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Profound

AI answer-engine visibility analytics for brands

Compensation Manager

Compensation & BenefitsPosted on Nov 10
Full-time

About the Job

Requirements

  • 3 to 5+ years of experience in sales compensation, go-to-market or revenue operations, or financial planning and analysis, with hands-on ownership of both plan design and compensation operations.
  • Deep understanding of incentive mechanics, including quotas, accelerators, ramps, draws, clawbacks, and sales performance incentive funds, across new-business and post-sales roles.
  • Strong Salesforce knowledge, especially how opportunity and booking data flows into commission calculations.
  • Track record partnering with Payroll and Finance to deliver accurate, on-time payouts and clean month-end close.
  • Advanced Excel or Google Sheets modeling skills; SQL experience is a plus, not required.
  • Ability to build trust with sales leaders and representatives and explain compensation mechanics clearly.
  • Exceptional attention to detail and sound judgment handling confidential pay data.
  • Ability to thrive in ambiguity and build structure, processes, and tools where none exist yet.
  • Practical fluency with AI assistants or automation tools used to reduce manual effort and improve accuracy.

Responsibilities

  • Own incentive plan design across go-to-market roles, including Account Executives, Sales Development Representatives, Account Managers, Engagement Managers, and other post-sales and sales roles.
  • Partner with Sales and Post-Sales leadership to translate go-to-market strategy, including new logo acquisition, expansion, and retention, into plan mechanics such as pay mix, rates, accelerators, ramps, and sales performance incentive funds.
  • Partner with Go-to-Market Operations on quota setting, capacity, and territory alignment so targets, coverage, and plans fit together each planning cycle.
  • Partner with Finance to model plan cost, attainment scenarios, and earnings distribution, and keep compensation within budget.
  • Run the commissions cycle end to end, including crediting, calculations, review, approvals, and payout.
  • Partner with Payroll on payout files, timing, and reconciliation so commissions and sales performance incentive funds are paid accurately and on schedule.
  • Own plan documents, participant acknowledgments, and the compensation calendar.
  • Communicate plans and changes to the field clearly and serve as the resource for compensation questions.
  • Run a consistent process for inquiries, disputes, and exceptions, and flag recurring exceptions as plan-design issues rather than one-off fixes.
  • Build and own compensation systems, including selecting, implementing, and administering a commission platform integrated with Salesforce, human resources information systems, and payroll.
  • Partner with Revenue Systems and Go-to-Market Engineering to keep bookings, roster, and crediting data clean and synchronized across systems.
  • Build reporting and dashboards on attainment, payout cost, and plan effectiveness for representatives, leaders, and Finance.
  • Partner with Accounting on monthly commission accruals, with documentation and controls that hold up to audit.
  • Use AI and automation to reduce manual work, including data validation, discrepancy checks, and payout estimates for representatives.

Desired Qualifications

  • Experience standing up a compensation function or commission platform at a fast-growing, early-stage software-as-a-service or AI company.
  • Experience with human resources information systems and payroll integrations, and with multi-country or international compensation plans.

About the Company

Profound

AI answer-engine visibility analytics for brands

Profound helps brands understand and improve how they appear in AI answer engines like ChatGPT, Perplexity, and Google AI Overviews. Its product started as an analytics layer for AI search visibility and now includes research and marketing workflows to track competitors, shape content plans, and measure how AI systems recommend products. The platform analyzes AI-generated results and provides workflows that teams use to plan content and assess impact, rather than just traditional SEO tools. Its goal is to help large enterprises own and improve visibility in AI-generated answers, differentiating itself with a focused AEO/GEO approach and a large, growing customer base.

Company size
201-500
Company stage
Series D
Total funding
$334.5M
Headquarters
New York City, New York
Founded
2024

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