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

Open nowPosted 392 days ago

VP of Engineering (Founding Team)

gradientflo19 open roles

Pay
$40,000 – $60,000 a yearly
Where
Hyderābād, India
Work mode
On site
Get the CV for this job

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

Your applicationOpen nowVP of Engineering (Founding Team)gradientflo · Hyderābād, India

  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 gradientflo'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.

11.8% 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. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 392 days ago

The posting

Role Overview

As the VP of Engineering at Vibecoderz, you will be responsible for building, scaling, and inspiring a world-class engineering team. You’ll manage a founding group of 7 senior engineers (PM, FE, BE, AI, Prompt, DevOps, QA) and align them around a shared mission: to create the world’s first AI Agentic Tutor platform for developers.

This role is equal parts strategy and execution. You will set the technical culture, define engineering excellence standards, and deliver product milestones on time. You will partner closely with the CTO and CEO, ensuring Vibecoderz technology is not just groundbreaking, but enterprise-ready, scalable, and reliable.

Key Responsibilities

  • Team Leadership & Culture Manage and mentor the 7 founding engineers, setting goals and accountability frameworks. Build a high-performance engineering culture rooted in ownership, velocity, and innovation. Recruit and scale the engineering org as the company grows beyond MVP.
  • Execution & Delivery Translate product strategy into an engineering roadmap, balancing speed with scalability. Ensure all teams (FE, BE, AI, Prompt, DevOps, QA) deliver on quarterly OKRs. Establish code review, testing, and release practices across the org.
  • Architecture & Technology Oversight Guide architecture decisions in alignment with CTO, ensuring scalable design across multi-agent systems. Oversee system performance, reliability, and security. Optimize collaboration between AI engineers, prompt engineers, and core backend/frontend teams.
  • Cross-Functional Collaboration Partner with Product Manager to ensure engineering priorities align with business outcomes. Represent engineering to external stakeholders (investors, partners, community). Bridge strategy with hands-on execution—jumping into technical reviews when needed.
  • Governance & Scaling Implement observability, security, and compliance frameworks. Ensure engineering metrics (velocity, uptime, error rates, deployment frequency) are tracked and improved. Own the hiring plan to double the team within 12–18 months.

Success Metrics

  • 90 Days (Probation Period): Align the 7-person founding team around a single engineering playbook (sprints, reviews, CI/CD standards). Deliver the MVP milestone (Text → Course, TutorAgent, real-time workspace). Define hiring needs for next 3–5 engineers.
  • 12 Months: Platform scales to 100K+ MAUs with <500ms latency in core workflows. Engineering org grows to 20+ people, with strong leads for each sub-team. Maintain 99.9% uptime and <1% production bug leakage. Establish Vibecoderz engineering culture as a magnet for top-tier AI/EdTech talent.

Must-Haves

  • 12–15+ years in engineering leadership, strictly in product companies.
  • Proven success scaling engineering orgs from MVP → 100K+ users.
  • Hands-on technical depth: FE/BE/AI systems, not just management.
  • Track record of building and retaining top-tier engineering talent.
  • IIT or equivalent pedigree strongly preferred.

Nice-to-Haves

  • Background in AI/ML-driven platforms.
  • Previous co-founding or early-stage startup leadership.
  • Public speaking / evangelism experience with developer communities.

Tech Stack Visibility

You will oversee and guide engineering teams working with:

  • Frontend: Next.js, Shadcn UI, Socket.IO, Firebase Auth, Browser-Use API
  • Backend: FastAPI, Cloud Run, API Gateway, Firestore, Cloud Tasks, Workflows
  • AI/Prompting: Google ADK, Gemini Pro/Flash/Vision/Live API, Pub/Sub, LangSmith, Langfuse
  • Data: Firestore, Neo4j Aura, Redis
  • Infra: Terraform, GitHub Actions, OpenTelemetry, GCP IAM/Firewall
  • Testing/QA: Playwright, Cypress, Pytest, LangSmith evals
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 gradientflo'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 gradientflo'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

    gradientflo'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.