Internal First, External Next: Lead the development of internal AI tools and workflows, with a clear roadmap to evolve them into customer-facing products.
Monetization Readiness: While initial focus is internal efficiency, design systems with future monetization in mind (usage-based pricing, credits, outcome-based billing).
Competitive Intelligence: Maintain a "Battlecard" mindset—track both internal performance and external market trends to ensure our solutions are 10x better, not 10% faster.
Prepare internal products for external launch by defining ICP, use cases, and ROI narratives early.
Balance Accuracy, Latency, and Unit Cost across internal AI systems, with scalability for external deployment in mind.
Build beyond copilots—develop autonomous agents that execute workflows (e.g., ticket resolution, QA automation).
Establish internal data pipelines and feedback loops (RLHF) that will later serve as a competitive advantage for external products.
Launch "Flash Builds" for internal users—prototypes in days, not months.
Use internal teams as your first users to validate product-market fit before external rollout.
Define and measure what “good” looks like—ensure reliability before scaling externally.

3+ Years of AI/SaaS PM Experience: Experience shipping products using LLMs, RAG, or agentic systems.
Builder Mindset: Proven ability to take products from 0 → 1, ideally starting with internal tools or platforms.
Commercial Awareness: Strong understanding of SaaS metrics (CAC, LTV, churn), with readiness to own revenue KPIs as the role evolves.
Technical Depth: Familiar with tokens, embeddings, prompt engineering, hallucination control, and model tradeoffs.
MSP/ITSM Knowledge (Bonus): Understanding of service desk workflows is a strong plus.
Global Collaboration: Experience working across US, China, and Philippines time zones.

Product Manager

Key skills