Platform Venture Studio · 8 hours ago

Technical Founder-in-Residence, Talent Acquisition

California, United States

Full-time

Remote

Senior Level, Lead/Staff

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Responsibilities

Build the MAP (Minimal Awesome Product): Leverage existing tools and platforms, focusing on assembling components rather than building everything from scratch to quickly test and refine the concept.

Technology Strategy: Help select the stack and infrastructure for the product.

AI Integration: Leverage LLMs to create automated workflows.

Team Leadership: Work with Platform's studio team to assemble and lead a technical team as the product evolves.

Collaboration: Partner with a non-technical founder and other studio team members to align technical execution with business objectives.

Iterate and Scale: Take user feedback, optimize product features, and prepare for future scaling phases.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

AI IntegrationLarge Language ModelsVenture-Backed ExperienceWeb-Based PlatformsTechnical Team LeadershipMachine Learning

Required

Coachability: Being coachable is crucial for startup founders. It's about being open to learning, adapting, and growing from feedback.

Sales Aptitude: Sales are everything in the early days of a startup. From fundraising to hiring to closing deals, everything revolves around selling.

Ambiguity Tolerance: Embracing ambiguity is vital for startup founders. High ambiguity tolerance means being comfortable with uncertainty and staying adaptable.

Venture-Backed & Tech Domain Knowledge: Experience in venture-backed startups and tech, including AI and Large Language Models (LLMs), is a significant advantage.

Proven experience taking projects from 0 to 1, with a knack for assembling and optimizing building blocks to create impactful solutions.

Experience in building web-based platforms, ideally with Artificial Intelligence (AI), Machine Learning (ML), Large Language Models (LLM), and an automation focus.

A proactive, bias-to-action attitude with a strong sense of ownership and accountability.

Are comfortable communicating and working with a non-technical founder.

Passion for solving big problems and navigating the challenges of startup life.

Ability to work effectively in ambiguity and thrive in a fast-paced, dynamic environment.