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The Client Services Manager will manage post-sales relationships with SMB clients, guiding them through campaign execution and providing performance analysis and optimization.

Lead end-to-end technical integrations for strategic clients, design and maintain public Python SDKs and APIs, resolve complex implementation and data pipeline issues, mentor junior engineers, propose product and architecture improvements, and collaborate with sales and cross-functional teams to drive technical discovery and scalable solutions.

Lead a team of data scientists in developing AI/ML products, manage projects, and collaborate with multiple teams to drive innovation in AI at Tatari.

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.

Develop audience-first convergent TV media strategies using Tataris measurement tools and third-party platforms. Lead RFPs and proposals, build scaling and scenario plans, pricing and budget recommendations, and client-facing narratives. Incorporate AI to surface insights, create reusable pitch materials, and maintain scalable planning processes while tracking win/loss performance.

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.

Develop audience-first media strategies using Tataris proprietary measurement and third-party platforms. Lead RFPs and proposals, build scaling and scenario plans, pricing and budget allocations tied to KPIs, and translate strategies into client-ready visuals. Incorporate AI tools into planning, create reusable pitch materials and playbooks, and track win/loss and proposal performance to improve processes.

Build scalable, automated data solutions and perform ad-hoc quantitative analyses to identify and forecast trends. Collaborate cross-functionally to optimize client marketing performance using Python, PySpark, and SQL, and produce insights and dashboards with Databricks and Tableau.

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.