Actively hiring
AI Agents
Scheduling & Booking Software
View 3 jobs
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Overview
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials
Funding and backers
Team
51-200
employees, estimated range
Hiring now
5
+5 posted in 30 days
Backers
1
Y Combinator
Momentum
40/100
hiring for its size
Last sign of life
this month
a posting or a news item
The story so fareach stage dated by its source: the company's releases, the press, registers, filings
Jan 2026
Went through Y Combinator
Tractionpublic signals, read monthly
Web presence
top 7%
of 133.2M domains by links, Common Crawl
Backed byfrom the funds' portfolios and accelerator catalogs
Overview
Vela is a start-up building AI that removes the tedious human coordination work around scheduling. Its team hires founding engineers, a member of technical staff, a founding customer success lead and a recruiter for India. The company is headquartered in San Francisco, California, United States.
Tech stack
Technologies named in job postings at Vela over the last 12 months, by layer, with the share of postings for each.
Technologies in use
4
Postings analysed
3
Stack modernity
80/100
Frameworks & libraries
LangChain
Practices & domains
AI Agents
Machine Learning
Reinforcement Learning
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Salary insights
Compensation ranges based on this company's open jobs
Median
$180k
Typical range
$12k – $300k
Open positions
5
3
Jobs
Junior
33.3%
Staff
66.7%
| Level | Jobs | Median | Typical range |
|---|---|---|---|
| Junior | 1 | $12k | $12k |
| Staff | 2 | $240k | $180k – $300k |
Highest paying role
Founding Engineer @ Vela | Solving Scheduling
$300k
Normalized to USD per year
All salaries at Vela
By role, level and city, against the market · 5 jobs with pay
Growth
Hiring Momentum
32/100
Slowing
Open positions
5
0 opened / 0 closed in 30 days
Median time-to-fill
6 days
faster than 78% 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.
Backend
33% ▲
HR
33% ▲
AI/ML
17% ▲
Customer Success
17% ▲
Offices
Where the company hires and what each office is for
Cities
1
Hiring now
1
Countries
1
Busiest office
San Francisco
San Francisco
United States
HQ
3 open roles 3 posted in 90 days 67% engineering 50-200 est. staff $260k Avg Salary
hires for AI/ML, Backend, Customer Success
Jobs
$21k – $62k per year • Equity 0.1–0.1% • Remote (India) • Full-Time
LangChain
Reinforcement Learning
AI Agents
Machine Learning
Marketing
X (Twitter)
Apply
$120k – $300k per year • Equity 0–2% • In office • Full-Time • San Francisco
LangChain
Reinforcement Learning
AI Agents
Machine Learning
Marketing
X (Twitter)
Apply
$110k – $300k per year • Equity 0–2% • In office • Full-Time • San Francisco
LangChain
Reinforcement Learning
AI Agents
Machine Learning
Marketing
X (Twitter)
Apply

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