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Commission Ai Assistant Jobs (NOW HIRING)

JazzX is building AI products that automate and assist U.S. residential mortgage origination and ... commission, rental), gift funds, buydowns, DPA programs, and competing offers. Product Design ...

... AI Assistant (now in beta) with deeper native integration into the Unity Hub on the way, new ... sales commissions). The final offer amount will depend on several factors, including geographic ...

... commissions, enabling healthcare providers to deliver proactive patient care, and empowering ... Join us in transforming how industries work, one person, one workflow, one AI assistant at a time!

... commissions, enabling healthcare providers to deliver proactive patient care, and empowering ... Join us in transforming how industries work, one person, one workflow, one AI assistant at a time!

WI · On-site

$63 - $81.50/hr

Certified by The Joint Commission and backed by 3,000+ 5-star reviews, Expressable is redefining how speech therapy is delivered. Our secure telehealth platform and clinician-built AI assistant ...

Aircall's AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI ... uncapped commission. We're looking for a team‑player who wants to grow within the role for the ...

... commissions, enabling healthcare providers to deliver proactive patient care, and empowering ... Join us in transforming how industries work, one person, one workflow, one AI assistant at a time!

... commissions, enabling healthcare providers to deliver proactive patient care, and empowering ... Join us in transforming how industries work, one person, one workflow, one AI assistant at a time!

... commissions, enabling healthcare providers to deliver proactive patient care, and empowering ... Join us in transforming how industries work, one person, one workflow, one AI assistant at a time!

Mid-Market Account Executive

Seattle, WA · On-site

$125K - $180K/yr

We bring AI to the masses with proactive technology that acts as the ultimate AI assistant, making ... based commissions paid quarterly. Actual total compensation will depend on the candidate ...

Aircall's AI Voice Agent automates routine calls, AI Assist streamlines post‑call work, and AI ... commissions) on targets, capacity, territory and quota design, comp plans, and reporting -- so ...

Experience building conversational or AI-assistant UIs (chat, generative UI, copilots) * Strong ... or commission), equity, and benefits in accordance with local policies. Details will be shared ...

Experience building conversational or AI-assistant UIs (chat, generative UI, copilots) * Strong ... or commission), equity, and benefits in accordance with local policies. Details will be shared ...

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Commission Ai Assistant information

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How much do commission ai assistant jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for commission ai assistant in the United States is $18.95, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $21.15 per hour, depending on experience, location, and employer.

What is the difference between Commission Ai Assistant vs Sales Associate?

AspectCommission Ai AssistantSales Associate
Required CredentialsBasic technical skills, familiarity with AI toolsHigh school diploma, sales training
Work EnvironmentRemote or office-based, tech-drivenRetail stores, offices, or online
Employer & Industry UsageTech companies, AI service providersRetail, wholesale, service industries
Common Search & ComparisonCustomer engagement, AI support rolesCustomer service, direct sales

The Commission Ai Assistant primarily focuses on leveraging AI tools to support sales processes, often working remotely in tech environments. In contrast, a Sales Associate interacts directly with customers in retail or service settings, emphasizing personal sales and customer service skills. While both roles involve sales, the Commission Ai Assistant is more tech-oriented, whereas the Sales Associate is more customer-facing.

How do I become a commission AI assistant?

To become a commission AI assistant, you typically need strong skills in artificial intelligence, machine learning, or data analysis, along with proficiency in relevant programming languages like Python. Gaining experience through online courses, certifications, or projects can improve your chances, and familiarity with AI tools and platforms is beneficial. Some roles may require a background in computer science or related fields.
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What cities are hiring for Commission Ai Assistant jobs?

Cities with the most Commission Ai Assistant job openings:

What states have the most Commission Ai Assistant jobs?

States with the most job openings for Commission Ai Assistant jobs include:

Infographic showing various Commission Ai Assistant job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $39,407 per year, or $18.9 per hour.

Mortgage Loan Officer SME

SAIGroup

Bodega Bay, CA • Remote

Full-time

Re-posted 7 days ago


Job description

Mortgage Loan Officer Subject Matter Expert 

Location: United States (Onshore; Remote with periodic travel) 

Employment Type: Full-Time 

About SAI Group 

SAI Group is a private investment firm that has committed $1 billion to incubate and scale revolutionary AI-powered enterprise software application companies. Our portfolio, a testament to our success, comprises rapidly growing AI companies that collectively cater to over 2,000+ major global customers, approaching $600 million in annual revenue, and employing a global workforce of over 4,000 individuals. 

SAI Group invests in new ventures based on breakthrough AI-based products that have the potential to disrupt existing enterprise software markets. SAI Group's latest investment, JazzX, is a pioneering technology company which is building a platform that will not only shape the future of enterprise AI applications but also offer practical solutions to real-world challenges. 

Role Overview 

As JazzX's Mortgage Loan Officer SME, you will be the single-domain authority for the front end of the mortgage business — lead intake, borrower consultation, qualification, structuring, pricing, locking, and application handoff — across product, engineering, and operations. You will own how loan officer workflows, incentives, and borrower interactions are defined, explained, and operationalized into the JazzX Mortgage Application, ensuring that AI-assisted sales and origination experiences faithfully reflect how loan officers actually work and win business. 

This is a hands-on position. You will work representative borrower scenarios end-to-end, document how loan officers qualify, structure, and price loans, map the lead-to-lock-to-submission journey, and sit with product managers and engineers daily to translate that knowledge into detailed product requirements, decision logic, and acceptance criteria. 

JazzX is building AI products that automate and assist U.S. residential mortgage origination and fulfillment. Our product and engineering teams bring deep AI and software expertise, but they do not come from the mortgage industry. This role exists to close that gap: you will embed with the product team as a hands-on domain expert, bringing real operational mortgage experience into product design and product build at a very detailed level — from workflow maps and edge cases down to field-level definitions, decision rules, and acceptance criteria. 

What You'll Do 

Hands-On Origination & Scenario Documentation 

  • Work representative borrower scenarios across purchase, rate-term refinance, cash-out, FHA, VA, conventional, and non-QM contexts — from initial inquiry through pre-qualification, pre-approval, structuring, pricing, lock, and submission to processing. 
  • Document the questions loan officers ask, the data they collect, the calculations they run (income, DTI, LTV, assets-to-close), and the judgment calls they make — in a format product and engineering teams can implement as exacting product behavior. 
  • Capture how loan officers handle common friction points: marginal credit, complex income (self-employed, commission, rental), gift funds, buydowns, DPA programs, and competing offers. 

Product Design Partnership 

  • Embed with the product team as the voice of the loan officer persona; review and pressure-test product specs, UX flows, prompts, and AI assistant behaviors against real-world sales practice. 
  • Define what "good" looks like for AI-assisted borrower conversations, qualification, scenario comparison, and pricing presentation — including tone, compliance boundaries, and escalation points to a human LO. 
  • Write detailed acceptance criteria, edge cases, and test scenarios for loan-officer-facing features. 

Workflow, Persona & Handoff Mapping 

  • Map the end-to-end front-of-funnel workflow: lead sources and referral partners, CRM and POS touchpoints, disclosure triggers, intent-to-proceed, lock desk interaction, and the handoff to processing. 
  • Identify data dependencies, rework loops, and failure modes between loan officers, LOAs/production assistants, processors, and the lock desk — and recommend how the product should eliminate them. 

Pricing, Products & Compliance Context 

  • Explain how product and pricing engines, rate sheets, LLPAs, lock policies, and LO compensation rules shape loan officer behavior, and ensure product designs reflect those realities. 
  • Flag regulatory boundaries relevant to the front end (RESPA, TRID timing, ECOA/fair lending, state licensing, advertising rules) so AI experiences are designed defensibly from the start. 

Validation & Knowledge Transfer 

  • Blind-test AI assistant outputs (qualification answers, scenario structuring, borrower communications) against how an experienced loan officer would handle the same situation; quantify gaps and prioritize fixes. 
  • Train product, engineering, and design teams on mortgage sales fundamentals; build and maintain playbooks, glossaries, and persona documentation. 

What We're Looking For 

Required Qualifications 

  • 7+ years of hands-on U.S. residential mortgage loan origination experience as a producing loan officer (retail, consumer-direct, or broker channels), with a strong personal production track record. 
  • Active NMLS licensure (current or recent) and working knowledge of federal and state origination compliance requirements (TRID, RESPA, ECOA, state licensing). 
  • Deep familiarity with agency (Fannie Mae, Freddie Mac), government (FHA, VA, USDA), and common non-QM product guidelines as they apply to qualification and structuring. 
  • Practical experience with POS, CRM, LOS, and product & pricing engine platforms (e.g., Encompass, Blend, ICE PPE/Optimal Blue or similar) and how data flows between them. 
  • Demonstrated ability to articulate the loan officer's day-to-day in detail: lead management, borrower consultation, qualification math, pricing and lock decisions, and pipeline management. 
  • Excellent written and verbal communication skills; able to document workflows, rationale, and requirements clearly for non-mortgage audiences. 

Skills & Competencies 

  • Ability to translate sales judgment and tribal knowledge into explicit rules, decision trees, and structured requirements. 
  • Comfort working daily with product managers, designers, and engineers in a fast-moving software environment. 
  • Strong attention to detail with a builder's mindset — energized by turning operational expertise into product capability rather than personal production. 
  • Credibility and influence: able to represent the loan officer persona convincingly to internal teams and customer stakeholders. 

Preferred 

  • Experience as a branch manager, sales manager, or top producer mentoring other loan officers. 
  • Prior involvement with mortgage technology vendors, POS/AI pilot programs, or digital origination initiatives. 
  • Exposure to consumer-direct call-center origination models in addition to distributed retail. 

SAIGroup logo

About SAIGroup

Sourced by ZipRecruiter

Industry

Investment clubs and venture capital companies

Company size

11 - 50 Employees

Headquarters location

Palo Alto, CA, US

Year founded

2017