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

The Vice President 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.

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 quickly. Clients expect faster answers, lower cost, better transparency, and responsible use of AI. This role will help shape the engineering foundation needed to compete in that environment — combining scalable data platforms, modern software practices, and defensible legal workflows into products clients can trust.

The Compensation range for this role is 230,000 to 270,000 USD annually and may be eligible for an annual bonus.

Compensation Details

Location‑based market rate for the role
Your abilities in relation to the job specification
Performance during screening and interview
Pay parity with the wider team in the considered location

Further details about the package will be provided during the initial screening call with the Talent Acquisition Team.

Compliance

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

Must be authorized to work in the United States for any employer.

In addition, Epiq’s policy prohibits unlawful discrimination based on any of the protected bases enumerated in applicable law and includes affirmative action. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. Pursuant to relevant law, where applicable, Epiq will consider for employment qualified applicants with arrest and conviction records.

Equal Employment Opportunity Statement

Epiq’s policy is to comply with all applicable equal employment opportunity laws and to make all employment decisions without unlawful regard or consideration of any individual’s protected characteristic. Epiq prohibits unlawful discrimination based on race, religion, ethnicity, color, sex, sexual orientation, gender identity, transgender status, marital status, age, national origin, genetic information, ancestry, citizenship, disability, veteran status, or any other characteristic protected by law. Epiq will consider qualified applicants with arrest and conviction records where applicable.

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