Director of Product - AI-Driven Client Ops & Enablement

KLDiscovery

McLean (VA)

On-site

USD 160,000 - 185,000

Full time

14 days+
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Job summary

KLDiscovery is seeking a Director of Product to own tech enablement for Client Services and Operations, driving operational excellence across how we deliver for clients. You will lead three flagship products: client workflow orchestration and automation, AI-powered anomaly detection, and the client portal with real-time visibility into data, status, and SLAs.

You will prototype with AI, write PRDs, build workflows, and ship features in partnership with CS/OPS teams and the AI Architect.

Qualifications

  • 7+ years in product management.
  • AI prototypes and specs that read like blueprints.
  • AI-native: fluent in gen AI (LLMs, agents, RAG, evals).
  • Experience building internal tools or B2B operations software.
  • Track record delivering automation and workflow consolidation.
  • Experience shipping customer-facing portals or self-service products.
  • Strong technical background and ability to read complex data workflows.

Responsibilities

  • Own three flagship products and drive operational excellence across CS & OPS.
  • Define metrics (cycle time, quality, SLA, automation coverage) and instrument platform in real time.
  • Translate operational pain into product strategy and roadmap across auth, data, and AI components.

Skills

Product management
AI prototyping
AI-native
Automation
Orchestration
Self-service portals
Stakeholder management
Leadership
Data-driven prioritization

Tools

APIs
Workflow platforms

Job description

KLDiscovery is seeking a Director of Product to own tech enablement for Client Services and Operations, driving operational excellence across how we deliver for clients. You will lead three flagship products: client workflow orchestration and automation, AI-powered anomaly detection, and the client portal with real-time visibility into data, status, and SLAs.

You will prototype with AI, write PRDs, build workflows, and ship features in partnership with CS/OPS teams and the AI Architect.

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