Manager, Strategy & Operations

Manifest OSNew York City, NY

About The Position

Manifest OS is an AI-native company on a mission to replace the billable hour and make legal services more accessible for American businesses and consumers. We power the next generation of AI-native law firms with one unified global brand, a proprietary technology platform, and a centralized back office — enabling lawyers to eliminate the administrative burden and focus on delivering exceptional outcomes for their clients. Manifest OS has raised a $60M Series A from Menlo Ventures, Kleiner Perkins, First Round, and Quiet Capital. Manifest is building technology to deliver legal services with greater speed, quality, and consistency. As the company scales, this role owns the operating systems that catch risks early, translate performance data into action, and ensure new initiatives drive measurable outcomes. This is a senior individual contributor position — not an advisory role — sitting at the intersection of strategy, analytics, and hands-on implementation. You'll be accountable for turning the company's most consequential fulfillment problems into scalable mechanisms.

Requirements

  • 5–7 years in strategy and operations, consulting, or high-growth technology-enabled services
  • Strong analytical skills with ability to synthesize fragmented quantitative and qualitative data
  • Structured problem-solver who can frame senior-level strategy and execute hands-on
  • Demonstrated ability to build dashboards, operating processes, and AI-assisted systems
  • Able to drive alignment across functions without relying on formal authority

Nice To Haves

  • Experience in marketplaces, legal services, or complex fulfillment environments
  • Familiarity with QA frameworks or performance incentive design

Responsibilities

  • Define metrics and operating systems for legal production and service quality
  • Build dashboards and early-warning tools that surface risks before client escalations
  • Establish feedback loops connecting case outcomes, quality issues, and operational interventions
  • Design performance scorecards and accountability mechanisms for fulfillment teams
  • Identify root causes behind communication gaps, delays, and inconsistent output
  • Develop scalable QA processes, including AI-assisted quality checks
  • Lead cross-functional initiatives spanning Legal, Product, Engineering, Data, and Operations
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