Jobs at Tatari

Own post-sale relationships for a portfolio of mid-market clients, serving as a strategic advisor on TV advertising campaigns. Responsibilities include client relationship management, campaign optimization, translating performance data into recommendations, presenting to senior stakeholders, and collaborating with media buying, engineering, and data science teams. Travel of approximately 10% is required.

Owns performance outcomes for Streaming TV and OLV campaigns across planning, activation, optimization, analysis, and reporting. Manages pacing, KPIs, issue resolution, and client relationships for mid-market and enterprise advertisers. Uses performance data, AI-powered tools, and automation to improve results and scale campaigns, while partnering with Product, Engineering, and Data Science to enhance programmatic workflows and measurement.

Lead product for Reporting & Measurement, owning roadmap and lifecycle for intuitive reporting. Partner with engineering, design, and data science to build ETL pipelines, analytics, and visualizations that measure TV campaign impact beyond direct-response (brand, audience, upper-funnel). Prioritize data sources, modeling tradeoffs, and stakeholder collaboration to deliver customer-facing measurement products.

Design and ship measurement and reporting features from discovery through high‑fidelity execution. Conduct UX research, create flows, wireframes, prototypes, and data visualizations. Partner with PMs and engineers, iterate within technical constraints, and contribute to the Tatari Design System.

Lead backend development for Reporting & Measurement: architect and ship features, design relational and non-relational data models, scale distributed systems, mentor junior engineers, drive architecture discussions, and collaborate with Data Science and Product to deliver high-impact initiatives.

Design, build, and operate large-scale ETL pipelines to turn high-volume raw data into production-grade datasets for reporting and measurement. Own data products end-to-end from requirements through implementation, validation, and production rollout, collaborating with data science, backend/frontend engineers, and product. Ensure data quality, performance tuning, and operational reliability.

The Client Services Manager will manage post-sales relationships and campaign execution for SMB clients, optimizing performance through strategies focused on CPA, CAC, and ROAS, and building strong client relationships.

As a Staff Data Platform Engineer, you will ensure the operational health and reliability of the data platform, manage deployments, and collaborate with teams to support internal and customer-facing systems.

Lead the vision and execution of Tatari's intelligent advertising platform, focusing on AI-driven automation, strategic product roadmap, and cross-functional collaboration.

The Director of Product Management leads AI-powered media buying initiatives, developing strategies and overseeing a high-performing product organization to enhance TV advertising.

Lead end-to-end technical integrations for strategic clients, design and maintain public Python SDKs and APIs, troubleshoot client-side and pipeline issues, drive root-cause fixes, identify data quality and product gaps, mentor junior engineers, influence architecture and tooling decisions, and partner with sales on technical discovery and proofs-of-concept.

Lead developer experience and AI tooling across engineering: evaluate and deploy AI coding assistants, build LLM-powered agents and automations, speed up CI/CD and developer inner-loop, design ephemeral dev environments, define developer productivity metrics, and partner with application and data teams to increase engineering velocity.

Lead product design for Tatari's complex TV advertising platform, focusing on end-to-end UX from discovery to delivery. Own and advance the design system, mentor teammates, run research and usability testing, and collaborate with product and engineering to deliver cohesive, production-ready interfaces.

Set multi-year vision and roadmap for AI/ML recommendation and prediction products. Align executives, prioritize investments, partner with design, data science, and engineering to ship ML features, mentor PMs, and drive org-wide AI/ML product standards and strategy.