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iSpot.tv

đź‘Ą 251-500đź’° $325,000,000 Private over 2 years agoDigital MarketingAdvertisingReal TimeTest and MeasurementMarket ResearchBrand MarketingAnalyticsMarketingInformation TechnologySoftwaređź’Ľ Private Company
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iSpot.tv is a technology company focused on providing analytics and insights for the advertising industry, helping businesses measure the effectiveness of their television ads.

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Jobs at this company:

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🔥 Program and Incident Manager
Posted about 23 hours ago

đź“Ť Bellevue, WA; El Segundo, CA; New York, NY

🧭 Full-Time

đź’¸ 104000.0 - 130000.0 USD per year

🔍 Big-data SaaS

  • Bachelor's degree in Computer Science, Information Technology, Business Administration, or related field; advanced degrees or certifications are a plus.
  • Minimum 5+ years of experience in incident management and/or program management in a big-data SaaS environment.
  • Strong understanding of ITSM frameworks, incident management best practices, and proficiency in program management methodologies.

  • Lead the planning, execution, and delivery of cross-functional programs, ensuring alignment with business goals and timelines.
  • Manage high-priority incidents, ensuring timely resolution and coordination with technical teams.
  • Facilitate post-incident reviews and provide regular updates to stakeholders.

AWSAgileData AnalysisSCRUMJiraAzureRisk ManagementChange ManagementConfluence

Posted about 23 hours ago
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🔥 SVP, Data Science
Posted about 1 month ago

đź“Ť Bellevue, WA; El Segundo, CA; New York, NY

🧭 Full-Time

đź’¸ 250000.0 - 300000.0 USD per year

🔍 Ad measurement

  • Master’s or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related field.
  • 15+ years of experience in data science or analytics, with at least 5 years in an executive leadership role.
  • Demonstrated success in building and leading high-performing data science teams.
  • Proven track record of applying data science to drive business value.
  • Strong understanding of machine learning, AI, and statistical modeling techniques.
  • Excellent communication, leadership, and collaboration skills.

  • Develop and implement a comprehensive data science strategy aligned with the company’s vision and goals.
  • Serve as a key thought leader in the application of AI, machine learning, and advanced analytics for ad measurement.
  • Collaborate with executive leadership to integrate data science into corporate strategy.
  • Lead, mentor, and scale a multidisciplinary team.
  • Oversee data science projects ensuring quality outcomes, best practices, and data governance.
  • Partner with cross-functional teams to drive data-driven initiatives.
  • Lead the development of innovative measurement methodologies and stay updated on emerging technologies.

AWSPythonSQLArtificial IntelligenceGCPMachine LearningPyTorchData scienceTensorflow

Posted about 1 month ago
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🔥 Distinguished Engineer
Posted about 2 months ago

đź“Ť Bellevue, WA; El Segundo, CA; New York, NY

🧭 Full-Time

đź’¸ 190000 - 250000 USD per year

🔍 Ad tech

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • Minimum of 12 years of experience in software engineering, focusing on cloud infrastructure, data architecture, and large-scale data processing.
  • Proven experience in designing and scaling complex data-driven systems, ideally in ad tech.
  • Deep expertise in cloud platforms (AWS, GCP, Azure) and cloud-native architectures.
  • Strong programming skills in Python, Java, or Scala and understanding of distributed computing frameworks like Spark, Flink, Kafka.
  • Experience with modern data storage solutions like Snowflake or BigQuery and building real-time analytics pipelines.
  • Strong interpersonal skills and familiarity with ad tech ecosystems.

  • Define and implement a technical vision for iSpot’s measurement and data processing platform.
  • Lead the design of architecture for real-time data ingestion and analytics.
  • Collaborate with engineering and product teams to align technology with business goals.
  • Identify technical challenges and innovate solutions.
  • Mentor engineers in best practices and foster a culture of improvement.
  • Work with data science for accuracy and real-time processing.
  • Engage with product management to create user-centric solutions.

AWSLeadershipPythonCloud ComputingGCPJavaKafkaMachine LearningProduct ManagementSnowflakeProduct DevelopmentStrategyAzureData scienceSparkCommunication SkillsCollaborationProblem SolvingCompliance

Posted about 2 months ago
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