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Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials
How Pave hires
Truth index
B 78/100
Ghost roles
0%
Stale roles
89%
Reposted roles
0%
Pave scores B on the Alion truth index (A is best, E worst), measured over 9 open roles re-checked against its own hiring board: 0% look like ghost listings, 89% have gone stale and 0% are the same role posted again. It measures how much of what this employer publishes turns into a real, finite search - not the employer as a workplace. How the index is computed
Overview
Pave is compensation software that connects to a company's HR and equity systems to benchmark pay against real-time market data. Teams plan salary bands, run merit cycles and generate total rewards statements from the same source. Its benchmarking pool draws on data contributed by thousands of companies.
News
Pave Finance Raises $15 Million Series A At $100 Million Pre-Money Valuation As Advisor AUM Surpasses $130 Billion
Pave Finance has raised more than $15 million in an oversubscribed Series A at a $100 million pre-money valuation as adoption of its AI-powered portfolio management platform expands across wealth management firms overseeing more than $130 billion in asset
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Pave Advances Agentic Orchestration Across 350+ Business Systems, Introducing the Market's Most Comprehensive AI App Builder
BOSTON, Sept. 21, 2026 (GLOBE NEWSWIRE) -- Pave, the simplest platform for building secure custom business applications, today announced expande...
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Pave Finance Reports New Funding to Scale AI enabled Investment Portfolio Tools for Advisors
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AI-Backed Investment Platform Pave Finance Raises $15 million
The round values Pave Finance at $100 million, which touts a lower-cost, personalized investment platform for financial advisors.
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Report
Don't pave the cow path
A teammate shared a lesson this week that a former CEO used to talk about: don't pave the cow path. It's a beautiful warning against taking an inefficient, accidental process and simply…
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Molecule in python blood could pave way for new obesity drugs, scientists say
Researchers find snake metabolite that suppresses appetite of obese mice 'without some of side-effects' of GLP-1 drugs
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Tech stack
Technologies named in job postings at Pave over the last 12 months, by layer, with the share of postings for each.
Technologies in use
29
Postings analysed
21
Stack modernity
78/100
Languages
TypeScript29%
Node JS24%
JavaScript24%
SQL14%
Frameworks & libraries
React.js10%
Databases
MySQL14%
ClickHouse5%
Cloud & platforms
Databricks100%
OpenAI100%
GCP14%
Kubernetes5%
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Full Pave tech stack
29 technologies · by team · pay by technology · changes · similar stacks
Salary insights
Compensation ranges based on this company's open jobs
Median
$191k
Typical range
$191k – $194k
Open positions
3
3
Jobs
Junior
33.3%
Middle
66.7%
| Level | Jobs | Median | Typical range |
|---|---|---|---|
| Junior | 1 | $191k | $191k |
| Middle | 2 | $192k | $191k – $194k |
Highest paying role
Analytics Engineer
$194k
Normalized to USD per year
People

Oren Bass
Executive Officer, Director

Sam Silverman
Executive Officer

Sam Mahmood
Executive Officer

Christopher Wirthlin
Executive Officer

Alexander Turkot
Director

Salim Lahoud
Director
Names and roles come from public filings, company registers and the company's own site. Is this you? Correct or remove · How we handle this data
Growth
Hiring Momentum
76/100
Scaling fast
Open positions
18
1 opened / 1 closed in 30 days
Median time-to-fill
5 days
faster than 85% of the market
ATS activity
Every ~4 hours
Today
Hiring Dynamics
+100%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
Backend
23% ▼
Sales
23% ▲
Marketing
15% ▲
Frontend
8% ▼
Security
8% ▼
Analytics
8% ▼
Activity Timeline
Added Tableau to stack
Oct 2026
Added Power BI to stack
Oct 2026
Added Looker to stack
Oct 2026
New location: New York
Sep 2026
Added SIEM to stack
Sep 2026
Added Machine Learning to stack
Sep 2026
New location: Salt Lake City
Sep 2026
Offices
Where the company hires and what each office is for
Cities
5
Hiring now
3
Countries
3
Busiest office
San Francisco
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Headquarters
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Office with open vacancies
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San Francisco
United States
HQ
San Francisco
17 open roles 11 posted in 90 days 59% engineering 5000+ est. staff $192k Avg Salary
hires for Backend, Sales, Data Science
New York
United States
Engineering / R&D
New York City
3 open roles 1 posted in 90 days 67% engineering 1000-5000 est. staff $194k Avg Salary
hires for Backend, Leadership, Analytics
Salt Lake City
United States
Regional office
Salt Lake City
1 open roles 2 posted in 90 days 500-1000 est. staff
hires for Marketing
London
United Kingdom
Regional office
Kings Cross, London, United Kingdom
Kraków
Poland
Regional office
Kraków
Jobs
≈ $97k – $201k per year (Estimated) • Hybrid • 2+ years exp • Bachelor's Degree • San Francisco
Python
SQL
Databricks
AI/ML
Claude Code
dbt
OpenAI
Machine Learning
Analytics
Tableau
Power BI
Looker
Apply
$141k – $191k per year • Hybrid • 2+ years exp • San Francisco
JavaScript
TypeScript
Node JS
Databricks
AI/ML
OpenAI
Machine Learning
Apply
≈ $159k – $292k per year (Estimated) • Hybrid • 5+ years exp • San Francisco
JavaScript
TypeScript
Node JS
Databricks
AI/ML
OpenAI
Machine Learning
Apply
≈ $148k – $316k per year (Estimated) • Hybrid • San Francisco • New York
JavaScript
TypeScript
Node JS
MySQL
Databricks
ClickHouse
AI/ML
AI Agents
OpenAI
E2B
Machine Learning
DevOps
Terraform
GitHub Actions
Datadog
CI/CD
Kubernetes
Apply
≈ $171k – $349k per year (Estimated) • Hybrid • 7+ years exp • San Francisco • New York
Databricks
AI/ML
OpenAI
Machine Learning
Apply
$141k – $191k per year • Hybrid • 3+ years exp • San Francisco
JavaScript
TypeScript
Node JS
Prisma
Databases
MySQL
Databricks
AI/ML
OpenAI
Machine Learning
Frontend
React.js
DevOps
GCP
Platform Engineering
Apply
≈ $159k – $292k per year (Estimated) • Hybrid • 5+ years exp • San Francisco
JavaScript
TypeScript
Node JS
Prisma
Databases
MySQL
Databricks
AI/ML
OpenAI
Machine Learning
Frontend
React.js
DevOps
GCP
Platform Engineering
Apply
≈ $165k – $303k per year (Estimated) • Hybrid • 7+ years exp • San Francisco
Databricks
AI/ML
AI Agents
OpenAI
Machine Learning
Apply
≈ $152k – $281k per year (Estimated) • Hybrid • 5+ years exp • San Francisco
Databricks
AI/ML
OpenAI
Machine Learning
Apply
≈ $145k – $285k per year (Estimated) • Hybrid • 5+ years exp • San Francisco
Databricks
AI/ML
OpenAI
Machine Learning
Apply
$169k – $194k per year • Hybrid • 4+ years exp • San Francisco • New York
Databricks
AI/ML
dbt
OpenAI
Machine Learning
Apply
