Kenya
Products are the reason I got into tech. Not the models, not the pipelines. The moment a person uses something you built and their work gets easier. That's what I'm chasing. I'm an AI product manager with hands-on experience in machine learning, data science, and GenAI systems. I care deeply about building AI products that actually serve customers, not just technically impressive things that ship and sit unused. My edge is that I speak both languages. I can sit with a customer who can't articulate what they need, and then turn around and have a real conversation with an ML team about whether RAG or fine-tuning is the right call. No translator needed. Looking for AI PM roles in teams building GenAI, data products, or AI-native features. If you care about the customer as much as the technology, let's talk.
• Owned end-to-end product delivery for 3 client AI platforms: led discovery, wrote solution specs, defined delivery roadmap, and oversaw implementation through to live deployment • Defined and shipped a document intelligence product (RAG architecture, FastAPI + Pinecone + Hugging Face) that improved retrieval accuracy by 35%, replacing a manual review process the client's team ran daily • Identified a critical gap in a client's data pipeline, proposed a new multimodal OCR/CLIP product approach, and oversaw delivery of a system now processing 10,000+ records automatically • Established a release process (GitHub Actions + Docker + MLflow) that cut deployment time by 80%, giving clients a reliable cadence for shipping product improvements without breaking things • Managed LLM evaluation and improvement work with engineering teams using LoRA fine-tuning; maintained compliance documentation satisfying enterprise data governance requirements • Designed feature data products handling 15GB+ datasets with full end-to-end traceability, so the product team always knew what the model was learning from
• Delivered 15+ end-to-end product engagements for international clients across retail, agriculture, and non-profit sectors, maintaining a 4.9/5.0 rating by keeping the original customer problem as the definition of done • Acted as the PM/client bridge on every engagement: translated vague briefs into scoped product requirements, aligned stakeholders on scope, and delivered solutions that matched the original intent • Built 6 data product dashboards (Power BI, Tableau) for clients who used them to make resource allocation and strategy decisions they couldn't make before. The KPI frameworks came from understanding what decisions they needed to make, not what data they had. • Managed the full product lifecycle solo across 15+ contracts: discovery, spec, delivery, handover documentation, building the prioritization and stakeholder management discipline central to the PM role
• Led data product discovery with field teams and program managers across 3 active programs: ran requirements workshops, identified gaps in existing data collection, and proposed standardized workflows that fixed them at source • Defined and shipped data quality systems and collection SOPs that gave program leadership reliable data to act on, directly informing resource allocation for programs affecting real field beneficiaries • Produced bi-weekly strategic data products for senior leadership, translating messy operational data into executive-ready insights that shaped program design decisions each quarter • Built and delivered training for field staff on new data processes, product adoption work that embedded institutional knowledge and improved data quality across all 3 programs