Marketing Architects

Marketing

• Develop and launch media buys that align with performance and CPM goals across platforms.
• Monitor and optimize live campaigns to ensure delivery and efficiency.
• Analyze media performance to surface actionable insights and buying strategy recommendations.
• Partner with internal and external teams to support campaign execution and issue resolution.
• Manage relationships with media partners and uncover new opportunities for expansion.

Media Buyer

Data Scientist

• Lead a small, but mighty, team of data scientists to deliver high-impact machine learning systems
• Manage, mentor, and recruit data scientists; set goals, coach, and build a culture of experimentation, speed-to-market, and innovation
• Translate company priorities into a quarterly DS roadmap; define problem framing, success metrics, and stage-gates from research → production
• Oversee development of supervised/unsupervised, NLP/CV, and forecasting models using Python (pandas, scikit-learn, PyTorch/TensorFlow) and SQL
• Ensure reliable deployment on cloud platforms (AWS/Azure/GCP), Databricks, Docker/Kubernetes
• Champion data collection, labeling, and preprocessing standards; partner with Data Engineering on pipelines, observability, and lineage
• Act as the primary Data Scientist point of contact for cross-functional leaders; communicate technical concepts in plain language

Lead Data Scientist

Full-stack Engineer

• Design and ship end-to-end product features across frontend, backend, and AI services (TypeScript/Node or Python).
• Use AI assistants to scaffold code, then review, harden, and test it like a pro.
• Build evaluation suites (golden datasets, unit/integration tests) that gate releases for accuracy, safety, cost, and latency.
• Implement guardrails: prompt-injection mitigation, output validation, rate/abuse controls, PII handling, and secret management.
• Own vendor abstraction (OpenAI/Anthropic/Azure, vector stores, embeddings) with clean interfaces and fallbacks.
• Partner with Product/Design on scoping, and with Data/Infra on deployment, CI/CD, and runtime reliability.

AI Product Engineer – LLM-first Full-Stack

Product Designer

• Own the user experience and interface design of internal and client-facing products
• Lead UX/UI design across the full product lifecycle for internal and external platforms
• Develop and maintain scalable design systems that ensure clarity, consistency and speed
• Collaborate with product managers and engineers to align product vision with design execution
• Build prototypes and rapidly iterate based on feedback and evolving product needs
• Shape design direction across a growing portfolio of tools and platforms, reporting to VP of AI

Media Buyer

Lead Data Scientist

AI Product Engineer – LLM-first Full-Stack

Product Design Lead