Responsibilities

• Own the product vision, strategy, and execution for TV media buying and execution, end-to-end (“soup to nuts”)
• Define a compelling roadmap that differentiates the platform through automation and AI-driven capabilities
• Partner closely with Engineering, Data Science, and Media Buying to translate business and customer needs into clear, prioritized product requirements
• Drive feature prioritization and trade-offs based on customer impact, business value, and scalability of automated TV buying workflows
• Collaborate cross-functionally with Media Buying, Media Operations, Marketing, and Leadership to ensure alignment and successful launches
• Continuously monitor industry trends, competitive offerings, and emerging AI technologies to keep the product ahead of the evolving TV and CTV landscape
• Use data, customer feedback, and experimentation to iterate, optimize performance, and deliver measurable impact

Requirements

• 4+ years of product management experience in AdTech, with deep expertise in streaming and programmatic CTV advertising (linear TV experience is a strong plus)
• Proven track record of shipping impactful products, including building new capabilities or platforms from the ground up
• Strong communicator and influencer, able to articulate a clear product vision and defend roadmap decisions with data and conviction at the executive level
• Highly customer-centric, with demonstrated skill in uncovering real user needs, writing strong user stories, and solving complex workflow problems
• Experience partnering closely with Design to address diverse customer needs through user research, prototyping, and thoughtful UX decisions
• Passion for automation and AI-driven innovation, balanced with a pragmatic, execution-oriented mindset
• Comfortable operating in ambiguity and fast-moving environments, with a bias toward action and measurable outcomes
• Nice to haves: experience working with AI/ML-powered products or data-driven optimization systems; familiarity with TV measurement, attribution, or identity challenges

Preferred

• Nice to haves: experience working with AI/ML-powered products or data-driven optimization systems
• Nice to haves: familiarity with TV measurement, attribution, or identity challenges

Benefits

• Total compensation ($170,000-200,000/Annually)
• Equity compensation
• Health insurance coverage for you and your 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, and catered lunches at the office
• Team building events
• Hybrid RTO of 2 days per week in office