Jobs at Tatari

The Client Services Manager will manage post-sales relationships, execute media campaigns, optimize performance for SMB clients in TV advertising, and act as a trusted advisor.

Build scalable, production-ready data solutions and automations. Perform ad-hoc and deep-dive analyses using Python, PySpark, and SQL. Collaborate cross-functionally, use Databricks and Tableau to generate insights and optimize client marketing performance.

Lead a team of data scientists focused on AI/ML product development, manage projects, innovate algorithms, and promote collaboration across teams.

Manage a portfolio of self-service clients as primary post-sales partner. Lead onboarding, training, campaign setup, optimization, and reporting across linear, streaming, and programmatic TV. Collaborate with media, product, engineering, and data teams to drive performance (CAC, ROAS), surface client insights, and ensure platform adoption and success.

Develop audience-first convergent TV media strategies using proprietary measurement and third-party data. Lead RFPs and proposal development, build scaling and scenario plans, create pricing and budget recommendations, and incorporate AI tools to surface insights. Produce client-facing narratives, reusable pitch materials, and scalable planning systems while tracking proposal performance.

As a Staff Data Platform Engineer, you will ensure the reliability and operational health of the data platform, enforcing deployment protocols and collaborating across teams to support infrastructure needs, focusing on stability and operational discipline.

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 the vision and execution for AI-powered media buying and optimization, managing a high-performance team and shaping Tatari's product strategy in the AdTech landscape.

Own end-to-end technical integrations for strategic clients, design and maintain public Python SDKs and APIs, resolve complex data and client-side issues, mentor junior engineers, drive architecture and tooling decisions, and translate product gaps into prioritized roadmap recommendations within the AdTech space.

Lead strategy and execution for developer experience and AI tooling: deploy AI coding assistants, build LLM-powered agents and automations, improve CI/CD and developer inner loop, create ephemeral environments, instrument developer productivity metrics, and partner with engineering and data teams to drive adoption and measurable impact.

Lead multi-year vision and roadmap for AI/ML recommendation and prediction products. Align executives, prioritize using data and research, and guide engineering to deliver scalable ML features. Evangelize AI product standards, mentor other PMs, and partner with design, data science, and engineering through the full delivery lifecycle.

Lead end-to-end product design for a complex B2B TV-ad platform, conduct discovery research, create high-fidelity interfaces and prototypes, and own and advance the design system while mentoring teammates and collaborating with product and engineering.

The Client Services Manager will serve as a strategic advisor for agency partners, driving account growth through insights and collaboration, and presenting performance reviews.

Lead product for reporting and measurement, defining roadmap and shipping data-heavy analytics features. Partner with design, engineering, data science, and stakeholders to build ETL/calculation pipelines, audience and brand measurement, and intuitive visualizations that prove TV campaign impact beyond direct-response metrics.

Lead architecture and development of backend features for reporting and measurement. Mentor engineers, design relational and non-relational data models, build and scale distributed systems, collaborate with Data Science and Product, and drive technical architecture and code quality.

Design and ship measurement and reporting features from discovery through high-fidelity execution. Conduct UX research, create flows, wireframes, prototypes, and data visualizations. Collaborate with PMs and engineers, iterate with user feedback, and contribute to the Tatari Design System.

Design, build, and own large-scale ETL pipelines to produce production-grade analytics datasets. Translate requirements into specs, implement and validate data products, ensure data quality, debug distributed systems, and collaborate cross-functionally with data science, backend, frontend, and product teams for production rollouts.