Senior Manager, GTM Compensation Strategy & Incentive Design

Okta Inc

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Bellevue, WAChicago, ILSan Francisco, CA
Salary
$174,000–$239,000 / yr
Posted
18 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $199k
This role $206k
$138k most similar roles pay here $250k

This role pays more than 55% of similar roles. Most pay $172,900–$224,550 — the shaded band above. At the midpoint, this role pays about $206k versus about $199k for comparable roles.

Based on 239 similar postings.

Employer

About Okta Inc

Okta, Inc. is an American identity and access management company based in San Francisco. It provides cloud software that helps companies manage and secure user authentication into applications, and for developers to build identity controls into applications, websites, web services, and devices.[

Okta Inc currently has 137 open roles on FindRole.

Listed pay typically runs $174,000–$239,000 across 137 roles with salary data.

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At a glance

TL;DR · Senior Manager, GTM Compensation Strategy & Incentive Design

The Senior Manager, GTM Compensation Strategy & Incentive Design joins the Go-To-Market Compensation Strategy and Incentive Design team to develop and implement variable incentive compensation designs across all GTM functions. This role involves designing scalable sales incentive programs for Go-To-Market Sales and Customer First organizations while ensuring plans are measurable, cost-efficient, and aligned with organizational goals. You will build data-driven recommendations, establish analytics frameworks to track performance, and manage complex compensation architecture decisions. Key responsibilities include overseeing incentive reporting, performing predictive cost modeling, and managing business process flows for automation. The role requires expertise in Salesforce, Anaplan, Xactly, or similar platforms, along with proficiency in Python for predictive analytics and statistical modeling. You will solve the challenge of aligning sales force effectiveness with corporate strategy through rigorous quantitative analysis and cross-functional collaboration with Finance, Legal, and People Ops teams.

What you'll do

  • Design and implement scalable variable incentive compensation plans across all Go-To-Market functions.
  • Develop data-driven recommendations and cost models to align compensation with business objectives.
  • Oversee the administration of incentive reporting, including attainment tracking and predictive cost modeling.
  • Serve as a subject matter expert for Incentive Compensation Management (ICM) systems and CRM integration.
  • Map out and document end-to-end data flows to improve automation and operational efficiency.
  • Analyze compensation plan performance using quantitative metrics to identify opportunities for continuous improvement.
  • Act as a trusted advisor to executive leadership on market competitiveness and sales force effectiveness.

What we're looking for

  • You must have 8+ years of experience in sales compensation design, strategy, or analytics within public SaaS, software, or technology companies.
  • You must demonstrate proven leadership capability to build, mentor, and manage diverse teams across multiple levels.
  • You must possess deep expertise in sales compensation architecture, including territory management, account coverage models, and crediting methodologies.
  • You must have advanced proficiency with Salesforce, Anaplan, Xactly, or comparable incentive compensation management platforms.
  • You must have a track record of leading strategic cross-functional initiatives while maintaining executive visibility and stakeholder alignment.
  • You must possess executive-level communication skills to translate complex strategies into compelling narratives for senior leadership.
  • You must be a self-directed problem-solver capable of delivering high-quality work within tight timeframes.
  • Experience with AI/ML using Python for predictive analytics and statistical modeling is preferred.

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