Actively hiring
Financial AI
Digital Banks & Neobanks
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Overview
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials
Funding and backers
Backers
1
Accel
Momentum
0/100
no fresh signals
Last sign of life
1 mo ago
a posting or a news item
Backed byfrom the funds' portfolios and accelerator catalogs
How Zed hires
Truth index
B 75/100
Ghost roles
0%
Stale roles
100%
Reposted roles
0%
Zed scores B on the Alion truth index (A is best, E worst), measured over 6 open roles re-checked against its own hiring board: 0% look like ghost listings, 100% 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
Zed is a financial technology company building an AI-native, licensed neobank in the Philippines for young professionals in global markets. Its senior ML data scientist works on credit models, account management and fraud detection. The company is headquartered in San Francisco, California, United States.
Tech stack
Technologies named in job postings at Zed over the last 12 months, by layer, with the share of postings for each.
Technologies in use
24
Postings analysed
5
Stack modernity
78/100AI adopter
Languages
Python
SQL
Rust
Go
Frameworks & libraries
LightGBM
PyTorch
XGBoost
AI & ML
LLM
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Full Zed tech stack
24 technologies · by team · pay by technology · changes · similar stacks
Growth
Hiring Momentum
35/100
Slowing
Open positions
8
0 opened / 0 closed in 30 days
Median time-to-fill
1 days
faster than 98% of the market
ATS activity
Every ~4 hours
Today
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.
AI/ML
33% ▲
Design
33% ▲
Finance
33% ▲
Offices
Where the company hires and what each office is for
Cities
2
Hiring now
2
Countries
2
Busiest office
San Francisco
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Headquarters
Builds here
Office with open vacancies
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San Francisco
United States
HQ
5 open roles 3 posted in 90 days 60% engineering
hires for AI/ML, Backend, Design
Manila
Philippines
Sales office
3 open roles 33% engineering
hires for Data Science, Sales, Operations
Jobs
≈ $158k – $282k per year (Estimated) • In office • Full-Time • 7+ years exp • San Francisco
Apply
≈ $164k – $313k per year (Estimated) • In office • Full-Time • 7+ years exp • San Francisco
Python
SQL
XGBoost
Embeddings
LightGBM
PyTorch
LLM
Anomaly Detection
Apply
≈ $163k – $356k per year (Estimated) • In office • Full-Time • San Francisco
Prompt Engineering
Function Calling
AI Agents
LLM
Tool Use
DevOps
Platform Engineering
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≈ $138k – $272k per year (Estimated) • In office • Full-Time • 4+ years exp • San Francisco
Go
Rust
TypeScript
Haskell
Scala
OCaml
Apply
≈ $14k – $37k per year (Estimated) • In office • Full-Time • 3+ years exp • Bachelor's Degree • Manila
Python
SQL
Fine-tuning
Reinforcement Learning
Prompt Engineering
AI Agents
RAG
Explainable AI
Machine Learning
Apply

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