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Harvey

Builds AI software for lawyers

Global CX Workforce Manager

Business OperationsConfirmed live in the last 24 hours
Full-timeRemote in USA$120.9k - $181.3k

About the Job

Requirements

  • At least 7 years of experience in workforce management, capacity planning, support operations, or a related discipline.
  • Experience building or materially redesigning a workforce-planning function, rather than only operating within an established system.
  • Experience supporting a 24/7, multi-region operation with asynchronous ticket-based work; experience beyond traditional voice contact-center planning is important.
  • A track record of building useful models from incomplete or rapidly changing data and improving their accuracy over time.
  • Strong analytical skills and hands-on fluency with spreadsheets, reporting tools, and workforce data.
  • The judgment to distinguish a temporary coverage problem from a structural headcount need, and to recommend action before service quality deteriorates.
  • Experience measuring how automation, artificial intelligence, self-service, and workflow changes affect staffing demand and productivity.
  • Ability to drive consistent global operating practices through regional leaders without owning their teams directly.
  • Ability to turn complex assumptions and tradeoffs into concise recommendations for executives.

Responsibilities

  • Own demand and capacity forecasts across regions, shifts, customer segments, issue types, and support channels, translating ticket volume, active handle time, service-level targets, occupancy, shrinkage, schedule adherence, time off, and new-hire ramp into staffing requirements.
  • Build and own the model that turns company trajectory into a defensible view of CX capacity, drawing on revenue and customer projections, product launches, regional expansion, and seasonality, and make that model an input to company planning.
  • Lead weekly, monthly, and quarterly capacity reviews, explaining forecast changes, coverage gaps, assumptions, and recommended actions.
  • Establish global scheduling standards covering shift allocation, paid time off, holidays, weekends, on-call coverage, and business continuity in partnership with regional managers.
  • Create scenario plans showing when, where, and at what level to hire, cross-train, change schedules, or redeploy existing capacity; recommend the option that best balances customer impact, employee sustainability, speed, and cost.
  • Measure the capacity impact of artificial intelligence and operational investments, including chatbots, routing improvements, provisioning automation, and evolving team responsibilities; identify operational changes that increase throughput or flexibility without lowering standards for accuracy, professionalism, quality assurance, or customer satisfaction.
  • Support the launch and ramp of new locations and staffing models through cohort planning, readiness criteria, and post-launch performance reviews.
  • Define consistent workforce metrics and partner with Data, Finance, People, Enablement, and Go-to-Market Operations to establish reliable reporting and dashboards.
  • Evaluate and implement workforce-management tooling as the organization’s complexity grows.

Desired Qualifications

  • Experience with SQL, business intelligence tools, Zendesk, or workforce-management platforms.
  • Experience planning workforce capacity across enterprise, mid-market, and small and medium-sized business customer segments.
  • Experience supporting a rapidly growing software-as-a-service or artificial intelligence company where historical demand is not yet predictable.
  • Familiarity with support quality, enablement, routing, and escalation programs in addition to core workforce management.

About the Company

Harvey

Builds AI software for lawyers

Harvey builds AI software made specifically for legal work, used by lawyers at large law firms and corporate legal departments. It became one of the first generative AI tools rolled out across a major law firm when Allen & Overy gave it to its lawyers worldwide in 2023. Lawyers use Harvey to research legal questions, draft and review contracts, and run due diligence across large sets of documents, with answers grounded in their firm's own files and trusted legal sources. Firms pay through enterprise subscriptions, and Harvey can tailor its workflows to practice areas such as litigation and mergers. Harvey was founded in 2022 with early backing from the OpenAI Startup Fund and is based in San Francisco.

Company size
1,001-5,000
Company stage
Late Stage VC
Total funding
$1.8B
Headquarters
San Francisco, CA
Founded
2022

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