Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 2 hours agoWe saw it 18 min after it went up

Software Architect, CTO Lab

JFrog75 open roles

Where
Tel Aviv/ Netanya, Israel
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowSoftware Architect, CTO LabJFrog · Tel Aviv/ Netanya, Israel

  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 JFrog'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.

13.9% of postings close within 7 days. Measured by our own scanner across the market. JFrog postings stay open a median of 41 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.9%7 days
  4. 22.4%14 days
  5. 38.1%30 days
  6. 59.0%60 days
This job: posted 2 hours ago

JFrog median: 41 days open

The posting

At JFrog, we’re reinventing DevSecOps to help the world’s greatest companies innovate. Our team of industry-leading software security experts is a true pioneer, constantly pushing the boundaries with original research and technological innovation. JFrog is a special place with a unique combination of brilliance, spirit, and just all-around great people. Thousands of customers, including the majority of the Fortune 100, trust JFrog to manage, accelerate, and secure their software delivery from code to production – a concept we call “liquid software”. Wouldn't it be amazing if you could join us on our journey?

About the Lab

JFrog manages the software supply chain for 80% of the Fortune 100 – packages, container images, ML models, agent skills, MCP servers, and AI-generated code. The rules are changing fast, and we are looking for strong engineers who can build the next generation of tools to manage, govern, and secure it all. JFrog's CTO Lab is a small, senior, multidisciplinary, innovative, and autonomous team building what comes next. We sit across the entire platform – Artifactory, Xray, Curation, AppTrust, JFrog ML, AI Catalog, Fly, Runtime, Distribution – and our job is to figure out how AI changes all of it. We run focused experiments, prototype fast, demo often, and grow what works into products alongside JFrog's product and engineering groups.

This role has two modes. In Build mode, you'll work across the full breadth of the platform – from artifact management and security to ML lifecycle and developer experience. In Scout mode, you'll be our antenna – evaluating new AI frameworks as they drop, scanning for emerging patterns in agentic AI, supply chain attacks, and developer tooling, and feeding evidence into JFrog's strategic decisions.

As a CTO Lab Architect at JFrog you will build:

  • AI-powered supply chain intelligence – Agentic systems that reason over artifacts, dependencies, and release signals to move past static block/allow rules toward decisions a senior engineer would make.
  • Agent systems and governance – build and secure AI agents that operate against registries, pipelines, and deployment systems. Extend JFrog's controls to the AI artifact stack we ship today – MCP Registry, Agent Skills Registry, AI Catalog – and design the next generation of governance models.
  • AI woven across the platform – versioning, security, and provenance for AI artifacts, and capabilities that make developers faster wherever speed, trust, or judgment can be amplified.
  • Evaluation and measurement – benchmarks and pipelines that prove AI-powered approaches actually outperform traditional ones. Data beats opinions.
  • Technology scouting and signal analysis – evaluate new AI frameworks and security innovations as they emerge. Concise assessments of what's real, what's hype, and what it means for JFrog.
  • Engage with developers, architects, product leaders and customers. Present, analyze and lead architecture discussions.

To be a CTO Lab Architect at JFrog you need…

Must Have

  • 7+ years building distributed, large-scale systems (or equivalent depth) – you've shipped production software, not just prototypes.
  • Hands-on with AI/ML systems – you've built something real with LLMs, embeddings, RAG, or agent frameworks (LangGraph, CrewAI, AutoGen or similar). You understand prompt engineering, context windows, token economics, evaluation, agentic protocols (MCP, A2A and alike), and failure modes.
  • Strong practical experience as a software engineer – you know how to write clean, modular code.
  • Independent Starter – you can independently produce demos and prototypes from scratch with a clear sense of where shipping begins.
  • Judgment under ambiguity – you can take a hard, open question and come back with a working prototype and data. You'll kill your own project when the evidence says it doesn't work, and you'll be proud of what you learned.
  • Technical leadership – you can analyze tradeoffs and guide teams, lead technical discussions and promote practical agreements with strong engineering practices.

Strong Advantage

  • Experience building AI agent systems – tool use, function calling, MCP, multi-step reasoning, sandboxing, and the security/governance of giving agents access to real infrastructure
  • Hands-on with MLOps or ML model management – model registries, versioning, serving, monitoring, or security scanning
  • Background in DevSecOps, supply chain security, or compliance – SBOMs, Sigstore, SLSA, OPA/Rego, DORA, FedRAMP, or package ecosystem internals (npm, PyPI, Maven, Go modules, Docker)
  • Familiarity with JFrog's platform (Artifactory, Xray, Curation, AI Catalog, JFrog ML, JFrog CLI)
  • Prior work in a research lab, innovation team, or early-stage startup where you built zero-to-one

The best person for this role isn't the one with the most impressive resume. It's the one who's already been building things like this on nights and weekends — and just needs the platform, the data, and the backing to do it full-time.

What We Offer

  • Real problems at real scale - billions of artifacts, thousands of enterprise customers, and an AI transformation that's just getting started.
  • Freedom to pick the right tool for the job - Claude, GPT, open-source models, fine-tunes, or classical ML. No vendor lock-in.
  • A small team of senior peers who push back on your ideas and make them better.
From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against JFrog'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 JFrog'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

    JFrog'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

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • 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.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and 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.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.