Senior Manager, GTM Compensation Strategy & Incentive Design

Okta Inc

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Bellevue, WASan 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 $198k
This role $206k
$138k most similar roles pay here $250k

This role pays more than 56% of similar roles. Most pay $172,650–$223,925 — the shaded band above. At the midpoint, this role pays about $206k versus about $198k 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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View all roles at Okta Inc

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 focuses on creating scalable sales incentive programs for Go-To-Market Sales and Customer First organizations by translating high-level business objectives into executable plans. The successful candidate will build data-driven recommendations, establish robust analytics frameworks, and manage the end-to-end automation of commission processes. Key responsibilities include designing compensation architecture, performing predictive cost modeling, and ensuring operational excellence through cross-functional collaboration with Finance, Legal, and Sales teams. Required expertise includes sales compensation design, territory management, and proficiency in tools such as Salesforce, Anaplan, and Xactly. Advanced skills in Python for predictive analytics and statistical modeling are also valued to enhance reporting and strategic decision-making.

What you'll do

  • Design and implement scalable variable incentive compensation plans across all Go-To-Market functions.
  • Develop data-driven recommendations and business cases to influence executive leadership on compensation architecture.
  • Establish robust metrics and analytics frameworks to track plan performance and measure ROI.
  • Oversee the administration of incentive reporting, including predictive cost modeling and data validation.
  • Serve as a subject matter expert for Incentive Compensation Management (ICM) systems and CRM integration.
  • Map out and document business process flows to identify opportunities for end-to-end automation.
  • Create scenario analyses and visualizations to help leadership make informed decisions on sales performance.
  • Manage cross-functional relationships with Finance, Legal, Sales Operations, and People Operations teams.

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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