Responsibilities

• Own performance outcomes for Streaming TV and OLV campaigns, from planning and activation through optimization, analysis, and client-ready reporting
• Take accountability for pacing, KPIs, and issue resolution, including identifying problems before they escalate and driving them to resolution
• Act as a client-facing partner for mid-market and enterprise advertisers, clearly explaining performance, insights, tradeoffs, and recommendations in collaboration with internal teams
• Use performance data to improve results, identify scaling opportunities, and support long-term, evergreen client growth
• Partner with Product, Engineering, and Data Science to surface issues, provide feedback, and improve programmatic tools, workflows, and measurement over time
• Leverage and help develop AI-powered tools and automation to improve campaign analysis, optimization workflows, and speed of learning across accounts
• Apply learnings quickly across clients, platforms, and strategies in a fast-moving AdTech environment

Requirements

• 2+ years of hands-on experience in digital media, performance marketing, or strategy roles, including planning, activating, and reporting on media buys
• Direct experience working in at least one major DSP, with a strong understanding of why bidding strategies and optimization levers are used and the ability to evaluate when they are or are not working
• Solid understanding of the marketing and sales funnel, with experience optimizing toward performance KPIs
• Strong analytical judgment, with the ability to prioritize impact, make tradeoffs, and recommend next steps with incomplete or imperfect information
• Clear ambition to grow beyond a purely executional role by taking on increasing ownership, solving ambiguous problems, improving processes, and stepping into more complex client and strategic work
• Ability to form and defend a point of view using data, even when there is no obvious or “correct” answer
• Highly organized and detail-oriented, while still able to think at the system and account level
• Clear communicator who can explain why something happened, articulate recommendations, and push back when something does not make sense
• Strong spreadsheet and presentation skills (Google Sheets, Slides), including working with formulas and large datasets, and an interest in learning new technology
• Nice to have: Experience working in walled garden platforms (for example Amazon, YouTube, Meta, or similar), with an understanding of their measurement constraints, optimization levers, and tradeoffs

Preferred

• Nice to have: Experience working in walled garden platforms (for example Amazon, YouTube, Meta, or similar), with an understanding of their measurement constraints, optimization levers, and tradeoffs
• AI forward – you embrace AI for process and productivity

Benefits

• Competitive salary ($80,000 - $100,000) 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