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EZRA
AI infrastructure for private credit and asset-backed finance
- —
- CVLPCWV+3
- San Francisco
- AI
Open roles at EZRA
3 positions we're tracking, re-checked daily
Know when EZRA is hiring before anyone else
A role stays uncontested for about four days. Here's the window, and where we put you in it.
From $5.99/week, cancel any time.
- live
- +2h+2hrole spotted & verified1
- +4h+4hyou get the alert1
- day 3day 3you've applied~8
- day 7+day 7+hits the job boards250+
What EZRA is building
Private credit is a $6 trillion global asset class and most of it still runs on email threads, PDFs, and manual diligence. When a lender wants to evaluate a deal, they get a data room full of unstructured documents and are expected to produce an investment memo, a risk assessment, and a due diligence checklist in a matter of days. Ezra turns that data room into a structured dataset automatically, extracts key deal terms and risks, and generates diligence materials with every output traceable back to the source document. No hallucinations, no black box. The founders ran internal benchmarks showing general-purpose AI models like GPT and Claude produce incorrect or unsupported answers roughly 30% of the time on private credit tasks. For institutions deploying billions of dollars, that's not a minor inconvenience. Ezra's system was built to eliminate it. They also run a two-sided marketplace: a borrower portal for companies raising asset-backed financing, and an investor portal for credit funds and broker-dealers sourcing deals.
Why this matters
The private credit market has grown from a niche alternative asset class into a $6 trillion global force that now competes directly with traditional bank lending. The participants in this market, credit funds, broker-dealers, family offices, infrastructure lenders, are still running their workflows on software built for a different era. Most attempts at AI adoption in this space have been generic chat interfaces bolted onto existing systems, producing outputs that experienced credit analysts don't trust. Ezra's founders know this firsthand: at Mosaic, they raised and deployed $15B+ in asset-backed and clean energy debt and built the institutional relationships to back it up. The Congruent Ventures investment is the most important strategic signal here. Congruent is specifically a climate and sustainability VC with over $1B AUM, focused on energy transition, mobility, and sustainable production. Their lead investment is not a generic "fintech is big" bet. It's a direct bet that Ezra will become the financing infrastructure for the clean energy transition: solar farms, battery storage, EV charging networks, grid modernisation, all of which require structured asset-backed debt and none of which have adequate digital tooling today.
Investors: Congruent Ventures (lead), Planeteer Capital, Wireframe Ventures, KDX Management, Stepchange Ventures, Leap Forward Ventures
Hiring outlook
Very High. Press release explicitly names engineering, data science, integrations, and portal expansion as headcount priorities. No jobs listed anywhere.
Working at EZRA
EZRA is a AI company based in San Francisco. Working at a AI company at this stage means opportunity to shape your role based on the company stage.
San Francisco is where most EZRA positions are located.
How to actually get hired at EZRA
Why applying the normal way doesn't work
There's an ATS, but at EZRA, referrals get priority. Your cold application competes with sourced candidates and internal recommendations.
Who to contact at EZRA
- Who decides
- the hiring manager
- Best channel
- LinkedIn or direct email
What to show them
Building investor and borrower portals at institutional quality, with document ingestion, structured output, and source traceability, is a non-trivial engineering problem. Ezra is a small team post-seed with a live product and a specific mandate to ship portal features. The engineering expansion is explicitly named in the press release. Core skills: Python, TypeScript or React, document parsing (PDFs, unstructured data extraction), RAG or document-grounded AI systems, API development, PostgreSQL or similar, financial data handling, source attribution and citation systems. Proof of work: Build a small tool that ingests a sample term sheet or loan agreement (use any public private credit document), extracts key structured fields (loan amount, interest rate, collateral, covenants), and cites the source paragraph for each extraction. Post the repo publicly and send a link with your email. This is almost exactly the core problem Ezra is solving.
A cold email that works at EZRA
What EZRA screens for
The press release is specific: funds will be used to "expand engineering and data science teams, deepen integrations with capital providers, and continue rolling out investor and borrower portals." That's three distinct hiring lanes in one sentence. Congruent Ventures' climate-first portfolio means the next wave of deals on Ezra's platform will be energy transition infrastructure, which requires someone who can speak credibly to both the financial structure and the project finance mechanics of those deals. The customer testimonial from ALMA's CEO ("evaluating twice the deals we were before with the same team") is the clearest GTM signal: the product value proposition is deal velocity per analyst, which means the next sales hire needs to speak the language of overworked credit teams, not just software buyers. No Wellfound page, no jobs board, no Ashby portal. Just hello@ezra.fi and two founders who built Mosaic.
A tailored CV beats a generic one. Use EZRA's job description language to clear filters.
Don't make these mistakes
Do not lead with generic "I'm excited about fintech" language. These founders have spent their careers in private credit and clean energy finance. If you can't speak credibly about asset-backed structures, how deal diligence actually works, or why credit accuracy matters in a way that doesn't sound like you just read the press release, you'll be ignored. The cold email surface is the product and the domain, not the funding announcement.
Mistakes that kill EZRA applications
Generic CVs stand out at a -person company — and not in a good way. Fastest path to rejection.
Don't open with what you want. Open with what EZRA is dealing with right now — The private credit market has grown from a niche alternative asset class into a $6 trillion global force that now competes directly with traditional bank lending, and what you'd do about it.
Most AI applications get ghosted. A day-five follow-up can double your response rate.
Applying to EZRA? Get the contact, not the form.
The EZRA interview process
We don't yet have verified candidate reports for EZRA. What follows is the typical process for a -person AI company, so treat it as a model, not confirmed detail.
Interview stages
- 1
Recruiter Screen
Phone or video · 30 min
What it testsBasic qualification and logisticsUsually run byRecruiter or HR - 2
Hiring Manager Interview
Video call · 45 min
What it testsRole fit and experience deep-diveUsually run byHiring manager - 3
Technical/Functional Round
Video call · 60 min
What it testsSkills assessment and problem-solvingUsually run byTeam members - 4
Final Round
In-person or video · 60 min
What it testsCulture fit and cross-functional alignmentUsually run bySenior leadership
EZRA take-home assignment
EZRA includes a take-home exercise in their interview process. For AI roles, this typically involves a practical problem that takes 2-4 hours. Focus on clean, working code over premature optimization. They're evaluating how you think and communicate, not just the solution.
EZRA interview timeline
Timeline: ~14 days. That's about average than the AI median (14 days at people).
Interviewed at EZRA?
Tell us how it went: stages, questions, timeline. Takes 90 seconds and it's how this page stays accurate for the next person.
EZRA jobs, frequently asked questions
How many jobs does EZRA have open?
As of October 2, 2026, EZRA has 3 open positions.
Does EZRA hire remotely?
All current EZRA roles are based in San Francisco.
What roles is EZRA hiring for?
EZRA is hiring across Engineering, Data, Product. The most recent opening is Full-Stack / Backend Engineer.
How do I apply for a job at EZRA?
Apply via the links above. For tips, read our guide on how to get hired at EZRA.
Does EZRA respond to cold emails?
Response rate data for EZRA not yet confirmed.
Who is the hiring manager at EZRA?
At this size, hiring is usually run by the hiring manager.
How competitive is it to get hired at EZRA?
Expect 100-250 applicants in the first two weeks for AI roles at this size. Apply within 72 hours for best odds.
How many rounds is the EZRA interview?
4 stages: Recruiter Screen, Hiring Manager Interview, Technical/Functional Round, Final Round.
Is the EZRA interview hard?
Expect technical depth and system design, not algorithm trivia. Candidates report Technical Interview as the toughest stage.
Does EZRA give a take-home task?
Yes, EZRA includes a take-home assignment.
How long does EZRA take to get back to you?
Around 14 days across the full process.
What should I prepare for the EZRA interview?
Focus on technical depth and system design. At people, they're testing whether you can operate without process, not whether you memorised algorithms.
Where is EZRA based?
EZRA is headquartered in San Francisco, US.
Get EZRA roles before they're posted
A role stays uncontested for about four days. Here's the window, and where we put you in it.
From $5.99/week, cancel any time.
- live
- +2h+2hrole spotted & verified1
- +4h+4hyou get the alert1
- day 3day 3you've applied~8
- day 7+day 7+hits the job boards250+
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