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
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

