Programmatic Media Manager

Tatari•Los Angeles, CA

23h•$80,000 - $100,000•Hybrid

About The Position

Tatari is on a mission to revolutionize TV advertising. Founded in 2016 to help transform the antiquated world of TV advertising through the intelligent application of AI and machine learning, Tatari helps some of the world’s fastest growing brands including Chime, Calm, Tecovas, Manscapped, Saatva, and Liquid I.V., reach their customers using linear and streaming TV ads. Our platform combines sophisticated media buying with proprietary analytics to turn TV advertising into an automated, digital-like experience, enabling businesses of any size to advertise on TV. That approach has earned Tatari broad industry recognition, including being named Best CTV AdTech Platform in the 8th annual MarTech Breakthrough Awards, as well as honors from Digiday (Best Connected TV Platform), AdExchanger (Most Innovative TV Advertising Technology), and Business Insider (Hottest AdTech Companies). Tatari has also been recognized as the Best Place to Work by Inc. Magazine. Backed by an executive team of former founders and senior leaders from companies including Shazam, TrueCar, AdapTV, LiveRail, Amazon, Google, Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next major era. As a Programmatic Media Buyer, you will own performance outcomes for Streaming TV and OLV campaigns across a portfolio of mid-market and enterprise clients. This is a client-facing role for someone who wants real responsibility early, not a task-based execution seat. You will work hands-on in programmatic every day, but success in this role depends far less on knowing every tool on day one and far more on how you think: your ability to diagnose problems, form a point of view, communicate tradeoffs, and follow through when things are ambiguous. We are open to candidates from adjacent performance marketing or account management backgrounds who are excited to learn Streaming TV, pick up new platforms quickly, and take ownership early. This is not a role for someone looking to simply “run campaigns” or follow static playbooks.

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 Haves

Experience working in walled garden platforms (for example Amazon, YouTube, Meta, or similar), with an understanding of their measurement constraints, optimization levers, and tradeoffs

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