Eventual
daft.ai
Actively hiring
Data Warehouses & Lakehouses
Query Engines & Big Data Processing
View 3 jobs
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Overview
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials
Funding and backers
Team
11-50
employees, estimated range
Hiring now
4
+3 posted in 30 days
Backers
1
Y Combinator
Momentum
30/100
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
Oct 1, 2025
Launched on Hacker News Show HN: Flotilla, the Distributed Engine for Multimodal Pipelines
Jan 2022
Went through Y Combinator
2022
Founded
Tractionpublic signals, read monthly
Backed byfrom the funds' portfolios and accelerator catalogs
Y Combinator Investors in similar startupsfunds that back the companies most like this one
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Overview
Eventual builds Daft, an open-source data engine written in Rust for the multimodal workloads that AI teams run over images, video, audio and text as well as ordinary tables. Its query engine pushes work down to the storage layer and scales from a laptop to a distributed cluster without rewriting the pipeline, which lets one framework cover both interactive exploration and production processing. The company sells a managed platform around the open engine to teams preparing training data and running large-scale batch inference.
Tech stack
Technologies named in job postings at Eventual over the last 12 months, by layer, with the share of postings for each.
Technologies in use
31
Postings analysed
7
Stack modernity
76/100AI adopter
Languages
Rust
C++
Python
Go
Frameworks & libraries
Ray
CUDA
React.js
Databases
Snowflake
Pinecone
Apache Iceberg
Cloud & platforms
AWS
Databricks
Perplexity
Together AI
AI & ML
LLM
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Full Eventual tech stack
31 technologies · by team · pay by technology · changes · similar stacks
Salary insights
Compensation ranges based on this company's open jobs
Median
$250k
Typical range
$200k – $300k
Open positions
4
3
Jobs
Middle
100%
| Level | Jobs | Median | Typical range |
|---|---|---|---|
| Middle | 3 | $250k | $200k – $250k |
Highest paying role
Research Engineer, Multimodal Data
$300k
Normalized to USD per year
Growth
Hiring Momentum
77/100
Scaling fast
Open positions
4
3 opened / 0 closed in 30 days
Median time-to-fill
91 days
faster than 15% 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
50% ▲
AI/ML
25% ▼
Operations
25% ▲
Activity Timeline
Added Linux to stack
Sep 2026
Added Physical AI to stack
Sep 2026
Added Model Distillation to stack
Sep 2026
Added HPC to stack
Aug 2026
Added GitHub to stack
Aug 2026
Added Amazon S3 to stack
Aug 2026
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
4 open roles 4 posted in 90 days 75% engineering 10-50 est. staff $250k Avg Salary
hires for Backend, AI/ML, Operations
Jobs
$150k – $250k per year • In office • Full-Time • 3+ years exp • San Francisco
Rust
C++
Snowflake
Databricks
Apache Iceberg
AI/ML
CUDA Toolkit
Embeddings
Multimodal AI
Perplexity
Together AI
CUDA
Physical AI
DevOps
AWS
Amazon S3
Management
Agile
Apply
$150k – $250k per year • In office • Full-Time • 3+ years exp • San Francisco
Python
Go
JavaScript
Rust
TypeScript
SQL
C++
Snowflake
Databricks
AI/ML
Multimodal AI
Computer Vision
AI Agents
Perplexity
Together AI
Physical AI
Frontend
React.js
DevOps
WebRTC
AWS
Amazon S3
Management
Agile
Apply
$150k – $300k per year • In office • Full-Time • San Francisco
Snowflake
Databricks
Pinecone
AI/ML
Embeddings
Multimodal AI
Knowledge Distillation
Perplexity
Ray
Together AI
Physical AI
Model Distillation
DevOps
AWS
Apply