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Director of Innovation Delivery
Director of Innovation DeliveryCreative Chaos • PK
Director of Innovation Delivery

Director of Innovation Delivery

Creative Chaos • PK
30+ days ago
Job type
  • Quick Apply
Job description

Job Summary :

As a Director of Innovation Delivery you will build AI-native products. You’ll lead cross-functional Innovation Delivery Squads—owning outcomes end-to-end across web, mobile, AI agents, and streaming backends. You’re a hands-on technical leader who can scope, architect, staff, and ship; then run the product safely at scale.

Responsibilities :

  • 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).
  • Tech stack (you have hands on experience)

  • Models : Anthropic Claude; OpenAI; Google; open-weights (Llama, Mistral).
  • Orchestration & agents : LangGraph (or DSPy) for graphs; Temporal for durable, long-running tasks and SLAs.
  • Retrieval : Postgres + pgvector (default); Weaviate / Qdrant / Pinecone when scale / ops require; hybrid search with OpenSearch / Typesense.
  • Embeddings / rerankers : OpenAI / Voyage / E5 / BGE; Cohere / Jina / Voyage rerank.
  • Guardrails & evals : JSON / Pydantic schemas, red-team sets, promptfoo / Ragas / DeepEval; content / PII filters.
  • Observability : OpenTelemetry traces incl. prompt / tool spans; Langfuse / Arize Phoenix (or equivalent) + Sentry / Grafana.
  • App & data : Next.js 15 (RSC), TypeScript / Go / Python; Postgres; Kafka / Redpanda / NATS; dbt / lakehouse optional.
  • Ops : Cloud Run / ECS / K8s; Terraform / OpenTofu; GitHub Actions; LaunchDarkly / Unleash; Statsig / GrowthBook.
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    Director of Innovation Delivery • PK

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