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Remote role, common Product Manager title, mid-level (4+ years), and metro location increase applicant competition.
Requires direct LLM/agent product experience and enterprise compliance knowledge, limiting cross-industry transferability.
Mandatory 4+ years, hands-on LLM/agent experience, and code/schema fluency make filters highly strict.
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Own product lines of AI agent systems including outcomes, roadmap, sequencing, and quality bar.
Design and specify agent behavior involving prompt architecture, model selection, schema contracts, failure modes, and guardrails.
Build functional prototypes with live model calls, define and run evaluation sets, and collaborate daily with engineering and GenAI teams to deliver shipping products.
4+ years of product management experience, ideally in B2B SaaS.
Hands-on experience with LLM / agent products including prompt design, structured output, retrieval integration, tool/function calling, and evaluation.
Fluent in AI tooling workflows, capable of writing specs, building prototypes, running analysis, and reading code or API contracts.
Strong written communication skills to clearly explain technical decisions to diverse stakeholders.
Experience working directly with LLMs, multi-agent or voice AI systems and AI orchestration stacks (e.g., OpenAI, Anthropic, LangChain).
Comfortable managing non-deterministic AI products, accountable for diagnosing and fixing model failures without escalation.
Skilled at operating in an ambiguous, fast-cycle environment with ownership over technical specs and product decisions, including direct customer and enterprise engagement.