Full-Time
Posted on 7/22/2025
Digital lending platform for loan processing
$195k - $229k/yr
Raleigh, NC, USA
In Person
Blend builds a digital platform that streamlines loan processing for banks, credit unions, and other lenders, handling everything from loan application to closing. Its Consumer Banking Suite offers configurable lending and deposit tools that work online or in-branch, using automated verifications, instant pre-approvals, and electronic closings to speed up the process. The platform is modular and no-code, so institutions can tailor customer journeys and replace paper-heavy workflows with data-driven automation. The goal is to help financial institutions cut costs, speed loan processing, and convert more borrowers into customers.
Company Size
501-1,000
Company Stage
IPO
Headquarters
San Francisco, California
Founded
2012
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Meaningful equity and a 401(k) plan
Comprehensive health benefits
Wellness benefits covering a variety of wellness activities, gym memberships, fitness classes and more
16 weeks of paid parental leave
Generous vacation policy
Work from home office set up stipend and internet stipend during COVID-19
Blend Autopilot week 3 update: Nima Ghamsari on why Blend built Autopilot, the Pre-Underwriting Summary ships to production, and smarter document validation. Autopilot weekly update: week 3. Last week Blend Labs Inc. took Blend Autopilot on the road to Las Vegas for the ICE Mortgage Technology Experience conference and caught up with many of you in person. The reception was overwhelming: lenders already running Autopilot wanted to talk about what they're seeing, and lenders who haven't yet wanted to know how quickly they could get started. While Blend Labs Inc. were there, Nima sat down with HousingWire to talk about the vision behind Autopilot. At the same time, the team kept rolling out new capabilities. Keep reading for highlights from that conversation and what's new in Autopilot this week. Nima Ghamsari on why Blend built Autopilot. At ICE Experience, Co-Founder and Head of Blend, Nima Ghamsari, sat down with HousingWire's Allison LaForgia to talk about where AI is actually delivering value in mortgage origination, and where the industry still has a long way to go. The full conversation is worth watching. Here are the key ideas. Ghamsari describes Autopilot as a system of "ambient agents, agents that are working in the background as the consumer is entering any data field, as they're uploading any document." As that happens, "Autopilot is reading it, understanding it, underwriting against the guidelines and other fraud and other kinds of things that have to be checked." The shift, as he sees it, is from rules-based automation to agents that handle complexity. "If you ask any underwriter, they say they spend all of their time on the edge cases," he said. Older automation could only handle the majority cases. With Autopilot: "We don't care what kind of document it is, we don't care what kind of data it is, we don't care how complex the person's income is. We're going to solve this for you." On consistency: "You don't want AI to hallucinate." After running his own complex financial profile through the system repeatedly, "I ran it through 100 times, I got the same exact answer from the AI every single time." And on where this is going: "Every single consumer has a very personalized, very tailored experience that's generated on the fly for them." The goal is to make "the underwriters and processors and the consumer... 100x more efficient." The pre-underwriting summary now ships in the product. Two weeks ago, Blend Labs Inc. introduced the Pre-Underwriting Summary: a structured PDF that distills every finding, calculation, and recommendation into one document. Blend Labs Inc. shared it with lenders and started collecting feedback. This week, it ships into the product, with significant enhancements based on what Blend Labs Inc. heard. The summary PDF now renders full income calculation breakdowns directly in the document. When Autopilot calculates qualifying income from a W-2, Schedule C, or K-1, the PDF shows every step: the formula, the inputs, the result, the unit, and the guideline citation. For a self-employed borrower where the agent averages two years of Schedule C income, subtracts business use of home, and adds back depreciation, each of those operations is laid out in the PDF itself, not just referenced. Income calculations now also carry GSE reference IDs, so every number in the summary is traceable back to the specific guideline rule that produced it. For underwriters, this means one document with everything: findings, methodology, and audit trail. For compliance teams, every calculation is citation-linked and reproducible. Preview to production in two weeks. That's the pace. Document validation is smarter and more transparent. Two improvements this week to how Autopilot handles document review. First, the document classification and validation prompts have been significantly improved. The agent is now more accurate at identifying document types and catching issues, particularly for edge cases where documents are incomplete, mislabeled, or not what was requested. Second, when a document doesn't pass validation, the borrower now sees specific reasons why. Instead of a generic "please re-upload" message, the borrower gets actionable feedback tied to what was actually wrong with their submission. Wrong document type? Missing pages? Illegible scan? The system tells them exactly what to fix. This matters because vague document requests are one of the biggest drivers of borrower confusion and follow-up abandonment. Specific, clear feedback means faster re-uploads, fewer support calls, and fewer loans stalling on document collection. Loan officers now see a full Autopilot activity history. When Autopilot processes documents, creates follow-ups, calculates income, and resolves tasks on a loan, every action is logged. Loan officers could already see this activity, but on complex loans with many documents and borrower interactions, the list could get long. The agent activity feed now supports full pagination. Loan officers can scroll through the complete history of what Autopilot did on a loan, from first document to latest follow-up, without hitting a wall. For operations teams processing high volumes, this means complete visibility into agent behavior on every loan, no matter how many actions were taken. Improvements under the hood. Beyond the headline features, the team shipped a series of quality, reliability, and infrastructure improvements this week: * Per-lender feature flags: Autopilot now supports tenant-based feature flags with automatic updates, giving lenders granular control over which capabilities are active in their environment. * Expanded evaluation coverage: New eval scenarios for wrong-document detection (incomplete and dummy uploads) and bank statement account ownership verification. These evals run continuously to catch quality regressions before they reach production. * Summary generation reliability: Fixed edge cases that caused summary PDF generation to fail in certain sandbox configurations. * Asset data pipeline: Restored asset data fetching in application data retrieval, ensuring the agent has complete financial context when processing documents. * 10+ internal improvements across CI pipelines, test coverage, tracing, and code quality. What's coming next for Autopilot. Four new capabilities and a full slate of reliability improvements this week, shipped while the team was on the road at ICE Experience. The reception from lenders has been strong. Dozens of lenders have activated Autopilot since launch, many self-serving directly into production without an onboarding call. The conversations at ICE Experience reinforced what Blend Labs Inc. is seeing in the data: lenders want this, and the ones who've turned it on are seeing results immediately. Looking ahead, Blend Labs Inc. is continuing to expand what Autopilot understands. Credit analysis, pricing, fees, and DU results are on the roadmap, giving the agent a fuller picture of each loan. And borrower chat is coming, where borrowers can interact with the agent directly about their loan, their documents, and what's needed next. Every improvement ships automatically to every lender with Autopilot activated. No upgrade cycles. No implementation projects. The agent gets better every week. Blend Labs Inc.'ll be back next Wednesday with what's new. Blend Autopilot is currently in preview and free to activate and use during the preview period for all Blend customers. To get started, visit your Lending Config Center or contact your Blend account team. Blend Labs Inc. publish a new update every Wednesday. Subscribe to the Autopilot weekly update to make sure you stay up to date with everything Blend Labs Inc. is shipping.
Blend Labs has launched Blend Autopilot, an AI agent that completes mortgage loan origination reviews in 15 seconds. The tool reviews borrower documents and application data in real time, performs compliance checks, generates follow-ups and updates application fields automatically. Traditional mortgage origination takes 30 to 60 days and costs over $11,000 per loan. Blend Autopilot addresses delays by responding instantly when borrowers upload documents or complete applications, particularly outside business hours when 53% of borrower interactions occur. The non-decisioning tool automates document review whilst leaving credit decisions to underwriters. It is currently in preview and free to activate for all Blend platform customers through a single toggle in the Blend Lending Config Center. Blend says the tool improves borrower experience by reducing unnecessary documentation requests whilst maintaining consistency across loan reviews.
Blend Labs, a digital origination platform for financial institutions, has expanded its verification capabilities to streamline mortgage lending processes. The company enhanced its Verification of Income and Employment offering through a partnership with Truework, adding Smart Outreach to automate non-instant verifications and eliminate manual workflows. Blend also introduced Supplemental Asset Reports to satisfy 10-day pre-closing employment verification guidelines using electronic data rather than paper-based methods. According to the company, 55% of verification reports are completed within 24 hours, with 87% finished within 72 hours. The enhancements aim to improve speed and borrower experience, which research shows is critical to customer satisfaction. A Gitnux report indicates satisfaction drops 10 points for every delay beyond original closing estimates.
Matt Thomson joins Blend as head of revenue. Blend Labs Inc. confirmed Tuesday in a filing with the Securities and Exchange Commission (SEC) that Matt Thomson has joined the company as its head of revenue. Thomson brings more than 25 years of fintech sales leadership experience, including building and scaling go-to-market organizations. As head of revenue, he will lead Blend's sales organization and revenue strategy, with a focus on expanding the company's presence among financial institutions.
Transforming lending with seamless Digital Workflows. Lessons from California Credit Union on operational excellence in lending. The Blend team had a fantastic time at Future Branches Austin 2025, an event focused on how financial institutions are evolving their physical and digital channels to meet modern customer expectations. One of the most insightful sessions was "Seamless Lending Starts with Modern Digital Workflows," featuring Jason Pugh, SVP of Mortgage Lending at California Credit Union, and Blend's Product Marketing Lead, Sara Maaske. Jason offered a powerful look into how California Credit Union (CCU) transformed its end-to-end lending process by partnering with Blend. The key takeaway? Technology is only as good as the processes it supports, and customer obsession must drive all digital transformation. The friction problem: documents, disconnections, and delays. The session kicked off by addressing the all-too-familiar "Friction Problem" in lending. Prior to Blend, the application process at CCU had a fragmented member experience and manual, paper-heavy processes. Jason illustrated the scope of the problem: a single loan could require a member to navigate through over 100 documents and multiple different document types. This friction is the "enemy" in a competitive market, often leading to abandoned applications. Data over documentation: the power of single sign-on (SSO). A fundamental shift in CCU's strategy, enabled by Blend, was moving from documentation to data. This is where Blend's single sign-on (SSO) feature for assets proved to be a game-changer for speed and member satisfaction. SSO allows a member to connect to their Primary Financial Institution (PFI) seamlessly to pull financial data in the background without requiring the applicant to manually upload asset statements. This enables the system to access high-quality asset data directly into the loan file. * Member Adoption: Despite initial skepticism, Jason was surprised by the adoption rate: "I'm shocked at how many of our clients give us access to their assets, about 32%." * Operational Efficiency: The biggest win for efficiency comes later in the process. When documents expire, the processor no longer has to ask the borrower for an updated bank statement, a major pain point that causes frustration. Jason emphasized: "The cool thing about SSO is once we have those credentials, we can just hit refresh and get a new asset statement and move to close without going back to the borrower." Operational excellence drives growth. Jason stressed that technology is an accelerator, not a fixer, to operationalizing solutions. "Blend as a software will not fix bad processes or bad operations. What it's done for us is helped turbocharge what I think to be very sound operations." His focus on operational excellence is tied directly to customer loyalty and growth. He shared a powerful perspective on how they view every transaction: "We look at every mortgage transaction as a job interview, meaning the buyer's agent and the seller's agent we are interviewing for their business." If a loan doesn't close smoothly, they won't get repeat business or valuable referrals from realtors. Tangible results: faster closings and higher satisfaction. CCU's commitment to modern workflows delivered clear, measurable results, focusing on member satisfaction, time to close, and application quality. * Time to Close: Some loan officers confidently close in 15 days, something they couldn't say years ago, and refinances saw a 9 day improvement. * Member Satisfaction: CCU tracks its Net Promoter Score (NPS) post-close and is currently running at about 94, with a goal to reach 95 next year. * Growing Wallet Share: The positive mortgage experience is designed to "wow" members so much that they will bring in their direct deposit relationships and other business. As Jason put it, they are focused on "making sure that we can be a one-stop shop for all of their financial needs while we have their captive attention for 30 days as they're closing their mortgage." The future state: hybrid close. Looking ahead to 2026, CCU's roadmap includes refining the document bundle and adopting hybrid close. This addresses the final piece of friction in the digital journey: the antiquated paper closing. Jason shared a personal anecdote about a recent refinance, describing the shock of moving from a smooth digital process to sitting with a notary and signing a 100-page, paper-heavy document file. "It seems kind of odd at the very end, we go from this digital experience to this antiquated paper experience. And so I just think it's a better solution to have them if they're already engaging with us digitally, why not just make the loan document signing that much more of a pleasant experience?" Jason's advice to peers. To financial institutions thinking about improving their customer experience, especially in lending, Jason offered one piece of crucial advice: "The first thing I would say is if you still have paper in your processes, that's step one that you have a problem." Blend provides a single platform delivering a unified omnichannel experience across products, making this digital transformation possible. Ready to create a seamless lending experience? Next level growth: Credit Union opportunities in a changing market. Unlock next-level credit union growth strategies. Learn to solve blockers, blend physical/digital, and leverage AI to drive sustainable growth. Growth engine 2.0: how leading lenders are turning existing demand into real revenue. Discover the 9 operational strategies leading lenders use to stop attrition, optimize verification, and improve pull-through. Blend showcases intelligent quality control for housingwire. Blend demonstrates how AI can automate the foundational work of loan quality control, empowering QC analysts to focus on high-judgment, high-value exception review.