Senior Staff Product Manager

What you'll do

• Build customer empathy by engaging with advertisers, agencies, and platform partners to understand workflows and pain points
• Envision, design, and deliver data reporting and visualization solutions
• Lead product roadmap for advertiser and agency-facing dashboard platform focusing on AI-driven insights
• Align product peers, design, data science, engineering, and commercial teams around a unified roadmap
• Partner with Data Engineering to ensure accurate, scalable, and optimized reporting pipelines, data models, and visualization layers
• Serve as thought partner to engineering and data science on build vs. buy or partner decisions
• Make prioritization and trade-off decisions balancing technical feasibility and business impact
• Ensure consistency and integration across broader product suite
• Partner with sales and marketing to guide features into market and drive customer adoption
• Define, track, and communicate success metrics to executives and stakeholders

Requirements

• 10+ years of product management experience, ideally in B2B software or platform product roles
• Experience working on analytics platforms, advertiser dashboards, or large-scale data products
• Track record of innovation in emerging product spaces
• Familiarity with AI/ML-driven product development and performance optimization
• Experience managing products balancing model accuracy, latency, cost, and user experience
• Ability to evaluate system architecture and technical tradeoffs, partner with engineers and data scientists
• Proven experience in ad tech, martech, or digital media environments with strong domain knowledge
• Experience delivering complex, data-driven products from 0→1 and scaling existing solutions
• Experience working with cross-functional teams across multiple time zones and functions
• Clear, structured communication and strong decision-making under ambiguity
• Comfort operating in high-growth, fast-paced environments with matrixed teams
• Product mindset balancing innovation with operational excellence
• Preferred: technical background (Computer Science or Engineering degree)
• Preferred: experience with prompt engineering, fine-tuning, or foundation models
• Preferred: ability to explain AI capabilities and limitations to technical and non-technical stakeholders
• Preferred: experience defining AI product positioning
• Preferred: deep understanding of media buying ecosystem, measurement standards, advertiser workflows
• Preferred: familiarity with AI and data tooling such as Databricks, Snowflake, and SQL

Tech stack

Benefits