Related skills
llmπ Description
- Lead the Lovable agent end-to-end, owning quality, roadmap, and feedback loops.
- Shape how the agent reasons, acts, and delivers for millions of users.
- Represent the user: synthesize findings on agent performance with clarity.
- Run discovery end-to-end: user interviews, competitive research, eval analysis, prompt experiments.
- Own the quality bar for agent outputs: eval infra and regression monitoring.
- Projects first: rebuild evaluation framework to catch regressions early.
π― Requirements
- 6+ years in software with ownership of an AI/LLM product in PM or engineering.
- Hands-on experience building agent-based systems; understands planning loops and reasoning.
- Technical fluency: you program or have programmed; read model outputs and traces.
- Strong product sense and systems thinking; balance speed with foundational work.
- Preferred: deep familiarity with prompt engineering and evaluation frameworks.
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