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Standard Metrics Tech Stack

AI portfolio management platform for institutional investors

Technology, Information and Internet San Francisco, California 51–200 employees Privately Held
standardmetrics.io LinkedIn

Standard Metrics serves venture and private-equity firms with an AI-driven platform for portfolio oversight and LP reporting. The tech stack (Python, Django, Kubernetes, AWS) reflects a data-infrastructure-heavy product — reinforced by active projects around investment data processing and data workflow optimization, plus explicit pain points in data accuracy and scaling event processes. Current hiring is balanced across sales, data, and engineering, with acceleration in mid-to-senior roles, suggesting the company is moving past early product-market fit toward broader go-to-market and backend scaling.

Tech Stack 13 technologies

Core StackPython Django Kubernetes Terraform AWS CircleCI Salesforce Salesloft Gong Slack Apollo LinkedIn Sales Navigator Notion

What Standard Metrics Is Building

◆Challenges

  • Increasing platform adoption
  • Reducing churn risk
  • Lack of qa team
  • Data inconsistencies
  • Data accuracy
  • Streamlining data workflows
  • Heavy reliance on expensive sourcing subscriptions
  • Scaling event processes
  • Managing multiple events simultaneously

▲Active Projects

  • Recurring partnership reviews
  • Customer lifecycle management
  • Renewals and upsells
  • Core product development
  • Outbound sales development plan
  • Target account list creation
  • Meeting scheduling
  • Investment data processing
  • Customer onboarding
  • Data workflow optimization

Hiring Activity

Accelerating7 roles · 7 in 30d

Department

Sales
2
Data
1
Engineering
1
Marketing
1
Product
1
Support
1

Seniority

Mid
3
Senior
3
Junior
1
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About Standard Metrics

Standard Metrics builds portfolio management software for institutional investors — venture capitalists, private-equity firms, and their limited partners. The platform consolidates portfolio reviews, partner meetings, LP reporting, valuations, and performance benchmarking into a single workflow. The product is used by firms including General Catalyst, Bessemer Venture Partners, and Accel. Operations span investment data processing, customer lifecycle management, and renewal/upsell motions. The company maintains a San Francisco headquarters with a 51–200-person team.

HeadquartersSan Francisco, California
Company Size51–200 employees
Hiring MarketsUnited States

Frequently Asked Questions

What is Standard Metrics' tech stack?

Python, Django, Kubernetes, Terraform, AWS, and CircleCI form the core infrastructure. Sales and engagement tools include Salesforce, Apollo, Salesloft, LinkedIn Sales Navigator, and Gong. Internal workflow tools are Slack and Notion.

What are Standard Metrics' main challenges?

Data accuracy and inconsistencies are core pain points, alongside scaling event processes and streamlining data workflows. The company is also focused on increasing platform adoption and reducing churn among existing customers.

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