Principal Technical Product Manager - D/Cipher Platform

About The Position:

As the Principal Technical Product Manager for Identity and Measurement, you will be responsible for driving the product strategy, development, and execution of D/Cipher’s Data Management Platform. You will scale D/Cipher’s identity collaboration and targeting, and build and maintain the tools designed to enhance clean room activation. As an end to end product manager you will work closely with cross-functional teams to scale industry leading solutions by translating product requirements into engineering development. This role requires a data driven approach to integrations with external partners, which requires you build repeatable pipelines and establish KPI’s and actionable insights. Your goal will be to deliver solutions that maximize the efficiency and effectiveness of our ad tech offerings.

This role requires efficiency in agile development processes, collaborating in sprint planning, backlog grooming, and effective team and leadership communication. You will collaborate with Data Strategy, Measurement, and Product Marketing to identify industry trends, and translate their needs into product requirements. 

Hybrid 3x a month 

In-office Expectations: This position is hybrid, with the expectation to work in-office at least three times per month.

About the Positions Contributions:

• Product Strategy and Execution:

  • Define and communicate the product strategy and technology development needed across the data products for identity and measurement.

  • Collaborate with internal and external stakeholders to seamlessly integrate and maintain scalable data solutions with privacy best practices in mind.

  • Develop and maintain a product roadmap aligned with business objectives and customer needs.

  • Weigh and present opportunities to leadership on data collaborations and new scalable solutions.

• Product Development and Management:

  • Collaborate with engineering to design and build innovative identity solutions using insights and analytics to assess and optimize D/Cipher platform performance. 

  • Prioritize features and enhancements based on user feedback, business impact, and technical feasibility.

  • Oversee the entire product lifecycle, from concept to launch and post-launch optimization.

• Collaboration with Data Strategy, Research, and Measurement teams:

  • Partner closely with Data Strategy to identify and implement data collaboration workflows and development timelines.

  • Facilitate the integration of internal data science sets and external data partner sets and establish metrics for success.

  • Ensure that identity and measurement development products have outputs that translate into actionable product and business outcomes.

• Data-Driven Decision Making:

  • Leverage data analytics to inform product decisions, measure success, and identify areas for improvement.

  • Develop and monitor key performance indicators (KPIs) to assess product performance and impact.

  • Implement A/B testing, regression, and other methodologies to validate product hypotheses and optimize features.

• Stakeholder Collaboration:

  • Work closely with teams to ensure successful product adoption.

  • Gather and prioritize discovery feedback from internal and external stakeholders to drive product decisions and improvements.

  • Present product updates and results to executive leadership and other key stakeholders.

• Industry Expertise:

  • Stay up-to-date with the latest trends and advancements in ad tech, data analytics, and optimization techniques.

  • Represent the company at industry events, conferences, and client meetings to share insights and gather feedback.

• Strong understanding of product life cycle (Product requirements).

• Experience with programming advertising, big data sets, and audience data handling.

• Experience collaborating with advertising identity partners and building advertising programmatic technology.

• Proven track record of successfully launching and managing data-driven products.

• Excellent analytical, problem-solving, and decision-making skills.

• Strong communication and interpersonal skills, with the ability to collaborate effectively across teams.

• Familiarity with agile methodologies and tools such as JIRA, Confluence, or similar.

• Knowledge of digital advertising ecosystems, including DSPs, SSPs, and DMPs.

• Understanding of user experience design principles and best practices.