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Open nowPosted 244 days ago

Software Engineer

Petra Labs5 open roles

Where
New York City
Work mode
On site
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Your applicationOpen nowSoftware EngineerPetra Labs · New York City

  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 Petra Labs'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.

12.1% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 244 days ago

The posting

About Petra Labs

Petra Labs is building the attribution and experimentation layer for AI search. We believe the future of commerce will be shaped by AI-driven information retrieval, yet most companies lack the infrastructure to understand and capitalize on this emerging growth channel. Petra Labs uses large-scale simulations, agentic analysis, and deeply embedded integrations to turn AI search from a black box into a measurable growth channel teams can rigorously optimize and allocate spend against.

Raised $5M+ in funding from Tier-1 VCs. We work in our SoHo, New York office.

Culture

- We hire a small number of extremely talented people and give them as much ownership and autonomy as possible

- We are truth-seeking. Transparent, direct discourse is encouraged. We challenge existing beliefs in pursuit of always getting better

- We work hard and are unapologetic about the level of effort required to build a generational company

What You’ll Do

- Define and build product end-to-end. Deeply understand user needs to iterate on, deploy, and scale software, with extreme ownership

- Operate at the frontier. We tackle ambiguous, unsolved problems in AI search that require running experiments to uncover novel insights

- Design and build large-scale systems, data models, and infrastructure

You’ll Excel in This Role If You

- Can quickly and effectively decompose large, ambiguous problems and systems

- Have built real products before and are comfortable owning large technical surfaces

- Have strong fundamentals in system design and databases, with good judgment around when to move fast versus build for scale

Process

1. Hiring Manager Screen

2. Technical Interview

3. Technical Interview

4. On-Site Interview

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  1. A CV for this posting

    Written against Petra Labs'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 Petra Labs'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

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

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  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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Why it works

3×

more interviews than doing it yourself with ChatGPT.

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  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • 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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The numbers game

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