Prophecy
P

Prophecy

Software Development

Apt Insight

They are a fast-moving enterprise data startup with solid pay and an ambitious technical scope, though internal friction and frequent strategic shifts can make the ride turbulent. Headquartered in San Francisco with operations in Palo Alto, they build automated data engineering and workflow tools in the software development space. The organization sits in the 51 to 200 employee size band. As a venture-backed private enterprise, they have raised multiple rounds of funding to scale their platform across cloud data ecosystems.
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About

Prophecy is the AI-native analytics and automation platform, enabling data teams and users to prepare data and analyses natively on cloud platforms, with governance. Prophecy accelerates AI and analytics by simplifying and automating data preparation with AI-driven capabilities. Fortune 500 companies in finance, healthcare, retail, and technology rely on Prophecy to deliver clean, trusted, and timely data at scale. Prophecy makes all data users more productive, allowing them to seamlessly develop, deploy, and monitor data pipelines on cloud data platforms, with guardrails set by the central data platform team. Organizations trust Prophecy for the most demanding workloads, powering tens of thousands of pipelines that deliver massive volumes of data for AI and analytics.
Founded2017
HeadquartersSan Francisco, US
IndustrySoftware Development
Websitewww.prophecy.io/about
Employees185
Total Funding$116M

Open roles at Prophecy

3 open roles, newest first.
People Operation ManagerSan Francisco, California · Remote ok
Marketing SDRRemote · Remote ok
Director, Strategic PartnershipsSan Francisco, California · Remote ok

Why people join & leave

Why join
High compensation and benefits packagesOpportunities to solve complex distributed data problemsFast-moving environment with substantial ownership
Why leave
Leadership instability and sudden strategic pivotsHigh-pressure environment with crisis-mode pacingConcerns over customer churn and product focus

Company Pulse

Headcount
-31%past year
Raised
$116Mtotal

In the News

Announcing Prophecy Pro 4.2.9 - Announcements - Prophecycommunity.prophecy.ai · Jun 22, 2026
Announcing Prophecy 4.2.8 - Announcements - Prophecycommunity.prophecy.ai · May 26, 2026
Prophecy Highlights AI-Driven Data Workflows at Snowflake Summit - TipRanks.comtipranks.com · May 19, 2026
Virtual Hackathon Winners - Spring 2026! 🎉 - Announcements - Prophecycommunity.prophecy.ai · May 18, 2026

Employee Experience

3.6/5
Career Opportunities
3.6
Compensation & Benefits
4.3
Culture & Values
3.4
Diversity & Inclusion
3.3
Senior Management
3.4
Work-Life Balance
3.0

Quick Take

Strengths
Strong compensation ratingCompensation and benefits earns an 86 out of 100 rating from employees.
Substantial venture fundingSecured a 47 million dollar financing round in January 2025.
Watch out
Weak business outlookBusiness outlook rating sits at 42 out of 100 amid reported executive turnover.
Low recommendation rateOnly 55 percent of reviewers would recommend working here to a friend.
Note
Ecosystem integration focusRecent releases prioritize visual data workflows and migrations across Snowflake and Databricks.

Things to consider

Frequent strategy shifts — Internal reviews note abrupt pivots in go-to-market motions and product roadmaps that create planning whiplash.
Low business outlook — Employee outlook sits at 42 percent, accompanied by reports of organizational turnover and customer retention pressure.

Leadership

RB
Raj BainsFounder and CEO
VM
Vikas MarwahaCo-Founder and COO
MS
Maciej SzpakowskiCo-Founder and CTO
RB
Rohit BakhshiCo-Founder
TT
Tiffany TranSVP, Finance & Operations
EK
Edan KabatchnikSVP, Products
VS
Vishal SwarankarSVP, Engineering
JM
Jordan MarkhamVP, Customer Success & Support

What They Build

Prophecy builds a visual, agentic data engineering platform that converts natural language and UI workflows into production-grade pipeline code. Engineering centers on large-scale distributed data processing, automated code generation, and IDE performance optimization. The technical teams focus heavily on integrating natively with modern cloud data warehouses and lakehouses.
Visual Data Pipelines
Data Transformation
Agentic AI
Cloud Data Warehousing
Code Generation
Domains
Data Engineering
Distributed Systems
Frontend Architecture
DevOps
Machine Learning
Tech Stack
Apache Spark
Scala
Python
SQL
Databricks
Snowflake
PostgreSQL
PyTorch
+6