Inception Point AI

Role Description We are looking for a Full Stack AI Engineer who leans heavily into the Front-End and UX/UI experience. Currently, our internal tools lack the intuitiveness needed for our creative team to be fully self-sufficient. Your mission is to build and rebuild the front end of our tech stack, creating a seamless "Human-in-the-Loop" experience that allows our creative team to scale without constant manual intervention from engineering. Key Responsibilities - Front-End Leadership: Rebuild the front end of our tech stack and establish a long-term front-end strategy for the company. - Product Usability: Design and develop UI/UX that is "customer-minded," making internal AI tools easy to use and intuitive for non-technical creative teams. - Full Stack Execution: While front-end is the priority, you will act as a generalist, helping with data structures and back-end troubleshooting to ensure the platform is robust and scalable. - AI Orchestration: Act as an "AI-forward" engineer, using AI as a pairing partner to accelerate development and building interfaces that dynamically adapt to LLM outputs. - Technical Debt Reduction: Identify and resolve existing technical debt within our "Arc" platform to improve performance and reliability. Qualifications - Deep competency in at least one modern front-end framework (React, Tailwind CSS, or CSS) is required. - Strong experience with data engineering and troubleshooting is a "humongous bonus" as you will eventually assist in scaling our data architecture. - You must be comfortable driving AI to do the work for you; we are looking for engineers who use AI to move faster, not those who are afraid of it. - You are comfortable working in a high-growth environment where documentation may be sparse and processes are still being defined. - You are humble enough to collaborate with others but confident enough to question leadership to find the best solution. Requirements - Experience building complex platform front ends, ideally for AI or high-interaction websites. - Proficiency in React, Tailwind CSS, and/or modern CSS. Preferred - Knowledge of Node.js, Python (FastAPI), and WebSockets. - Familiarity with Vector Databases and LLM APIs (OpenAI/Anthropic). Benefits - This is a "green field" opportunity to build the front-end discipline from the ground up at an AI-first company. - You will work with unreleased technology from NVIDIA and AWS, significantly increasing your market value while building tools that define the future of media creation. Success Criteria (First 90 Days) - 30 Days: Complete onboarding and get fully up to speed on existing undocumented systems. - 60 Days: Begin shipping code for self-sustained special projects with a controlled "blast radius." - 90 Days: Integrate into the normal SDLC rhythm, producing outcomes that entice the creative team to use internal platforms autonomously.

• Create the dashboards, tracking systems, and analytics pipelines that measure (and drive) audience growth where no baseline currently exists. • Develop and execute growth strategies across social (Instagram), video (YouTube, TikTok), and audio (Podcasts). • Build AI agents and utilize "Clawd bots" to automate and optimize audience acquisition, distribution, and engagement beyond traditional tools. • Foster deep engagement across platforms to turn casual, passive viewers into a loyal core community. • Work with our AI personalities (e.g., Claire, Nigel, Olly) to cross-pollinate audiences and maximize individual reach across the network.

• Develop deep, committed character Bibles that fuel the prompts for visuals and scripts. • Master the nuances of prompting, including expert-level use of negative prompting to refine AI outputs; Work fluently with AI tools such as (or similar to): • Drive the workflow to produce long-form videos and create short-form and long-form AI-generated videos for YouTube, Instagram, TikTok, and other platforms; Translate scripts into compelling visual stories using AI video, image, and motion tools; Assemble scenes, b-roll, character visuals, pacing, and transitions into polished final videos. • Apply strong visual judgment around tone, rhythm, framing, and storytelling; Match visuals to the voice, personality, and brand identity of each IPAI host; Experiment with formats while maintaining consistency and quality across episodes. • Extract social snippets/offshoots from long-form content for daily posting on TikTok, Instagram, and YouTube. • Combat daily AI challenges such as lip-sync quality, character "drift," and high video production costs through creative workarounds. • Take the initiative to suggest new tools and techniques, teaching the rest of the team how to "move the ball" forward; Collaborate with creative leads, writers, and producers to execute content efficiently; Take feedback well and iterate quickly; Flag opportunities to improve speed, quality, or scalability in the workflow.

• Partner with the engineering team to lead the knowledge transfer of "Atlas" (built in Python), taking full architectural ownership and ensuring its continued health and progression. • Using Apache Airflow to manage and optimize the daily ingestion of analytics from multiple disparate sources (social media, podcast platforms, etc.) to ensure a clean, reliable, and "healthy" data stream. • Act as a "data detective" to identify what information we are missing and prioritize new data collection that aligns with our financial stability and growth levers. • Build and maintain intuitive dashboards (e.g., Power BI or custom builds) that allow non-technical peers to answer basic everyday questions without needing manual engineering support. • Transform raw data into structured, "customer-ready" packages to support our heavy push into data licensing. • Utilize your knowledge of the media analytics landscape to guide the organization on whether to build custom internal tools or leverage existing 3rd-party social media analytics solutions.

• Define long-term product vision • Lead ambient product discovery • Manage the product backlog • Liaise between creative and engineering teams • Build and maintain product processes • Own end-to-end product lifecycle

• Define the long-term product vision and prioritize where to invest product effort • Lead ambient product discovery to identify promising opportunities • Manage the product backlog and ticketing • Liaise between the creative and engineering teams • Build and maintain the organizational "engine" • Navigate diverse priorities and perspectives of stakeholders • Own the end-to-end product lifecycle

• Intellectual Property & Bible Creation: Develop deep, committed character Bibles that fuel the prompts for visuals and scripts. • AI Prompt Engineering: Master the nuances of prompting, including expert-level use of negative prompting to refine AI outputs; Work fluently with AI tools such as (or similar to): • High-Volume Video Production: Drive the workflow to produce long-form videos and create short-form and long-form AI-generated videos for YouTube, Instagram, TikTok, and other platforms; Translate scripts into compelling visual stories using AI video, image, and motion tools; Assemble scenes, b-roll, character visuals, pacing, and transitions into polished final videos. • Creative Execution: Apply strong visual judgment around tone, rhythm, framing, and storytelling; Match visuals to the voice, personality, and brand identity of each IPAI host; Experiment with formats while maintaining consistency and quality across episodes. • Social Optimization: Extract social snippets/offshoots from long-form content for daily posting on TikTok, Instagram, and YouTube. • Technical Problem Solving: Combat daily AI challenges such as lip-sync quality, character "drift," and high video production costs through creative workarounds. • Collaborative Innovation: Take the initiative to suggest new tools and techniques, teaching the rest of the team how to "move the ball" forward; Collaborate with creative leads, writers, and producers to execute content efficiently; Take feedback well and iterate quickly; Flag opportunities to improve speed, quality, or scalability in the workflow.

About Inception Point AI Inception Point AI is a media-tech company building the next generation of AI-powered personalities, shows, and content brands. We blend cutting-edge AI tools with storytelling, design, and production discipline to create scalable, high-quality content across YouTube, social platforms, and podcasts. Our work sits at the intersection of creativity, automation, and entertainment — and we’re building systems that allow great ideas to move fast. Role Overview As the Vice President of Engineering, you will be responsible for the highest-level technical decisions of the company. You are not just a manager; you are a "doer" who is excited to remain hands-on with code while architecting the frontier of AI-powered media. Reporting directly to the CEO, you will partner with Product and our Chief AI Officer to determine the technical direction of the business. We are looking for a Senior Engineering Leader who can own and build the next-gen tech stack that enables our intellectual property to scale. You will lead the transition from experimental automations to a robust, scalable production system that can handle millions of transactions per day. 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. - Hands-on Development: Maintain a hybrid role, contributing directly to the codebase while managing the engineering organization. - System Scalability: Build the technology that facilitates a high volume of content production and supports diverse monetization streams, including licensing and subscriptions. - AI Orchestration: Manage and evolve our AI-assisted code development and progressive agentic development orchestration. - Team Building & Culture: Establish engineering processes (sprints, code reviews, deployments) and eventually hire and mentor a team of 3-10 engineers. - Cross-Functional Collaboration: Act as a bridge between the technical team and non-technical stakeholders, earning trust through clear communication and reliable shipping cycles. - Operational Excellence: Ensure sustainable engineering velocity by systematically managing technical debt and making disciplined tradeoffs between speed and structural soundness. - 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. Qualifications 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. Required - Engineering Leadership: 5+ years of experience leading engineering teams, preferably in a 0→1 environment. - 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. - AI/ML Integration: Proven experience integrating AI/ML into production systems, specifically leveraging multi-agent AI orchestration. - Media Tech Fluency: Familiarity with audio/video processing pipelines and media distribution (RSS, CDNs, platform APIs). - Startup DNA: A "nothing is beneath me" attitude with the ability to manage ambiguity and move significantly faster than traditional production cycles. - 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. - 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. - 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. - Social Platform Savvy: Background in building systems for YouTube, TikTok, or Instagram video production. - Data Pedigree: Experience building data pipelines for content analytics and audience insights. 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. Why This Role is Exciting 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.

• Partner with product leadership to design and execute the product roadmap while determining the long-term technical architecture of the business. • Maintain a hybrid role, contributing directly to the codebase while managing the engineering organization. • Build the technology that facilitates a high volume of content production and supports diverse monetization streams, including licensing and subscriptions. • Manage and evolve our AI-assisted code development and progressive agentic development orchestration. • Establish engineering processes (sprints, code reviews, deployments) and eventually hire and mentor a team of 3-10 engineers. • Act as a bridge between the technical team and non-technical stakeholders, earning trust through clear communication and reliable shipping cycles. • Ensure sustainable engineering velocity by systematically managing technical debt and making disciplined tradeoffs between speed and structural soundness. • 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.