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When Drew talks about Bigeye, there’s something unmistakable in his voice: the genuine excitement of someone who loves where he’s landed. “It’s rare to find a place where people genuinely love what they do,” he says. “You feel it in every meeting, every brainstorm, every win.” Almost a year in, Drew’s still just getting started. “We keep growing, keep innovating, and keep having fun while doing it,” he says. “That’s Bigeye. A place where you can work hard, win together, and actually enjoy the ride.” Read more about Drew here: https://lnkd.in/e3D4K6B8 And apply for our open positions (his team is hiring!) here: https://lnkd.in/ehEyKPKC
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TONIGHT IN DALLAS We're bringing together a select group of local data and AI leaders for a focused discussion on the future of AI readiness. This is the second to last panel of the year! This is an opportunity to: ✅ Hear from industry leaders ✅ Join peer discussions ✅ Network with data and AI leaders in the city Only a few spots left. RSVP here: https://lnkd.in/duvi4hyU
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Bigeye uses AI across four key areas: ML-driven anomaly detection to reduce alert noise, bigAI for faster incident response, automated profiling for scalable setup, and an upcoming AI Trust Platform for governance, to solve the most frustrating data problems for the biggest enterprises in the world. Read more about our approach here: https://lnkd.in/em_fcWCZ
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