Creative Chaos
B2B • SaaS • Productivity
Creative Chaos is an innovation delivery agency that partners with businesses of all sizes to develop and bring products to market. They focus on creating user-centered experiences and translating consumer insights into innovative products. They offer services such as team augmentation, MVP (Minimum Viable Product) development, and DevOps and cloud solutions to help businesses innovate, develop, and deliver products efficiently. Creative Chaos acts as an extension to their clients' teams, providing support and expertise throughout the product development process.
Director of Innovation Delivery
Job not on LinkedIn
October 3
Creative Chaos
B2B • SaaS • Productivity
Creative Chaos is an innovation delivery agency that partners with businesses of all sizes to develop and bring products to market. They focus on creating user-centered experiences and translating consumer insights into innovative products. They offer services such as team augmentation, MVP (Minimum Viable Product) development, and DevOps and cloud solutions to help businesses innovate, develop, and deliver products efficiently. Creative Chaos acts as an extension to their clients' teams, providing support and expertise throughout the product development process.
📋 Description
• Stand up and run squads (Discovery → Prototype → Product → Platform & SRE). • Design and ship RAG/agent systems: pick models (e.g., Anthropic Claude, OpenAI, Google, or open-weights like Llama/Mistral), define tools/functions, and choose retrieval (default Postgres + pgvector, scale to Weaviate/Qdrant/Pinecone when needed). • Operate AI safely: evals & guardrails, structured outputs (JSON/Schema), PII redaction, refusal policies, cost/latency budgets, and LLM observability. • Own delivery outcomes: SLOs, quality, cost, velocity; release with feature flags and canaries. • Be client-facing: discovery, scoping, SoW, roadmap, QBRs. • Hire/coach Tech Leads, EMs, and PMs; level up practices.
🎯 Requirements
• 8–12+ yrs engineering; 4+ yrs leading multi-team delivery; shipped production web/mobile systems at scale. • Shipped at least one production AI app using Claude/GPT/Gemini/Llama/Mistral, backed by retrieval (pgvector or a vector DB) and a basic eval/guardrail pipeline. • Implemented orchestration (LangGraph/DSPy or Temporal for durable workflows), rerankers (e.g., Cohere/Jina/Voyage), and prompt/tool versioning. • Built with modern cloud + data: serverless/K8s, Terraform, OpenTelemetry, feature flags/experimentation. • Excellent client communication and commercial sense (SoWs, staffing, utilization).
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