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Jiffy.com · 4 hours ago

Sr. Product Manager (AI Platform and Generative Models)

San Francisco, CA

Full-time

Onsite

Senior Level

6+ years exp

Jiffy.com is a fast-growing and profitable startup at the intersection of AI, apparel, and culture. They are seeking a deeply technical Sr. Product Manager to architect their core AI platform, guide the development of large-scale models, and create a world-class platform that drives innovation and enhances user capabilities.

ApparelE-CommerceFashionPrinting

Comp. & Benefits

Responsibilities

Own the vision, strategy, and execution of our foundational AI platform, encompassing everything from proprietary large-scale models to the APIs that expose their capabilities to our consumer products and developer ecosystem

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

Designing and implementing robust, multi-modal evaluation frameworks (both automated and human-in-the-loop) to rigorously measure and improve model quality

Architecting and building AI agents that can reason, plan, and use tools to accomplish complex tasks

Mastering advanced prompting techniques like meta-prompting and Chain of Thought to elicit the best performance from models

Designing clean, scalable, and intuitive APIs that developers love

Shipping V1 AI-powered products, from consumer-facing features to developer-level platform services

Qualification

AI/ML BackgroundFull-Stack Model ExpertisePlatform & API ArchitectureProven AI Shipping ExperienceMLOps AcumenStrategic & Systems ThinkingAI Ethics & SafetyStartup DNAResearch ContributionsHardware KnowledgeWartime Owner MentalityExceptional Technical Communication

Required

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

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