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Remote 1099 Software Developer Contractor Jobs in Santa Rosa, CA

Remote with periodic travel) Employment Type: Full-Time About SAI Group SAI Group is a private ... Our product and engineering teams bring deep AI and software expertise, but they do not come from ...

Senior Director, AI

Bodega Bay, CA · On-site +1

$257K - $402K/yr

Partner with Hardware and Robot Software leadership to ensure the sensor suite and embedded compute ... D.) in Computer Science, Robotics, Electrical Engineering, or a related field. * Minimum of 8 years ...

Remote Who is IDEX Health & Science (IH&S)? As a business unit of IDEX Corporation, IH&S has a long ... Understanding of ERP software is required, proficiency in JD Edwards is preferred. * Familiarity ...

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Remote 1099 Software Developer Contractor information

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How much do remote 1099 software developer contractor jobs pay per year?

As of Jul 23, 2026, the average yearly pay for remote 1099 software developer contractor in Santa Rosa, CA is $122,284.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,400.00 and $142,100.00 per year, depending on experience, location, and employer.

What are the main challenges of working as a Remote 1099 Software Developer Contractor and how can they be managed?

As a Remote 1099 Software Developer Contractor, you may face challenges such as managing multiple clients, staying self-motivated without direct supervision, and handling inconsistent workloads. Effective time management and clear communication with clients are essential to meet deadlines and expectations. Additionally, you'll need to handle your own taxes, benefits, and ongoing skill development. Building a reliable workflow and maintaining professional boundaries can help ensure long-term success in this flexible role.

What are the key skills and qualifications needed to thrive as a Remote 1099 Software Developer Contractor, and why are they important?

To thrive as a Remote 1099 Software Developer Contractor, you need strong programming skills, experience with software development lifecycles, and typically a background in computer science or related fields. Familiarity with version control systems (like Git), cloud platforms, and project management tools, as well as knowledge of relevant programming languages and frameworks, is essential. Outstanding self-motivation, communication, and time management set top contractors apart, enabling efficient remote collaboration and project delivery. These skills ensure you can produce high-quality work independently, meet client expectations, and succeed in a flexible, project-based environment.

What is a Remote 1099 Software Developer Contractor?

A Remote 1099 Software Developer Contractor is an independent professional who provides software development services to clients while working remotely, rather than as an on-site employee. The '1099' refers to IRS Form 1099, which is used to report income earned by independent contractors in the United States. These developers are typically responsible for managing their own taxes, benefits, and work schedules. They often work on a project-by-project basis for various clients, instead of being tied to a single employer. This arrangement offers flexibility but requires self-discipline and strong communication skills.
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Mortgage Loan Officer SME

Mortgage Loan Officer SME

SAIGroup

Bodega Bay, CA • Remote

Full-time

Posted 22 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.

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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