Prophecy
prophecy.ai
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Financials
Overview
Prophecy provides a visual data transformation environment that compiles to Spark and SQL code in the customer's own repository. Analysts build pipelines through a low-code interface while engineers keep versioned, testable code. Large enterprises use it to migrate legacy ETL onto modern warehouses and lakehouses.
News
Interview with Carissa Véliz, Author of "Privacy is Power" and "Prophecy"
We sat down with Carissa Véliz, author of 'Privacy is Power' and Oxford AI Ethics professor, to talk about how predictive AI will make a 'meritocracy' impossible, how lifelike chat bots are designed to deceive you, and the importance of privacy in the dig
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Prophecy Launches v4: AI Agents for Visual Data Prep & Analysis
/PRNewswire/ -- Prophecy, the AI data prep & analysis platform, today announced Prophecy v4, bringing AI agents based on Claude Code to business users for...
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It's one of the most influential social psychology studies ever. Was it all a lie?
A classic book on UFO believers and their "cognitive dissonance" after aliens failed to land is called into question.
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"Alarm Bells Went Off": New Research Takes a Critical Look at the Landmark UFO Cult Study 'When Prophecy Fails'
New research questions When Prophecy Fails, the classic study of an American UFO cult, raising many questions about the work's claims.
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As AI bubble warnings mount, a 23-year-old's $1.5 billion hedge fund shows how prophecy turns into profits
As central bankers warn of an AI bubble, Silicon Valley's true believers are doubling down-turning AGI prophecy into cash, clout, and billion-dollar bets.
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Technologies
Tech DNA
Python
Go
Scala
Snowflake
BigQuery
Google BigQuery
AWS
Azure
GCP
LLM
ChatGPT
Gemini
AI/ML
Python
Scala
SQL
Databricks
Snowflake
BigQuery
Google BigQuery
AI Agents
AWS
LLM
dbt
Spark
Azure
GCP
DuckDB
Neo4j
ChatGPT
Gemini
Claude
Airflow
Fine-tuning
Knowledge Graph
RAG
CI/CD
CloudFormation
Datadog
FinOps
GitHub
GitHub Actions
GitLab
GitLab CI
IAM
Jenkins
Prometheus
Pulumi
Terraform
Kubernetes
Vector
Other
Go
Bash
Java
Salesforce
ETL/ELT
Least Privilege
Rollup
LinkedIn
HubSpot
Marketo
Stack modernity
87/100
How modern this stack is, based on technology relevance, AI adoption and the share of legacy tools.
In-demand technologies
Snowflake
5 jobs
Required
$350k
+94% vs market
Databricks
5 jobs
Required
$350k
+95% vs market
Google BigQuery
4 jobs
Required
$350k
+94% vs market
BigQuery
4 jobs
Required
$350k
+89% vs market
Python
3 jobs
Required
$350k
+94% vs market
AI Agents
3 jobs
Required
$350k
+63% vs market
AWS
3 jobs
Required
$350k
+91% vs market
Salesforce
3 jobs
Required
Salary medians are calculated from this company's open jobs and compared with the market.
Industry adoption
Python
22%
SQL
21%
CI/CD
21%
AWS
18%
Kubernetes
17%
Azure
15%
Share of companies in the same industry that use each technology.
Stack changes
Vector
Sep 2026
RAG
Sep 2026
Neo4j
Sep 2026
Kubernetes
Sep 2026
Knowledge Graph
Sep 2026
Fine-tuning
Sep 2026
DuckDB
Sep 2026
Rollup
Sep 2026
Technologies recently added to or removed from this company's stack - a signal of tech migrations and new initiatives.
Salesforce
Jobgether
Accenture
S&P Global
ServiceNow
Citi
Salary insights
Compensation ranges based on this company's open jobs
Median
$350k
Typical range
$350k
Open positions
1
1
Jobs
Principal
100%
| Level | Jobs | Median | Typical range |
|---|---|---|---|
| Principal | 1 | $350k | $350k |
Highest paying role
AI/ML Engineer (Mid-level to Principal)
$350k
Normalized to USD per year
Growth
Hiring Momentum
44/100
Stable
Open positions
8
1 opened / 0 closed in 30 days
ATS activity
Every ~8 hours
Today
Hiring Dynamics
0%
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.
Sales
40% ▲
Backend
20% ▼
Product
20% ▲
Management
20% ▲
Activity Timeline
Added Vector to stack
Sep 2026
Added RAG to stack
Sep 2026
Added Neo4j to stack
Sep 2026
Added Kubernetes to stack
Sep 2026
Added Knowledge Graph to stack
Sep 2026
Added Fine-tuning to stack
Sep 2026
Added DuckDB to stack
Sep 2026
Added Rollup to stack
Sep 2026
Added Marketo to stack
Sep 2026
Added HubSpot to stack
Sep 2026
Added Spark to stack
Sep 2026
Added Scala to stack
Sep 2026
Offices
Where the company hires and what each office is for
Cities
4
Hiring now
3
Countries
2
Busiest office
San Francisco
San Francisco
United States
HQ
US
3 open roles 1 posted in 90 days 33% engineering 67% remote 10-50 est. staff $350k Avg Salary
hires for AI/ML, Product, Sales
Bengaluru
India
Engineering / R&D
India
2 open roles 1 posted in 90 days 100% engineering 10-50 est. staff
hires for Backend, DevOps
San Mateo
United States
US
1 open roles 1 posted in 90 days 1-10 est. staff
hires for Management
Palo Alto
United States
Regional office
Need help with something specific?
Jobs
≈ $160k – $285k per year (Estimated) • Remote/Hybrid • 5+ years exp • San Francisco
SQL
Snowflake
Databricks
Google BigQuery
BigQuery
Analytics
ETL/ELT
Apply
≈ $24k – $59k per year (Estimated) • Equity • In office • 5+ years exp • Bengaluru
Python
Go
Bash
Snowflake
Databricks
Google BigQuery
BigQuery
AI/ML
AI Agents
DevOps
Terraform
GCP
GitHub Actions
CloudFormation
Datadog
Prometheus
Pulumi
GitLab CI
Azure
CI/CD
Jenkins
AWS
FinOps
GitHub
GitLab
IAM
Cybersecurity
Least Privilege
Apply
≈ $46k – $104k per year (Estimated) • Equity • In office • 5+ years exp • Bengaluru
Python
Go
Java
Scala
Snowflake
Databricks
Google BigQuery
BigQuery
AI/ML
Spark
Airflow
dbt
AI Agents
LLM
Apply
$250k – $350k per year • Remote • 6+ years exp • San Francisco
Python
Scala
Snowflake
Neo4j
Databricks
DuckDB
Google BigQuery
BigQuery
AI/ML
Spark
Fine-tuning
AI Agents
RAG
Knowledge Graph
DevOps
AWS
Kubernetes
Vector
Apply