Contract

Operations Manager

Contract

Updated on 8/21/2026

Prophecy

Prophecy

51-200 employees

Low-code data engineering for Spark/Airflow

No salary listed

San Mateo, CA, USA

Hybrid

Two to three days in the San Mateo office per week required.

Bachelor's

Category
People & HR (1)
Required Skills
LLM
Claude
Human Resources Information System (HRIS)

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Requirements
  • At least 5 years of experience in an operations or human resources role.
  • A bachelor's degree in business administration or a related field.
  • Strong organizational skills with the ability to juggle multiple priorities and deadlines.
  • Knowledge of automation tools and large language models such as Claude, ChatGPT, and Gemini.
  • Sound judgment and discretion when handling confidential and sensitive information.
  • Comfort working with calendar, email, human resources information system, and payroll tools, with the ability to quickly learn new systems.
  • A proactive, resourceful, and detail-oriented approach to problem-solving.
  • Ability to work a hybrid schedule, splitting time between in-office and remote work.
Responsibilities
  • Manage complex scheduling and calendar coordination for executives.
  • Lead new hire onboarding, ensuring a smooth and well-organized start for every employee.
  • Prepare and submit payroll inputs, coordinating with finance and payroll to ensure accuracy and timeliness.
  • Plan and execute culture-building events and initiatives that strengthen team engagement and morale.
  • Support the performance review cycle, including scheduling, tracking, and coordinating documentation.
  • Support employee benefits programs, serve as a point of contact for employee questions and enrollment, and resolve conflicts across multiple stakeholders.
  • Manage executive email correspondence, ensuring timely responses and follow-through on key items.
  • Arrange travel logistics, including flights, accommodations, and itineraries.
  • Plan and coordinate internal and external meetings, offsites, and company events.
  • Manage offboarding processes, including exit logistics and documentation.

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.