[Hiring] Product Manager, Data & Activation Platform @Navistone

Role Description

As our Product Manager, Data & Activation Platform at NaviStone, you own the roadmap and end-to-end execution for our core marketing data engine. This role sits at the intersection of infrastructure and intelligence:

• Manage the data pipelines that power our platform.
• Drive the development of predictive targeting models, attribution frameworks, and advanced analytics.
• Work closely with senior product leadership to align on direction and drive delivery with urgency and conviction.
• This is a 0→1 opportunity within a fast-moving platform.
• Bring deep familiarity with audience data, machine learning workflows, and cloud data warehousing.
• Be energized by ambiguity, not slowed down by it.

What You'll Do

• Identify and Size Opportunities: Find product opportunities across our data infrastructure and activation layers, connecting them clearly to revenue and marketer outcomes.
• Own the Vision: Define the roadmap for our data products including predictive modeling and attribution, setting priorities based on business impact.
• Data Infrastructure & Pipelines: Partner with engineering to design and scale the underlying data architecture that supports identity resolution and real-time activation.
• Model Productization: Collaborate with Data Science to move predictive models and attribution logic from concept into production-grade platform features.
• Hands-on Analysis: Dig into the data yourself, using SQL to query, interpret, and derive insights that sharpen product decisions.
• Governance & Privacy: Hold the bar on data quality and reliability, ensuring our models and pipelines respect identity, consent, and global privacy frameworks.
• Drive Internal & External Adoption: Enable go-to-market teams through documentation and direct engagement, ensuring customers understand the value of our data science capabilities.
• Iterative Execution: Define success metrics upfront and own performance analysis post-launch, with a bias toward iteration.
• Connect the Vertical: Operate as the glue between Product, Engineering, Data Science, and GTM teams to keep the platform moving independently.

Qualifications

• 5+ years in product management at an AdTech, MarTech, identity, or data platform company.
• Backgrounds in Customer Data Platforms (CDPs), data clean rooms, or attribution modeling are highly valued.
• Bachelor’s degree in Computer Science, Data Science, Business, or Information Systems; advanced degree is a plus.
• A track record of shipping technical data products and infrastructure, not just managing backlogs.
• SQL proficiency and hands-on comfort with Snowflake, BigQuery, or Redshift, as well as ETL/ELT tools like dbt or Airflow.
• Experience with BI tools (Looker, Tableau) and a deep understanding of how to track and define product KPIs from day one.
• You can translate technical architecture into business value for marketers and executives.
• You set your own agenda, identifying what matters in ambiguous environments without needing a pre-set priority list.
• You write requirements that engineers can build from and build roadmaps grounded in customer needs.

What Success Looks Like in 90 Days

• Onboarding: Develop a working understanding of our data pipelines, predictive models, and customer personas without needing hand-holding.
• Gap Analysis: Identify the biggest opportunity in our current data infrastructure or modeling roadmap and present a prioritized point of view.
• Trust: Engineering and Data Science trust your technical judgment; you are driving the vertical forward without waiting for direction.

Location

Remote, United States

Benefits

• Generous medical, dental, vision, and retirement benefits for you and your family.
• Countless professional and personal development opportunities to fuel your ambitions.
• Unlimited vacation, a generous number of paid holidays, and fun employee events throughout the year.