--- title: 'Technical Lead, eDiscovery Products at Phizenix' canonical: 'https://feeny.ai/job/technical-lead-ediscovery-products-phizenix-new-york-psf25vd0va2c' type: 'job' last_seen: '2026-09-17' --- # Technical Lead, eDiscovery Products at Phizenix - **Company:** Phizenix - **Location:** New York, NY - **Compensation:** $150k–$160k - **Posted:** 2026-09-16 - **Last confirmed live:** 2026-09-17 - **Apply:** https://job-boards.greenhouse.io/phizenix/jobs/5426529008 ## Job description ## About the Role We are hiring a Technical Lead to lead the engineering effort for replat forming and evolving a suite of proprietary tools that power differentiated eDiscovery client delivery — spanning insight generation from large-scale data sets and mobile data review. This is a hands-on leadership role. You will be one of the primary builders; setting technical direction, establishing engineering standards, and driving execution while staying close to the code. You will work in close partnership with the Product Manager to translate vision into a working, scalable product, and will continue to own and grow the technical foundation as the suite expands. ## About the Team This role sits within the Platforms and Partnerships group at AlixPartners, alongside experienced product managers and engineers building across the full product development lifecycle. You will not only build products but help establish engineering excellence within a Risk Advisory practice spanning eDiscovery, digital forensics, and beyond — bridging startup-grade engineering craftsmanship with the rigor of a world-class advisory firm. ## What You’ll Do - Lead engineering on the replat forming of a suite of eDiscovery tools — serving as the primary technical decision-maker on architecture, infrastructure, data modelling, and integrations. - Architect and build migration of an analytics tool from desktop to a modern web-based platform, including ingestion pipelines for email data (Reveal RDM) and mobile data (Cellebrite). - Drive the technical evolution of a document review tool from a platform-hosted experience to a standalone application integrating with Relativity via API, with a path to supporting additional review platforms. - Establish engineering foundations from scratch: CI/CD, testing infrastructure, deployment practices, coding standards, and security posture. - Partner with the Product Manager to sequence work, scope complexity, and surface trade-offs — ensuring architectural decisions serve both near-term delivery and long-term platform goals. - Build and grow the engineering team, hiring and mentoring engineers while cultivating a culture of craft and pragmatism. ## What We’re Looking For Required - 10+ years of software engineering experience, with meaningful time spent in legal technology, eDiscovery, or adjacent compliance/investigations domains. - Deep, hands-on expertise with Relativity custom development: you have built custom applications, integrations, or workflows on Relativity — you know its data model, APIs, and review workflows inside out. - Proven ability to build from scratch: you have served as a founding or lead engineer on at least one greenfield product, making early architectural decisions that defined it for years. - Strong command of modern web application architecture — you can design and implement a scalable, full-stack application including cloud infrastructure, APIs, and data pipelines. - Experience designing large-scale data ingestion and processing pipelines, including handling schema variability, deduplication, and transformation at scale. - Startup mindset: comfortable with ambiguity, able to move quickly, and skilled at making pragmatic architectural decisions that balance speed with long-term soundness. Strongly Preferred - Experience building integrations with Reveal (formerly Brainspace) or its RDM data processing platform. - Experience with Cellebrite exports or similar mobile forensic data — format variability, conversation threading, metadata complexity, and chain-of-custody considerations. - Experience leading a platform migration or technical debt reduction initiative — rebuilding the plane while keeping it in the air. - Hands-on experience with desktop-to-web migrations, including architectural patterns, performance considerations, and UX implications. - Experience working in or alongside an eDiscovery managed services or consulting practice, where end users are practitioners with high-stakes workflow needs. ## Nice to Have - Familiarity with analytics or insight-generation techniques applied to unstructured legal data — NLP, clustering, entity extraction, or similar. - Experience building multi-tenant SaaS applications or transitioning single-tenant tools to a shared-infrastructure model. - Background in data security and chain-of-custody requirements within litigation or investigations contexts. - Experience introducing modern engineering practices (CI/CD, automated testing, observability) in organizations new to formal software development. New York Pay Range $150,000—$160,000 USD ## About Phizenix ## Company Overview - **One-liner**: Phizenix provides workforce solutions for the AI era, including top tech talent placement, AI strategy & development, and AI workforce training. - **Entity Type**: Private (Pre-Seed / Bootstrapped – no public funding rounds disclosed) - **Headquarters**: Livermore, California, United States - **Founded**: 2025 - **Founders**: Khursheed Irani ## Core Business - **Primary industry**: IT Services and IT Consulting, AI Consulting, Workforce Staffing - **Target customers**: B2B – businesses seeking AI transformation, technical talent, and AI upskilling (mid-market to enterprise) - **Mission or purpose statement**: “We’re a team of tech founders, operators, and builders on a mission to help businesses thrive in an AI-native world. We believe AI should empower people, not replace them.” ## Products & Services - **[Talent Staffing]**: Executive recruiting, permanent hire, contract staffing and management for technical roles (e.g., AI/ML engineers, DevOps, firmware engineers). - **[AI Strategy & Development]**: Consulting to discover automation opportunities, design AI solutions, and build production AI systems. - **[AI Workforce Training]**: Live workshops and online certification programs to increase teams’ AI skills. ## Market Standing - **Valuation/Market Cap**: Not publicly available (private company, no funding rounds disclosed) - **Key Metric**: Not disclosed (revenue not public). Employees: 12 as of early 2026. - **Notable Investors/Partners**: No named investors; leadership includes Khursheed Irani (CEO), Raashid Mehasanewala (Head of Solutions), Jumana Ghadiali (VP Operations), Sanjay Dayal (Senior Technology Advisor), Aziz Ghadiali (Head of AI and Marketing). - **Growth Signals**: Headcount growth of +7.7% monthly (LinkedIn estimate); active job postings on Greenhouse (3 open roles as of 2026); LinkedIn follower count 3,587 with +3.9% monthly growth. ## Competitive Advantages - **AI-native focus**: Entire business model centered on AI transformation, not a general staffing firm. - **Silicon Valley presence**: HQ in Livermore, CA, with additional presence in India and Canada, allowing access to diverse talent pools. - **Experienced leadership team**: Founders and VPs bring 20+ years of combined experience in tech, operations, and AI. ## Strategic Focus - **Current priorities**: Expand AI consulting engagements, scale talent staffing pipeline, and grow the training certification arm. Emphasis on “AI-native future of work” – helping companies integrate AI alongside human teams rather than replacing them. ## Why Work Here - **Culture**: Small, mission-driven team focused on AI empowerment. Emphasis on “AI should empower people, not replace them.” - **Remote/Hybrid/Office**: Many roles are remote; some are hybrid in San Francisco/Bay Area (e.g., Director of Engineering – Shopify & ERP). Offices in Livermore, CA and Bengaluru, India. - **Notable perks/engineering culture**: Opportunity to work at the intersection of AI and business transformation; hands-on involvement in building AI solutions for clients; growth potential in a young, rapidly expanding company. ## Sources 1. [phizenix.com](https://www.phizenix.com/) 2. [phizenix.com/careers](https://www.phizenix.com/careers) 3. [phizenix.com/about](https://www.phizenix.com/about) 4. [LinkedIn/Phizenix](https://www.linkedin.com/company/phizenix) 5. 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