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

Open nowFirst seen 4 days ago

Product Manager - AI SW Infrastructure (AI Software Stack / Compiler / Platform) - IL

majesticlabs/aa.00433 open roles

Where
Raanana Israel
Work mode
On site
Get the CV for this job

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

Your applicationOpen nowProduct Manager - AI SW Infrastructure (AI Software Stack / Compiler / Platform) - ILmajesticlabs/aa.004 · Raanana 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 majesticlabs/aa.004'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.

12.3% 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. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: first seen 4 days ago

The posting

We’re a fast-moving, US-Israeli AI startup building next-generation infrastructure for the world’s most demanding AI workloads. Our mission is to accelerate the future of intelligence and make it ubiquitously accessible by delivering full stack custom AI servers optimized for large-scale inference and training.

Backed by top-tier investors and led by industry veterans, we’re scaling rapidly. We seek forward-thinking engineers and operators who thrive in a collaborative environment and excel at solving complex challenges from first principles. If you want to build infrastructure that fundamentally changes what the world can accomplish with AI, come join us!

About the position



We are building the next generation of AI infrastructure-from custom silicon to the servers and systems that power the world's largest AI models. Our vertically integrated approach enables us to optimize every layer of the AI compute stack, delivering breakthrough performance, efficiency, and scalability.

We’re looking for a visionary, highly technical Senior Product Manager who thrives at the intersection of data center infrastructure, server-grade hardware and software, systems engineering, and AI to lead our AI software stack, compiler platform, and server system software.

This role is responsible for defining and delivering the software ecosystem that makes Majestic's system completely seamless for developers and cloud infrastructure teams. You will own the compiler roadmap, runtime engines, and framework integrations that translate standard deep learning model representations into highly optimized execution paths on the Ignite APU.

Responsibilities



  • Translate customer, engineering, and business requirements into detailed Product Requirements Documents (PRDs), technical specifications, and feature definitions.
  • Develop detailed product schedules, milestone plans, and release timelines while managing dependencies across multiple engineering organizations.
  • Compiler Pipeline and Toolchain Roadmap: Define requirements for the software and AI model compilation toolchain
  • Framework Integration and Interoperability: Lead product partnerships and technical integrations with major machine learning frameworks and runtimes, ensuring native support for PyTorch, JAX, vLLM, SGLang, and Hugging Face Optimum without requiring customer code modifications.
  • High-Performance Kernel Optimization Roadmap: Define performance optimization roadmap for low-level operator libraries, including BLAS, custom OpenAI Triton kernels
  • Scale-Out and Clustering Orchestration: Define requirements for clustering and multi-node scale-out configurations, ensuring seamless execution across scale-out setups utilizing SLURM, Ray, LMCache, etc.
  • Developer Platform Usability: Act as the primary advocate for developer experience, monitoring how software compiles and executes in customer sandboxes, and proactively removing the need for manual memory management scripts, custom compiler hacks, or API wrappers.

Requirements

  • Education: Master of Science (M.Sc.) or Doctor of Philosophy (Ph.D.) in Computer Science, Electrical Engineering, Mathematics, or Physics is a strict, non-negotiable requirement.
  • AI Software Stack Expertise: Minimum of 5 to 8 years of experience in product management or software systems engineering, with a proven track record of shipping compiler technologies, deep learning frameworks, or developer platform tools.
  • Parallel Programming Fluency: Deep theoretical and practical understanding of CUDA, Triton, high-performance C++ DSP libraries, and multi-threaded parallel computation paradigms.
  • Scale-Out Infrastructure Knowledge: Demonstrated familiarity with HPC scale-out infrastructures, distributed memory architectures, and networking protocols designed for high-performance clustering.
  • Prior experience at accelerated software, cloud, or startup organizations building complex AI compute systems, such as NVIDIA, Meta, Google, AWS, SambaNova, Cerebras, Groq, or Lightning AI.

Preferred Qualifications



  • MBA or equivalent experience in technology commercialization or product strategy.
  • Active contributions to open-source AI infrastructure projects, compilers (MLIR/LLVM), or performance optimization libraries.
  • Direct experience working inside a frontier AI lab or foundation model organization (e.g., OpenAI, Anthropic, xAI, Google DeepMind) developing large-scale distributed systems.

We seek smart, curious, self-driven individuals who enjoy creative problem-solving and continuous learning. Even if you don't meet all requirements, we'd love to hear from you if you have the mindset to tackle complex challenges.

Majestic Labs is an equal opportunity employer deeply committed to diversity of background and thought. If you are ready to dare greatly, learn from mistakes, engage in vigorous debates, and help create a step-function shift in human technical capability, we want to meet you!

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 majesticlabs/aa.004'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 majesticlabs/aa.004'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

    majesticlabs/aa.004'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.