Full-Time

AI/ML Engineer

Prophecy

Prophecy

51-200 employees

Low-code data engineering for Spark/Airflow

Compensation Overview

$250k - $350k/yr

+ Equity

San Mateo, CA, USA

Hybrid

Hybrid schedule: 2-3 days in-office per week in San Mateo, California.

Category
AI & Machine Learning (1)
Required Skills
Kubernetes
Python
BigQuery
Apache Spark
Machine Learning
RAG
AWS
Databricks
Snowflake

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Requirements
  • 4–6+ years in software engineering with meaningful AI/ML depth
  • Experience building coding agents or AI systems in production and owning them when issues arise
  • Ability to make architectural decisions under uncertainty and know when to move fast versus when to do it right
  • Strong interest in picking up new technologies and contributing to design discussions, not just implementation
  • Proficiency in Python; experience with retrieval infrastructure spanning vector databases and knowledge graphs (Neo4j); familiarity with AWS and Kubernetes
  • Experience with data processing and analytics tools such as Databricks, Snowflake, BigQuery, DuckDB, and Spark (any of these considered valuable)
  • Experience with model selection, fine-tuning, prompt design, and evaluation in AI systems
Responsibilities
  • Architect multi-step AI agents end-to-end including problem decomposition, context retrieval, error recovery, and output quality; set the bar, build the evaluations, and own the improvement loop
  • Own Retrieval and knowledge systems including RAG pipelines, vector and graph-based retrieval, and knowledge representations that enable agents to reason over customer schemas, lineage, and semantics
  • Own the AI layer behind Prophecy's core capabilities including natural language to production-grade transformations: prompt design, model selection, fine-tuning, and output validation
  • Ensure production AI systems meet scale requirements including latency, throughput, observability, and knowing when to optimize a model versus restructure a system
Desired Qualifications
  • Scala and Go are meaningful plusses
  • Experience with Databricks, Snowflake, BigQuery, DuckDB, and Spark; or general data processing and analytics experience considered valuable
  • Location: San Mateo office 2–3 days/week not a requirement
  • Compensation details are not to be included in Desirable

Prophecy.io is a low-code data engineering platform that helps data teams build and manage Spark workflows and Airflow schedules. It offers a visual interface for designing jobs and schedules, plus metadata search and column-level lineage for governance. It targets medium to large enterprises and uses a subscription-based model for access to its toolkit. Its goal is to speed up development and improve reliability and observability of data pipelines.

Company Size

51-200

Company Stage

Series B

Total Funding

$116.5M

Headquarters

San Francisco, California

Founded

2017

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Simplify Jobs

Simplify's Take

What believers are saying

  • The January 16, 2025, $47 million Series B1 extends runway and credibility.
  • Prophecy's July 2026 Snowflake and BigQuery fabric support widens its addressable platform footprint.
  • Free accounts and InfoWorld's January 6, 2026 award increase inbound demand and trial conversion.

What critics are saying

  • Databricks, Snowflake, and BigQuery can copy Prophecy's workflow layer and crush pricing by 2027.
  • Alteryx, dbt, and Fivetran already own adjacent budgets, slowing Prophecy's enterprise sales cycles.
  • If AI workflow generation disappoints audits, Prophecy becomes another demo product, not infrastructure.

What makes Prophecy unique

  • Prophecy v4, launched February 24, 2026, turns prompts into inspectable workflows.
  • Native execution on Databricks, Snowflake, and BigQuery keeps workflows governed and portable.
  • Git-stored production code and column-level lineage separate Prophecy from black-box AI copilots.

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Benefits

Health Insurance

Unlimited Paid Time Off

Wellness Program

Professional Development Budget

Company Equity

Life Insurance

FSA/HSA

Long Term Disability

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

2%

2 year growth

1%
PR Newswire
Feb 24th, 2026
Prophecy launches v4 with AI agents for visual data prep on Databricks, Snowflake and BigQuery

Prophecy has launched v4, an AI data preparation and analysis platform that uses AI agents to convert business requirements into visual data workflows. The platform generates inspectable workflows that run natively on Databricks, Snowflake and BigQuery. The system addresses validation challenges in AI-generated data logic by making outputs visual and reviewable, rather than requiring users to check lengthy SQL or Spark code. Workflows are stored as production-grade code in Git and inherit governance policies from underlying data platforms. Prophecy v4 aims to replace legacy desktop tools by combining AI-driven productivity with cloud-native execution. The platform unifies data analysis steps into a single interface where users can iteratively refine results through conversational interactions with agents whilst maintaining synchronisation between visual workflows and code. The platform is available now with free accounts offered.

Tabor Communications Inc.
Mar 28th, 2025
Prophecy 4.0 Offers Fully Governed Self-Service Data Prep for Databricks SQL

Additionally, Prophecy has introduced built-in automation with a drag-and-drop interface.

Prophecy
Jan 20th, 2025
Prophecy takes in $47M to scale-up and re-imagine data integration with AI

I’m pleased to share that Prophecy today announced a $47M Series B1 round. Smith Point Capital led the round, with HSBC joining as a new investor and participation from existing investors including Berkeley SkyDeck, DallasVC, Insight Partners, JPMorgan Chase and SignalFire.

FinSMEs
Jan 16th, 2025
Prophecy Raises $47M in Series B Extension Funding

Prophecy raises $47M in Series B extension funding.

SiliconANGLE Media
Jan 16th, 2025
Prophecy raises $47M for AI data pipelines

Prophecy Inc., a data copilot startup, raised a $47M Series B extension led by Smith Point Capital, with participation from HSBC and others. The company uses generative AI to automate data pipeline development, making data accessible across systems. Prophecy's copilot, integrated with Databricks, accelerates AI initiatives by simplifying data preparation. The funding will enhance its platform and expand its customer base by 2025.