Stellenbeschreibung
Intro Are you excited by the opportunity to become a part of a badass team leading the AI-first data revolution? Do you thrive on solving hard problems (individually and collectively), yet humble and hungry to learn and grow within a team on your path to greatness? Do you desire to become a part of a close-knit pack led by SV startup veterans who can accelerate your growth 10X (compared to the corporate trajectory/culture)? If you’ve answered with 3 resounding "yes", then we want to meet you! We are looking for a hands-on AI Innovator who is driven and passionate about rapidly launching real-world AI solutions with impact while shaping the future of agentic AI systems. Specifically, we are not building LLM wrappers, rather cutting-edge AI solutions with many tuned models in areas such as computer vision and NLP - while scaling out our next-gen multi-agent data infrastructure to bring them to life. We value builders with strong product intuition, a deep understanding of modern AI workflows, and a bias toward action. This is a highly technical and strategic role: you’ll move fast, work closely with founders, and help shape our approach to intelligent, privacy-preserving data systems. Tasks Key Responsibilities Innovation: Rapidly prototype and implement AI solutions across various use cases, including computer vision, personal health LLMs, and NLP sentiment analysis, to accelerate time-to-market. Infrastructure Development: Design and maintain dynamic data indexing systems and private, encrypted ETL pipelines within sovereign data clusters. Agent Orchestration: Extending our multi-agent orchestration platform that dynamically engages AI agents working collaboratively with secure and permissioned data computations. Collaboration: Engage with cross-functional teams to ensure seamless integration of AI solutions, participating in both on-site and off-site events to foster teamwork and innovation. Communication: Proactively discuss and strategize data onboarding and processing methodologies to enhance system performance and security. Requirements Experience: Proven track record of launching solutions from concept to scale, with tangible revenue generation. Technical Proficiency: Extensive experience with data solutions aimed at building robust, distributed platforms serving millions of users. Entrepreneurial Mindset: Background in closely collaborating with founders or small, dedicated teams to drive innovation; prior entrepreneurial experience is a plus. AI Integration Insight: Alignment with the philosophy that agile data onboarding and dynamic indexing are foundational to AI workflows. Prototyping Skills: Ability to swiftly develop cutting-edge AI prototypes across diverse domains to reduce time-to-market. Knowledge Sharing: Valuing practical, hard-earned knowledge and demonstrating a commitment to continuous learning. Team Engagement: Willingness to participate in team-building activities and events to strengthen collaboration and innovation. Benefits Competitive Compensation & Meaningful Equity: We value talent and back it with fair, founder-level alignment. You’ll own a real stake in the company’s future. High-Impact, High-Ownership Role: You won’t be a cog in the machine. You’ll own initiatives end-to-end and help shape the core of our AI stack and company direction. Work Directly with the CEO & Founding Team: Collaborate daily with the CEO and technical leadership to drive product, strategy, and long-term vision. Build What Doesn’t Exist (Yet): We’re working on first-principle AI infrastructure that doesn’t exist elsewhere. If you’re here to do original, meaningful work — this is it. Zero Bureaucracy, Maximum Autonomy: We move fast, stay lean, and keep decision-making close to the builders. Your input drives the roadmap. Flexible, But In-Person Matters: We’re remote-first, but we believe in the power of face-to-face time. We hold monthly gatherings/hackathons in SF and Europe, to stay aligned and build real momentum together. Results still matter more than hours — but we show up when it counts. Closing Our Hiring Process We move fast, stay transparent, and focus on real collaboration. Here’s what the process looks like: Intro Call – A quick chat to align on expectations, interests, and team fit. Technical Deep Dive – A focused conversation with our Engineering Manager to explore your technical thinking and past work. CEO Interview – A strategic discussion around vision, mindset, and long-term alignment. Reference Collection – We’ll speak with a few people you’ve worked closely with. Paid Trial (~5 Days) – A short, real-world engagement so we can see how we work together — happening in parallel with offer and terms discussion. Please note: As a startup, you can expect a fast-paced environment where extreme ownership is required. If you are seeking a traditional corporate 9-to-5 role, this may not be the right fit. "It's not 10,000 hours, it's 10,000 iterations”; "Work like a lion” - Naval Ravikant