Mediavine

πŸ‘₯ 101-250InternetAdvertisingInformation TechnologyπŸ’Ό Private Company
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Mediavine is an internet publisher established in 2004, known for operating popular sites like The Hollywood Gossip and TV Fanatic. Launched alongside Food Fanatic in 2013, Mediavine collaborates with nearly 8,000 publishers to provide seamless ad management solutions focused on site speed, SEO, and growth in the digital advertising industry.

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πŸ“ United States

🧭 Full-Time

πŸ’Έ 145000.0 - 165000.0 USD per year

πŸ” Ad tech

  • 7+ years of progressive product management experience with a focus within ad tech.
  • 5+ years of experience as a technical product manager.
  • Strong understanding of header bidding, ad serving, OpenRTB, and ad tracking.
  • Experience with Prebid, GAM, and relevant ad technologies.
  • Strong awareness of industry participants including SSPs, DSPs.
  • Proficiency in data analysis, reporting, and interpreting ad metrics.

  • Define clear project milestones, timelines, and dependencies, ensuring on-time delivery of ad tech features and initiatives.
  • Help define and drive revenue enhancement strategies by innovating new monetization pathways and creating value-driven revenue streams for our publishers.
  • Optimize technical infrastructure to ensure seamless ad experiences across platforms.
  • Monitor performance metrics and identify opportunities for optimization, driving initiatives to improve ad monetization across our platforms.
  • Communicate progress, issues, and roadmap changes effectively to cross-functional stakeholders to ensure alignment and transparency.

LeadershipProject ManagementSoftware DevelopmentSQLAgileData AnalysisJavascriptProduct ManagementJiraStrategyAlgorithmsCommunication SkillsCollaborationAgile methodologiesStakeholder management

Posted 28 days ago
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πŸ“ United States

🧭 Full-Time

πŸ’Έ 145000.0 - 165000.0 USD per year

πŸ” Advertising management

  • 7+ years of product management experience, including defining, launching, and optimizing products and services.
  • 5+ years of experience working with data or analytics products.
  • Proficiency in SQL; ability to write and understand complex queries.
  • Experience with data warehousing solutions (e.g., Snowflake) and BI tools (e.g., Domo, Looker).
  • Experience with 0-to-1 product development.
  • Ability to communicate findings to cross-functional teams and senior leadership.
  • Experience in defining and tracking KPIs.
  • Preferred: Ad Tech industry experience and familiarity with OpenRTB, Prebid, and Google Ad Manager.
  • Preferred: Experience with HubSpot integrations.
  • Preferred: Engineering experience in Python.
  • Familiarity with data privacy regulations and compliance.
  • Ability to manage multiple projects simultaneously.

  • Oversee planning, execution, and delivery of data and analytics initiatives, ensuring timely completion with clear milestones.
  • Partner with engineering and business teams to align data strategy with company goals, ensuring regular updates and transparency.
  • Manage data infrastructure, including tools like Snowflake, Domo, and Looker.
  • Translate complex data needs into actionable requirements.
  • Define and track KPIs for data initiatives.
  • Collaborate with commercial teams on go-to-market strategies for data products.
  • Enforce data quality standards and conduct regular checks.
  • Identify and mitigate risks related to data infrastructure, quality, and security.
  • Stay agile to adapt to feedback and industry changes.

LeadershipPythonSQLAgileProduct ManagementSnowflakeProduct DevelopmentStrategyCommunication SkillsCollaborationCompliance

Posted 30 days ago
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πŸ“ United States

🧭 Full-Time

πŸ’Έ 155000 - 170000 USD per year

πŸ” Advertising management

  • Bachelor’s or Master’s degree in Analytics, Data Science, Statistics, Computer Science, or a related field.
  • 7+ years of progressive experience in an analytics or related role.
  • 3+ years of proven experience leading and managing a team of data analysts in a remote environment.
  • Experience with machine learning, modeling, algorithms, and knowledge extraction, preferred.
  • Experience with MLOps using Azure ML, ADF, Databricks, Google Cloud, or AWS, preferred.
  • Strong proficiency with data visualization tools (e.g., Looker, Domo, Tableau).
  • Strong proficiency in SQL and database programming.
  • Experience in programming languages such as Python and/or R.
  • Experience with data warehousing solutions (e.g., Snowflake, BigQuery, Redshift).
  • Excellent analytical and problem-solving skills.
  • Excellent communication skills for non-technical stakeholders.

  • Lead and mentor a high-performing team of data analysts.
  • Develop and maintain advanced analytics and reporting frameworks.
  • Collaborate with cross-functional teams to define and prioritize data science initiatives.
  • Present findings and insights to stakeholders.
  • Stay current with developments in data science and the AdTech industry.
  • Ensure compliance with data privacy regulations.
  • Collaborate with data engineering leadership for analytics project support.
  • Work with project and product management teams to set measurable KPIs.

LeadershipPythonSQLMachine LearningSnowflakeTableauAlgorithmsAzureData engineeringData scienceCommunication SkillsComplianceTeam management

Posted about 2 months ago
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πŸ“ United States

🧭 Full-Time

πŸ’Έ 275000 - 290000 USD per year

πŸ” Advertising management

  • Bachelor's degree in Marketing, Communications, Business Administration, or related field; Advanced degree preferred.
  • 15+ years of relevant experience in marketing, sales, partnerships, and GTM roles.
  • 10+ years of experience in technology, media, advertising services, or ad technology.
  • 5+ years of experience in a VP or higher-level role.
  • Strong understanding of digital media landscape and online marketing ecosystems.
  • Exceptional written and verbal communication skills.

  • Develop and execute comprehensive marketing strategies aligned with company goals.
  • Lead targeted initiatives to enhance brand awareness and drive revenue growth.
  • Collaborate cross-functionally to enhance customer experience.
  • Lead a high-performing marketing team and cultivate a culture of innovation.
  • Oversee branding, demand generation, PR, communications, events, and product marketing.
  • Manage annual marketing budget and assess campaign effectiveness.

LeadershipSalesforceStrategyContent creationCommunication SkillsCollaborationBudget management

Posted about 2 months ago
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πŸ“ United States

🧭 Full-Time

πŸ’Έ 55000 - 115000 USD per year

πŸ” Advertising management

  • 2+ years of experience in Customer Success or a related field.
  • Mediavine experience preferred.
  • Experience in a publisher-facing role.
  • Strong proficiency with Google Suite.
  • Experience with communication platforms like Slack.
  • Experience working with a CRM such as Hubspot or Salesforce.
  • Strong critical thinking and analytical skills.
  • Excellent time management and organizational skills.
  • Exceptional written and verbal communication skills.
  • Ability to travel for team retreats and events.

  • Manage an established portfolio of publishers, focusing on retention and growth.
  • Take on new accounts, build rapport, and foster trust and long-term partnerships.
  • Proactively assess potential risks of churn and implement solutions.
  • Advocate for publisher needs and address requests.
  • Use data to provide tailored recommendations and deliver periodic business reviews.
  • Maintain communication with each publisher and monitor their social accounts.
  • Collaborate with internal teams to resolve issues and share key trends.

Data AnalysisSalesforceCommunication SkillsAnalytical SkillsCollaborationMicrosoft ExcelTime ManagementCustomer Success

Posted about 2 months ago
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πŸ“ United States

πŸ’Έ $115,000 - $130,000 per year

πŸ” Advertising management

  • 3+ years of experience in a data engineering role.
  • Strong Python skills (Understands tradeoffs, optimization, etc).
  • Strong SQL skills (CTEs, window functions, optimization).
  • Experience working in cloud environments (AWS preferred, GCS, Azure).
  • An understanding of how to best structure data to enable internal and external facing analytics.
  • Familiarity with calling APIs to retrieve data (Authentication flows, filters, limits, pagination).
  • Experience working with DevOps to deploy, scale and monitor data infrastructure.
  • Scheduler experience either traditional or DAG based.
  • Comfortable working with multi-TB cloud data warehouses (Snowflake preferred, Redshift, Big Query).
  • Experience with other DBMS systems (Postgres in particular).
  • Nice to haves: experience with web analysis such as creating data structure that supports product funnels, user behavior, and decision path analysis.
  • Understanding of Snowflake external stages, file formats and snowpipe.
  • Experience with orchestration tools particularly across different technologies and stacks.
  • Experience with dbt.
  • Knowledge of Ad Tech, Google Ad Manager and all its fun quirks.
  • Familiarity with event tracking systems (NewRelic, Snowplow, etc).
  • Experience with one or more major BI tools (Domo, Looker, PowerBI, etc).

  • Create data pipelines that make data available for analytic and application use cases.
  • Develop self-healing, resilient processes that do not require constant care and feeding to run smoothly.
  • Create meaningful data quality notifications with clear actions for interested parties including other internal teams and other members of the data and analytics team.
  • Leading projects from a technical standpoint, creating project Technical Design Documents.
  • Support data analysts and analytics engineers ability to meet the needs of the organization.
  • Participate in code reviews, understanding coding standards, ensuring test coverage and being aware of best practices.
  • Build or implement tooling around data quality, governance and lineage, in the dbt framework and Snowflake but external to that as needed.
  • Provide next level support when data issues are discovered and communicated by the data analysts.
  • Work with data analysts and analytics engineers to standardize transformation logic in the dbt layer for consistency and ease of exploration by end users.
  • Enable analytics engineers and data analysts by providing data modeling guidance, query optimization and aggregation advice.

AWSPythonSQLSnowflakeData engineeringPostgresDevOps

Posted 3 months ago
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