AI Engagement Manager

About the role

ABOUT PARETO

Humanity is in a virtuous cycle: human insight improves AI, and better AI expands what people can do. Sustaining it depends on the one input that can't be automated: expert human judgment https://pareto.ai/blog/debating-persuasive-llms-truthful-answers.

At Pareto, we build the platform that turns that judgment into the data https://pareto.ai/blog/community-driven-knowledge-resource-ai, evals https://pareto.ai/blog/introducing-attunebench, and RL environments frontier models https://pareto.ai/blog/llm-metacognition-shared-and-shallow learn from. We work with leading frontier labs like Anthropic and GDM, and we give skilled people everywhere a way to shape the future of AI and share in what it creates.

This RL environment and human-data infrastructure is already in production. Our job now is to scale it.

ABOUT THIS ROLE

AI Engagement Managers own the relationships with Pareto's most important accounts. The clients are AI labs and model builders using Pareto's data pipelines to train next-generation models. You work directly with researchers, TPMs, and PMs at organizations like Anthropic and GDM, understand what they're building, and make sure Pareto is the execution partner they call first.

This is account management with real technical depth. You own renewal, expansion, and account health. You catch problems before they surface and spot growth before the client thinks to ask. That's the job.

What You'll Do

- Own a portfolio of flagship AI lab and model-builder accounts as the primary point of contact

- Build relationships across researchers, PMs, TPMs, vendor ops, and procurement at each account. Multi-threaded, not single-contact.

- Partner with Product, Delivery, and Engineering to design solutions covering data labeling, evals, RLHF, and red-teaming workflows

- Drive renewal and expansion. Own timing, stakeholder alignment, and commercial outcomes.

- Keep living account plans that surface risks, track active use cases, and flag growth paths before they go cold

- Work with Sales on handoffs and with Delivery to show up as one team to clients

- Bring structured customer insights into roadmap planning with Product and R&D

What You'll Need

- 2+ years in customer-facing roles with technical buyers: Engagement Management, Strategic Accounts, Customer Success, or product-adjacent ML/data roles

- Experience managing complex multi-stakeholder accounts, preferably at AI labs, model builders, or R&D-driven organizations

- Working knowledge of ML and data workflows: data labeling, evals, RLHF, red-teaming, or adjacent areas

- Demonstrated ability to lead solution design and scoping alongside Delivery and Operations

- Experience owning or co-owning renewals, expansions, and commercial outcomes

- Strong written and verbal communication across researchers, PMs, executives, and procurement

You'll Stand Out If You Have

- STEM background or strong technical fluency in CS, Engineering, Stats, ML, or Economics

- Experience at an AI data provider, ML infrastructure platform, or developer tools company

- Existing relationships within the AI/ML ecosystem

- Experience working inside R&D-driven organizations where priorities shift with the research

You Probably Aren't the Fit If

- You're most comfortable when client needs are stable and well-documented. Accounts here move fast, and requirements shift with the research.

- You prefer a narrow, well-defined function. This role covers relationship management, solution design, and commercial ownership at the same time.

- You want to manage from a distance. AI EMs are high-contact with clients and internal teams. That's how it works.

Why Pareto

Your accounts are building some of the most consequential AI systems being built right now. You'd know what Anthropic and GDM are trying to solve before it's public, and what you do keeps the data pipeline running that makes it possible. Equity is part of the package.