产品总监 - 客户服务技术赋能
Director of Product - Client Services Tech Enablement
关于KLDiscovery
KLDiscovery是一家全球电子发现和法律技术提供商，为大型律师事务所、企业法务部门和政府机构提供服务。我们开发并运营法律团队依赖的产品和服务，以大规模管理、处理和审查案件数据。我们在多个国家设有业务，并拥有包括AmLaw 200强律师事务所在内的客户群，我们处理行业中最庞大和最复杂的案件。
职位描述
我们正在招聘一位产品总监，负责为我们的客户支持和运营组织提供技术支持，推动我们为客户交付的运营卓越性。这是KLDiscovery中最具杠杆效应的产品角色之一。在客户支持和运营领域，通过工作流编排、自动化、人工智能以及为客户提供实时案件可见性，存在显著的提升机会。你将领导这一转型。
你将负责三个旗舰产品，这些产品涉及我们处理的每一个案件：我们的客户工作流编排和自动化平台、跨我们运营流程的AI驱动异常检测，以及为客户实时展示其数据、状态和SLA的客户门户。这项工作涉及大量法律数据在取证、收集、处理和审查中的流动，直接影响周期时间、质量率、律师体验和客户信任。
这是一个构建者角色，也是一个AI原生角色。你对现代生成式AI（LLMs、代理、RAG、评估）非常熟悉，并将其作为首选工具，而不是附加功能。你进行原型设计，使用AI撰写读起来像规格说明的PRD，构建原型图，当更快时亲自交付工作流，并与系统保持足够接近，以了解架构是否真的能实现你所承诺的功能。你将与客户支持和运营负责人以及AI架构师并肩工作，将运营痛点转化为已交付的产品。
我们提供具有竞争力的全面薪酬，包括基本薪资、奖金潜力、包容性福利、健康计划和福利。我们使用市场和行业数据来指导薪酬决策，同时考虑地理位置和劳动力市场、个人经验和业务需求。具体薪酬会有所不同，但目前该职位的年度基本薪资范围估计为16万美元至18.5万美元。
工作地点：远程（但候选人必须位于美国）
关键职责：
你将负责三个旗舰产品和运营流程
查看英文原文
About KLDiscovery
KLDiscovery is a global eDiscovery and legal technology provider serving large law firms, corporate legal departments, and government agencies. We build and operate the products and services that legal teams rely on to manage, process, and review case data at scale. With operations across multiple countries and a client base that includes AmLaw 200 firms, we handle some of the largest and most complex matters in the industry.
About the Role
We're hiring a Director of Product to own tech enablement for our Client Services and Operations organization, driving operational excellence across how we deliver for clients. This is one of the highest-leverage product roles at KLDiscovery. There's a step-change opportunity in CS and OPS to increase speed and quality through workflow orchestration, automation, AI, and giving clients real-time visibility into their matters. You'll lead that transformation.
You'll own three flagship products that touch every matter we run: our client workflow orchestration and automation platform, AI-powered anomaly detection across our operational pipeline, and the client portal that gives customers real-time visibility into their data, status, and SLAs. The work spans terabytes of legal data moving through forensics, collections, processing, and review, with direct impact on cycle time, quality rates, attorney experience, and client trust.
This is a builder's role and an AI-native role. You're fluent in modern gen AI (LLMs, agents, RAG, evals) and reach for it as a first-class tool, not a bolt-on. You prototype, use AI to write PRDs that read like specs, build mockups, ship workflows yourself when it's faster than waiting, and stay close enough to the system to know whether the architecture can actually deliver what you're promising. You'll work side-by-side with CS and Ops leaders, and the AI Architect to translate operational pain into shipped product.
We offer competitive total compensation that includes base pay, bonus potential, inclusive benefits, wellness programs, and perks. We use market and industry data to inform pay decisions while considering geography and labor markets, individual experience, and business needs. Individual compensation will vary, although a reasonable estimate of the current annualized base pay range for this position is $160,000 to $185,000.
Job location: Remote (but candidate must be based in the United States)
Key Responsibilities:
You'll own three flagship products and the operational excellence discipline that ties them together. The first is our client workflow orchestration and automation platform, the connective tissue across CS & OPS that eliminates manual hand-offs with API integrations and orchestrates end-to-end client workflows from intake through production. The second is AI-powered anomaly detection across the operational pipeline, partnering with the AI Architect on shared infrastructure to surface quality issues before clients ever see them and drive defect rates toward zero. The third is the client portal, the customer-facing surface of everything CS & OPS does, where clients see real-time SLA telemetry, matter status, data lineage, billing visibility, and self-service capabilities that make us the partner they trust with their most sensitive matters. Across all three, you'll define the operational excellence metrics that matter (cycle time, quality rate, on-time SLA, automation coverage, first-touch resolution), instrument the platform to measure them in real time, and use that data to prioritize work and validate impact.
What You Bring (required skills):
- 7+ years in product management
- Builder at heart: AI prototypes, writes specs that read like blueprints, and ships alongside the team rather than from a deck
- AI-native: fluent in modern gen AI (LLMs, agents, RAG, evals); has shipped AI-driven product features in production
- Deep experience building internal tools, workflow automation platforms, or B2B operations software
- Track record delivering automation, orchestration, and workflow consolidation projects with measurable impact on speed and quality
- Experience shipping customer-facing portals or self-service products in a B2B context
- Strong technical background; able to understand complex data workflows, API integrations, and AI/ML system design at the requirements level
- Experience working closely with Operations, Customer Success, or professional services teams
- Demonstrated ability to translate operational pain points into product strategy and roadmaps
- Excellent stakeholder management skills across Operations, Engineering, and executive audiences
- Data-driven approach to prioritization with focus on measurable business impact
- Experience hiring, developing, and leading product management teams
Nice to Have (preferred skills):
- Familiarity with workflow orchestration platforms, integration platforms, or BPM tools
- Hands-on experience shipping AI-driven features such as anomaly detection, classification, agent workflows, or recommendation systems
- Understanding of data ingestion pipelines, ETL workflows, and operational telemetry
- Track record consolidating applications into unified platforms
Originally posted on Himalayas