Player-Coach VP, AI Platform Engineering

Oscar Faye; San Francisco (CA); On-site; USD 250,000 - 500,000; Full time

Benefits offered by this job

Equity at founding-team level

100% paid health, dental and vision

401(k)

Daily meals

Commuter benefit

Wellness stipend

Frontier AI tools provided

Visa transfers and sponsorships

Job summary

Oscar Faye partners with a venture-backed agentic AI company to hire a VP of Platform Engineering. You will own the AI platform core, lead the platform engineering team, and still write code, review PRs, and influence architecture decisions.

You will work daily with the CEO and CTO on releases and new platform initiatives built from scratch, shaping velocity, quality and observability while growing the team in San Francisco.

Qualifications

• 10–16 years of engineering experience, including 4–6 years in leadership.
• Experience scaling through growth in revenue, funding and team size.
• Production-scale platform experience in agentic AI, LLM/ML infrastructure, or conversational/voice AI. Still hands-on and technical, not a pure people manager.
• Startup experience (Series A–D) strongly preferred. VP-level candidates from big tech with an exceptional track record will also be considered.

Responsibilities

• Own the AI platform core end to end: agent runtime, LLM orchestration, retrieval systems, evals, integrations and the agent-authoring platform.
• Lead and grow the platform engineering team (about 4 engineers today, expanding).
• Velocity, quality and reliability across tooling, eval gates and observability.
• Build the engineering culture as the company grows to its next stage.

Skills

Leadership

Scaling teams

Hands-on engineering

VP-level experience

Startup experience

Education

BS/BA in Computer Science

Tools

TypeScript

Python

LLMs

Agentic AI

Distributed systems

Cloud architecture

ML infrastructure

Retrieval systems

API design

Job description

Oscar Faye partners with a venture-backed agentic AI company to hire a VP of Platform Engineering. You will own the AI platform core, lead the platform engineering team, and still write code, review PRs, and influence architecture decisions.

You will work daily with the CEO and CTO on releases and new platform initiatives built from scratch, shaping velocity, quality and observability while growing the team in San Francisco.