Full-Time

Software Engineer

Backend

Standard Metrics

Standard Metrics

51-200 employees

Automated portfolio management and analytics platform

Compensation Overview

$150k - $190k/yr

+ Equity

Remote in USA

Remote

Category
Software Engineering (1)
Required Skills
Kubernetes
Python
Git
AWS
Terraform
DevOps
CircleCI
Django
Requirements
  • 3+ years of backend development experience
  • Expertise in Python (with Django framework experience preferred)
  • Strong record of building and delivering web applications
  • Expertise in modern infrastructure (Kubernetes, Terraform, AWS, CircleCI, etc.) preferred, but not required
  • Understanding and adherence to modern software development practices (Gitflow, continuous integration, peer reviews, etc.)
Responsibilities
  • Design, architect, and build Standard Metrics’ core product as a member of the engineering team
  • Take ownership of entire outcomes, and continue to support and grow them through iteration, documentation, and bug fixes (we do not have a QA team)
  • Collaborate with the product team in scoping and defining the features that will best help the company achieve the outcomes aligned with our goals and the values we believe in
  • Be an active contributor to the company culture and future hiring efforts

Quaestor offers an automated portfolio management and collaboration platform called Standard Metrics for investors and portfolio companies in financial services. It connects to a company’s systems of record to collect and centralize data, builds real-time analytics and reports, and includes a secure portal for two-sided collaboration where companies can issue “Asks” to investors. The platform differentiates itself with end-to-end data visibility across portfolios, tight data integration, and centralized investor communications. Its goal is to reduce administrative overhead, improve decision quality, and increase transparency between investors and portfolio companies.

Company Size

51-200

Company Stage

Series A

Total Funding

$29.5M

Headquarters

San Francisco, California

Founded

2020

Simplify Jobs

Simplify's Take

What believers are saying

  • $23.7M Series A from 8VC and Spark Capital fuels AI expansion and hiring in 2026.
  • Network effects from 100+ VCs and 1,000+ companies drive data aggregation and benchmarking.
  • AI roadmap adds datasets and chart creation, cutting LP reporting time by 90%.

What critics are saying

  • Carta's March 2026 AI analytics erodes differentiation, capturing VC users in 6-12 months.
  • OpenAI's January 2026 API lets Affinity undercut paid features, causing churn in 3-9 months.
  • SEC's March 2026 rule mandates interoperability, collapsing data moat in 12-18 months.

What makes Standard Metrics unique

  • AI Analyst enables natural language queries for portfolio-wide analysis across 10,000+ companies.
  • Bi-directional Excel integration supports Excel workflows while centralizing auditable metrics.
  • Two-sided platform automates 'Asks' and investor relations, reducing administrative burdens.

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Benefits

Health Insurance

Flexible Work Hours

Paid Vacation

Paid Parental Leave

Complete Transparency

Regular Offsites

Growth & Insights and Company News

Headcount

6 month growth

-1%

1 year growth

-1%

2 year growth

-2%
PR Newswire
Jan 26th, 2026
Standard Metrics launches AI analyst for portfolio-wide analysis in private markets

Standard Metrics has launched an AI Analyst that enables venture capital and private equity firms to analyse their entire portfolios using natural language queries. The tool provides actionable answers in seconds by accessing data across the Standard Metrics platform. The AI Analyst builds on an earlier version focused on individual portfolio companies. The company found users wanted broader portfolio-level intelligence for tasks like portfolio reviews, LP reporting and ad-hoc analysis. The tool leverages on-platform financial KPIs and qualitative notes to provide current, relevant insights. Standard Metrics plans to expand the AI Analyst's capabilities over the next year, adding support for additional datasets and AI-driven chart creation. The San Francisco-based company is backed by 8VC and Spark Capital.

Standard Metrics
Aug 19th, 2024
Announcing our $23.7M Series A at Standard Metrics

We have raised a $23.7M Series A to scale our financial collaboration platform for the private markets. We are hiring!

Standard Metrics
Nov 25th, 2020
Quaestor receives financing of $23.7M in Series A

Quaestor has raised a $23.7M Series A at Standard Metrics to scale its collaboration platform for financial data and operating metrics for the private markets.

Finsmes
Jul 13th, 2020
Quaestor Raises $5.8M in Seed Funding

Quaestor, a San Francisco, CA-based provider of an automated financial data platform for startups and their investors, raised $5.8m in seed funding