Job description

Product Manager, Data & Activation Platform Delivering Growth! Delivering growth for marketers is what NaviStone is all about. For B2C brands in considered-purchase verticals, we deliver proven, time-tested results. The NaviStone platform empowers marketers by finding, activating, and converting lucrative audiences, with incredible impact! The Role 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: you will manage the data pipelines that power our platform while driving the development of predictive targeting models, attribution frameworks, and advanced analytics. You’ll work closely with senior product leadership to align on direction, then drive delivery with urgency and conviction. This is a 0→1 opportunity within a fast-moving platform: you bring deep familiarity with audience data, machine learning workflows, and cloud data warehousing and you’re energized by ambiguity, not slowed down by it. What You'll Do • Identify and Size Opportunities: You find product opportunities across our data infrastructure and activation layers, connecting them clearly to revenue and marketer outcomes. • Own the Vision: You define the roadmap for our data products including predictive modeling and attribution, setting priorities based on business impact. • Data Infrastructure & Pipelines: You partner with engineering to design and scale the underlying data architecture that supports identity resolution and real-time activation. • Model Productization: You collaborate with Data Science to move predictive models and attribution logic from concept into production-grade platform features. • Hands-on Analysis: You dig into the data yourself, using SQL to query, interpret, and derive insights that sharpen product decisions. • Governance & Privacy: You hold the bar on data quality and reliability, ensuring our models and pipelines respect identity, consent, and global privacy frameworks. • Drive Internal & External Adoption: You enable go-to-market teams through documentation and direct engagement, ensuring customers understand the value of our data science capabilities. • Iterative Execution: You define success metrics upfront and own performance analysis post-launch, with a bias toward iteration. • Connect the Vertical: You operate as the glue between Product, Engineering, Data Science, and GTM teams to keep the platform moving independently. What You Will Need to Succeed • 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: You’ve developed a working understanding of our data pipelines, predictive models, and customer personas without needing hand-holding. • Gap Analysis: You’ve identified the biggest opportunity in our current data infrastructure or modeling roadmap and presented 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: Cincinnati, OH in Over-the-Rhine; Hybrid role, in office 2 days per week Develop your best you, and reinvigorate for what’s next NaviStone’s benefits, programs, and perks are purpose-built to help you grow stronger professionally, and personally. We offer generous medical, dental, vision, and retirement benefits for you and your family. We never stop growing, and we never stop learning. Want to explore AI? Develop new coding skills? Become a better presenter? Grow your leadership skills? Learn advanced yoga? We offer countless professional and personal development opportunities to fuel your ambitions. We’re a Rocketship, but even Rocketships need rest! We work hard, and we go fast. But we also recharge! With unlimited vacation, a generous number of paid holidays, and fun employee events throughout the year, you can refuel and reinvigorate for the incredible journey ahead.

Requirements

Must-haves

Product Manager, Data & Activation Platform
Delivering Growth!
Identify and Size Opportunities: You find product opportunities across our data infrastructure and activation layers, connecting them clearly to revenue and marketer outcomes.
Own the Vision: You define the roadmap for our data products including predictive modeling and attribution, setting priorities based on business impact.
Data Infrastructure & Pipelines: You partner with engineering to design and scale the underlying data architecture that supports identity resolution and real-time activation.
Model Productization: You collaborate with Data Science to move predictive models and attribution logic from concept into production-grade platform features.
Hands-on Analysis: You dig into the data yourself, using SQL to query, interpret, and derive insights that sharpen product decisions.
Governance & Privacy: You hold the bar on data quality and reliability, ensuring our models and pipelines respect identity, consent, and global privacy frameworks.
Drive Internal & External Adoption: You enable go-to-market teams through documentation and direct engagement, ensuring customers understand the value of our data science capabilities.
Iterative Execution: You define success metrics upfront and own performance analysis post-launch, with a bias toward iteration.
Connect the Vertical: You operate as the glue between Product, Engineering, Data Science, and GTM teams to keep the platform moving independently.
What You Will Need to Succeed
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.
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: You’ve developed a working understanding of our data pipelines, predictive models, and customer personas without needing hand-holding.
Gap Analysis: You’ve identified the biggest opportunity in our current data infrastructure or modeling roadmap and presented a prioritized point of view.
Trust: Engineering and Data Science trust your technical judgment; you are driving the vertical forward without waiting for direction.

Nice-to-haves

Bachelor’s degree in Computer Science, Data Science, Business, or Information Systems; advanced degree is a plus.

Application prep

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Keywords to mirror

machine learningsqlgoairest

Platform: paycor
Effort: medium

Benefits

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Vision