Jobs at Tatari

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.

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.

Design, build, and operate large-scale ETL pipelines on Databricks/Delta Lake to produce curated analytics datasets. Collaborate with data science, backend/frontend engineers, and product from requirements through production, ensuring data quality, validation, performance tuning, and incident resolution.

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.

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.

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.

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.

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.

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.

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.

Responsible for ensuring the reliability, stability, and health of the data platform infrastructure. Duties include monitoring, maintaining systems, defining deployment protocols, and collaborating with data teams to uphold operational discipline.

The Data Science Analyst will automate data tasks, conduct ad-hoc analyses using SQL and Python, and collaborate with teams to optimize marketing performance.

Lead a team of data scientists to develop AI-driven features, manage project execution, and collaborate with cross-functional teams for innovation.