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Prophecy

Low-code data engineering for Spark/Airflow

Director Strategic Partnerships

Business Development & PartnershipsConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • 6+ years in partner sales, channel sales, or alliances at a B2B SaaS company, with a quota and a track record.
  • Ability to generate pipeline and close revenue through cloud ecosystem partners, rather than only manage relationships.
  • Experience co-selling with hyperscaler field teams such as Snowflake, Databricks, Google Cloud Platform, Amazon Web Services, or Azure.
  • Ability to operate as both a hunter and a builder, working deals and designing the surrounding motion.
  • Ability to recognize when and how to involve a partner and keep deals moving.
  • Ability to forecast with integrity, maintain clean customer relationship management records, and surface blockers early.

Responsibilities

  • Own and exceed partner-sourced and partner-influenced revenue targets on a quarterly basis.
  • Generate pipeline through Snowflake, Databricks, and Google Cloud Platform field account executives and partner development managers by building relationships that produce qualified, sourced opportunities.
  • Drive joint account mapping and target account activation against Prophecy's ideal customer profile: enterprises running Alteryx on Snowflake or Databricks.
  • Activate co-sell motions through marketplace programs, including Google Cloud Platform Marketplace, Snowflake Partner Network, and Databricks Marketplace, and through joint field events.
  • Work with Marketing to design co-marketing initiatives and demand generation activities that drive inbound demand from partner channels.
  • Serve as Prophecy's lead on partner-sourced and partner-influenced deals from discovery through close.
  • Work with account executives and sales engineers to involve cloud partners in active deal cycles, defining roles, handoffs, and shared accountability for outcomes.
  • Own the Prophecy Express offer and Alteryx migration motion in partnership with Snowflake, Databricks, and Google Cloud Platform field teams.
  • Manage deal registration, co-sell processes, and pipeline tracking across partner portals and Salesforce.
  • Build and maintain working relationships with cloud partner field account executives, partner development managers, and alliance managers to generate consistent pipeline referrals.
  • Serve as Prophecy's primary point of contact for strategic partner communications, quarterly business reviews, and co-sell coordination.
  • Keep partners informed and enabled on Prophecy's core positioning, displacement motion, and key use cases so they can refer and co-sell confidently.
  • Contribute to co-sell playbooks, partner go-to-market frameworks, and joint solution narratives as the motion matures.
  • Track partner pipeline health, forecast partner-attached revenue, and report weekly on pipeline created and deals advanced.
  • Collaborate with Revenue Operations to ensure partner attribution, customer relationship management hygiene, and accurate sourced-versus-influenced reporting.

Desired Qualifications

  • Background in data engineering, analytics, or the modern data stack, including Snowflake, Databricks, dbt, or Alteryx.
  • Familiarity with Alteryx displacement or legacy platform migration motions.
  • Prior work at or with Snowflake, Databricks, or Google Cloud Platform, with field-level relationships that can be activated.
  • Experience with marketplace co-sell mechanics, including Google Cloud Platform Marketplace, Snowflake Marketplace, or Amazon Web Services Marketplace.

About the Company

Prophecy

Low-code data engineering for Spark/Airflow

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.

Company size
51-200
Company stage
Series B
Total funding
$116.5M
Headquarters
Palo Alto, CA
Founded
2017

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