Jobs at KLDiscovery

Develop and optimize SQL Server and SSIS billing pipelines, automate data movement and validation with Python, and use R and Python for analytics, anomaly detection, and billing decision models. Build data-quality frameworks, support internal reporting tools, integrate ERP APIs, and collaborate with finance and operations stakeholders. The role requires maintainable, tested, auditable solutions and ownership of features across databases, pipelines, analytics, and internal applications.

Owns deal desk governance, complex pricing approvals, discounting controls, and margin protection across services, SaaS, and hybrid offerings. Runs the cross-functional Pricing Council, translates decisions into pricing policies and approval workflows, and ensures accurate CPQ and segment/SKU data. Builds AI-assisted pricing models, scenario analyses, simulations, automated review workflows, and KPI reporting. Partners with Sales, Delivery, FP&A, Revenue Operations, and executives to identify cost exposure, reduce margin leakage, and improve deal velocity and reporting integrity.

Manage multiple concurrent eDiscovery projects from initiation through final delivery, serving as the primary client contact. Coordinate internal teams, timelines, scope, quality, compliance, reporting, forecasting, and invoicing. Advise clients and stakeholders, facilitate meetings, support sales scoping, and ensure defensible, cost-effective outcomes. The role requires strong knowledge of eDiscovery workflows, data processing and hosting, privacy regulations, client communication, and project management. After-hours and weekend work may be required, with possible regional travel.

Client-facing technical sales professional who supports enterprise and strategic sales cycles through product demonstrations, proofs of concept, technical Q&A, and solution positioning. The role enables sales teams, represents products at client meetings and industry events, translates technical capabilities into business value, communicates roadmap updates, and feeds market feedback to Product and Marketing. Experience with legal technology, technical sales, AI tools, CRM platforms, and client presentations is required.

Provides high-level executive support to the CEO and leadership team, managing complex calendars, travel, meetings, confidential matters, and follow-through. Writes and edits executive and company-wide communications, coordinates all-hands and leadership events, prepares Board materials, and supports change communications. Improves executive-office workflows using Microsoft 365, AI tools, templates, trackers, and repeatable processes.

Review and code documents for complex litigation using e-discovery platforms (Relativity, Nebula). Identify privilege, confidentiality, and responsiveness; perform QC, assist with privilege/redaction logs, follow project instructions, meet pace and accuracy targets, and maintain secure remote work and reliable timekeeping.

Review and code documents for complex litigation using e-discovery platforms (Relativity, Nebula). Identify privilege, confidentiality, and responsiveness; perform QC, assist with privilege/redaction logs, follow project instructions, meet pace and accuracy targets, and maintain secure remote work and reliable timekeeping.

Lead delivery for the Nebula SaaS platform: run planning, sprint execution, release management, and reliability at scale. Drive cloud platform and architecture modernization, move AI features from prototype to production, hire and develop engineering leaders, and own budget, headcount, and cross-functional partnerships.

Lead delivery for a cloud-based eDiscovery SaaS platform, owning roadmap execution, platform scalability, reliability, AI feature productionization, org design, hiring and development of engineering managers, budget and vendor management, and cross-functional partnership with Product and senior leadership.

Lead product strategy and delivery for client workflow orchestration, AI-powered anomaly detection, and a client portal. Drive automation, real-time telemetry, API integrations, and measurable operational excellence. Partner with CS, Ops, Engineering, and AI architecture to prototype, ship AI-native features, define metrics, and grow the product team.

Lead and build KLDiscovery's gen-AI architecture and core systems. Design and implement LLMs, agents, RAG, vector search, embeddings, model selection, MLOps, telemetry, and evaluation harnesses. Ship high-impact prototypes and production components, mentor senior engineers, and represent AI strategy to product, customers, and partners.

The Director of FP&A for Revenue & GTM will oversee revenue forecasting, sales operations, and commissions management, serving as the financial partner to the CRO.