
51 - 200 employees
Founded 2018
⚖️ Legal
🏢 Enterprise
📋 Compliance
Legal • Enterprise • Compliance
DLS Discovery, LLC is a leading provider of eDiscovery, managed document review, and trial and legal support services. Based in Wilmington, Delaware, the company has built a strong reputation by supporting AM Law100 law firms, Fortune 500 companies, as well as national and local law firms and corporations. Known for its individualized approach, DLS Discovery emphasizes communication and custom-fit technological solutions to enhance the efficiency and effectiveness of its services. The company offers a wide range of services including forensic collections, document hosting, analytics, trial support, litigation support, and more, all while focusing on innovative ways to preserve resources and save clients money.
🕒 July 16
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51 - 200 employees
Founded 2018
⚖️ Legal
🏢 Enterprise
📋 Compliance
Legal • Enterprise • Compliance
DLS Discovery, LLC is a leading provider of eDiscovery, managed document review, and trial and legal support services. Based in Wilmington, Delaware, the company has built a strong reputation by supporting AM Law100 law firms, Fortune 500 companies, as well as national and local law firms and corporations. Known for its individualized approach, DLS Discovery emphasizes communication and custom-fit technological solutions to enhance the efficiency and effectiveness of its services. The company offers a wide range of services including forensic collections, document hosting, analytics, trial support, litigation support, and more, all while focusing on innovative ways to preserve resources and save clients money.
• you'll own three flagship products and the operational excellence discipline that ties them together • 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 • 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 • 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
• 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
• competitive total compensation that includes base pay, bonus potential, inclusive benefits, wellness programs, and perks • use market and industry data to inform pay decisions
Apply Now🕒 July 3
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