Product Manager, AI Revenue Systems
$235,000–$325,000 year
RemoteUnited States
Job Summary
Own the agentic tooling and workflows for GTM teams including SDR prospecting, Solutions discovery, and channel partner execution. Define data contracts, schemas, and pipelines that power GTM intelligence, while managing account scoring, routing, and assignment systems. Drive net new data acquisitions and ensure data accuracy for AI tools. Build eval frameworks, feedback systems, and dashboards to measure adoption and impact, using signal to improve the system over time. Partner closely with Engineering, Data Science, Design, Finance, and Sales leadership to ship foundation work that shapes how companies manage billions.
Required Qualifications
- 1–3 years of product experience, or 3 - 5 years of total experience in a role that built real judgment
- Deep hands-on experience building with AI: you've prototyped, shipped, and iterated on AI tools or agents
- Technical fluency with modern AI coding harnesses (Cursor, Claude Code, Codex)
- Working knowledge of core LLM concepts (prompting, embeddings, retrieval, evals)
- Comfortable in SQL and confident reading data
- Curious systems thinker who learns fast and defaults to building
- Comfort with 0-to-1 ambiguity
Desired Qualifications
- Broad GTM fluency and operational empathy for the field
- Strong working knowledge of GTM data and systems: CRM data models, sales engagement tooling, pipeline data, and intent signals
- Prior work in fintech, enterprise SaaS, or other domains where data quality is load-bearing
- Proven ability to manage senior stakeholders — you can earn trust with VP- and SVP-level leaders, align them on tradeoffs, and keep work moving without escalating everything
- Curiosity about externalizing internal AI work — turning what we build for our own GTM org into a product or market signal
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