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Open nowPosted 308 days ago

Founding Full Stack Engineer

Nura3 open roles

Pay
$130,000 – $200,000 a yearly
Where
Palo Alto, CA
Work mode
Hybrid
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Your applicationOpen nowFounding Full Stack EngineerNura · Palo Alto, CA

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Nura's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 308 days ago

The posting

Nura is the AI intelligence layer for real estate. We're helping America build more. We are backed by Afore Capital and angels from top real estate and financial institutions. We're a team of engineers building the infrastructure for how America finances and develops real estate.

The Role:

At Nura, we build products that sit at the center of how developers and lenders analyze deals. Our users range from real estate developers underwriting their next project to banks screening hundreds of loan requests. They rely on our platform to understand what can be built, whether a deal pencils, and how to move faster than their competition.

You'll sit at the intersection of engineering, product, and customers. You will translate messy real-world problems into clear technical solutions, make high-impact decisions under real constraints, and work directly with founders and customers to build products that close six-figure deals.

We move fast and ship constantly. You'll own what you build.

About the Role:

  • Early engineer with meaningful equity
  • Full-time role, hybrid
  • High-ownership environment with direct customer exposure
  • Close collaboration with founders and customers
  • Your code ships to production, not to a backlog

What Makes You a Good Fit:

  • Comfortable across the stack: React/TypeScript on frontend, Node.js or Python on backend
  • Experience with web scraping, unstructured data, or PDF parsing
  • Familiarity with LLMs and building AI-powered features
  • Comfortable with AWS or similar cloud environments
  • Experience building production systems with real paying users

Bonus Points:

  • Experience with geospatial data or mapping
  • Familiarity with real estate, fintech, or government data
  • Prior work scraping or parsing messy public data sources
  • Experience with RAG, vector databases, or document retrieval

Come help shape how America gets built.

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  1. A CV for this posting

    Written against Nura's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Nura's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Nura's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

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  5. Reply with AI

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  6. The interview in your calendar

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    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
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3×

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  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

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