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Legora

Collaborative AI workspace for legal workflows

GTM Compensation, Planning & Performance Analyst

Sales OperationsConfirmed live in the last 24 hours
Full-timeNew York, NY, USA$103k - $122k /yr

About the Job

Requirements

  • At least 1 year of experience in an analytical environment such as Revenue Operations, Sales Operations, strategic finance, investment banking, management consulting, venture capital, private equity, or a high-growth SaaS company.
  • Strong analytical and financial-modeling skills, with advanced proficiency in Excel or Google Sheets.
  • Comfort working with large datasets and experience with, or a strong interest in learning, SQL and Snowflake.
  • Care and accuracy in detailed, high-stakes work, including identifying inconsistencies across multiple data sources.
  • Ability to communicate clearly and turn complex analysis into concise conclusions.
  • Organization and ability to coordinate recurring processes involving several stakeholders and deadlines.
  • Curiosity about how SaaS businesses set targets, measure commercial performance, and design incentives.
  • Discretion when handling sensitive compensation and employee-performance data.
  • Ownership of work, including knowing when to raise questions, flag risks, or ask for guidance.
  • Ability to work in a fast-moving environment where priorities evolve and accuracy remains essential.

Responsibilities

  • Support the full compensation lifecycle across GTM roles, from plan design and scenario modeling through rollout, administration, and payout.
  • Prepare commission calculations, reconcile data across Salesforce, Snowflake, billing, and financial systems, and investigate discrepancies.
  • Analyze attainment, payout trends, plan costs, and incentive effectiveness to support recommendations and plan improvements.
  • Maintain accurate compensation documentation, participant records, approval workflows, and communications in partnership with RevOps, Finance, and People.
  • Support annual and mid-year target-setting processes, translating company goals into team-, territory-, and individual-level quotas.
  • Analyze historical performance, capacity, ramp assumptions, territory potential, and OTE alignment to inform target allocation.
  • Maintain accurate quota and target records across systems, perform quality checks, and resolve inconsistencies.
  • Build scenarios to evaluate how changes in headcount, productivity, or GTM priorities affect targets and capacity requirements.
  • Build and maintain reporting on attainment, productivity, pipeline, conversion, retention, and compensation efficiency.
  • Analyze performance across roles, teams, territories, cohorts, and regions to identify trends, risks, and opportunities.
  • Prepare clear, decision-ready insights for business reviews, forecasting cycles, and GTM leadership.
  • Help improve the dashboards, reporting frameworks, and operating cadences used to manage GTM performance.

Desired Qualifications

  • Experience with Salesforce or another customer relationship management system.
  • Experience with SQL, Snowflake, or business-intelligence tools.
  • Familiarity with SaaS metrics and GTM concepts such as ARR, pipeline coverage, attainment, ramp, quota capacity, retention, and cost of sale.
  • Exposure to commission calculations, incentive compensation, workforce planning, or financial forecasting.
  • Experience automating recurring analysis or operational workflows.

About the Company

Legora

Collaborative AI workspace for legal workflows

Legora builds an AI-powered, collaborative workspace for legal teams. Its platform helps law firms and corporate legal departments conduct research, review, drafting, and end-to-end legal workflows, all within a workspace that includes firm-specific and jurisdiction-specific context. The product works by providing an agentic AI assistant that can handle tasks across the legal process—research, drafting, reviewing, and workflow orchestration—tailored to each firm’s rules and the relevant laws of different jurisdictions. Legora differentiates itself from competitors by serving a very large existing customer base (tens of thousands of lawyers across 1,000+ organizations in 50+ markets), focusing specifically on legal work, and backing its platform with significant capital and big-name investors to scale its US expansion and its agentic workflows. The company’s goal is to broaden adoption of its AI-powered legal workspace globally and to enable efficient, context-aware legal work at scale.

Company size
501-1,000
Company stage
Series E
Total funding
$1.4B
Headquarters
Stockholms kommun, Sweden
Founded
2023

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