Senior Director of Product Development

At Epiq, your work contributes to complex, global legal outcomes. You’ll join a values‑driven community where integrity guides decisions, relentless service sets the bar, and we thrive on big challenges together. We invest in your growth with enterprise‑wide learning and mobility. We celebrate who you are, and we respect life beyond work with flexibility that’s recognized externally. Enabled by modern platforms and AI, you’ll do the most meaningful work of your career and see your impact at scale.

Job Description:

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The Senior Director of Engineering will lead a large global engineering organization responsible for core eDiscovery platform capabilities, including data ingestion, processing, search, analytics, review workflows, productions, reporting, integrations, and AI-enabled features.

The position will be expected to improve platform reliability, delivery predictability, engineering quality, and technical scalability while continuing to support active client needs. This is not a purely strategic role; it requires strong execution, sound judgment, and the ability to drive change in a complex environment.

Key Responsibilities

• Lead and develop distributed engineering teams across application development, data engineering, QE, DevOps, architecture, and platform services.
• Own engineering execution for core eDiscovery workflows, including processing, indexing, search, review, production, analytics, and reporting.
• Drive platform modernization, including APIs, data models, cloud infrastructure, automation, CI/CD, observability, and performance engineering.
• Partner with Product to translate roadmap priorities into realistic delivery plans.
• Work closely with Operations and Client Success to reduce client-impacting issues and improve platform usability.
• Establish clear engineering metrics around delivery, quality, uptime, performance, incidents, and defect trends.
• Manage technical debt with discipline, balancing client commitments with long-term platform health.
• Support the introduction of AI and advanced analytics into legal workflows with appropriate controls around auditability, security, and human oversight.
• Build an engineering culture focused on ownership, accountability, technical excellence, and practical problem solving.

What We’re Looking For

• 12+ years of software engineering experience, including senior leadership responsibility for enterprise or SaaS platforms.
• Proven experience leading distributed engineering teams.
• Strong background in data-intensive platforms, workflow systems, search, document management, or enterprise software.
• Experience modernizing complex platforms without disrupting existing clients.
• Strong understanding of cloud architecture, APIs, data pipelines, DevOps, automated testing, and production operations.
• Ability to work across Product, Operations, Security, Finance, Sales, and Client Success.
• Comfortable making tradeoffs and communicating clearly with executive stakeholders.

Experience That Would Stand Out

• Experience in eDiscovery, legal technology, litigation support, investigations, compliance, or document review.
• Familiarity with Relativity, Reveal, Nuix, Everlaw, DISCO, Exterro, OpenText, or similar platforms.
• Experience with large-scale document processing, OCR, email threading, deduplication, metadata extraction, productions, or review workflows.
• Experience deploying AI, machine learning, or LLM-based capabilities into enterprise workflows.
• Experience operating in regulated environments with SOC 2, ISO, HIPAA, GDPR, or similar controls.

Leadership Profile

We need a leader who is technically credible, commercially aware, and operationally disciplined. The ideal candidate can go deep with architects and engineers, but also communicate clearly with clients and executives. They should bring structure without bureaucracy, urgency without chaos, and innovation without losing sight of reliability and defensibility.

Success in This Role Looks Like

• More predictable roadmap delivery.
• Measurable improved platform stability and performance.
• Fewer client-impacting defects and escalations.
• Stronger engineering accountability and ownership.
• Better partnership between Engineering, Product, Operations, and Client Success.
• Clear progress on modernization and technical debt.
• Practical AI capabilities delivered into real legal workflows.

Why This Role Matters

eDiscovery is changing qui…