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Added 44 mins ago
AI Chat R&D Trainee - Full-Stack Engineer (Go Backend) - Bilingual Mandarin
CWILL
Remote, United States
Proficiency in Go (Golang) is required. Experience with other languages such as JavaScript/TypeScript, Python or Java is a plus
Added 44 mins ago
AI SEO R&D Trainee - Full-Stack Engineer (Go Backend) - Bilingual Mandarin
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Remote, United States
Proficiency in Go (Golang) is required. Experience with other languages such as JavaScript/TypeScript, Python, Java or PHP is a plus
Added 44 mins ago
Loyalty & Referrals R&D Trainee - Full-Stack Engineer - Bilingual Mandarin
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Remote, United States
Strong programming fundamentals: proficient in at least one backend language (Java, Go, Python or Node.js), with a good grasp of common data structures and algorithms
Added 44 mins ago
Pop-Up & Email Marketing R&D Trainee - Full-Stack Engineer - Bilingual Mandarin
CWILL
Remote, United States
At least one backend language, such as Java, Python, Go or Node.js, with basic coding ability
Added 44 mins ago
C-
Principal Software Engineer - Full Stack
CVector - Industrial AI
Remote, United States
- $150,000 to $175,000 USD / year
Our current technology stack includes Python, TypeScript, React, Supabase, MQTT, Figma, PostgreSQL, and AWS, with development workflows managed through GitHub.
Added 44 mins ago
C-
Principal Software Engineer - Backend & AI Infra
CVector - Industrial AI
Remote, United States
- $150,000 to $175,000 USD / year
Our current technology stack includes Python, TypeScript, Supabase, PostgreSQL, MQTT, TigerData, AWS, and GitHub-based CI/CD workflows.
Added 44 mins ago
C-
Senior Software Engineer - Backend & AI Infra
CVector - Industrial AI
Remote, United States
- $125,000 to $150,000 USD / year
Improve developer tooling and internal platform ergonomics
Added 44 mins ago
C-
Senior Software Engineer - Full Stack
CVector - Industrial AI
Remote, United States
- $125,000 to $150,000 USD / year
Our current technology stack includes Python, TypeScript, React, Supabase, MQTT, PostgreSQL, and AWS, with development workflows managed through GitHub.
Added 1 hour ago
C
Senior DevSecOps Engineer
Credence
Remote, United States
- $150,000 to $180,000 USD / year
Automation & Scripting: Develop automation scripts using Python, Bash, or PowerShell to improve deployment efficiency and security enforcement.
Added 1 hour ago
C
Senior Applications Engineer
Credence
Remote, United States
- $150,000 to $180,000 USD / year
Added 1 hour ago
C
Senior Google AI Engineer
Credence
Remote, United States
- $150,000 to $190,000 USD / year
Expert in Python (and/or Go/TypeScript) for AI services; strong with Vertex AI, BigQuery, Dataflow and/or Data Fusion, GKE/Cloud Run, Cloud Build, Cloud Storage, Pub/Sub.
Added 1 hour ago
C
AI Platform & DevSecOps Engineer
Credence
Remote, United States
- $150,000 to $190,000 USD / year
The ideal candidate has a strong foundation in AWS, Kubernetes, Infrastructure as Code (IaC), CI/CD, Python, security automation, and production operations, along with practical knowledge…
Added 1 hour ago
ServiceNow Developer
Credence
Remote, United States
Credence has an immediate need for a ServiceNow Developer to design, develop, configure, and maintain ServiceNow solutions that support business and IT operations. This role partners with…
Added 1 hour ago
Cloud Platform Engineer- Entry Level
Credence
Remote, United States
Basic scripting ability (Python, Bash, or PowerShell).
Added 2 hours ago
Forward Deployed Integrations Engineer
Coursedog
Remote, United States
Strong technical skills with REST APIs, JSON and CSV, SQL, and scripting in Python or JavaScript
Added 3 hours ago
Principal AI Architect - OleOle
Travoom
Remote, United States
Expert proficiency in Python, PyTorch, transformer architectures, and deep learning frameworks.
Added 3 hours ago
Mojo Libraries Engineer (Copy)
Modular
Remote, United States
2+ years of work experience with Programming Language such as Python, Mojo, Rust, C++, etc.
Added 4 hours ago
C|
Senior Software Engineer III, Backend
Connexity | Skimlinks, a Taboola company
Remote, United States
- $175,000 to $200,000 USD / year
Programming Languages: Proficiency in Java is a must. Experience with Python, Node.js, or Go is also required.
Added 4 hours ago
Data Analyst Internship
ConnectPrep
Remote, United States
SQL, Python data tools (Pandas, NumPy, or similar)
Added 7 hours ago
Project Manager, Settlements
Clean Power Alliance
Remote, United States
Experience with programming languages (i.e., SQL), data visualization tools (i.e., Tableau, Power BI) and data analysis tools (i.e., R, Python, and SAS) is a plus
Added 9 hours ago
AML Analytics Consultant
Capitex
Remote, United States
Proficiency in tools such as Python, R, SAS, or similar (desirable but not required).
Added 9 hours ago
AML Analytics Consultant
Capitex
Remote, United States
Proficiency in tools such as Python, R, SAS, or similar (desirable but not required).
Added 10 hours ago
TT
Engineering Manager
True Talent Solutions Partners
Remote, United States
- $165,000 to $205,000 USD / year
- Proficiency with React, TypeScript, Python, and Kotlin or Go; familiarity with Java, PostgreSQL, AWS, Docker, Terraform, and CI/CD.
Added 10 hours ago
Forward Deployed Engineer
True Talent Solutions Partners
Remote, United States
- Integration and scripting experience with Python, JavaScript or TypeScript, SQL, REST APIs, JSON, and webhooks.
Added 10 hours ago
TT
Research Crawling Engineer
True Talent Solutions Partners
Remote, United States
- $160,000 to $250,000 USD / year
- Strong programming skills in Go, Rust, Python, Java, or C++.

Closed listing

Jobgether

Senior GTM Compensation Manager

Remote, United States

$100,000 to $140,000 USD / year

This opening has closed.

The original listing is kept below for reference.

Find open jobs More jobs with this employer

About employer

Job details

Pay: $100,000 to $140,000 USD / year
Posting language: English
Posted: Nov 3, 2026

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Original job description

Archived listing. The details below describe a past opening.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior GTM Compensation Manager based in the United States.

As a Senior GTM Compensation Manager, you will take ownership of the sales compensation function within a fast-growing technology environment focused on data science, machine learning, and AI. You will oversee the entire commission lifecycle, ensuring accurate calculations, reliable payouts, and efficient compensation processes. Working at the intersection of Finance, Sales Operations, and Go-To-Market leadership, you will turn complex performance data into actionable business insights. You will also contribute to workforce planning, sales performance analysis, and strategic decision-making. This is an opportunity to combine financial expertise, analytical thinking, and emerging AI-powered tools while building scalable processes in a collaborative, fully remote environment.

Accountabilities

•

Sales Compensation Management: Own the end-to-end commission program, including compensation plan administration, quota crediting, payout calculations, reconciliations, and audits. Ensure accurate and timely commission processing while maintaining a consistent and predictable payout schedule.

•

Incentive Compensation Systems: Manage and optimize the incentive compensation management (ICM) platform, including database administration, system configuration, and data integrity. Oversee the commissions infrastructure, primarily using Everstage, and ensure reliable workflows.

•

Performance Analysis & Strategic Insights: Analyze quota attainment, pipeline coverage, sales productivity, and overall GTM performance. Translate findings into clear recommendations that support leadership decisions and improve revenue performance.

•

Capacity Planning & Forecasting: Develop financial models to forecast GTM headcount, sales capacity, productivity, and territory coverage in alignment with revenue targets and business objectives.

•

Sales Compensation Support: Serve as the primary point of contact for sales representatives and leadership regarding commission-related questions, disputes, and policy interpretation. Communicate complex calculations and compensation decisions clearly and transparently.

•

Cross-Functional Collaboration: Partner closely with Finance, Sales Operations, and Revenue leadership to align compensation strategies, resolve operational challenges, and maintain consistency across teams.

•

AI & Process Automation: Integrate AI-powered tools into daily workflows to accelerate commission audits, reconciliations, inquiry management, data analysis, and process automation. Identify effective practices and share them with the broader team.

•

Controls & Process Improvement: Establish robust internal controls and validation procedures to identify and prevent commission calculation errors before payouts are processed. Continuously improve workflows to strengthen accuracy, efficiency, and scalability.

Requirements

•

Education: Bachelor's degree in Finance, Business, Data Science, or another analytical discipline.

•

Professional Experience: At least 5 years of hands-on experience in sales compensation, GTM Finance, or GTM Operations within a SaaS, software, or high-growth technology company.

•

Compensation Expertise: Proven experience independently managing a sales compensation function at a senior level, including incentive plan administration, quota crediting, commission calculations, payouts, and auditing.

•

ICM Platform Knowledge: Experience administering incentive compensation management systems. Familiarity with Everstage is an advantage, as is experience working with multiple ICM platforms and spreadsheet-based compensation models.

•

Technical & Analytical Skills: Advanced Excel and Google Sheets proficiency, strong financial modeling capabilities, and a solid understanding of databases and data management techniques.

•

Systems Experience: Familiarity with Salesforce and other SaaS tools supporting compensation and revenue operations workflows, such as Rippling.

•

Communication & Problem-Solving: Strong interpersonal and communication skills, with the ability to handle sensitive compensation questions, resolve disputes, and explain complex payout calculations in accessible terms.

•

AI Proficiency: Practical experience using AI tools for drafting, analysis, data cleanup, and workflow automation, with the judgment to apply appropriate human verification when working with sensitive financial calculations.

•

Attention to Detail: Exceptional accuracy, organization, and analytical rigor when managing high-stakes financial data and commission calculations.

•

Leadership & Ownership: A proactive, independent mindset, with the ability to develop scalable processes, make informed recommendations, and manage the compensation function as a strategic business operation.

Additional qualifications that will make you stand out:

•

Experience designing and implementing internal controls or processes that have successfully identified and prevented commission payout errors.

•

Experience developing AI-assisted workflows, such as automated reconciliation checks or compensation policy question-and-answer systems.

•

Knowledge of Python, R, or SQL, and familiarity with data science and AI technologies.

•

Previous experience in a fast-paced startup or within the open-source, AI, or data science ecosystem.

Benefits

•

Competitive Compensation: Annual base salary ranging from $100,000 to $140,000, depending on experience, qualifications, skills, and geographic location.

•

Flexible Vacation: Flexible vacation policy to support personal time and work-life balance.

•

Healthcare Coverage: Medical, dental, and vision insurance.

•

Financial Protection: Short-term and long-term disability coverage.

•

Family Support: Paid parental leave.

•

Wellness Benefits: Monthly wellness stipend to support physical and mental well-being.

•

Employee Assistance: Access to an Employee Assistance Program and mental health resources.

•

Remote Flexibility: Fully remote working environment with flexible working hours.

•

Professional Development: Opportunities to contribute to innovative AI, machine learning, and data science initiatives.

•

Collaborative Culture: A high-performance environment that values transparency, diverse perspectives, thoughtful discussions, and employee growth.

•

Meaningful Impact: The opportunity to contribute directly to the evolution of enterprise AI and data science technologies.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

About employer

More about this job

Skills

Sales
Leadership
Decision making
Analytical skills
Microsoft Excel
Google Sheets
Financial modelling
Data management
Salesforce
Communication disorders
Communication skills
Attention to detail
Python
R
SQL

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