Full-Time

Sales Engineer

Confirmed live in the last 24 hours

Prophecy

Prophecy

51-200 employees

Low-code platform for data engineering workflows

Data & Analytics
Enterprise Software

Senior

Remote in USA

Category
Sales Engineering
Sales & Solution Engineering
Required Skills
Apache Spark
SQL
Data Analysis

You match the following Prophecy's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • 5-7+ years of experience as a sales engineer or similar role
  • Extensive experience collecting requirements, developing solution architectures, leading presentations and teaching prospective users or project teams how to use software similar to Prophecy.
  • Developed software, worked with Apache Spark, pipeline/ETL integrations in the past and want to stay close to the code.
  • Working knowledge of SQL and data processing
  • A passion for working on complex technical problems and have a strong understanding of how to transform and modernize prospects data pipelines on a large scale
  • Previous experience in a technical customer-facing role and a strong ability to build relationships with our partners, customers, and open-source users.
  • Able to work Central to East Coast Hours
Responsibilities
  • Work alongside the sales team to introduce Prophecy to our potential customers.
  • Be deeply connected to our clients desired business outcomes and clearly articulate how Prophecy can help them achieve that outcome.
  • Lead product and solution briefings, build proof-of-concepts (POC), run live product demos, and prototype Prophecy integrations.
  • Partner with the Prophecy product management, engineering and support teams to solve customer challenges and improve Prophecy products.
  • Identify and address customers' key technical objections and develop the engineering strategy to resolve those blockers to adoption.

Prophecy.io offers a low-code platform that simplifies the creation and management of data workflows and schedules, primarily using Apache Spark and Apache Airflow. Users can develop Spark workflows and manage Airflow schedules with minimal coding, making it accessible for data engineers and enterprises. The platform also includes features for searching metadata and tracking data lineage at the column level, which helps users understand the flow and transformation of their data. Unlike many competitors, Prophecy.io focuses on providing a comprehensive suite of tools that enhance productivity and efficiency in data operations without requiring extensive coding knowledge. The goal of Prophecy.io is to empower medium to large enterprises to optimize their data processing capabilities through a subscription-based service that offers these low-code tools.

Company Size

51-200

Company Stage

Series B

Total Funding

$113.3M

Headquarters

San Francisco, California

Founded

2017

Simplify Jobs

Simplify's Take

What believers are saying

  • Recent $47M funding round supports platform enhancement and customer base expansion by 2025.
  • Growing demand for low-code platforms boosts Prophecy's market potential in data engineering.
  • Cloud-native data platform trends create opportunities for Prophecy's expanded offerings.

What critics are saying

  • Competition from Alteryx and Matillion may threaten Prophecy's market share.
  • Rapid AI advancements could outpace Prophecy's feature integration, risking obsolescence.
  • Reliance on third-party platforms like Databricks poses integration and business model risks.

What makes Prophecy unique

  • Prophecy offers a low-code platform for data engineering, reducing development time and costs.
  • The integration of generative AI in Prophecy's platform automates complex data processes.
  • Prophecy's column-level lineage tracking enhances regulatory compliance and data management.

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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

-1%

1 year growth

0%

2 year growth

6%
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
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.

MRWeb
Jan 16th, 2025
Funds for Data Integration 'Copilot' Firm Prophecy

San Diego, CA-based data integration software company Prophecy has raised $47m in a Series B1 round of funding, and will use the money to expand operations and its business reach.

PR Newswire
Jun 4th, 2024
Prophecy Launches First Data Transformation Copilot For Databricks

Generative AI accelerates data preparation for analytics and AIPALO ALTO, Calif., June 4, 2024 /PRNewswire/ -- Prophecy , the data copilot company, today announced Prophecy Data Transformation Copilot for Databricks, the industry's first copilot that accelerates the preparation of raw data for analytics and AI applications. By leveraging generative AI, Prophecy Data Transformation Copilot expedites the development, deployment, and monitoring of enterprise-grade data pipelines native to the Databricks Data Intelligence Platform, ensuring the delivery of clean, trusted, and timely data for analytics.To learn more, read the blog here or visit the company at the Databricks Data+AI Summit on June 10-13th in San Francisco at booth #117."Generative AI is set to fundamentally change how we work with data, as technologies that leverage intelligence about data and language models provide novel approaches to transform, organize and get insights from data," said Stewart Bond, Vice President of IDC's Data Intelligence and Integration Software Service. "Copilots improve the accessibility and availability of data for technical and non-technical users throughout the enterprise, democratizing data and analytics."Cloud data platforms have become increasingly powerful to support a wide array of use cases, including streaming data pipelines, batch pipelines, and ad hoc SQL analyses. These platforms effectively handle diverse data types, from database tables to APIs to documents, and apply transformations such as cleaning, combining, aggregating, and structuring to prepare the data for utilization in AI and business intelligence.Enabling a large number of data users to be productive has proven challenging for organizations, because traditional visual ETL products fail to seamlessly integrate with code-based cloud data platforms. Consequently, many enterprises resort to developing code directly for these cloud data platforms which, while powerful, remains inaccessible to most data users. Copilots address this issue by democratizing access to cloud data platforms, thereby increasing productivity across the board."The industry's current approach to data transformation is broken