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

Open nowPosted 45 days ago

Enterprise Product Manager

0g8 open roles

Where
Singapore
Work mode
Remote
Get the CV for this job

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

Your applicationOpen nowEnterprise Product Manager0g · Singapore

  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 0g'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.

7.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.6%1 day
  2. 3.4%3 days
  3. 7.8%7 days
  4. 14.3%14 days
  5. 33.7%30 days
This job: posted 45 days ago

The posting

ABOUT THE ROLE

0G is looking for an Enterprise Product Manager to help shape and scale our AI infrastructure products for enterprise customers.

You will sit at the intersection of customers, business development, and engineering—understanding how enterprises want to use AI compute, storage and infrastructure, translating those needs into scalable products, and driving execution from discovery through launch and adoption.

This is a hands-on role for someone who combines strong product judgment with enough technical depth to work closely with infrastructure engineers and enough commercial instinct to understand what enterprise customers will actually adopt and pay for.

We are particularly interested in candidates who have built products in cloud infrastructure, AI infrastructure, compute, storage, databases, developer platforms, or other technically complex B2B environments.

RESPONSIBILITIES

- Own product strategy and roadmap for 0G's enterprise AI infrastructure offerings

- Work directly with enterprise customers to understand technical requirements, workflows, pain points and adoption blockers

- Translate customer and commercial needs into clear product requirements, PRDs and engineering priorities

- Partner closely with engineering on product architecture, scope, trade-offs and delivery

- Distinguish one-off customer requests from capabilities that should become scalable platform products

- Work with BD and GTM teams on enterprise deals, including product feasibility, roadmap alignment and solution positioning

- Define product requirements across areas such as compute, storage, APIs, networking, security, observability, billing and usage management

- Own prioritization across customer demand, engineering constraints and long-term product strategy

- Drive products from discovery and 0→1 development through launch, adoption and iteration

- Define and track product metrics including adoption, utilization, performance, reliability, cost and revenue impact

- Conduct competitive analysis across AI infrastructure, GPU cloud, storage and developer infrastructure

- Develop pricing, packaging and commercialization strategies together with business teams

- Build feedback loops between enterprise customers, BD and engineering

- Represent the product with customers and partners when deep product or technical discussions are required

REQUIREMENTS

- 5+ years of product management or closely related experience, ideally building technical B2B or enterprise products

- Experience working on cloud infrastructure, AI/ML infrastructure, compute, storage, databases, networking, developer platforms or similarly technical products

- Strong track record of working directly with enterprise customers and translating customer needs into scalable product capabilities

- Demonstrated ability to work closely with engineering teams on technically complex products

- Strong product judgment and ability to prioritize competing customer, commercial and engineering requirements

- Comfortable discussing APIs, cloud architecture and distributed systems with technical teams

- Experience owning products from discovery and requirements through launch and iteration

- Strong written and verbal communication skills

- Comfortable operating independently in a fast-moving startup with ambiguity and changing priorities

PREFERRED QUALIFICATIONS

- Experience with GPU compute, AI training/inference infrastructure, IaaS/PaaS, Kubernetes, storage or distributed systems

- Experience at an AI infrastructure, cloud, database or developer-infrastructure startup

- Experience building 0→1 enterprise infrastructure products

- Experience with pricing, packaging, usage-based billing or enterprise commercialization

- Experience partnering directly with enterprise sales/BD on large customer opportunities

WHAT WE OFFER

- Purpose: The opportunity to contribute to making AI a public good

- Growth: A self-directed environment where you can take initiative to shape your role and career

- Compensation: Market-competitive compensation including, for most roles, exposure to pre-launch tokens

In addition, 0G Labs is committed to the health and well being of all of our team members. To that end, we provide reimbursements towards a holistic set of experiences and courses:

- Core self: Transcendental Meditation

- Mind: Landmark Education https://www.landmarkworldwide.com

- Emotion: Art of Communication

- Presence: Speech Coach

- Body: Fitness, gym and exercise memberships/classes

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 0g'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 0g'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

    0g'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.