Full-Time

Senior Director of Revenue Operations

Prophecy

Prophecy

51-200 employees

Low-code data engineering for Spark/Airflow

No salary listed

Remote in USA

Remote

Master's, MBA

Category
Business & Strategy (1)
Required Skills
Forecasting
CRM
HubSpot
Data Engineering
Salesforce
Data Analysis

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Requirements
  • 10+ years of experience in Revenue Operations, Sales Operations, or Business Operations, including at least 4 years in a leadership role.
  • Experience supporting a B2B SaaS or subscription-based revenue model, including renewals and expansion alongside new logo acquisition.
  • Experience building a full-funnel operating cadence from scratch.
  • Hands-on expertise with customer relationship management and marketing automation, including building reports and configuring rules.
  • Ability to analyze data, communicate clear conclusions, and identify the three most important numbers for the week.
  • Ability to operate effectively in an early-stage environment with a small team, imperfect data, and high ownership.
  • Ability to establish credibility and communicate directly with executives and sellers to gain process adoption.
  • Strong communication and collaboration skills across all levels of the organization.
  • Interest in tracking developments in artificial intelligence and go-to-market tooling and applying them to reduce manual work and simplify the technology stack.
Responsibilities
  • Build and maintain the reverse-funnel model that translates revenue targets into required pipeline by stage and channel, and recalibrate it quarterly using conversion data.
  • Deliver an executive dashboard covering pipeline source, progression, impact, pipeline health, forecast, and top risks.
  • Track opportunity creation across marketing campaigns, events, partnerships, outbound, and inbound, with clean attribution from marketing automation into the customer relationship management system.
  • Define lead follow-up service-level agreements, ownership and routing rules, ageing thresholds, and an escalation ladder.
  • Ensure every campaign launches with a pipeline target, named follow-up owner, approved sequences, and routing, and closes with a retrospective decision to repeat, fix, or remove it.
  • Express marketing targets in qualified pipeline dollars alongside lead volume, arbitrate funnel definitions across sales and marketing, and recommend budget reallocation based on measured pipeline per program dollar.
  • Track renewal dates, owners, and account health; stage and forecast expansion opportunities; and surface churn-risk signals with save plans.
  • Produce a weekly leak report quantifying the dollar impact of funnel gaps, proposing fixes, assigning owners and dates, and tracking issues to closure.
  • Deliver a weekly forecast with commit and best-case ranges and week-over-week movement, and snapshot pipeline weekly to measure forecast accuracy.
  • Own the deck, agenda, and follow-ups for the weekly Revenue Council executive meeting.
  • Own the Revenue Operations technology stack, including customer relationship management, marketing automation, sales engagement configuration, data integrity, integration health, adoption, and artificial-intelligence-enabled improvements.
  • Partner with Finance on bookings targets, quota and capacity planning, and commission modeling.
  • Direct and develop the Revenue Operations analyst and marketing operations partner, with clear ownership of dashboards, reports, and alerts.
Desired Qualifications
  • Experience building and scaling Revenue Operations teams is a plus.
  • An MBA or advanced degree in a relevant field is a plus.
  • Experience with Salesforce and HubSpot or Marketo is preferred.

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.