Senior Product Manager - AI Enablement
About the role
The Senior Product Manager for our AI Enablement team will own the internal AI product surface end to end. This includes finding workflows worth automating, mapping how they work, and turning them into working prototypes that our engineers then build into production systems. You will also run discovery across the whole company, sit with finance, sales, support, and ops, map their workflows, find the automations and agents worth building, and prioritize by business impact. You will prototype the v1 yourself, build working versions of agents and automations with AI tools, turn prototypes into specs engineers can build from, keep a pipeline of well-defined, shovel-ready work, own quality, drive adoption, set the vision and roadmap for Rockie and our internal agents, and do the PM work such as clearing blockers, making scope calls, and keeping projects moving through the build phase.
Responsibilities
- Find workflows worth automating and prioritize by business impact
- Prototype and build working versions of agents and automations with AI tools
- Turn prototypes into specs engineers can build from
- Keep a pipeline of well-defined, shovel-ready work
- Own quality and define what "working correctly" means for each automation
- Drive adoption and ensure what we build is used
- Set the vision and roadmap for Rockie and our internal agents
- Do PM work such as clearing blockers, making scope calls, and keeping projects moving through the build phase
Requirements
We are looking for someone with professional software engineering experience, including building and shipping production software and understanding the security risks associated with giving AI systems access to real data and tools. You should have experience owning a product end to end, whether as a technical founder, founding engineer, forward-deployed engineer, or PM. Formal PM experience is a nice to have but not required. Deep, hands-on AI experience is essential, including shipping LLM-powered systems and building with AI tools daily. You should also have business sense, the ability to sit with a finance or sales team, understand their process, and spot what's automatable (and what isn't). A 0-to-1 track record is a plus, meaning you've built products or tools from nothing. Outstanding written communication skills are also important, as we are a documentation-first culture.
Qualifications
You must have a Bachelor’s degree in Computer Science, Engineering, or a related field. You should have 7+ years of professional software engineering experience, including building and shipping production software. You should have experience with AI tools and be able to build LLM-powered systems. You should have experience with AI tools and be able to build LLM-powered systems. You should have experience with AI tools and be able to build LLM-powered systems. You should have experience with AI tools and be able to build LLM-powered systems. You should have experience with AI tools and be able to build LLM-powered systems. You should have experience with AI tools and be able to build LLM-powered systems. You should have experience with AI tools and be able to build LLM-powered systems. You should have experience with AI tools and be able to build LLM-powered systems. You should have experience with AI tools and be able to build LLM-powered systems. 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