VP of Engineering

Inception Point AIUnited States - Hybrid2d ago

In Office Vp NA Genomics VP of Engineering Go Python Claude Team Leadership Close

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Requirements

The ideal candidate is an obsessed builder who thrives at the intersection of AI and media. You should have a proven track record of shipping (not just architecting) complex systems in fast-moving startup environments.
Engineering Leadership: 5+ years of experience leading engineering teams, preferably in a 0→1 environment.
Engineering Leadership:
Technical Mastery: Demonstrated technical breadth with the judgment to select and apply the right language for the right problem (e.g., Go for orchestration, Python for data/ML), and comfort operating in an AI-assisted development environment (e.g., Claude Code) as a primary coding interface.
Technical Mastery:
AI/ML Integration: Proven experience integrating AI/ML into production systems, specifically leveraging multi-agent AI orchestration.
AI/ML Integration:
Media Tech Fluency: Familiarity with audio/video processing pipelines and media distribution (RSS, CDNs, platform APIs).
Media Tech Fluency:
Startup DNA: A "nothing is beneath me" attitude with the ability to manage ambiguity and move significantly faster than traditional production cycles.
Startup DNA:
Automation Expertise: Deep expertise in building automation systems at scale, with a clear understanding of systemic risk and the judgment to design and implement appropriate safeguards, monitoring, and fail-safes.
Automation Expertise:
AI-Enabled Engineering Strategy: Actively track and evaluate the rapidly evolving agentic coding landscape, integrating relevant tools and practices to continuously improve engineering leverage, quality, and speed.
AI-Enabled Engineering Strategy:
Remote-First Experience: Proven ability to build and sustain a high-trust, high-accountability engineering culture in a remote-first, distributed environment, while maintaining strong cross-functional alignment.
Preferred
Creative AI Experience: Familiarity with tools like ElevenLabs/Hume, HeyGen, Runway, or Midjourney.
Data Pedigree: Experience building data pipelines for content analytics and audience insights.
Data Pedigree:
What Success Looks Like
Success in this role means becoming a trusted member of the leadership team who "builds cool stuff at the frontier of AI".
Within 30 Days: You will have developed a deep working understanding of our current architecture and automation stack, and built strong, trust-based relationships with cross-functional partners.
Within 60 Days: You will be actively contributing to the codebase, operating in close partnership with Product on prioritization and execution, and delivering early, high-leverage improvements that build confidence across cross-functional stakeholders.
Within 90 Days: You will have made and implemented critical architectural calls, contributed materially to shipped product, established a predictable delivery rhythm, and initiated team expansion where needed.
Ultimately, you will build the tech stack that enables Inception Point AI to reach a $500M valuation by scaling our personalities and content to the global stage.

Responsibilities

Technical Leadership & Strategy: Partner with product leadership to design and execute the product roadmap while determining the long-term technical architecture of the business.
Technical Leadership & Strategy:
Hands-on Development: Maintain a hybrid role, contributing directly to the codebase while managing the engineering organization.
Hands-on Development:
System Scalability: Build the technology that facilitates a high volume of content production and supports diverse monetization streams, including licensing and subscriptions.
System Scalability:
AI Orchestration: Manage and evolve our AI-assisted code development and progressive agentic development orchestration.
AI Orchestration:
Team Building & Culture: Establish engineering processes (sprints, code reviews, deployments) and eventually hire and mentor a team of 3-10 engineers.
Team Building & Culture:
Cross-Functional Collaboration: Act as a bridge between the technical team and non-technical stakeholders, earning trust through clear communication and reliable shipping cycles.
Cross-Functional Collaboration:
Operational Excellence: Ensure sustainable engineering velocity by systematically managing technical debt and making disciplined tradeoffs between speed and structural soundness.
Operational Excellence:
Remote Team Leadership & Organizational Alignment: Foster a strong, accountable engineering culture in a remote-first, distributed environment—creating clarity, trust, and ownership within the team while sustaining tight, collaborative relationships across functions.
Remote Team Leadership & Organizational Alignment:

Benefits

This is a rare chance to help define how AI-powered media is built and distributed at a global scale. You will not just use existing tools; you will architect the engine that powers an entire universe of AI personalities. You will work with a visionary, ambitious team building something genuinely new in an industry that is being rewritten in real-time. You will work alongside experienced operators and builders who are deeply committed to shaping the next generation of AI-driven media. As our platforms and audiences expand, you’ll have the unique opportunity to grow into a foundational leader of a category-defining company, directly influencing the future of how digital stories are told and consumed.