Top Tech Jobs & Startup Jobs

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

Manage a portfolio of self-service clients, guiding onboarding, campaign planning, launching, and optimization across linear, streaming, and programmatic TV. Provide training, performance-focused recommendations (CPA, CAC, ROAS), act as primary client contact, collaborate with media, product, engineering and data teams, and drive platform adoption and client success.

Design, scale, and automate high-throughput AWS infrastructure using Terraform. Administer production Kubernetes clusters with cost-optimization, participate in on-call rotations and incident response, build CI/CD pipelines (GitLab CI or Jenkins), strengthen observability (Prometheus/Grafana/Datadog), and write automation tooling in Python, Go, or Bash.

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

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.

Lead the Product Management organization focused on AI-powered media buying and optimization, setting vision, strategy, and developing product leaders.

The Account Executive will drive new business growth in the TV advertising sector, manage sales cycles, negotiate deals, and collaborate with internal teams to support account growth.

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 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.