Manager Enterprise Sales (Ad Monetization) Pine Labs

5.0 - 9.0 years

0 Lacs

maharashtra

On-site

As a highly skilled and results-driven AdTech and Data Monetization Specialist, your role will involve leading and optimizing our digital advertising technology stack to unlock revenue opportunities through data-driven strategies. You will be responsible for managing our AdTech infrastructure, developing monetization strategies, and collaborating with cross-functional teams to enhance advertising performance and maximize the value of first-party and third-party data assets. Key Responsibilities: - Design, implement, and optimize AdTech solutions, including DSPs, SSPs, DMPs, CDPs, and ad servers like Google Ad Manager, The Trade Desk, and Adobe Experience Platform. - Develop and execute data monetization strategies leveraging audience segmentation, lookalike modeling, and programmatic advertising. - Manage partnerships with ad networks, exchanges, and data marketplaces. - Collaborate with Data, Product, and Marketing teams to ensure effective collection, enrichment, and activation of data for advertising and revenue purposes. - Oversee yield optimization for programmatic and direct-sold campaigns. - Stay updated with AdTech trends, regulatory changes (e.g., GDPR, CCPA), and competitive benchmarks through market research. - Define and monitor key KPIs including fill rate, CPM, eCPM, CTR, data revenue, and ROI. - Evaluate and onboard new platforms or partners to increase data monetization potential. - Ensure compliance with privacy regulations and internal data governance policies. Requirements: - Bachelor's degree in marketing, Computer Science, Data Science, Business, or a related field. - 5+ years of experience in AdTech, digital advertising, or data monetization. - Strong understanding of programmatic advertising ecosystems, real-time bidding, and data privacy laws. - Proficiency with tools like Google Ad Manager, The Trade Desk, Segment, Snowflake, or LiveRamp. - Experience with data analytics platforms such as Google Analytics, Looker, or Tableau. - Strong project management, analytical, and communication skills. What We Value in Our People: - Taking quick decisions and delivering with accuracy. - Showing ownership, making things happen, and building solutions. - Seeking continuous learning and taking pride in the work done. - Acting in the interest of the organization and empowering others to grow. - Empowering others with tough love and helping them develop.,

Posted 3 days ago

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Data Product Manager MHTECHIN

2.0 - 6.0 years

0 Lacs

maharashtra

On-site

As a Data Product Manager at our company based in Mumbai, you will play a crucial role in driving the development of data-driven products that align with our business objectives. Your responsibilities will involve collaborating with data engineers, analysts, and stakeholders to build and scale data-powered solutions. By defining and executing the data product roadmap, you will ensure that our data strategy meets both company goals and customer needs. Additionally, you will work on developing product features that enhance data accessibility, analytics, and AI/ML adoption. It will be your responsibility to integrate data-driven insights into products and decision-making processes while ensuring compliance with data governance, privacy, and security regulations such as GDPR and CCPA. Optimizing data pipelines, analytics platforms, and real-time data processing capabilities will also fall under your purview. Defining key performance indicators (KPIs) and success metrics to measure product performance and impact will be vital, as well as effectively communicating data strategies, insights, and product updates to leadership and stakeholders. To excel in this role, you should have 3-7 years of experience in product management, data analytics, or related fields. A strong understanding of data infrastructure, ETL pipelines, and data modeling is essential. Proficiency in SQL, Python, and data visualization tools like Tableau and Power BI is required. Familiarity with cloud platforms such as AWS, GCP, or Azure for data management is a plus. Your ability to translate business needs into data product features and roadmaps, along with excellent communication skills and experience in working with cross-functional teams, will be key to your success. Preferred qualifications include prior experience in data-driven SaaS, AI/ML products, or business intelligence platforms. Knowledge of Big Data technologies like Snowflake, Apache Spark, and Databricks, as well as experience with A/B testing, experimentation frameworks, and customer analytics, will be advantageous. An understanding of data monetization strategies and data-as-a-service (DaaS) models is also desirable. In return, we offer a competitive salary with performance-based incentives, the opportunity to work on cutting-edge data and AI-driven products, flexible working hours with remote/hybrid options, and learning and development opportunities with mentorship from senior leadership. If you are passionate about driving data product innovation and are eager to make a significant impact, we invite you to join our team as a Data Product Manager in Mumbai.,

Posted 1 week ago

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