Principal Product Manager, Reporting and Measurement

Responsibilities

• Manage the entire product life cycle from ideation to prototyping, testing, design, launch, and post-launch analytics, under the guidance of senior team members.
• Collaborate with stakeholders including engineering, media-buying, data science, sales, marketing, and client management.
• Help define the company’s short- and long-term product roadmap by translating vision into specific product solutions.
• Provide thought leadership, management, and execution for data initiatives to drive results for TV advertisers.
• Understand customer requirements and synthesize product features to prove the full impact of TV marketing campaigns, balancing current capabilities with future plans.
• Monitor industry trends, competition, and position Tatari’s products accordingly.

Qualifications

• 6+ years of product management experience, with emphasis on customer-facing data & analytics products (bonus for advertising or marketing technology).
• Proven ability to thrive in high-ambiguity environments.
• Passion for features leveraging data, analytics, and ML/GenAI; strong analytics sense to extract signals from large datasets and build stories through data visualization.
• Experience partnering with Design via user research and product design to address customer needs.
• Strong communicator with excellent people skills for interacting with teams, clients, and vendors; ability to present roadmaps compellingly to senior leadership.
• Success in developing high-leverage, hard-to-copy features that delight customers and grow the business.
• Strong in customer obsession, Agile, user stories, written/verbal communication, organization, and problem-solving.
• Hands-on experience specifying and shipping products on ETL and calculation pipelines; comfortable with pipeline design, data modeling, batch vs. real-time tradeoffs, and end-to-end metric computation.
• Familiarity with audience and reach measurement (e.g., Nielsen ONE, cross-platform reach/frequency, deduplicated audience metrics, incremental reach).
• Understanding of TV/advertising measurement beyond direct-response (CPA/ROAS): brand lift, upper-funnel, audience-based metrics, including modeling and limitations.

Nice-to-Haves

• Expertise in data pipelines, data science-driven analytics, and data visualization/storytelling.
• Ability to discuss novel DS techniques for big data problems and design choices for intuitive presentation.

Compensation & Benefits

• Total compensation: $175,000 - $225,000 + Equity
• Health insurance for you and dependents
• 401K, FSA, and commuter benefits
• $150 monthly spending account
• $1,000 annual continued education benefit
• $500 Newbie Productivity Perk
• Unlimited PTO and sick days
• Monthly Company Wellness Day Off
• Snacks, drinks, catered lunches, team building events
• Hybrid: 2 days per week in office