Top Tech Jobs & Startup Jobs

Lead day-to-day administration of advertising standards and brand safety across direct-sold, programmatic, sponsorship, and branded content. Advise on complex/high-risk ads, partner cross-functionally to implement policy, define scalable controls and tooling, use BI and AI-assisted review to monitor enforcement, and identify emerging risks and regulatory issues.

Design and implement high-performance Elixir backend services, architect and evolve microservices on Kubernetes, optimize systems for scale, resilience, observability, and security, integrate AI-assisted development tools, collaborate cross-functionally, and own critical backend architecture and service design.

Lead creative strategy and execution for consumer and B2B campaigns, broadcast promos, event sizzles, and motion work. Manage concepting, briefs, and creative direction across design, animation, editorial, and sponsorship deliverables. Collaborate with producers and cross-functional teams to prioritize work, maintain quality, and drive AI adoption in creative workflows while presenting and influencing senior stakeholders.

Design measurement frameworks, build scalable analytics and AI-driven workflows, implement causal and Bayesian models, run experimentation (A/B, incrementality), partner with data engineering, and deliver executive dashboards to optimize growth marketing.

Lead and grow a team building multi-platform test automation for Web, Mobile, and CTV. Own automation strategy, frameworks, CI/CD integration, and AI-augmented workflows. Drive quality gates, failure analysis, cross-functional alignment, data-driven reporting, and incident root-cause prevention while mentoring engineers and codifying AI-driven automation practices.

The role involves designing scalable distributed systems using Scala, enhancing feature stores for performance, and collaborating with ML engineers to resolve challenges.

Lead sourcing, negotiating, and closing content licensing deals with creators, podcast networks, and emerging-format partners. Own end-to-end deal lifecycle, collaborate with Creator Partnerships, Legal, Content Ops, Marketing, and Finance, use performance data to inform deal economics, and manage pipelines, onboarding, and partnership performance reviews.

Build and maintain title-level financial models to evaluate and forecast content investments (movies, series, sports, creators). Support deal valuation, negotiation analysis, greenlight and renewal decisions, aggregate slate-level economics, partner with FP&A and Data Science, and develop tools and templates to scale content valuation.