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Commission Ai Implementation Jobs (NOW HIRING)

Account Executive

$150K - $250K/yr

AI-native product development and AI implementation for U.S. companies. Startups building ... No base, no W-2 - a recoverable bridge against commissions and a structure that pays real money to ...

Payroll Lead

Bellevue, WA · Hybrid

$87K - $108K/yr

AI Implementation: Actively identify and deploy AI-driven tools (e.g., for automated data ... The cash compensation above includes base salary, variable commission for employees in eligible ...

AI Analyst

Washington, DC · On-site

$171K - $209K/yr

Develop and implement artificial intelligence and machine learning solutions using emerging ... KBR may offer bonuses, commissions, or other forms of compensation to certain job titles or levels ...

... commission programs, and listing campaigns - with end-to-end ownership from ideation through measurement * Lead AI implementation for the AM function: identify workflows that can be automated or made ...

Be Seen First

Collaborate with Solution Delivery and Implementation teams to scope deals accurately and set ... Commission: Uncapped, with accelerators above quota - Total package > $250K * Direct access to ...

... AI implementation expectations and outcomes * Partner with customer success to ensure high ... This position includes a generous commission structure with significant earning potential for high ...

... AI implementation expectations and outcomes * Partner with customer success to ensure high ... This position includes a generous commission structure with significant earning potential for high ...

Payroll Lead

Bellevue, WA · On-site

$87K - $108K/yr

AI Implementation: Actively identify and deploy AI-driven tools (e.g., for automated data ... The cash compensation above includes base salary, variable commission for employees in eligible ...

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Commission Ai Implementation information

See salary details

$44.5K

$113K

$191K

How much do commission ai implementation jobs pay per year?

As of Jun 27, 2026, the average yearly pay for commission ai implementation in the United States is $112,972.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,000.00 and $148,000.00 per year, depending on experience, location, and employer.

What is the difference between Commission Ai Implementation vs Commission Data Analyst?

AspectCommission Ai ImplementationCommission Data Analyst
Required CredentialsRelevant certifications in AI, machine learning, and data analysisDegree in data science, statistics, or related field
Work EnvironmentTech-focused, project-based, often collaborative with AI teamsOffice setting, data-focused, analytical tasks
Employer & Industry UsageTech companies, AI solution providers, financial servicesBusiness, marketing, finance sectors
Search & Comparison IntentUnderstanding AI implementation roles in commissionsAnalyzing data to optimize commissions

Commission Ai Implementation focuses on deploying AI solutions to automate and optimize commission processes, requiring technical skills in AI and machine learning. In contrast, a Commission Data Analyst interprets data to improve commission strategies, emphasizing data analysis and reporting. Both roles are vital in commission management but differ in technical focus and daily tasks.

More about Commission Ai Implementation jobs
What cities are hiring for Commission Ai Implementation jobs? Cities with the most Commission Ai Implementation job openings:
What are the most commonly searched types of Ai Implementation jobs? The most popular types of Ai Implementation jobs are:
What states have the most Commission Ai Implementation jobs? States with the most job openings for Commission Ai Implementation jobs include:
Infographic showing various Commission Ai Implementation job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $112,972 per year, or $54.3 per hour.
Commercial Solutions Specialist - Mobility

Commercial Solutions Specialist - Mobility

S&P Global

Centreville, VA

Full-time

Posted 12 days ago


S&P Global rating

8.0

Company rating: 8.0 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

Role Overview

We are looking for a Commercial Solutions Specialist to act as the vital bridge between our Sales Organization (including Sales Operations and Sales Enablement) and the Commercial Platforms teams. You are not a back-office admin; you are a "Field Architect" who understands the daily grind of a sales rep and the complexities of the sales cycle. Your mission is to identify friction in the sales process and translate those business needs into high-impact, AI-driven technical requirements for our Salesforce (SFDC) environment and our broader Sales Tech Stack.

The Mission

To transform our commercial infrastructure into a competitive advantage-creating an ecosystem where the tech stack is invisible because it works so well, and where manual tasks are replaced by automated, intelligent workflows.

Key Responsibilities

1. Business Discovery & Pain-Point Identification

  • Sales Ethnography: Conduct discovery sessions with the sales team to map the end-to-end sales cycle, identifying every manual "bottleneck" that slows down a deal.
  • Requirement Translation: Convert "Commercial Pain" into "Technical User Stories." You will work closely with the Product Owner and Tech Team to ensure business needs are technically feasible and strategically aligned.
  • Bridge Communication: Serve as the primary translator, ensuring the Tech Team builds what Sales actually needs, and managing Sales' expectations on delivery and functionality.

2. The "Frictionless Sales" Initiative (Automation)

  • Digitalized Proposals: Lead the transition from manual document creation to automated, digitalized proposal generation within SFDC.
  • Autonomous Record Keeping: Implement solutions for automated contact updates, company firmographic refreshes, and auto-logging of activity to eliminate manual data entry.
  • Meeting Intelligence: Deploy tools to automate meeting notes, action-item extraction, and CRM sentiment analysis directly from sales calls.

3. AI & Predictive Insights

  • Agentic AI Implementation: Design "Agents" within SFDC that can proactively suggest next steps, identify at-risk deals, or research prospects autonomously.
  • Predictive KPIs: Move beyond historical reporting to implement predictive forecasting and "Fast Answer" dashboards that tell the business where they are going, not just where they have been.
  • Intuitive UX: Simplify the SFDC interface so it feels like a tool built for a salesperson's workflow, not a database manager's checklist.

4. Sales Ops Partnership & Tech Stack Strategy

  • Operational Synergy: Work hand-in-hand with Sales Operations & Sales Enablement to ensure that technical solutions align with sales compensation, territory management, and reporting structures.
  • Stack Integration: Audit and manage the Sales Tech Stack. You will ensure seamless data flow between SFDC and third-party tools (prospecting, sequencing, enablement).
  • Tool Orchestration: Partner with Sales Enablement to define the "Rules of Engagement" for our software-clarifying when a rep should use specific tools and why, preventing "tool fatigue" and data fragmentation. Sales Enablement will then lead the training and share best practices across our sales organization.

Required Profile

Technical & Tooling Expertise

  • Salesforce Ecosystem Mastery: Extensive experience with SFDC (Sales Cloud) as a power user, analyst, or architect. You must understand the "art of the possible" regarding automation, Flow, and custom objects (Flows, Einstein, Agentforce, API integrations).
  • Tech Stack Orchestration: Proven experience managing and integrating a modern B2B sales stack. This includes tools such as:
    • Sales Engagement: (e.g., Salesloft, Outreach)
    • Revenue Intelligence: (e.g., Gong, Chorus)
    • Data/Prospecting: (e.g., ZoomInfo, LinkedIn Sales Navigator, Apollo)
    • CPQ/CLM: (e.g., PandaDoc, DocuSign, Salesforce CPQ)
  • Integration Literacy: A solid understanding of how data moves between tools (APIs, webhooks, and native connectors) to ensure a "Single Source of Truth."
  • AI Curiosity: Hands-on experience or a deep theoretical understanding of implementing AI agents or LLM-based tools to automate commercial workflows.

2. Operational & Strategic Experience

  • Sales Operations Partnership: Minimum of 5 years working closely with or within a Sales Ops or Revenue Ops function. You should understand how technical changes impact:
    • Lead routing and territory assignment.
    • Sales compensation and commission tracking.
    • Pipeline hygiene and forecasting accuracy.
  • Commercial Process Mapping: You must deeply understand the stages of a modern B2B sales cycle (prospecting, discovery, negotiation, closing). Ability to document complex sales cycles and identify exactly where "friction" occurs (e.g., the gap between a demo and a proposal).
  • Change Management: Experience rolling out new tools or processes to a resistant or busy sales force. You know how to drive adoption, not just "ship code."

3. The "Bridge" Skills (Soft Skills)

  • Bilingual Communication: The ability to translate "Sales Speak" (I need more leads!) into "Technical Specs" (We need a bi-directional sync between the intent data tool and the lead scoring model).
  • Cross-Functional Liaison: Proven experience working with Sales Ops, Product Owner, and Developers to ship features.
  • Product/Tech Liaison: Proven experience working with Product Owners (POs) and Developers using Agile methodologies to ship features.
  • Strategic "No": The confidence to tell the sales team "no" when a tool request adds complexity without value, and the ability to explain why based on the tech stack architecture.
  • Analytical Problem Solving: You don't just fix symptoms; you find the root cause of why data is messy or why reps are avoiding a certain tool.
  • Documentation Rigor: Ability to create "Rules of Engagement" documents that clearly define which tool is used for which task.

4. Preferred Education & Experience

  • Background: +7 years of experience within Sales Operations, Revenue Operations, Business Systems, or a "Commercial Product Manager" role.
  • Education: Bachelor's degree in Business, Information Systems, or a related field (or equivalent practical experience).
  • Certifications: While not mandatory, certifications in Salesforce (Administrator/Consultant) or specialized sales methodologies (MEDDICC, Challenger) are a significant plus.

What Success Looks Like

  • Reduced "Admin Time": A measurable decrease in the hours sales reps spend on manual data entry.
  • Increased Data Accuracy: Automated updates of contact and company information without human intervention.
  • Sales Velocity: Faster movement of deals through the pipeline due to automated proposals and digitalized workflows.
  • Adoption: Salesforce becomes the "first screen" every salesperson opens because it makes their life easier, not harder.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

It is the policy of Mobility to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Mobility will provide reasonable accommodations for qualified individuals with disabilities.