Standard Metrics
The Data Solutions Engineer at Standard Metrics will act as the technical owner for customer-facing data workflows, integrations, and AI-driven automation. The role blends engineering expertise with direct customer interaction to design and implement data solutions, while also contributing to internal tooling and product development.
Headquarters
San Francisco, California, United States
Company Size
51-200 employees
Standard Metrics is an AI-driven portfolio management platform built for venture capital and private equity firms and their portfolio companies. It centralizes performance data, documents, and metrics into auditable dashboards, and leverages AI tools including an AI Analyst, AI document parsing, and MCP server integration to streamline data collection, portfolio analysis, LP reporting, and benchmarking. Trusted by VC/PE firms worldwide and over 10,000 portfolio companies, Standard Metrics significantly reduces manual reporting effort and helps investors and founders make faster, data-backed decisions.
DXP Enterprises (DXPE) Stands Out as a Remarkable Growth Stock: Here Are 3 Key Reasons
3 hours ago
Standard Metrics Launches Portfolio-Wide AI Analyst for Private Market Investors
1 month ago
Standard Metrics wants to automate the way investors track startup financials
Apr 21, 2023
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Standard Metrics.
Standard Metrics didn’t post a salary, so this is our estimate from similar listings.
16% below the average for this role
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