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Standard Metrics

AI-driven portfolio monitoring for VC/PE

Software Engineer - Backend

Backend EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USARemote

About the Job

Requirements

  • At least 6 years of backend development experience.
  • Expertise in Python.
  • Strong record of building and delivering web applications.
  • Understanding of and adherence to modern software development practices, including Gitflow, continuous integration, and peer reviews.

Responsibilities

  • Design, architect, and build the core product as a member of the engineering team.
  • Take ownership of outcomes and support and grow them through iteration, documentation, and bug fixes.
  • Collaborate with the product team to scope and define features that support company goals and values.
  • Contribute to company culture and future hiring efforts.

Desired Qualifications

  • Django framework experience.
  • Experience with modern infrastructure such as Kubernetes, Terraform, AWS, and CircleCI.

About the Company

Standard Metrics

AI-driven portfolio monitoring for VC/PE

Standard Metrics provides AI-driven software for portfolio monitoring and management tailored to venture capital and private equity. It centralizes performance data, documents, and notes into an auditable system so investors can run portfolio reviews, streamline audits, report to LPs faster, and spot outlier performance. The product guides users through four steps: collect data with an AI agent and data services, analyze metrics with an AI Analyst and MCP server, report with tear sheets and board decks that sync to Excel or BI tools, and benchmark against a large anonymized set of venture-backed startups. Its differentiator is a VC/PE focus with emphasis on data quality, AI-assisted collection, deep benchmarking, and auditability, aiming to improve speed and clarity of reporting and reviews.

Company size
51-200
Company stage
Series B
Total funding
$49.5M
Headquarters
San Francisco, CA
Founded
2020

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