Full-Time

Product Designer

Standard Metrics

Standard Metrics

51-200 employees

Automated portfolio management and analytics platform

Compensation Overview

$170k - $205k/yr

+ Equity

Remote in USA

Remote

Remote in the United States.

Category
UI/UX & Design (1)
Required Skills
React.js
Figma
HTML/CSS

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Requirements
  • 7+ years of experience in Product Design
  • Deep B2B SaaS web experience, ideally including startup experience
  • A portfolio showing senior-level product design work for complex workflows, ideally including shipped AI-enabled features
  • Demonstrated fluency using AI tools in the design process, such as for ideation, research synthesis, prototyping, content exploration, design critique, or design-to-code collaboration
  • Strong judgment around AI product UX, including uncertainty, failure states, user correction, source transparency, auditability, and responsible handling of sensitive customer data
  • Experience using Figma, CSS, HTML, React, etc.
  • Collaborative mindset, with experience working across disciplines and with multiple stakeholders (ex: product and marketing managers and engineers)
  • Experience shipping exceptional products at a fast pace
  • Ability to create simple and elegant design solutions to complicated problems
  • A portfolio is required with application
Responsibilities
  • Create and validate design solutions that balance delightful usability, functionality, and technical flexibility through sketches, prototypes, and testing + iteration
  • Own the end-to-end user journey across complex workflows, from ideation, to prototyping, to user testing, to final production
  • Leverage user research, rapid prototyping, AI-assisted workflows, and data insights to identify ways to improve the Standard Metrics platform and user experience
  • Design AI-enabled product experiences for complex B2B workflows, including moments where users need to understand, verify, correct, and trust AI-generated outputs
  • Use AI-assisted design and prototyping tools to accelerate exploration, research synthesis, iteration, critique, and design-to-engineering handoff while maintaining strong product judgment
  • Synthesize design, engineering, product, business, and AI system requirements that underpin complex, cross-functional initiatives
  • Partner with Product and Engineering to define AI behavior, edge cases, confidence signals, feedback loops, evaluation criteria, and rollout strategy
  • Welcome and actively solicit feedback from cross-functional teams and users to build better product experiences and work flows
  • Document and build on design systems as they pertain to your product and providing guidance on cross-product design strategy
  • Collaborate with Product and Engineering partners to influence the product roadmap, identify opportunities, and make decisions based on impact to Standard Metrics users

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