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Harvey

Builds AI software for lawyers

Manager – Customer Experience

Customer SupportConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA$144k - $216k /yrHybrid

About the Job

Requirements

  • At least 8 years of customer support or customer experience experience, including at least 4 years managing teams in a high-volume environment serving enterprise customers.
  • Ability to operate at a fast pace and adapt to a high-intensity environment.
  • Strong focus on customers and motivation to solve customer problems.
  • Commitment to developing a team while maintaining high performance standards.
  • Ability to stay close to support work and understand the team's tickets as well as performance dashboards.
  • Experience making a substantial improvement to how a support team works.
  • Experience owning support metrics, including First Response Time, Time to Resolution, customer satisfaction, quality assurance, backlog, and deflection; understanding their drivers, responding to declines, and building reporting.
  • Experience with Zendesk, Salesforce, Omni, and Snowflake.
  • Understanding of enterprise escalations, including severity assessment and customer communication; ability to reproduce issues, read error logs, and troubleshoot API, authentication, and AI output quality issues sufficiently to brief Engineering accurately.
  • Ability to take process improvements from idea through implementation and delegate appropriate improvements to team members.
  • Day-to-day proficiency using AI tools in a production support workflow and a perspective on how AI is changing support teams.
  • Administrative proficiency with Zendesk or an equivalent platform, including views, triggers, macros, and routing logic.
  • Availability to participate in an on-call rotation outside scheduled working hours, including nights, weekends, and holidays, in accordance with the company's on-call policy.

Responsibilities

  • Run day-to-day regional support delivery, including queue and coverage management, triage and handoffs, and escalation decisions; monitor First Response Time, Resolution Time, quality assurance, and customer satisfaction, investigate changes, and implement or scale fixes.
  • Set individual performance expectations, monitor work for early signs of performance drift, coach team members using quality assurance results, and use documented plans when coaching has not been effective.
  • Own escalations from triage and severity assessment through customer communication and resolution; produce actionable bug reports for Engineering and partner with Product, Engineering, and Go-to-Market to convert recurring escalations into fixes.
  • Participate in the on-call rotation for customer-impacting incidents, coordinating response and customer communications while incidents are active.
  • Drive adoption of provided AI tools and systems across triage, drafting, deflection, and quality assurance; evaluate Customer Experience Operations releases against real queue conditions.
  • Compare regional performance with the other regions, share effective practices with peers, adopt useful practices from other regions, and propose practices for global use.
  • Forecast support coverage and staffing against volume and flag gaps before they have an impact.
  • Hire, onboard, and develop team members to support readiness for future growth and changing support needs.

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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