Snowflake
Written by the Bee, read it before you send it
KPIMore first meetings turn into real deals, on less preparation time
selling on-prem storage
Snowflake just reported Q1 FY2027 results on May 27, 2026 with product revenue up 34% YoY and RPO up 38%, and that kind of growth typically strains internal tooling and data workflows.
Governance layer with logging, audit trails, RBAC, SSO, and data residency controls medium
Unable to confirm specific priorities without a verified profile
Bhargav Petla
Not verifiable from public sources (likely a technical/data or procurement role at Snowflake given meeting context) · Unknown
Public search did not return a verifiable, distinct profile matching this name at Snowflake. No confirmed title, tenure, or bio could be established.
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Snowflake today
- Industry
- Cloud data platform / AI Data Cloud
- Size
- ~779 customers with >$1M trailing-12-month product revenue; large enterprise customer base including 813 Forbes Global 2000 companies
- HQ
- Bozeman, Montana (no formal headquarters; major office in Menlo Park, CA)
- Footprint
- Menlo Park, CA · Bozeman, MT · San Mateo, CA · Bellevue, WA · Paris, France · Global operations across NYSE-listed enterprise
Snowflake is a publicly traded (NYSE: SNOW) cloud data platform company known as the "AI Data Cloud," providing data warehousing, sharing, and now agentic AI capabilities via products like Cortex Code and Snowflake Intelligence. It serves large enterprises with a platform built on separation of storage and compute, cross-cloud interoperability, and enterprise-grade governance.
- Reported Q1 FY2027 results May 27, 2026: product revenue $1.33B, up 34% YoY, RPO $9.21B up 38% YoY
- Appointed Jonathan Beaulier as Chief Revenue Officer effective March 31, 2026, replacing Mike Gannon
- Reported Q4/FY2026 results Feb 25, 2026: product revenue $1.23B (Q4), 740 net new customers added, up 40% YoY
- Q1 FY2027 added 46 new customers crossing the $1M spend threshold, vs 26 a year earlier
- Company has recorded net losses for multiple consecutive years despite strong revenue growth
- CEO frames AI push as urgent 'inflection point,' implying pressure to convert AI hype into durable revenue
- Scaling agentic AI (Cortex Code, Snowflake Intelligence) while managing cost/compute intensity of new workloads
- Positioning as 'control plane for the Agentic Enterprise' via Cortex Code and Snowflake Intelligence, per CEO Sridhar Ramaswamy
- Raised full-year product revenue guidance following strong Q1 FY2027 results, signaling continued growth investment
- CFO Brian Robins highlighted strategy focused on landing new customers and expanding them into long-term relationships
Positioning
NSOffice.AI gives enterprise teams a single governed prompt interface to search, automate, and execute across the 15+ business systems they already run, instead of stitching together fragmented tools.
Conversation arc
“Bhargav, thanks for the time — I know this was framed around on-prem storage, so I want to make sure I understand what you actually own before I pitch anything.”
“Walk me through where your team spends the most manual time pulling data or context together across systems today?”
“Beyond storage, we sit as a governed prompt layer over 15+ systems so your teams stop hopping tools to get an answer, and nothing you feed it trains outside models.”
“I hear you're already investing in Cortex Code and Snowflake Intelligence internally — we're not trying to replace that, we're solving the cross-system prompt layer outside your data platform.”
“Can we set up a 30-minute session with whoever owns your internal tooling roadmap to map this against what you're already building?”
Feasibility
What they appear to run
- LinkedIn post from a Snowflake employee announced Snowpark Connect for Apache Spark reaching Public Preview
- Earnings materials cite Cortex Code and Snowflake Intelligence as new first-party AI products driving adoption
- Company self-describes as built on cross-cloud interoperability, implying multi-cloud (AWS/Azure/GCP) deployment