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Prophecy

Low-code data engineering for Spark/Airflow

Marketing Sales Development Representative

Sales Development RepresentativeConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • At least 2 years of experience in a B2B SaaS sales development representative or business development representative role, with a record of meeting or exceeding quotas.
  • Ability to manage both inbound leads and outbound prospecting.
  • Ability to engage C-level executives in business and technical conversations.
  • Proficiency with Salesforce, LinkedIn Sales Navigator, Gong, ZoomInfo, and Claude.
  • Ability to use data to track performance and identify gaps in the sales and marketing handoff process.
  • Bachelor’s degree preferred, or equivalent professional experience.

Responsibilities

  • Manage the full top-of-funnel lifecycle, from inbound lead conversion to strategic outbound prospecting.
  • Serve as the first point of contact for high-value inbound inquiries; qualify leads through outbound emails, social selling, and discovery calls, and pass sales-ready leads to Sales for follow-up.
  • Conduct multichannel outreach into target accounts to book meetings for the Sales team.
  • Work with the Marketing team to provide feedback on lead quality and campaign effectiveness, and help shape messaging for upcoming marketing initiatives based on prospect feedback.
  • Transition qualified opportunities to Sales, providing detailed notes and context.
  • Maintain records in Salesforce to track lead sources, engagement history, and lead disposition.

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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