Own the vision, strategy, and execution of our foundational AI platform
Build the brain and the nervous system of our entire product suite
Guide the development of our in-house Large Language Models (LLMs) and imaging models
Define the roadmap for agentic AI systems
Create a world-class platform that unlocks capabilities our users haven't even imagined yet
Requirements
**Basic Qualifications**
- Bachelors Degree Required in Computer Science or related field.
- 6+ years experience in product management
- Hands-on AI/ML Background: You have a past life as an ML Engineer, AI Researcher, or Data Scientist. You have hands-on experience building and shipping machine learning models. You must be able to command the respect of our senior AI engineers through your deep technical credibility.
- Full-Stack Model Expertise: You understand the entire lifecycle of large-scale models (LLMs, Diffusion Models, etc.) from a first-principles level. This includes:
- Training & Data: You can strategically guide decisions on data acquisition, pre-training vs. fine-tuning, and novel training methodologies.
- Inference & Optimization: You deeply understand the trade-offs between latency, cost, and performance, and can drive the roadmap for model quantization, distillation, and efficient serving.
- Mastery of Applied AI Craft: You know how to turn a powerful but raw model into a magical, reliable product. You are an expert in:
- Evals: Designing and implementing robust, multi-modal evaluation frameworks (both automated and human-in-the-loop) to rigorously measure and improve model quality.
- Agentic Systems: Architecting and building AI agents that can reason, plan, and use tools to accomplish complex tasks.
- Advanced Prompting: You are a master of prompt engineering, including sophisticated techniques like meta-prompting and Chain of Thought to elicit the best possible performance from models.
- Platform & API Architecture: You are a true platform builder. You know how to design clean, scalable, and intuitive APIs that developers love. You obsess over developer experience (DX), documentation, and building a platform that accelerates the entire organization.
- Proven AI Shipping Experience: You have a track record of shipping V1 AI-powered products, from consumer-facing features to developer-level platform services.
- Strategic & Systems Thinking: You can reason from first principles about the long-term trajectory of AI. You can connect advancements in research to concrete product opportunities and build a coherent technical strategy that spans multiple years.
- Exceptional Technical Communication: You can effortlessly translate the most complex AI concepts to any audience. You can debate RLHF implementation details with the research team and then explain the business impact of a new model to the executive team in the same day.
- MLOps Acumen: You understand the infrastructure that underpins modern AI and can contribute to the strategy for our tooling, deployment, and model monitoring systems.
- A "Wartime" Owner Mentality: You are an independent, relentlessly resourceful operator. You have an obsessive bias for action and run through walls to get the job done. You see a technical frontier, you chart a path, you rally a team, and you conquer it.
**Preferred Qualifications**
- Startup DNA: You've worked at a seed or Series A startup or have tried to build your own thing.
- Research Contributions: You have published papers at top AI conferences (e.g., NeurIPS, ICML) or have made significant contributions to major open-source AI projects.
- AI Ethics & Safety: You have a strong and nuanced understanding of the risks and ethical considerations of building powerful AI systems.
- Hardware Knowledge: You understand the underlying hardware (GPUs, TPUs, interconnects) and how it impacts model architecture and performance.
**This Role Is Not a Fit For You If...**
- You see product management as just writing tickets. Your job is to be the technical and strategic visionary for our core AI.
- You are a "glorified project manager." Your job is to define the what and the why with extreme technical clarity, not just track the how.
- You are afraid to get your hands dirty with technical details. You must be able to read a research paper and immediately grasp its product implications.
- You feel your job is to "manage" engineers. Your job is to empower our world-class AI team with a compelling vision and deep technical partnership.
- You want to wait for the technology to be perfect. We ship and iterate in one-week cycles, even on the bleeding edge of AI.