VP, Product technology

About the position

We are excited to expand our business in the advanced advertising space with our Consumer Canvas dataset and MRI-Simmons truth set. We are dedicated to transforming the way marketers can activate and measure with more transparency and confidence. The Product Technology leader will be responsible for driving the technical direction and engineering execution of our digital growth products. This role requires a deep understanding of big data product management, big data processing, analytics & measurement, audiences, and adtech. The ideal candidate will have a proven track record of leading data product teams, data products involving data science, and developing scalable solutions, and delivering impactful results. This role would report to the SVP of Product Strategy.

Responsibilities

• Lead Product Development: Guide and manage the team in the development of product features, ensuring they meet high-quality standards and align with the product roadmap.
• Make technical decisions that balance user needs, product goals, and business objectives.
• Ensure the product is scalable, maintainable, and aligned with long-term strategy.
• Foster a culture of innovation, encouraging the team to explore new technologies, tools, and approaches that can enhance the product and development process.
• Promote a culture of experimentation, iteration, and learning within the team.
• Collaborate with cross-functional teams, including product management, to drive cohesive strategies and achieve business objectives.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred.
• 10+ years of experience in data tech and product development leadership roles, with a focus on data products, data analytics, and adtech platforms.
• Strong communication and interpersonal skills.
• Commitment to team building and mentoring.
• Effective problem-solving skills and adaptability.

Nice-to-haves

• Knowledge of machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch).
• Familiarity with data integration tools and ETL/ELT processes.
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).
• Understanding of data governance principles and data privacy laws.

Benefits

• Flexible working environment
• Comprehensive health insurance
• Industry-leading parental leave
• Life insurance
• Education support
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program (EAP)