Full-Time

Backend Engineer

Backend

Standard Metrics

Standard Metrics

51-200 employees

Automated portfolio management and analytics platform

Compensation Overview

$180k - $225k/yr

+ Equity package

Remote in USA

Remote

Category
Software Engineering (1)
Required Skills
Kubernetes
Python
AWS
Terraform
DevOps
CircleCI
Django

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Requirements
  • At least 6 years of backend development experience.
  • Expertise in Python.
  • Strong experience building and delivering web applications.
  • Understanding 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.
  • Own entire 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 outcomes and values.
  • Contribute to company culture and future hiring efforts.
Desired Qualifications
  • Experience with the Django framework.
  • Expertise in modern infrastructure, including Kubernetes, Terraform, Amazon Web Services, and CircleCI.

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

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Simplify Jobs

Simplify's Take

What believers are saying

  • The January 2026 AI Analyst launch directly addresses portfolio reviews and LP reporting.
  • June 2026 web search and charting add immediate utility for partner-facing analysis.
  • Customer proof from Pulley, Lerer Hippeau, and Munich Re strengthens sales credibility.

What critics are saying

  • Carta and Pulley already own adjacent workflows, squeezing Standard Metrics’ expansion path.
  • Heavy dependence on VC and PE budgets ties growth to fund-raising cycles.
  • If customers reject AI-generated analysis after 2026 launches, Standard Metrics loses differentiation.

What makes Standard Metrics unique

  • Standard Metrics serves 100+ VC firms and 10,000+ companies, per 2026 disclosures.
  • Its AI Analyst unifies portfolio data, web search, and charting inside one workflow.
  • Benchmarking against 10,000+ venture-backed startups gives it a proprietary comparison layer.

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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

0%

1 year growth

-2%

2 year growth

-3%
X Corp.
Apr 17th, 2026
American Optimist on Twitter / X

EPISODE 150: How AI Is Transforming Diligence, Decision-Making & the Future of Investing@JTLonsdale sits down with @jmelaskyriazi, co-founder & CEO of @metrics_co(00:00) Episode intro (02:10) Academia to investor and founder (08:00) The pain point that led to Standard… pic.twitter.com/OANkOqv5lx— American Optimist (@AmOptimistShow) April 17, 2026

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