Director Strategic Partnerships
Prophecy
Director Strategic Partnerships
Prophecy
Low-code data engineering for Spark/Airflow
About Prophecy
Prophecy is building the next generation AI-powered data prep and analysis platform. Our platform enables business analysts and data teams to transform raw data into reliable, production-ready datasets and insights faster, using modern data infrastructure and AI-driven capabilities. We work with leading enterprises to simplify how organizations prepare, analyze, and operationalize data, while maintaining strong governance, security, and operational control. Our mission is to make it dramatically easier for organizations to turn complex data into trusted insights that drive decisions.
About the Roles
We are looking for a Director of Strategic Partnerships who can do both: drive revenue through Prophecy's partner ecosystem, and build an effective partner program. This is an early-stage, high-ownership motion, the playbook is still being written, and you'll have real influence over how we engage partners, what good looks like for partner-sourced pipeline, and how we build durable co-sell relationships with Snowflake, Databricks, GCP field and partner teams.
You will sit at the intersection of sales, partnerships, and strategy, owning partner performance while building the programs and processes that scale it. You'll work directly with our AEs and SEs to bring partners into deals at the right moments, and you'll serve as the primary point of contact for our strategic cloud and ecosystem partners.
What You’ll Own
Partner Revenue & Pipeline
Deal Execution & Co-Selling
Partner Relationships & Enablement
Foundation Building
What We’re Looking For
Preferred
Strongly Preferred
Seniority: Mid to Staff Level
Location: Bay Area, CA or Remote
What Prophecy Offers:
Don’t miss the rocket ship, join Prophecy and build the next data revolution!
Prophecy.io offers a subscription-based, low-code data engineering platform that helps data teams build and manage data pipelines using Apache Spark and Apache Airflow. Users design Spark workflows and Airflow schedules through a low-code UI, while the platform handles execution, monitoring, lineage, and metadata search across pipelines. It differentiates itself by tightly integrating Spark and Airflow in one environment with strong metadata management and column-level lineage for governance at scale. Its goal is to help medium- to large-sized organizations accelerate data pipeline development and governance with reduced coding and increased visibility and productivity.
Explore more opportunities at Prophecy