Crunchbase

👥 101-250💰 $50,000,000 Series D over 2 years ago🫂 Last layoff over 1 year agoDatabase Information Services Business Intelligence Lead Generation Marketing Automation Software💼 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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🔥 Senior Director of Enterprise Sales

Posted 7 days ago

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

🔧 Requirements

NOT STATED

💡 Responsibilities

NOT STATED

Posted 7 days ago

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🔥 PR Communications Manager

Posted 11 days ago

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

🧭 Full-Time

💸 115356.0 - 135714.0 USD per year

🔍 B2B technology

🔧 Requirements

Proven track record of developing and executing successful PR strategies.
Exceptional written and verbal communication skills.
Experience with data and AI storytelling.

💡 Responsibilities

Lead and evolve the Crunchbase public relations and communications strategy encompassing corporate, product, and crisis communications.
Act as the primary liaison with our PR agency, providing direction and oversight to ensure their activities align with our strategic objectives and yield significant results.
Maintain and expand our existing media relationships with journalists, analysts, and industry influencers.

Communication SkillsSEOWritten communicationReportingCross-functional collaborationStrategic thinking

Posted 11 days ago

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🔥 Solutions Architect

Posted 25 days ago

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

🧭 Full-Time

💸 196437.0 - 231102.0 USD per year

🔍 Software Development

🔧 Requirements

Deep expertise in APIs, data platforms, and cloud environments (AWS, Azure, Snowflake, Databricks, Google Cloud, etc.).
Proficiency in data engineering, analytics pipelines, and AI/ML-derived data sets.
Ability to develop proofs-of-concept (POCs) and custom integrations to demonstrate Crunchbase’s value.

💡 Responsibilities

Partner with customers to evaluate and integrate Crunchbase’s data and API solutions into their business processes.
Deliver technical expertise through sales presentations, product demonstrations, and proof-of-concepts (POCs).
Act as a strategic advisor to customers to integrate Crunchbase’s Predictions & Insights into their own AI/ML models and decision-making workflows while guiding on best practices to leverage data.

AWSProject ManagementPythonSQLCloud ComputingData AnalysisETLMachine LearningSnowflakeSoftware ArchitectureAPI testingAzureData engineeringREST APICommunication SkillsAnalytical SkillsProblem SolvingCustomer serviceDocumentationExcellent communication skillsTeamworkCross-functional collaborationSales experienceData visualizationStrategic thinkingTechnical supportData modeling

Posted 25 days ago

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🔥 Revenue Operations Manager

Posted 29 days ago

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

🧭 Full-Time

💸 126081.0 - 148330.0 USD per year

🔍 SaaS

🔧 Requirements

Expert-level experience overseeing GTM Tech Stack including CRM (Salesforce), marketing automation platforms, sales engagement tools, business intelligence platforms and data enrichment solutions.
Ability to influence stakeholders across multiple channels for buy-in and solutions.
Robust understanding of analytics and proven ability to problem solve with a data driven mindset
Highly proficient in Microsoft Excel, PowerPoint, and other data systems.
Enjoys working in a dynamic environment, excels in creative problem-solving, and demonstrates hands-on work ethic.
Excellent communication and collaboration skills.
Proficient with Google Office Suite and other software tools.
Bachelor’s degree in Business Administration, Marketing, or related field preferred

💡 Responsibilities

Provide recommendations and take actions based on strategic objectives, forecasts, or performance metrics to improve sales efficiency by simplifying processes, evaluating new tools, allocating resources, and eliminating bottlenecks.
Continuously assess and refine revenue processes and policies including workflow collaboration between departments that implement transparency for deal desk operations and pricing to optimize deal outcomes.
Partner with sales reps and marketing to refine lead qualification processes by analyzing and reporting on campaign performance. Identify process improvement opportunities on lead routing, take action on implementing solutions and monitor for continued adherence.
Develop accurate forecasts planning for revenue, capacity and budget in partnership with Finance and GTM Leaders based on data-driven metrics and track key performance indicators.
Create dashboards to showcase insights and transparency at all levels for revenue teams and leadership.
Extract actionable insights from sales, marketing, and customer data to identify trends and opportunities throughout the customer lifecycle.
Own the Tech Stack while proactively identifying and evaluating technology solutions to automate tasks, improve data accuracy, and facilitate collaboration cross-functionally.
Serve as the business architect and project manager for all Sales and GTM process design requests.
Directly supervise a team to oversee their day-to-day activities and ensure alignment with company goals and standards.
Conduct regular performance reviews, set clear objectives, and provide constructive feedback to foster professional development and high-quality work.
Play an active role in hiring new team members as needed. Develop and implement training programs to enhance team skills and knowledge.
Act as a mediator in resolving any interpersonal or professional conflicts within the team, ensuring a positive and productive work environment.
Allocate resources effectively, including managing work schedules, balancing workloads, and ensuring the team has the necessary tools and information to perform their roles efficiently.

LeadershipProject ManagementSQLBusiness IntelligenceData AnalysisSalesforceAnalytical SkillsMicrosoft ExcelCross-functional collaborationData visualizationTeam managementStakeholder managementProcess improvementCRMData analytics

Posted 29 days ago

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🔥 Enterprise Solutions Engineer

Posted about 1 month ago

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

🧭 Full-Time

💸 170196.0 - 200230.0 USD per year

🔍 SaaS enterprise software

🔧 Requirements

5+ years of experience as a Solutions Engineer or Technical Account Manager
Customer-first mindset
Proficient in Salesforce
Knowledge of the SaaS enterprise software space, especially around sales tools such as HubSpot, Consensus, Outreach, Snowflake and Airtable

💡 Responsibilities

Work alongside sales and customer success as the ultimate product specialist.
Enable POC/POV execution from the technical side and leverage insights into data
Create and deliver impactful presentations, white papers, product demos, sample solutions, and discussions to increase awareness and drive adoption of Crunchbase products.
Assist in completing RFPs, including security questionnaires.
Build technical resources that empower the sales team in competitive scenarios.
Identify key technical objections and develop scalable strategies to resolve technical blockers.
Proactively collaborate cross-functionally to overcome challenges and ensure successful deal closures.
All technical pre/post-sales support. Includes customized application engineering and solutions, implementation, training, and maintenance. Assesses the application of firm products to meet customer needs.
May help prepare product specifications for development and implementation of client solutions.
Partner with clients’ leadership teams to showcase ideal workflows and use cases with our Enterprise Solutions.
Synthesize customer feedback and interactions to identify common themes or opportunities.

SalesforceAPI testingRESTful APIsJSONSaaS

Posted about 1 month ago

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🔥 Account Executive III

Posted about 1 month ago

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

🧭 Full-Time

💸 194625.0 - 228970.0 USD per year

🔍 Software Development

🔧 Requirements

Proven experience in data sales, including selling data products, analytics solutions, or data-driven services.
Strong understanding of data monetization strategies and experience navigating data licensing agreements.
Track record of exceeding sales targets in a data-focused environment, with expertise in pipeline management and deal execution.
Ability to articulate the value of data to customers, addressing use cases, compliance considerations, and ROI.
Experience working with technical teams to align sales efforts with data product capabilities and market needs
5+ years of experience selling SaaS products to Enterprise level customers
Must have experience selling data products and APIs.
Must have outbound prospecting experience
Experience in selling API products
Experience cross-selling as well as upselling/expanding accounts
Past experience working with internal executives and cross-functionally with other teams.
Experience collaborating cross-departmentally across Sales, Business Development, CS, Solution Engineering, PMM, and more.
Experience and expertise in MEDDPICC or similar methodology

💡 Responsibilities

Assess inbound leads to pinpoint new sales possibilities within an established funnel of potential customers.
Engage in outbound prospecting to expand the customer base according to target account profiles.
Meet or exceed assigned sales quotas with the autonomy to approach these targets in a manner that best suits your strengths and strategies while aligning with the company's sales philosophy.
Cultivate enduring relationships with customers.
Recognize upsell prospects and enhance existing accounts to tailor solutions for broader multi-team licenses.
Partner with SDRs to formulate ABM strategies for key target accounts.
Ensure a smooth hand-off from early qualification to closure.
Effectively work with Customer Success to ensure prospects' successful onboarding and help identify upselling/cross-selling opportunities within existing accounts.
Collaborate cross-departmentally across Sales, Business Development, CS, Solution Engineering, PMM, and more.
Performs other related duties as assigned.

SQLData AnalysisSalesforceCross-functional Team LeadershipAPI testingREST APICommunication SkillsRESTful APIsAccount ManagementSales experienceMarket ResearchData visualizationCRMData analyticsSaaS

Posted about 1 month ago

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🔥 Staff Data Scientist

Posted 3 months 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

🔧 Requirements

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.

💡 Responsibilities

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 3 months ago

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