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Crunchbase

👥 101-250💰 $50,000,000 Series D over 2 years ago🫂 Last layoff over 1 year agoDatabaseInformation ServicesBusiness IntelligenceLead GenerationMarketing AutomationSoftware💼 Private Company
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Crunchbase is a company that focuses on leveraging data and technology to enhance business development and machine learning solutions.

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Jobs at this company:

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🔥 Enterprise Solutions Engineer
Posted 2 days ago

📍 California, Colorado, Illinois, Florida, Georgia, Massachusetts, Nevada, New Jersey, New York, North Carolina, Oregon, Pennsylvania, South Carolina, Texas, Virginia, Washington

🧭 Full-Time

💸 145669.0 - 171375.0 USD per year

🔍 SaaS, Software Development

  • 3+ years of experience as a Solutions Engineer or Technical Account Manager
  • Proficient in Salesforce
  • Knowledge of the SaaS enterprise software space
  • Familiarity with sales tools like HubSpot, Consensus, Outreach, Snowflake, Airtable
  • Enable POC/POV execution from the technical side
  • Create and deliver impactful presentations and product demos
  • Assist in completing RFPs and security questionnaires
  • Build technical resources for the sales team
  • Identify key technical objections and develop solutions
  • Collaborate across departments for successful deal closures

SalesforceAPI testingRESTful APIsJSONSaaS

Posted 2 days ago
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🔥 Staff Data Scientist
Posted about 1 month ago

📍 California, Colorado, Illinois, Florida, Georgia, Massachusetts, Nevada, New Jersey, New York, North Carolina, Oregon, Pennsylvania, South Carolina, Texas, Virginia, Washington

🧭 Full-Time

💸 190000.0 - 210000.0 USD per year

🔍 Technology

  • Excellent communication skills to simplify complex issues.
  • Proven track record in dimensional data modeling and ETL pipeline development.
  • Proficiency in Python.
  • Familiarity with data warehousing technologies and cloud platforms.
  • Experience implementing NLP and ML algorithms in production environments.
  • Strong problem-solving skills.
  • Demonstrated leadership skills to guide and mentor team members.
  • Proficient with Google Office Suite or related software.
  • Architect and design new dimensional data models aligning with business objectives.
  • Build, monitor, and maintain analytics and production data ETL pipelines.
  • Develop tools for engineers and the Product team to query and analyze datasets.
  • Enable implementation of NLP and ML algorithms at scale.
  • Contribute to architecture design considering business requirements.
  • Mentor junior engineers and foster professional growth.
  • Collaborate with various teams to integrate solutions.
  • Evaluate and recommend tools to enhance data capabilities.
  • Communicate complex technical concepts to non-technical stakeholders.

PythonSQLETLMachine LearningData engineeringData science

Posted about 1 month ago
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